Mental Health Status and Suicidality Among Bangladeshi Health Care Workers: A Year After the COVID-19 Pandemic

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Dhedharul Alam, Sujan Kumer Paul, Mahmuda Momi This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3857345/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background The coronavirus 2019 (COVID-19) cases and death tolls in Bangladesh are still rising a year after the pandemic began. However, no published data is available on mental health status and suicidality among Bangladeshi healthcare workers (HCWs) after a year of the pandemic. This study aimed to investigate the mental health status and suicidality among Bangladeshi HCWs after a year of the COVID-19 pandemic. Methods A cross-sectional nationwide multicentre survey was conducted in Bangladesh from March 8 to July 2, 2021. This study used the Bangla versions of the General Health Questionnaire (GHQ-12) and three COVID-19-related suicidality questions to assess mental health status and suicidality. Results The questionnaire was completed by a total of 2,047 HCWs from Bangladesh. The study findings indicate that the prevalence rates of mental health disorders, suicidal ideation, suicide plans, and suicide attempts were 38.6%, 3.9%, 2.4%, and 1.1%, respectively. The multivariate analysis revealed that participants who lived in urban areas with lower socioeconomic status and were single were significantly more likely to experience mental health problems and suicidal ideation. Respondents who lived with family had a significantly lower chance of experiencing mental health problems and suicidal ideation. Moreover, respondents who worked as frontline workers were significantly more likely to suffer from mental health problems, suicidal ideation, suicide plans, and suicide attempts. Moreover, it was observed that those with fewer than five years of professional experience had a considerably elevated likelihood of encountering mental health issues, while concurrently displaying a diminished probability of experiencing thoughts of suicide. In addition, respondents who exercised daily had a considerably lower risk of mental health problems and suicidal ideation. Conclusions The enduring impact of the COVID-19 pandemic on the mental well-being of HCWs in Bangladesh continues to be substantial, with a notable prevalence of mental health issues and suicidal tendencies. Based on identified factors, this study recommends formulating effective strategies, timely psychological support, and interventions to mitigate mental health problems and suicidality in HCWs. Bangladesh COVID-19 pandemic Health care workers Mental health Suicidality Figures Figure 1 Introduction The COVID-19 pandemic was first identified in the city of Wuhan, located in Hubei Province, China, in the year 2019. Since its onset, the virus has affected more than 225 nations and about 220 million individuals worldwide. Tragically, the sickness has resulted in the loss of approximately 4.4 million lives (as of September 5, 2021) [ 1 ]. Healthcare workers (HCWs) exhibit a higher susceptibility to COVID-19 compared to the general population, especially those who come into contact with individuals suspected or confirmed to have the virus. This heightened vulnerability stems from various factors, including an increased risk of infection, inadequate protection and limited experience in managing the disease, excessive work demands, significant lifestyle modifications, mandatory quarantine measures, and reduced social support [ 2 , 3 ]. These characteristics contribute to an increased susceptibility of mental health issues among HCWs, encompassing conditions such as depression, anxiety, insomnia, dread, and suicide. These challenges can significantly impede job productivity and have enduring implications for overall well-being [ 4 , 5 ]. A meta-analysis of the effects of Severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), and COVID-19 on HCWs' physical and mental health found that general health concerns (62.5%), depression (26.3%), anxiety (29.0%), post-traumatic stress disorder (20.7%), insomnia (37.9%), psychological distress (37.8%), fear (43.7%), burnout (34.4%), somatization (16.1%), and stigmatization feelings (14.0%) [ 6 ]. The study was conducted in Bangladesh, a South Asian nation that has had substantial effects on its healthcare system as a result of the COVID-19 pandemic [ 7 ]. The initial instance of COVID-19 transmission in Bangladesh was officially documented on March 8, 2020 [ 8 ]. As of September 5, 2021, the nation reported a total of 1.5 million confirmed COVID-19 infections and 26,563 fatalities [ 9 ]. The initial fatality of a medical practitioner in Bangladesh was documented on April 15, 2020, followed by the demise of a nurse on May 30, 2020. On September 7, 2021, a total of 9,407 healthcare providers were reported to have contracted the virus, resulting in 187 fatalities [ 10 , 11 ]. During the early stages of the COVID-19 outbreak in Bangladesh, Hossain et al. [ 12 ] discovered that 55.2, 71.9, and 60.6% of 203 HCWs had depression, anxiety, and fear, respectively. A comprehensive investigation exploring the effects of the COVID-19 pandemic on HCWs in Bangladesh revealed that the rates of depression, anxiety, sleep disturbances, and feelings of isolation among HCWs were 44, 78, 89, and 87%, respectively [ 13 ]. Suicidality is an umbrella term that encompasses a variety of suicidal self-injurious actions, including suicidal ideation, suicide plans, and suicide attempts, with suicide referring to the end of the process [ 14 ]. Suicide is a significant public health issue that affects people worldwide. More than 703,000 people commit suicide yearly, with many more attempting it. Approximately 77% of all suicides occur in low- and middle-income countries, such as Bangladesh [ 15 ], where the suicide rate was 9.2% globally and 3.7% per 100,000 people in Bangladesh [ 16 ]. Suicide is a significant cause of premature death among physicians [ 17 ]. Compared to the general population and other occupational groups, HCWs have a higher risk of suicide [ 18 ]. According to the evidence, suicide rates tend to rise during and following pandemics [ 19 ]. For example, during the Russian influenza outbreak in the United Kingdom in 1889–1894, the 1918–1919 Spanish influenza epidemic in the United States, and the 2002–2003 SARS outbreak in Hong Kong, increased suicide rates were recorded [ 20 , 21 ]. However, nine COVID-19-related suicide cases were reported in Bangladesh during the first stages of the outbreak, owing to fear, economic distress, and unemployment-related stressors [ 19 , 22 ]. Since January 2020, 29 suicides have been recorded in Pakistani media. Sixteen suicidality cases were linked to COVID-19 epidemics [ 23 ]. A recent case study based on press reports shows 26 global HCWs COVID-19-related suicide cases in various countries [ 24 ]. Infection with COVID-19, quarantine, job-related pressure, fear of coronavirus infection or transmission, observing the deaths of coronavirus patients, a lack of self-control, personal responsibility for being unable to do something about patients, longer work hours, and mental disturbance were the most likely causes for suicide among HCWs during the coronavirus pandemic [ 24 , 25 ]. However, to our knowledge, after more than a year, no study has examined the Bangladeshi HCWs' mental health status and suicidality. Therefore, the present study aimed to investigate the mental health status and suicidality among Bangladeshi HCWs after a year of the COVID-19 pandemic. The research goals were as follows: 1) to investigate the prevalence rates of mental health problems and suicidality (suicidal ideation, suicide plans, and suicide attempts) among Bangladeshi HCWs after a year of the COVID-19 pandemic; 2) to investigate the potential predictive value of several socio-demographic and clinical characteristics in relation to mental health issues, suicidal thoughts, suicide plans, and suicide attempts among HCWs in Bangladesh following one year of the COVID-19 epidemic. The results can be a significant reference for healthcare professionals, government and non-government officials, and those developing mental health policies in Asia and the rest of the world. Methods Study design The research study received approval from the Institutional Ethical Review Board of Holy Family Red Crescent Medical College & Hospital, situated in Dhaka, Bangladesh (Approval No: IERB/36). Prior to commencing the questionnaire, the participants were required to provide informed consent online. From March 8 to July 2, 2021, a cross-sectional survey was conducted across many centers nationwide using an online platform. The data was collected through the utilization of Google Forms and the Bangla language via an online platform. The survey link was distributed to participants using various electronic communication channels, including email, Facebook, Viber, WhatsApp, Imo, and other social media platforms, by the two research assistants. The individuals were extended an invitation to complete the form and disseminate the link within their respective networks in order to expand the outreach to a larger audience. The snowball method was employed to disseminate the survey link among their professional and social networks. The participants were informed about the voluntary nature of their participation in the study and were encouraged to distribute the survey link to their friends or acquaintances upon its completion. The privacy and confidentiality of all participants' data were guaranteed, along with the provision of information regarding the study's objectives, procedure, and participants' right to request the removal of their data at any point in time. Initially, 2,084 HCWs responded to the survey. Following the removal of incomplete surveys, 2,047 were retained for final analysis. The inclusion criteria were (i) being aged 18 years or over, (ii) being current HCWs, (iii) living in Bangladesh at the time of COVID-19, and (iv) being able to complete the entire survey. Participants The calculation of the sample size was conducted utilizing the Open Epi program. We assumed that the prevalence of mental health problems during Bangladesh's first year of the COVID-19 pandemic was 50%, as reported in a recent study [ 26 ]. This proportion of 50% would yield the highest possible variation and sample size. Based on a confidence level of 95%, a power of 80%, and a design effect of 2.5, the determined sample size was 960. To address potential non-response bias, the present investigation augmented the sample size by 10%, resulting in a final necessary sample of 1,056 individuals. Measurements Socio-demographic information The socio-demographic data of the participants included self-reported information regarding their gender, age, current place of residence, educational attainment, marital status, and socioeconomic status, which was categorized as lower, middle, or higher class. The participants were also inquired regarding their occupation, which included categories such as doctor, nurse, medical technician, hospital worker, or other. Additionally, they were asked to specify the type of job they had, distinguishing between frontline and second-line roles. Furthermore, participants were requested to provide their job titles, which encompassed designations such as senior, intermediate, junior, new, or other. Lastly, participants were queried about their employment experiences, categorized into four groups: those with job experience of < 5, 6–10, 11–19, or ≥ 20 years. Furthermore, "Yes" or "No" questions about living with family, having children, physical exercise, comorbidity status, smoking habits, providing direct care to infected patients, personal COVID-19 infection, family and friends infected with coronavirus, and death of their family and friends were included in the survey. Mental health status Mental health status was assessed with the Bangla version of the General Health Questionnaire (GHQ-12) [ 27 , 28 ]. It has been a popular self-reported assessment of mental health status over the last month. The questionnaire has 12 questions, six positive and six negatives, all of which are graded on a four-point scale: (1) never, (2) rarely, (3) occasionally, and (4) frequently. For a total score of 0 to 12, each item can be assigned a value of “0” (if option 1 or 2) or “1” (if options 3 and 4). The overall score of ≥ 3 indicated that the person's mental health problems were terrible. Its reliability in the current sample is very good (Cronbach's α value = 0.87). Suicidality Suicidality was assessed using studies conducted before or during COVID-19 [ 29 , 30 , 31 ]. The assessment of suicidal ideation involved posing the question: "Within the last month of the COVID-19 pandemic, have you experienced genuine contemplation of suicide?" The assessment of suicide plans involved the inquiry: "Within the past month of the COVID-19 pandemic, have you formulated any specific plans for engaging in suicidal behavior?" The measurement of suicide attempts was conducted by the utilization of a question that inquired: "Within the final month of the COVID-19 pandemic, have you made any attempts to commit suicide?". The response options were “yes” and “no.” Statistical analysis All statistical analyses were performed using SPSS statistical software version 20. For the general characteristics and study measures, descriptive statistics were used. The chi-square test was used to compare differences between respondents with and without mental health problems, suicidal ideation, suicide plans, and suicide attempts in each variable. Furthermore, the study employed binary logistic regression analysis to examine potential factors associated with mental health issues, suicidal thoughts, plans of suicide, and suicide attempts. The Hosmer and Lemeshow goodness of fit test assessed the adequacy of the model's fit. In the univariate analysis, all variables were included, whereas in the subsequent multivariate analysis, only the significant variables from the univariate analysis were included after adjusting for confounding factors such as gender, age, present domicile, and others. The study employed univariate analysis to calculate the crude odds ratio (COR) for a single predictor, and multivariate analysis to calculate the adjusted odds ratio (AOR) for several predictors. The dependent variables in this study encompassed mental health disorders, suicidal ideation, suicide plans, and suicide attempts. The analyses were performed with a confidence level of 95%, and statistical significance was determined by p-values less than 0.05. Results Socio-demographic characteristics Out of the total sample size of 2047 individuals, 53.2% were identified as male, while the remaining 46.8% were identified as female. Most participants were between the ages of 18-29-year-old (40.4%). The majority were residing in urban areas (72.8%), educated up to post-graduate degree level (50.1%), married (60.2%), middle-class socioeconomic status (56.6%), living with family (61.7%), and had children (51.5%). One-third of the participants had a doctor (33.0%). More than half of the participants had frontline workers (55.2%). The majority of the participants were junior employees (43.0%) with less than five years of job experience (49.1%), didn't engage in physical exercise (61.7%), didn't have comorbidities (67.9%), were non-smokers (68.9%), and provided direct service to infected patients (55.8%). More than one-third of the participants had been infected with COVID-19 (34.2%), had family members or friends infected with coronavirus (44.7%), and less than one-third of the participants had family members or friends who died from coronavirus (28.6%) (Table 1). Prevalence and distribution of mental health status and suicidality Fig. 1 illustrates the prevalence rates of mental health issues, suicidal thoughts, suicide intentions, and suicide attempts among HCWs in Bangladesh following one year since the onset of the COVID-19 pandemic. The prevalence and distribution of mental health conditions and suicidal tendencies. The prevalence rates of mental health problems, suicidal ideation, suicide plans, and suicide attempts were 38.6, 3.9, 2.4, and 1.1%, respectively (Table 2). This study discovered that respondents aged 30-39 had considerably greater rates of mental health problems (32.6 vs 14.3%, p < 0.01), and those aged 18-29 had greater rates of suicidal ideation (58.2% vs 6.3%, p < 0.01). Participants with a post-graduate degree (53.1 vs 0.8%, p < 0.01 and 55.1 vs 2.0%, p < 0.05), a middle-class background (57.8 vs 19.2%, p < 0.01 and 51.0 vs 8.2%, p < 0.01), and frontline workers (59.7 vs 40.3%, p < 0.01 and 71.4 vs 28.6%, p < 0.05) had considerably higher rates of mental health problems and suicide plans. Individuals residing in family households exhibited a considerably higher prevalence of mental health issues and suicide ideation compared to those residing in non-family households (73.3 vs 26.7%, p < 0.01 and 79.7 vs 20.3%, p < 0.001). Furthermore, individuals who did not partake in daily physical exercise demonstrated significantly higher rates of mental health problems and suicidal ideation in comparison to those who engaged in daily physical exercise (53.2 vs 46.8%, p < 0.01 and 72.2 vs 27.8%, p < 0.05). Moreover, those with children experienced significantly more mental health problems (60.8 vs. 39.2%, p < 0.01), while those without children experienced significantly more suicidal ideation (60.8 vs. 39.2%, p < 0.05). Furthermore, participants with less than five years of job experience had significantly greater levels of mental health problems (36.2 vs 15.9%, p < 0.01), suicidal ideation (67.1 vs 6.3%, p < 0.001), suicide plans (71.4 vs 6.1%, p < 0.01), and suicide attempts (65.2 vs 8.7%, p < 0.01) than those with more than twenty years of work experience. Furthermore, the prevalence rates of suicidal ideation were significantly higher among individuals with comorbidities and a smoking habit compared to those without (54.4 vs 45.6%, p < 0.01 and 62.0 vs 38.0%, p < 0.01). Similarly, the rates of suicide plans (59.2 vs 40.8%, p < 0.01 and 63.3 vs 36.7%, p < 0.01) and suicide attempts (60.9 vs 39.1%, p < 0.01 and 69.6 vs 30.4%, p < 0.01) were significantly higher in the presence of comorbidities and a smoking habit. Factors associated with mental health status and suicidality The variables that shown statistical significance in the univariate logistic regression analysis were then included in the multivariate analysis. After controlling for confounding factors, the multivariate logistic regression analysis (Table 3) showed that participants who lived in urban areas had a lower socioeconomic status and were single had significantly more likely to experience mental health problems and suicidal ideation (e.g., mental health problems among urban areas: AOR: 1.79; 95% CI: 1.43-2.23; suicidal ideation among singles: AOR: 6.10; 95% CI: 1.45-25.5). Individuals who resided with their family had a significantly reduced likelihood of encountering mental health issues (AOR: 0.64; 95% CI: 0.50-0.82) and having thoughts of suicide (AOR: 0.31; 95% CI: 0.16-0.58) compared to those who did not cohabit with their family. Participants who worked as medical technicians were considerably less chance of experiencing mental health problems (AOR: 0.53; 95% CI: 0.38-0.75), suicidal ideation (AOR: 0.46; 95% CI: 0.19-0.92), and suicide plans (AOR: 0.30; 95% CI: 0.11-0.78) than other professions. Moreover, respondents who worked as frontline workers were significantly more likely to suffer from mental health problems (AOR: 1.47; 95% CI: 1.16-1.65), suicidal ideation (AOR: 1.27; 95% CI: 1.08-1.59), suicide plans (AOR: 1.29; 95% CI: 1.06-1.74), and suicide attempts (AOR: 1.37; 95% CI: 1.09-1.82) than second-line workers. Besides, participants with less than five years of job experience had significantly more likely to experience mental health problems (AOR: 1.84; 95% CI: 1.07-2.86) and had less chance of experiencing suicidal ideation (AOR: 0.22; 95% CI: 0.05-0.86) than those with more than 20 years of work experience. Furthermore, those who exercised daily had a considerably lower risk of mental health problems (AOR: 0.80; 95% CI: 0.63-1.00) and suicidal ideation (AOR: 0.74; 95% CI: 0.12-0.97) than those who did not. In addition, respondents with comorbidities and smokers had a considerably higher risk of suicidal ideation (AOR: 3.22; 95% CI: 1.19-8.69 and AOR: 1.21; 95% CI: 1.04-1.56), suicide plans (AOR: 2.55; 95% CI: 1.60-10.8 and AOR: 2.10; 95% CI: 1.41-2.46) and suicide attempts (AOR: 3.63; 95% CI: 1.61-13.7 and AOR: 1.56; 95% CI: 1.02-1.88). Discussion It is the first study to investigate mental health status and suicidality among Bangladeshi HCWs after the first year of the COVID-19 outbreak. In the current study, the prevalence of mental health problems was 38.6%. This finding is similar to recent studies from Bangladesh (39.5%) [ 7 ], China (39.1%) [ 32 ], and Italy (33.5%) [ 33 ]. But, a higher prevalence of mental health problems using the GHQ-12 was reported in China (61.1%) [ 34 ], and Hong Kong (56.7%) [ 35 ]. However, the prevalence of mental health problems in this study using GHQ-12 was higher than in a study conducted in Canada (29%) [ 36 ], China (25.1%) [ 37 ], and Italy (21.2%) [ 38 ]. Moreover, a recent systematic review conducted by Ching et al. [ 39 ] addresses 148 studies with a total sample of 159,194 healthcare professionals in Asia during COVID-19, which found that the prevalence of mental health problems was 39.7% in Asia and 52.1% in Bangladesh during the COVID-19 pandemic. Another review found that the prevalence rate of mental health problems among HCWs exposed to coronaviruses was 37.8% [ 6 ]. The current investigation revealed that 3.9, 2.4, and 1.1% of the individuals exhibited suicidal ideation, suicide plans, and suicide attempts, respectively. The prevalence rates in this study are lower than in previous Bangladeshi studies. For example, the prevalence rate of suicidal ideation was discovered to be 5% in the first study on suicidal ideation, which was conducted in Bangladesh from April 1 to 10, 2020, among 10,067 people [ 40 ]. Moreover, from April 8 to 25, 2020, a web-based cross-sectional survey of 2,554 general population and 834 healthcare providers in Bangladesh found that 6.1% of the total participants were suicidal behavior [ 29 ]. Furthermore, a study of 756 young adults one year after the impact of COVID-19 on their suicidality found that 8.2% of the participants had symptoms of suicidal thoughts [ 41 ]. However, a recent literature review reported that the prevalence rates of suicidal ideation in Bangladesh range from 5 to 19.0%, which has risen since the pandemic began [ 42 ]. Moreover, Sahimi et al. [ 43 ] found that 11.1% of Malaysian HCWs reported current suicidal ideation (within the previous two weeks) during the first phase of the coronavirus outbreak and lockdown. Furthermore, a meta-analysis of 61 studies found that physicians attempted suicide at a rate of 1.0% and had suicidal ideation at up to 17% during non-pandemic periods [ 18 ]. In another review of 35 eligible studies with 70,368 physicians, Dong et al. [ 44 ] found that physicians' 1-year prevalence rates of suicidal ideation and suicide attempts were 8.6% and 0.3%, respectively. However, suicidality was greater in this study than in other nations. A study of 6,409 healthcare professionals in Belgium found that thirty-day suicidal ideation, suicide plans, and suicide attempts were reported in 1.5, 1.0, and 0.0% during the COVID-19 pandemic [ 5 ]. Another study of 5,450 Spanish hospital employees discovered that the prevalence of thirty-day suicidal behavior was 8.4% during the first wave of the coronavirus pandemic [ 45 ]. But those investigations were conducted in the early stages of the coronavirus outbreak and focused on suicidal thoughts and behaviors for thirty days. In addition to the research above findings, the coronavirus outbreak harmed the mental health issues and suicidality of HCWs. Before and after the epidemic, HCWs have a high demand for psychiatric care. Our study discovered that HCWs who lived in an urban area had a greater risk of mental health problems and suicidal ideation. A study from Bangladesh that discovered significant mental health issues among university students residing in urban areas during the coronavirus outbreak [ 46 ]. Furthermore, a study done by Tasnim et al. [ 47 ] in Bangladesh reported that university students in urban areas have a higher risk of suicidal ideation than those in rural areas, which is also consistent with our findings. Corresponding to a study during the SARS outbreak [ 48 ], MERS outbreak [ 49 ], and a recent study during the coronavirus outbreak [ 50 ], the findings of our study reported that single HCWs had a higher risk of mental health problems. Our findings also indicated that single HCWs had a higher chance of suicidal behavior. A systematic review of studies on suicidal behaviors conducted in Bangladesh during the coronavirus outbreak found that being single in marital status was a significant risk factor for suicidal behavior [ 42 ]. Similar results were discovered in other studies in Bhutan [ 51 ] and China [ 52 ]. Our study demonstrated that HCWs with a lower socioeconomic status was a greater chance of experiencing mental health problems and suicidal ideation. A prior study conducted among the general population and HCWs in Egypt during the coronavirus outbreak reported that low socioeconomic class was an important risk factor for mental health problems [ 53 ]. However, our findings also align with a study among university students, which found that students from higher socioeconomic families had more suicidal ideation than those from lower socioeconomic families [ 54 ]. Similar to previous research conducted before the pandemic, lower socioeconomic status has been linked to suicidal ideation [ 51 , 55 ]. More research is necessary to identify whether the findings are due to Bangladeshi culture, student samples, the COVID-19 pandemic, or other factors. The findings revealed that respondents who lived with family were less chance of experiencing mental health problems and suicidal ideation. Our findings contradict previous research, which found that HCWs living with family members experienced higher mental health problems [ 56 ]. Living alone is generally considered a risk factor for suicide [ 57 ], but research findings are mixed among middle-aged and older adults. Despite negative findings [ 58 ], living with family or others would protect against suicidal behavior [ 59 ] and suicide death [ 60 ]. However, further research might be required in this area to confirm this finding, as the association might vary throughout the epidemic in the country. The current study found that medical technicians had less chance of experiencing mental health problems, suicidal ideation, and suicide plans. This finding contradicts the previous study performed in China, which demonstrated that medical technology trainees reported a higher burden of mental health problems during the coronavirus outbreak [ 61 ]. Our findings also contradicted previous research that found Malaysian HCWs (including medical technicians) had a higher rate of suicidal ideation during the first stages of the coronavirus outbreak when compared to pre-pandemic data [ 58 ]. These contradictory findings could be because less-educated medical technicians in Bangladesh had fewer responsibilities and leadership roles, resulting in less exposure to potentially stressful situations. Therefore, they had a lower risk of mental health problems, suicidal ideation, and suicide plans. The results of our study suggest that individuals employed in frontline roles exhibited an elevated likelihood of encountering mental health issues, including suicidal thoughts, intentions, and actual attempts. Our findings are unsurprising because the literature has shown that frontline workers had higher rates of mental health problems [ 59 , 60 ]. According to a recent study conducted in Wuhan, China, frontline workers experienced the most severe mental health problems in these working conditions [ 62 ]. Moreover, a recent systematic review by Sanghera et al. [ 63 ] also reported similar findings. However, a national online cross-sectional study conducted by Shi et al. [ 64 ] in China during the COVID-19 pandemic revealed that participating in frontline work was a significantly higher chance of experiencing suicidal ideation, which is also in line with our results. Appropriate strategies and intervention measures should be implemented to reduce the risk of mental health problems and suicidality among these frontline workers. The findings revealed that HCWs with less than five years of job experience had more chance to experience mental health problems and less chance of experiencing suicidal ideation. This finding is supported by a similar study conducted in Bangladesh, which reported that HCWs who had worked for less than five years were at a higher risk of developing mental health problems [ 12 ]. However, our findings contradicted by Sahimi et al. [ 43 ], who claimed that during the first phases of the coronavirus outbreak, a study of Malaysian HCWs found that more extended service (over ten years) seemed to protect against suicidal ideation. Another study conducted in England and Wales discovered that seniority among physicians was not significantly related to suicide [ 65 ]. These findings could be explained because our study was conducted one year after the COVID-19 pandemic. HCWs had adapted to their new everyday lives. Our study showed that HCWs who exercised daily were less likely to experience mental health problems and suicidal ideation. Our results matched those of recent Bangladeshi studies, which found that HCWs who exercised were less likely to endorse mental health problems [ 7 ]. Similar results were found in other Bangladeshi studies [ 66 , 67 ]. Furthermore, our findings also support those of Tasnim et al. [ 47 ], who discovered that regular physical activity protects against suicidal ideation. The present study also demonstrated that respondents with comorbidities and smokers had a considerably higher risk of suicidal ideation, suicide plans, and suicide attempts. The aforementioned findings are supported by a recent study conducted in Bangladesh, wherein a positive association was observed between comorbidity and less physical activity, and an increased susceptibility to suicidality [ 41 ]. In other studies conducted in the same country, cigarette smokers were found to be more likely to have suicidal ideation [ 40 , 47 ]. Given that comorbidities and cigarette smoking are likely to worsen due to COVID-19 infection [ 40 , 68 ], people with more comorbidities and cigarette smoking may have more negative psychological reactions than those who don't. The study has several notable strengths: The initial nationwide multicenter study conducted in Bangladesh aimed to assess the mental health status and prevalence of suicidality among HCWs following one year of the COVID-19 epidemic. Second, the results will help better understand mental health status and suicidality during pandemics, identify at-risk groups and inspire specialized prevention initiatives. Third, the present study encompassed a substantial sample size and incorporated a diverse range of HCWs, hence facilitating the derivation of significant conclusions. Fourth, the results will help policymakers develop effective policies for enhancing mental health strategies and preventing suicidality across Asia and the rest of the world. Finally, the findings can be a useful guide for both government and non-government authorities in developing plans and actions to promote sound mental health and suicide prevention during the COVID-19 pandemic and in the future. Similar to previous academic investigations, this particular study also exhibits a number of shortcomings. First, mental health issues and tendencies towards suicide were assessed utilizing a self-report instrument and an internet-based questionnaire. Subsequent investigations ought to incorporate clinical interviews or qualitative studies in order to obtain a more comprehensive understanding of the issue at hand. Second, causation could not be established due to the cross-sectional design of the investigation. Therefore, it is recommended that longitudinal studies be undertaken in order to address this restriction. Third, the study employed snowball sampling, which led to the presence of selection biases and compromised the representativeness of the sample. Fourth, the assessment of the participation rate is rendered impossible due to the lack of clarity regarding the number of subjects who were provided with the survey link. Finally, the present study did not account for potential confounding variables, including but not limited to the participants' prior psychological history, sleep patterns, professional contentment, and personal or familial suicide history. Conclusion This study represents the inaugural investigation in Bangladesh that assesses the mental health condition and propensity for suicide among Bangladeshi HCWs subsequent to one year of the COVID-19 pandemic. The present study discovered that HCWs from Bangladesh encountered notable mental health issues and had tendencies towards suicide thoughts following one year of the COVID-19 pandemic. Our study proposes the implementation of effective techniques, timely provision of psychological support, and necessary treatments to address the mental health issues and suicidal tendencies among HCWs, based on the identified factors. Abbreviations COVID-19 Coronavirus disease 2019 HCWs Healthcare workers GHQ General Health Questionnaire SARS Severe acute respiratory syndrome MERS Middle East respiratory syndrome COR Crude odds ratio AOR Adjusted odds ratio CI Confidence interval Declarations Ethics approval and consent to participate The studies involving human participants were reviewed and approved by the Institutional Ethical Review Board of the Holy Family Red Crescent Medical College & Hospital, Dhaka, Bangladesh (Approval No: IERB/36). The participants provided their online informed consent to participate in this study. Consent for publication Not applicable. Availability of data and materials The datasets generated during and analyzed during the current study are available from the corresponding author on reasonable request. Competing interests The authors declare no competing interests. Funding No funding was received for this study from any source. Authors' contributions AM: conceptualization, methodology, formal analysis, writing—original draft, writing—review, and editing. AM, PS, and MM: data collection. All authors provided feedback on earlier drafts of the manuscript. The final manuscript was read and approved by all authors. Acknowledgements The authors thank all respondents for their time and excellent cooperation in the survey. Authors' information Md. Dhedharul Alam: Department of Psychology, Jagannath University, Dhaka-1100, Bangladesh. 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Factors Participants, No. (%) Overall 2047 (100.0) Gender Male 1090 (53.2) Female 957 (46.8) Age (years) 18-29 828 (40.4) 30-39 614 (30.0) 40-49 410 (20.0) ≥50 195 (9.5) Current residence Urban 1490 (72.8) Rural 557 (27.2) Educational status Bachelor (MBBS) or lower degree 626 (30.6) Post-graduate degree 1025 (50.1) Doctoral degree 388 (19.0) Other 8 (0.4) Marital status Single 610 (29.8) Married 1232 (60.2) Divorced/Separated/Widowed 205 (10.0) Socioeconomic status Lower class 594 (29.0) Middle class 1159 (56.6) Upper class 294 (14.4) Living with family Yes 1264 (61.7) Table 1 Socio-demographic characteristics of the study participants (continued). Factors Participants, No. (%) No 783 (38.3) Having children Yes 1054 (51.5) No 993 (48.5) Profession Doctor 675 (33.0) Nurse 162 (7.9) Medical technician 251 (12.3) Hospital workers 311 (15.2) Other 648 (31.7) Types of jobs Frontline 1130 (55.2) Second-line 917 (44.8) Job titles Senior 313 (15.3) Intermediate 476 (23.3) Junior 880 (43.0) New 367 (17.9) Other 11 (0.5) Job experiences (years) ≤5 1005 (49.1) 6-10 388 (19.0) 11-19 426 (20.8) ≥20 228 (11.1) Physical exercise Yes 783 (38.3) No 1264 (61.7) Table 1 Socio-demographic characteristics of the study participants (continued). Factors Participants, No. (%) Comorbidity status Yes 657 (32.1) No 1390 (67.9) Smoking habit Yes 637 (31.1) No 1410 (68.9) Providing direct service to infected patients Yes 1143 (55.8) No 904 (44.2) Personal COVID-19 infection Yes 700 (34.2) No 1347 (65.8) Family and friends COVID-19 infection Yes 914 (44.7) No 1133 (55.3) Family and friends COVID-19 death Yes 585 (28.6) No 1462 (71.4) Table 2 Prevalence and distribution of all independent variables and association with mental health problems, suicidal ideation, suicide plans, and suicide attempts. Variables Mental health problems Suicidal ideation Suicidal plan Suicide attempt Participants No. (%) Participants No. (%) Participants No. (%) Participants No. (%) Yes No P value Yes No P value Yes No P value Yes No P value Overall 791 (38.6) 1256 (61.4) 79 (3.9) 1968 (96.1) 49 (2.4) 1998 (97.6) 23 (1.1) 2024 (98.9) Gender Male 427 (54.0) 663 (52.8) 0.59 41 (51.9) 1049 (53.3) 0.80 27 (55.1) 1063 (53.2) 0.79 13 (56.5) 1077 (53.2) 0.75 Female 364 (46.0) 593 (47.2) 38 (48.1) 919 (46.7) 22 (44.9) 935 (46.8) 10 (43.5) 947 (46.8) Age (years) 18-29 236 (29.8) 592 (47.1) <0.01 46 (58.2) 782 (39.7) <0.01 26 (53.1) 802 (40.1) 0.22 11 (47.8) 817 (40.4) 0.82 30-39 258 (32.6) 356 (28.3) 23 (29.1) 591 (30.0) 14 (28.6) 600 (30.0) 7 (30.4) 607 (30.0) 40-49 184 (23.3) 226 (18.0) 5 (6.3) 405 (20.6) 7 (14.3) 403 (20.2) 3 (13.0) 407 (20.1) ≥50 113 (14.3) 82 (6.5) 5 (6.3) 190 (9.7) 2 (4.1) 193 (9.7) 2 (8.7) 193 (9.5) Current residence Urban 498 (63.0) 992 (79.0) <0.01 59 (74.7) 1431 (72.7) 0.70 36 (73.5) 1454 (72.8) 0.91 14 (60.9) 1476 (72.9) 0.19 Rural 293 (37.0) 264 (21.0) 20 (25.3) 537 (27.3) 13 (26.5) 544 (27.2) 9 (39.1) 548 (27.1) Educational status Bachelor (MBBS) or lower degree 167 (21.1) 459 (36.5) <0.01 25 (31.6) 601 (30.5) 0.18 18 (36.7) 608 (30.4) <0.05 10 (43.5) 616 (30.4) 0.26 Post-graduate degree 420 (53.1) 605 (48.2) 46 (58.2) 979 (49.7) 27 (55.1) 998 (49.9) 12 (52.2) 1013 (50.0) Table 2 Prevalence and distribution of all independent variables and association with mental health problems, suicidal ideation, suicide plans, and suicide attempts (continued). Variables Mental health problems Suicidal ideation Suicidal plan Suicide attempt Participants No. (%) Participants No. (%) Participants No. (%) Participants No. (%) Yes No P value Yes No P value Yes No P value Yes No P value Doctoral degree 198 (25.0) 190 (15.1) 8 (10.1) 380 (19.3) 3 (6.1) 385 (19.3) 1 (4.3) 387 (19.1) Other 6 (0.8) 2 (0.2) - 8 (0.4) 1 (2.0) 7 (0.4) - 8 (0.4) Marital status Single 158 (20.0) 452 (36.0) <0.01 24 (30.4) 586 (29.8) 0.94 20 (40.8) 590 (29.5) 0.19 10 (43.5) 600 (29.6) 0.35 Married 539 (68.1) 693 (55.2) 48 (60.8) 1184 (60.2) 26 (53.1) 1206 (60.4) 11 (47.8) 1221 (60.3) Divorced/Separated/Widowed 94 (11.9) 111 (8.8) 7 (8.9) 198 (10.1) 3 (6.1) 202 (10.1) 2 (8.7) 203 (10.0) Socio-economic status Lower class 182 (23.0) 412 (32.8) <0.01 17 (21.5) 577 (29.3) 0.20 20 (40.8) 574 (28.7) <0.01 7 (30.4) 587 (29.0) 0.73 Middle class 457 (57.8) 702 (55.9) 30 (38.0) 1129 (57.4) 25 (51.0) 1134 (56.8) 14 (60.9) 1145 (56.6) Upper class 152 (19.2) 142 (11.3) 32 (40.5) 262 (13.3) 4 (8.2) 290 (14.5) 2 (8.7) 292 (14.4) Living with family Yes 580 (73.3) 684 (54.5) <0.01 63 (79.7) 1201 (61.0) <0.001 31 (63.3) 1233 (61.7) 0.82 17 (73.9) 1247 (61.6) 0.22 No 211 (26.7) 572 (45.5) 16 (20.3) 767 (39.0) 18 (36.7) 765 (38.3) 6 (26.1) 777 (38.4) Having children Yes 481 (60.8) 573 (45.6) <0.01 31 (39.2) 1023 (52.0) <0.05 21 (42.9) 1033 (51.7) 0.22 9 (39.1) 1045 (51.6) 0.23 No 310 (39.2) 683 (54.4) 48 (60.8) 945 (48.0) 28 (57.1) 965 (48.3) 14 (60.9) 979 (48.4) Table 2 Prevalence and distribution of all independent variables and association with mental health problems, suicidal ideation, suicide plans, and suicide attempts (continued). Variables Mental health problems Suicidal ideation Suicidal plan Suicide attempt Participants No. (%) Participants No. (%) Participants No. (%) Participants No. (%) Yes No P value Yes No P value Yes No P value Yes No P value Profession Doctor 286 (36.2) 389 (31.0) <0.001 27 (34.2) 648 (32.9) 0.06 17 (34.7) 658 (32.9) 0.25 8 (34.8) 667 (33.0) 0.28 Nurse 67 (8.5) 95 (7.6) 11 (13.9) 151 (7.7) 2 (4.1) 160 (8.0) 2 (8.7) 160 (7.9) Medical technician 100 (12.6) 151 (12.0) 12 (15.2) 239 (12.1) 10 (20.4) 241 (12.1) 6 (26.1) 245 (12.1) Hospital workers 132 (16.7) 179 (14.3) 14 (17.7) 297 (15.1) 9 (18.4) 302 (15.1) 2 (8.7) 309 (15.3) Other 206 (26.0) 442 (35.2) 15 (19.0) 633 (32.2) 11 (22.4) 637 (31.9) 5 (21.7) 643 (31.8) Types of jobs Frontline 472 (59.7) 644 (51.3) 0.00 44 (55.7) 1086 (55.2) 0.92 35 (71.4) 1095 (54.8) 0.02 15 (65.2) 1115 (55.1) 0.33 Second-line 319 (40.3) 612 (48.7) 35 (44.3) 882 (44.8) 14 (28.6) 903 (45.2) 8 (34.8) 909 (44.9) Job titles Senior 191 (24.1) 122 (9.7) 0.00 7 (8.9) 306 (15.5) 0.08 3 (6.1) 310 (15.5) 0.06 2 (8.7) 311 (15.4) 0.40 Intermediate 207 (26.2) 269 (21.4) 12 (15.2) 464 (23.6) 8 (16.3) 468 (23.4) 3 (13.0) 473 (23.4) Junior 263 (33.2) 617 (49.1) 41 (51.9) 839 (42.6) 23 (46.9) 857 (42.9) 11 (47.8) 869 (42.9) New 120 (15.2) 247 (19.7) 19 (24.1) 348 (17.7) 15 (30.6) 352 (17.6) 7 (30.4) 360 (17.8) Other 10 (1.3) 1 (0.1) - 11 (0.6) - 11 (0.6) - 11 (0.5) Job experiences (years) Table 2 Prevalence and distribution of all independent variables and association with mental health problems, suicidal ideation, suicide plans, and suicide attempts (continued). Variables Mental health problems Suicidal ideation Suicidal plan Suicide attempt Participants No. (%) Participants No. (%) Participants No. (%) Participants No. (%) Yes No P value Yes No P value Yes No P value Yes No P value ≤5 286 (36.2) 719 (57.2) <0.01 53 (67.1) 952 (48.4) <0.001 35 (71.4) 970 (48.5) <0.01 15 (65.2) 990 (48.9) <0.01 6-10 173 (21.9) 215 (17.1) 16 (20.3) 372 (18.9) 5 (10.2) 383 (19.2) 3 (13.0) 385 (19.0) 11-19 206 (26.0) 220 (17.5) 5 (6.3) 421 (21.4) 6 (12.2) 420 (21.0) 3 (13.0) 423 (20.9) ≥20 126 (15.9) 102 (8.1) 5 (6.3) 223 (11.3) 3 (6.1) 225 (11.3) 2 (8.7) 226 (11.2) Physical exercise Yes 370 (46.8) 413 (32.9) <0.01 22 (27.8) 761 (38.7) <0.05 16 (32.7) 767 (38.4) 0.41 7 (30.4) 776 (38.3) 0.43 No 421 (53.2) 843 (67.1) 57 (72.2) 1207 (61.3) 33 (67.3) 1231 (61.6) 16 (69.6) 1248 (61.7) Comorbidity status Yes 242 (30.6) 415 (33.0) 0.24 43 (54.4) 614 (31.2) <0.01 29 (59.2) 628 (31.4) <0.01 14 (60.9) 643 (31.8) <0.01 No 549 (69.4) 841 (67.0) 36 (45.6) 1354 (68.8) 20 (40.8) 1370 (68.6) 9 (39.1) 1381 (68.2) Smoking habit Yes 230 (29.1) 407 (32.4) 0.11 49 (62.0) 588 (29.9) <0.01 31 (63.3) 606 (30.3) <0.01 16 (69.6) 621 (30.7) <0.01 No 561 (70.9) 849 (67.6) 30 (38.0) 1380 (70.1) 18 (36.7) 1392 (69.7) 7 (30.4) 1403 (69.3) Providing direct service to infected patients Yes 455 (57.5) 688 (54.8) 0.22 31 (39.2) 1112 (56.5) <0.01 31 (63.3) 1112 (55.7) 0.28 13 (56.5) 1130 (55.8) 0.94 No 336 (42.5) 568 (45.2) 48 (60.8) 856 (43.5) 18 (36.7) 886 (44.3) 10 (43.5) 894 (44.2) Personal COVID-19 infection Table 2 Prevalence and distribution of all independent variables and association with mental health problems, suicidal ideation, suicide plans, and suicide attempts (continued). Variables Mental health problems Suicidal ideation Suicidal plan Suicide attempt Participants No. (%) Participants No. (%) Participants No. (%) Participants No. (%) Yes No P value Yes No P value Yes No P value Yes No P value Yes 222 (28.1) 478 (38.1) <0.01 26 (32.9) 674 (34.2) 0.80 18 (36.7) 682 (34.1) 0.70 10 (43.5) 690 (34.1) 0.34 No 569 (71.9) 778 (61.9) 53 (67.1) 1294 (65.8) 31 (63.3) 1316 (65.9) 13 (56.5) 1334 (65.9) Family and friend COVID-19 infection Yes 387 (48.9) 527 (42.0) <0.01 38 (48.1) 876 (44.5) 0.52 24 (49.0) 890 (44.5) 0.53 11 (47.8) 903 (44.6) 0.75 No 404 (51.1) 729 (58.0) 41 (51.9) 1092 (55.5) 25 (51.0) 1108 (55.5) 12 (52.2) 1121 (55.4) Family and friend COVID-19 death Yes 231 (29.2) 354 (28.2) 0.61 27 (34.2) 558 (28.4) 0.26 14 (28.6) 571 (28.6) 0.99 6 (26.1) 579 (28.6) 0.79 No 560 (70.8) 902 (71.8) 52 (65.8) 1410 (71.6) 35 (71.4) 1427 (71.4) 17 (73.9) 1445 (71.4) Table 3 Factors associated with mental health problems, suicidal ideation, suicide plans, and suicide attempts of the study participants. Variables Mental health problems Suicidal ideation Suicide plan Suicide attempt COR (95% CI) AOR (95% CI) COR (95% CI) AOR (95% CI) COR (95% CI) AOR (95% CI) COR (95% CI) AOR (95% CI) Age (years) 18-29 3.45 (2.50-4.76) 0.73 (0.31-1.71) 0.44 (0.17-1.14) 0.46 (0.02-7.54) 0.32 (0.07-1.35) 1.56 (0.06-38.4) 0.77 (0.16-3.50) 14.0 (0.12-163.2) 30-39 1.90** (1.37-2.63) 0.63 (0.30-1.32) 0.67 (0.25-1.80) 1.43 (0.10-19.7) 0.44 (0.10-1.97) 1.34 (0.06-26.4) 0.89 (0.18-4.36) 4.45 (0.05-366.6) 40-49 1.69** (1.19-2.38) 1.16 (0.64-2.08) 2.13 (0.61-7.45) 2.07 (0.21-19.8) 0.59 (0.12-2.89) 0.57 (0.05-5.64) 1.40 (0.23-8.48) 1.32 (0.09-19.0) ≥50 Reference Reference Reference Reference Reference Reference Reference Reference Current residence Urban 2.21** (1.81-2.69) 1.79** (1.43-2.23) 1.90* (1.53-2.19) 1.74* (1.21-1.96) 0.96 (0.50-1.83) 0.87 (0.43-1.76) 1.73 (0.74-4.02) 1.43 (0.56-3.64) Rural Reference Reference Reference Reference Reference Reference Reference Reference Educational status Bachelor (MBBS) or lower degree 8.24** (1.64-41.2) 5.67* (1.49-32.1) _ _ 4.82 (0.56-41.3) 12.0 (0.87-166.6) _ _ Post-graduate degree 4.32 (0.86-21.5) 3.21 (0.57-17.9) _ _ 5.28 (0.62-44.4) 6.84 (0.52-89.0) _ _ Doctoral degree 2.87 (0.57-14.4) 3.26 (0.57-18.4) _ _ 18.3** (1.69-198.7) 20.1* (1.14-354.8) _ _ Other Reference Reference _ _ Reference Reference _ _ Marital status Single 2.42 (1.74-3.36) 1.58* (1.15-1.80) 0.86 (0.36-2.03) 6.10** (1.45-25.5) 0.43 (0.12-1.49) 0.86 (0.15-4.93) 0.59 (0.12-2.72) 0.91 (0.07-10.8) Married 1.08 (0.80-1.46) 0.81 (0.56-1.18) 0.87 (0.38-1.95) 3.15 (0.92-10.7) 0.68 (0.20-2.29) 1.12 (0.26-4.68) 1.09 (0.24-4.97) 1.73 (0.26-11.4) Divorced/Separated/Widowed Reference Reference Reference Reference Reference Reference Reference Reference Table 3 Factors associated with mental health problems, suicidal ideation, suicide plans, and suicide attempts of the study participants (continued). Variables Mental health problems Suicidal ideation Suicide plan Suicide attempt COR (95% CI) AOR (95% CI) COR (95% CI) AOR (95% CI) COR (95% CI) AOR (95% CI) COR (95% CI) AOR (95% CI) Socio-economic status Lower class 2.42** (1.81-3.23) 1.57** (1.11-2.21) 4.14** (2.26-7.60) 6.43** (3.08-13.4) 0.39 (0.13-1.16) 0.44 (0.13-1.43) 0.57 (0.11-2.78) 0.48 (0.08-2.63) Middle class 1.64** (1.27-2.12) 1.44** (1.07-1.92) 4.59** (2.74-7.70) 5.44** (2.92-10.1) 0.62 (0.21-1.81) 0.60 (0.20-1.84) 0.56 (0.12-2.47) 0.45 (0.09-2.14) Upper class Reference Reference Reference Reference Reference Reference Reference Reference Living with family Yes 0.43** (0.35-0.52) 0.64** (0.50-0.82) 0.39** (0.22-0.69) 0.31** (0.16-0.58) 0.93 (0.52-1.68) 0.73 (0.36-1.47) 0.56 (0.22-1.44) 0.41 (0.14-1.21) No Reference Reference Reference Reference Reference Reference Reference Reference Having children Yes 0.54** (0.45-0.77) 0.31** (0.11-0.87) 1.67* (1.05-2.65) 0.47 (0.18-1.18) 1.42 (0.80-2.53) 0.41 (0.13-1.25) 1.66 (0.71-3.85) 0.95 (0.20-4.49) No Reference Reference Reference Reference Reference Reference Reference Reference Profession Doctor 0.63** (0.50-0.79) 0.57** (0.43-0.75) 0.56 (0.30-1.07) 0.39 (0.18-0.83) 0.66 (0.31-1.43) 0.40 (0.16-0.95) 0.64 (0.21-1.99) 0.51 (0.14-1.79) Nurse 0.66* (0.46-0.94) 0.50** (0.33-0.75) 0.32** (0.14-0.72) 0.25 (0.09-0.66) 1.38 (0.30-6.29) 1.12 (0.22-5.62) 0.62 (0.12-3.23) 0.72 (0.11-4.68) Medical technician 0.70* (0.52-0.95) 0.53** (0.38-0.75) 0.47* (0.21-1.02) 0.46* (0.19-0.92) 0.41* (0.17-0.99) 0.30** (0.11-0.78) 0.31 (0.09-1.05) 0.35 (0.09-1.34) Hospital workers 0.63** (0.47-0.83) 0.48** (0.35-0.66) 0.50 (0.24-1.05) 0.42* (0.18-0.99) 0.57 (0.23-1.41) 0.53 (0.20-1.40) 1.20 (0.23-6.22) 1.52 (0.27-8.63) Other Reference Reference Reference Reference Reference Reference Reference Reference Types of jobs Frontline 0.66** (0.55-0.79) 1.47** (1.16-1.65) 0.97 (0.62-1.54) 1.27** (1.08-1.59) 0.48* (0.25-0.90) 1.29* (1.06-1.74) 0.65 (0.27-1.55) 1.37* (1.09-1.82) Second-line Reference Reference Reference Reference Reference Reference Reference Reference Table 3 Factors associated with mental health problems, suicidal ideation, suicide plans, and suicide attempts of the study participants (continued). Variables Mental health problems Suicidal ideation Suicide plan Suicide attempt COR (95% CI) AOR (95% CI) COR (95% CI) AOR (95% CI) COR (95% CI) AOR (95% CI) COR (95% CI) AOR (95% CI) Job titles Senior 6.38 (0.80-50.5) 4.95 (0.60-40.8) _ _ _ _ _ _ Intermediate 12.9** (1.65-102.3) 12.6** (1.53-104.6) _ _ _ _ _ _ Junior 23.4** (2.98-184.1) 17.3** (2.05-146.8) _ _ _ _ _ _ New 20.5** (2.60-162.6) 9.85* (1.14-84.8) _ _ _ _ _ _ Other Reference Reference _ _ _ _ _ _ Job experiences (years) ≤5 3.10** (2.31-4.17) 1.84** (1.07-2.86) 0.40* (0.15-0.95) 0.22* (0.05-0.86) 0.37 (0.11-1.21) 0.92 (0.04-18.3) 0.58 (0.13-2.57) 2.42 (0.01-362.2) 6-10 1.53** (1.10-2.13) 0.78 (0.36-1.69) 0.52 (0.18-1.44) 0.16 (0.01-2.37) 1.02 (0.24-4.31) 3.03 (0.16-56.7) 1.13 (0.18-6.84) 3.84 (0.02-510.5) 11-19 1.31 (0.95-1.82) 0.61 (0.33-1.10) 1.88 (0.54-6.59) 0.83 (0.08-8.63) 0.93 (0.23-3.76) 2.97 (0.38-23.0) 1.24 (0.20-7.52) 2.37 (0.15-35.5) ≥20 Reference Reference Reference Reference Reference Reference Reference Reference Physical exercise Yes 0.55** (0.46-0.79) 0.80** (0.63-1.00) 0.63* (0.29-0.91) 0.74** (0.12-0.97) 1.28 (0.70-2.35) 1.25 (0.62-2.53) 1.42 (0.58-3.47) 1.68 (0.62-4.59) No Reference Reference Reference Reference Reference Reference Reference Reference Comorbidity status Yes 1.11 (0.92-1.35) 0.86 (0.50-1.48) 1.38** (1.04-1.59) 3.22* (1.19-8.69) 1.31** (1.06-1.56) 2.55* (1.60-10.8) 1.29** (1.03-1.69) 3.63* (1.61-13.7) No Reference Reference Reference Reference Reference Reference Reference Reference Smoking habit Yes 1.16 (0.96-1.41) 1.12 (0.64-1.94) 0.26** (0.16-0.41) 1.21** (1.04-1.56) 1.25** (1.08-1.45) 2.10** (1.41-2.46) 0.19** (0.07-0.47) 1.56** (1.02-1.88) Table 3 Factors associated with mental health problems, suicidal ideation, suicide plans, and suicide attempts of the study participants (continued). Variables Mental health problems Suicidal ideation Suicide plan Suicide attempt COR (95% CI) AOR (95% CI) COR (95% CI) AOR (95% CI) COR (95% CI) AOR (95% CI) COR (95% CI) AOR (95% CI) No Reference Reference Reference Reference Reference Reference Reference Reference Providing direct service to infected patients Yes 0.89 (0.74-1.07) 1.32 (0.94-1.85) 2.01** (1.26-3.18) 4.25** (2.01-8.99) 0.72 (0.40-1.31) 1.29 (0.52-3.20) 0.97 (0.42-2.22) 1.79 (0.51-6.24) No Reference Reference Reference Reference Reference Reference Reference Reference Personal COVID-19 infection Yes 1.57** (1.29-1.90) 1.66** (1.34-2.08) 1.06 (0.65-1.71) 0.91 (0.53-1.59) 0.89 (0.49-1.60) 1.00 (0.52-1.92) 0.67 (0.29-1.54) 0.70 (0.28-1.76) No Reference Reference Reference Reference Reference Reference Reference Reference Family and friend COVID-19 infection Yes 0.75** (0.63-0.90) 0.63** (0.51-0.78) 0.86 (0.55-1.35) 0.96 (0.55-1.65) 0.83 (0.47-1.47) 0.72 (0.37-1.38) 0.87 (0.38-2.00) 0.74 (0.28-1.93) No Reference Reference Reference Reference Reference Reference Reference Reference *P ≤0.05; **P ≤ 0.01. COR, Crude odds ratio; AOR, Adjusted odds ratio; CI, Confidence interval. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3857345","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":267455346,"identity":"9229adde-d7b1-4dd0-830f-9a2f1710a4ac","order_by":0,"name":"Md. Dhedharul Alam","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA+UlEQVRIiWNgGAWjYDCCGwwM0iCaj4G5gYGhAshiBjGI0cLGwAhUeQakhZEULYxtICYBLXy3mw/eLqi5l9jGfrDx0815tdH87UAtPyq24dQieedYsvWMY8WJbTyJzdK5247nzjjM2MDYc+Y2Ti0GN3LMpHnYEhLbGBIbgFqO5TYAtTAztuHTkv9NmucfUAv/w+bfuXOO5c4nrCWHTZq3DahFIrFNOrehJncDIS2SN9KMrXn7EozbJB62WeccO5C7EajlID6/8N1Ifnib51uCbD9/8uHbOTV1ufPOHz744EcFbi3o4DCYPEC0eiCoI0XxKBgFo2AUjBAAAF+UX3wPxiLGAAAAAElFTkSuQmCC","orcid":"","institution":"Jagannath University","correspondingAuthor":true,"prefix":"","firstName":"Md.","middleName":"Dhedharul","lastName":"Alam","suffix":""},{"id":267455347,"identity":"0bb3f5a6-7c5c-4e63-988f-ce311127844b","order_by":1,"name":"Sujan Kumer Paul","email":"","orcid":"","institution":"Holy Family Red Crescent Medical College \u0026 Hospital, Dhaka, Bangladesh","correspondingAuthor":false,"prefix":"","firstName":"Sujan","middleName":"Kumer","lastName":"Paul","suffix":""},{"id":267455348,"identity":"f6321afb-8ff3-4d4b-a112-386dfb4eeef7","order_by":2,"name":"Mahmuda Momi","email":"","orcid":"","institution":"City Dental College \u0026 Hospital","correspondingAuthor":false,"prefix":"","firstName":"Mahmuda","middleName":"","lastName":"Momi","suffix":""}],"badges":[],"createdAt":"2024-01-12 14:59:17","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3857345/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3857345/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":49823822,"identity":"f178701f-d29e-43d3-86ef-cefc3f1d79e0","added_by":"auto","created_at":"2024-01-18 15:31:43","extension":"jpeg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":162248,"visible":true,"origin":"","legend":"\u003cp\u003ePrevalence of mental health problems, suicidal ideation, suicide plans, and suicide attempts among Bangladeshi health care workers after a first year of the COVID-19 pandemic.\u003c/p\u003e","description":"","filename":"floatimage1.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-3857345/v1/bdba985b79ff29a48f5e3668.jpeg"},{"id":56511003,"identity":"209a62b2-56d8-4e64-bf48-ef3993f71c3a","added_by":"auto","created_at":"2024-05-15 06:36:07","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2614073,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3857345/v1/d6cb23fc-df43-4349-8614-b17a30b72aab.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Mental Health Status and Suicidality Among Bangladeshi Health Care Workers: A Year After the COVID-19 Pandemic","fulltext":[{"header":"Introduction","content":"\u003cp\u003eThe COVID-19 pandemic was first identified in the city of Wuhan, located in Hubei Province, China, in the year 2019. Since its onset, the virus has affected more than 225 nations and about 220\u0026nbsp;million individuals worldwide. Tragically, the sickness has resulted in the loss of approximately 4.4\u0026nbsp;million lives (as of September 5, 2021) [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. Healthcare workers (HCWs) exhibit a higher susceptibility to COVID-19 compared to the general population, especially those who come into contact with individuals suspected or confirmed to have the virus. This heightened vulnerability stems from various factors, including an increased risk of infection, inadequate protection and limited experience in managing the disease, excessive work demands, significant lifestyle modifications, mandatory quarantine measures, and reduced social support [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. These characteristics contribute to an increased susceptibility of mental health issues among HCWs, encompassing conditions such as depression, anxiety, insomnia, dread, and suicide. These challenges can significantly impede job productivity and have enduring implications for overall well-being [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e, \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. A meta-analysis of the effects of Severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), and COVID-19 on HCWs' physical and mental health found that general health concerns (62.5%), depression (26.3%), anxiety (29.0%), post-traumatic stress disorder (20.7%), insomnia (37.9%), psychological distress (37.8%), fear (43.7%), burnout (34.4%), somatization (16.1%), and stigmatization feelings (14.0%) [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe study was conducted in Bangladesh, a South Asian nation that has had substantial effects on its healthcare system as a result of the COVID-19 pandemic [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. The initial instance of COVID-19 transmission in Bangladesh was officially documented on March 8, 2020 [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. As of September 5, 2021, the nation reported a total of 1.5\u0026nbsp;million confirmed COVID-19 infections and 26,563 fatalities [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. The initial fatality of a medical practitioner in Bangladesh was documented on April 15, 2020, followed by the demise of a nurse on May 30, 2020. On September 7, 2021, a total of 9,407 healthcare providers were reported to have contracted the virus, resulting in 187 fatalities [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. During the early stages of the COVID-19 outbreak in Bangladesh, Hossain et al. [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e] discovered that 55.2, 71.9, and 60.6% of 203 HCWs had depression, anxiety, and fear, respectively. A comprehensive investigation exploring the effects of the COVID-19 pandemic on HCWs in Bangladesh revealed that the rates of depression, anxiety, sleep disturbances, and feelings of isolation among HCWs were 44, 78, 89, and 87%, respectively [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eSuicidality is an umbrella term that encompasses a variety of suicidal self-injurious actions, including suicidal ideation, suicide plans, and suicide attempts, with suicide referring to the end of the process [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. Suicide is a significant public health issue that affects people worldwide. More than 703,000 people commit suicide yearly, with many more attempting it. Approximately 77% of all suicides occur in low- and middle-income countries, such as Bangladesh [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e], where the suicide rate was 9.2% globally and 3.7% per 100,000 people in Bangladesh [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. Suicide is a significant cause of premature death among physicians [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. Compared to the general population and other occupational groups, HCWs have a higher risk of suicide [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. According to the evidence, suicide rates tend to rise during and following pandemics [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. For example, during the Russian influenza outbreak in the United Kingdom in 1889\u0026ndash;1894, the 1918\u0026ndash;1919 Spanish influenza epidemic in the United States, and the 2002\u0026ndash;2003 SARS outbreak in Hong Kong, increased suicide rates were recorded [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e, \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eHowever, nine COVID-19-related suicide cases were reported in Bangladesh during the first stages of the outbreak, owing to fear, economic distress, and unemployment-related stressors [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e, \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. Since January 2020, 29 suicides have been recorded in Pakistani media. Sixteen suicidality cases were linked to COVID-19 epidemics [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. A recent case study based on press reports shows 26 global HCWs COVID-19-related suicide cases in various countries [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e]. Infection with COVID-19, quarantine, job-related pressure, fear of coronavirus infection or transmission, observing the deaths of coronavirus patients, a lack of self-control, personal responsibility for being unable to do something about patients, longer work hours, and mental disturbance were the most likely causes for suicide among HCWs during the coronavirus pandemic [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e, \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eHowever, to our knowledge, after more than a year, no study has examined the Bangladeshi HCWs' mental health status and suicidality. Therefore, the present study aimed to investigate the mental health status and suicidality among Bangladeshi HCWs after a year of the COVID-19 pandemic. The research goals were as follows: 1) to investigate the prevalence rates of mental health problems and suicidality (suicidal ideation, suicide plans, and suicide attempts) among Bangladeshi HCWs after a year of the COVID-19 pandemic; 2) to investigate the potential predictive value of several socio-demographic and clinical characteristics in relation to mental health issues, suicidal thoughts, suicide plans, and suicide attempts among HCWs in Bangladesh following one year of the COVID-19 epidemic. The results can be a significant reference for healthcare professionals, government and non-government officials, and those developing mental health policies in Asia and the rest of the world.\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eStudy design\u003c/h2\u003e \u003cp\u003eThe research study received approval from the Institutional Ethical Review Board of Holy Family Red Crescent Medical College \u0026amp; Hospital, situated in Dhaka, Bangladesh (Approval No: IERB/36). Prior to commencing the questionnaire, the participants were required to provide informed consent online. From March 8 to July 2, 2021, a cross-sectional survey was conducted across many centers nationwide using an online platform. The data was collected through the utilization of Google Forms and the Bangla language via an online platform. The survey link was distributed to participants using various electronic communication channels, including email, Facebook, Viber, WhatsApp, Imo, and other social media platforms, by the two research assistants. The individuals were extended an invitation to complete the form and disseminate the link within their respective networks in order to expand the outreach to a larger audience. The snowball method was employed to disseminate the survey link among their professional and social networks. The participants were informed about the voluntary nature of their participation in the study and were encouraged to distribute the survey link to their friends or acquaintances upon its completion. The privacy and confidentiality of all participants' data were guaranteed, along with the provision of information regarding the study's objectives, procedure, and participants' right to request the removal of their data at any point in time. Initially, 2,084 HCWs responded to the survey. Following the removal of incomplete surveys, 2,047 were retained for final analysis. The inclusion criteria were (i) being aged 18 years or over, (ii) being current HCWs, (iii) living in Bangladesh at the time of COVID-19, and (iv) being able to complete the entire survey.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003eParticipants\u003c/h2\u003e \u003cp\u003eThe calculation of the sample size was conducted utilizing the Open Epi program. We assumed that the prevalence of mental health problems during Bangladesh's first year of the COVID-19 pandemic was 50%, as reported in a recent study [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. This proportion of 50% would yield the highest possible variation and sample size. Based on a confidence level of 95%, a power of 80%, and a design effect of 2.5, the determined sample size was 960. To address potential non-response bias, the present investigation augmented the sample size by 10%, resulting in a final necessary sample of 1,056 individuals.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003eMeasurements\u003c/h2\u003e \u003cdiv id=\"Sec6\" class=\"Section3\"\u003e \u003ch2\u003eSocio-demographic information\u003c/h2\u003e \u003cp\u003eThe socio-demographic data of the participants included self-reported information regarding their gender, age, current place of residence, educational attainment, marital status, and socioeconomic status, which was categorized as lower, middle, or higher class. The participants were also inquired regarding their occupation, which included categories such as doctor, nurse, medical technician, hospital worker, or other. Additionally, they were asked to specify the type of job they had, distinguishing between frontline and second-line roles. Furthermore, participants were requested to provide their job titles, which encompassed designations such as senior, intermediate, junior, new, or other. Lastly, participants were queried about their employment experiences, categorized into four groups: those with job experience of \u0026lt;\u0026thinsp;5, 6\u0026ndash;10, 11\u0026ndash;19, or \u0026ge;\u0026thinsp;20 years. Furthermore, \"Yes\" or \"No\" questions about living with family, having children, physical exercise, comorbidity status, smoking habits, providing direct care to infected patients, personal COVID-19 infection, family and friends infected with coronavirus, and death of their family and friends were included in the survey.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003eMental health status\u003c/h2\u003e \u003cp\u003eMental health status was assessed with the Bangla version of the General Health Questionnaire (GHQ-12) [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e]. It has been a popular self-reported assessment of mental health status over the last month. The questionnaire has 12 questions, six positive and six negatives, all of which are graded on a four-point scale: (1) never, (2) rarely, (3) occasionally, and (4) frequently. For a total score of 0 to 12, each item can be assigned a value of \u0026ldquo;0\u0026rdquo; (if option 1 or 2) or \u0026ldquo;1\u0026rdquo; (if options 3 and 4). The overall score of \u0026ge;\u0026thinsp;3 indicated that the person's mental health problems were terrible. Its reliability in the current sample is very good (Cronbach's α value\u0026thinsp;=\u0026thinsp;0.87).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eSuicidality\u003c/h2\u003e \u003cp\u003eSuicidality was assessed using studies conducted before or during COVID-19 [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e, \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e]. The assessment of suicidal ideation involved posing the question: \"Within the last month of the COVID-19 pandemic, have you experienced genuine contemplation of suicide?\" The assessment of suicide plans involved the inquiry: \"Within the past month of the COVID-19 pandemic, have you formulated any specific plans for engaging in suicidal behavior?\" The measurement of suicide attempts was conducted by the utilization of a question that inquired: \"Within the final month of the COVID-19 pandemic, have you made any attempts to commit suicide?\". The response options were \u0026ldquo;yes\u0026rdquo; and \u0026ldquo;no.\u0026rdquo;\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003eStatistical analysis\u003c/h2\u003e \u003cp\u003eAll statistical analyses were performed using SPSS statistical software version 20. For the general characteristics and study measures, descriptive statistics were used. The chi-square test was used to compare differences between respondents with and without mental health problems, suicidal ideation, suicide plans, and suicide attempts in each variable. Furthermore, the study employed binary logistic regression analysis to examine potential factors associated with mental health issues, suicidal thoughts, plans of suicide, and suicide attempts. The Hosmer and Lemeshow goodness of fit test assessed the adequacy of the model's fit. In the univariate analysis, all variables were included, whereas in the subsequent multivariate analysis, only the significant variables from the univariate analysis were included after adjusting for confounding factors such as gender, age, present domicile, and others. The study employed univariate analysis to calculate the crude odds ratio (COR) for a single predictor, and multivariate analysis to calculate the adjusted odds ratio (AOR) for several predictors. The dependent variables in this study encompassed mental health disorders, suicidal ideation, suicide plans, and suicide attempts. The analyses were performed with a confidence level of 95%, and statistical significance was determined by p-values less than 0.05.\u003c/p\u003e \u003c/div\u003e"},{"header":"Results","content":"\u003cp\u003e\u003cstrong\u003eSocio-demographic characteristics\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eOut of the total sample size of 2047 individuals, 53.2% were identified as male, while the remaining 46.8% were identified as female. Most participants were between the ages of 18-29-year-old (40.4%). The majority were residing in urban areas (72.8%), educated up to post-graduate degree level (50.1%), married (60.2%), middle-class socioeconomic status (56.6%), living with family (61.7%), and had children (51.5%). One-third of the participants had a doctor (33.0%). More than half of the participants had frontline workers (55.2%). The majority of the participants were junior employees (43.0%) with less than five years of job experience (49.1%), didn\u0026apos;t engage in physical exercise (61.7%), didn\u0026apos;t have comorbidities (67.9%), were non-smokers (68.9%), and provided direct service to infected patients (55.8%). More than one-third of the participants had been infected with COVID-19 (34.2%), had family members or friends infected with coronavirus (44.7%), and less than one-third of the participants had family members or friends who died from coronavirus (28.6%) (Table 1).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePrevalence and distribution of mental health status and suicidality\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFig. 1 illustrates the prevalence rates of mental health issues, suicidal thoughts, suicide intentions, and suicide attempts among HCWs in Bangladesh following one year since the onset of the COVID-19 pandemic. The prevalence and distribution of mental health conditions and suicidal tendencies. The prevalence rates of mental health problems, suicidal ideation, suicide plans, and suicide attempts were 38.6, 3.9, 2.4, and 1.1%, respectively (Table 2). This study discovered that respondents aged 30-39 had considerably greater rates of mental health problems (32.6 vs 14.3%, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.01), and those aged 18-29 had greater rates of suicidal ideation (58.2% vs 6.3%, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.01). Participants with a post-graduate degree (53.1 vs 0.8%, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.01 and 55.1 vs 2.0%, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.05), a middle-class background (57.8 vs 19.2%, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.01 and 51.0 vs 8.2%, p \u0026lt; 0.01), and frontline workers (59.7 vs 40.3%, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.01 and 71.4 vs 28.6%, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.05) had considerably higher rates of mental health problems and suicide plans. Individuals residing in family households exhibited a considerably higher prevalence of mental health issues and suicide ideation compared to those residing in non-family households (73.3 vs 26.7%, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.01 and 79.7 vs 20.3%, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001). Furthermore, individuals who did not partake in daily physical exercise demonstrated significantly higher rates of mental health problems and suicidal ideation in comparison to those who engaged in daily physical exercise (53.2 vs 46.8%, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.01 and 72.2 vs 27.8%, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.05). Moreover, those with children experienced significantly more mental health problems (60.8 vs. 39.2%, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.01), while those without children experienced significantly more suicidal ideation (60.8 vs. 39.2%, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.05). Furthermore, participants with less than five years of job experience had significantly greater levels of mental health problems (36.2 vs 15.9%, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.01), suicidal ideation (67.1 vs 6.3%, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001), suicide plans (71.4 vs 6.1%, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.01), and suicide attempts (65.2 vs 8.7%, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.01) than those with more than twenty years of work experience. Furthermore, the prevalence rates of suicidal ideation were significantly higher among individuals with comorbidities and a smoking habit compared to those without (54.4 vs 45.6%, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.01 and 62.0 vs 38.0%, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.01). Similarly, the rates of suicide plans (59.2 vs 40.8%, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.01 and 63.3 vs 36.7%, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.01) and suicide attempts (60.9 vs 39.1%, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.01 and 69.6 vs 30.4%, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.01) were significantly higher in the presence of comorbidities and a smoking habit.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFactors associated with mental health status and suicidality\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe variables that shown statistical significance in the univariate logistic regression analysis were then included in the multivariate analysis. After controlling for confounding factors, the multivariate logistic regression analysis (Table 3) showed that participants who lived in urban areas had a lower socioeconomic status and were single had significantly more likely to experience mental health problems and suicidal ideation (e.g., mental health problems among urban areas: AOR: 1.79; 95% CI: 1.43-2.23; suicidal ideation among singles: AOR: 6.10; 95% CI: 1.45-25.5). Individuals who resided with their family had a significantly reduced likelihood of encountering mental health issues (AOR: 0.64; 95% CI: 0.50-0.82) and having thoughts of suicide (AOR: 0.31; 95% CI: 0.16-0.58) compared to those who did not cohabit with their family. Participants who worked as medical technicians were considerably less chance of experiencing mental health problems (AOR: 0.53; 95% CI: 0.38-0.75), suicidal ideation (AOR: 0.46; 95% CI: 0.19-0.92), and suicide plans (AOR: 0.30; 95% CI: 0.11-0.78) than other professions. Moreover, respondents who worked as frontline workers were significantly more likely to suffer from mental health problems (AOR: 1.47; 95% CI: 1.16-1.65), suicidal ideation (AOR: 1.27; 95% CI: 1.08-1.59), suicide plans (AOR: 1.29; 95% CI: 1.06-1.74), and suicide attempts (AOR: 1.37; 95% CI: 1.09-1.82) than second-line workers. Besides, participants with less than five years of job experience had significantly more likely to experience mental health problems (AOR: 1.84; 95% CI: 1.07-2.86) and had less chance of experiencing suicidal ideation (AOR: 0.22; 95% CI: 0.05-0.86) than those with more than 20 years of work experience. Furthermore, those who exercised daily had a considerably lower risk of mental health problems (AOR: 0.80; 95% CI: 0.63-1.00) and suicidal ideation (AOR: 0.74; 95% CI: 0.12-0.97) than those who did not. In addition, respondents with comorbidities and smokers had a considerably higher risk of suicidal ideation (AOR: 3.22; 95% CI: 1.19-8.69 and AOR: 1.21; 95% CI: 1.04-1.56), suicide plans (AOR: 2.55; 95% CI: 1.60-10.8 and AOR: 2.10; 95% CI: 1.41-2.46) and suicide attempts (AOR: 3.63; 95% CI: 1.61-13.7 and AOR: 1.56; 95% CI: 1.02-1.88).\u0026nbsp;\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eIt is the first study to investigate mental health status and suicidality among Bangladeshi HCWs after the first year of the COVID-19 outbreak. In the current study, the prevalence of mental health problems was 38.6%. This finding is similar to recent studies from Bangladesh (39.5%) [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e], China (39.1%) [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e], and Italy (33.5%) [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e]. But, a higher prevalence of mental health problems using the GHQ-12 was reported in China (61.1%) [\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e], and Hong Kong (56.7%) [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e]. However, the prevalence of mental health problems in this study using GHQ-12 was higher than in a study conducted in Canada (29%) [\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e], China (25.1%) [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e], and Italy (21.2%) [\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e]. Moreover, a recent systematic review conducted by Ching et al. [\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e] addresses 148 studies with a total sample of 159,194 healthcare professionals in Asia during COVID-19, which found that the prevalence of mental health problems was 39.7% in Asia and 52.1% in Bangladesh during the COVID-19 pandemic. Another review found that the prevalence rate of mental health problems among HCWs exposed to coronaviruses was 37.8% [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe current investigation revealed that 3.9, 2.4, and 1.1% of the individuals exhibited suicidal ideation, suicide plans, and suicide attempts, respectively. The prevalence rates in this study are lower than in previous Bangladeshi studies. For example, the prevalence rate of suicidal ideation was discovered to be 5% in the first study on suicidal ideation, which was conducted in Bangladesh from April 1 to 10, 2020, among 10,067 people [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e]. Moreover, from April 8 to 25, 2020, a web-based cross-sectional survey of 2,554 general population and 834 healthcare providers in Bangladesh found that 6.1% of the total participants were suicidal behavior [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]. Furthermore, a study of 756 young adults one year after the impact of COVID-19 on their suicidality found that 8.2% of the participants had symptoms of suicidal thoughts [\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e]. However, a recent literature review reported that the prevalence rates of suicidal ideation in Bangladesh range from 5 to 19.0%, which has risen since the pandemic began [\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e]. Moreover, Sahimi et al. [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e] found that 11.1% of Malaysian HCWs reported current suicidal ideation (within the previous two weeks) during the first phase of the coronavirus outbreak and lockdown.\u003c/p\u003e \u003cp\u003eFurthermore, a meta-analysis of 61 studies found that physicians attempted suicide at a rate of 1.0% and had suicidal ideation at up to 17% during non-pandemic periods [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. In another review of 35 eligible studies with 70,368 physicians, Dong et al. [\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e] found that physicians' 1-year prevalence rates of suicidal ideation and suicide attempts were 8.6% and 0.3%, respectively. However, suicidality was greater in this study than in other nations. A study of 6,409 healthcare professionals in Belgium found that thirty-day suicidal ideation, suicide plans, and suicide attempts were reported in 1.5, 1.0, and 0.0% during the COVID-19 pandemic [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. Another study of 5,450 Spanish hospital employees discovered that the prevalence of thirty-day suicidal behavior was 8.4% during the first wave of the coronavirus pandemic [\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e]. But those investigations were conducted in the early stages of the coronavirus outbreak and focused on suicidal thoughts and behaviors for thirty days. In addition to the research above findings, the coronavirus outbreak harmed the mental health issues and suicidality of HCWs. Before and after the epidemic, HCWs have a high demand for psychiatric care.\u003c/p\u003e \u003cp\u003eOur study discovered that HCWs who lived in an urban area had a greater risk of mental health problems and suicidal ideation. A study from Bangladesh that discovered significant mental health issues among university students residing in urban areas during the coronavirus outbreak [\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e]. Furthermore, a study done by Tasnim et al. [\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e] in Bangladesh reported that university students in urban areas have a higher risk of suicidal ideation than those in rural areas, which is also consistent with our findings. Corresponding to a study during the SARS outbreak [\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e], MERS outbreak [\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e], and a recent study during the coronavirus outbreak [\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e], the findings of our study reported that single HCWs had a higher risk of mental health problems. Our findings also indicated that single HCWs had a higher chance of suicidal behavior. A systematic review of studies on suicidal behaviors conducted in Bangladesh during the coronavirus outbreak found that being single in marital status was a significant risk factor for suicidal behavior [\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e]. Similar results were discovered in other studies in Bhutan [\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e] and China [\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eOur study demonstrated that HCWs with a lower socioeconomic status was a greater chance of experiencing mental health problems and suicidal ideation. A prior study conducted among the general population and HCWs in Egypt during the coronavirus outbreak reported that low socioeconomic class was an important risk factor for mental health problems [\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e]. However, our findings also align with a study among university students, which found that students from higher socioeconomic families had more suicidal ideation than those from lower socioeconomic families [\u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e]. Similar to previous research conducted before the pandemic, lower socioeconomic status has been linked to suicidal ideation [\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e, \u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e]. More research is necessary to identify whether the findings are due to Bangladeshi culture, student samples, the COVID-19 pandemic, or other factors. The findings revealed that respondents who lived with family were less chance of experiencing mental health problems and suicidal ideation. Our findings contradict previous research, which found that HCWs living with family members experienced higher mental health problems [\u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e]. Living alone is generally considered a risk factor for suicide [\u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e57\u003c/span\u003e], but research findings are mixed among middle-aged and older adults. Despite negative findings [\u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e], living with family or others would protect against suicidal behavior [\u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e59\u003c/span\u003e] and suicide death [\u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e60\u003c/span\u003e]. However, further research might be required in this area to confirm this finding, as the association might vary throughout the epidemic in the country.\u003c/p\u003e \u003cp\u003eThe current study found that medical technicians had less chance of experiencing mental health problems, suicidal ideation, and suicide plans. This finding contradicts the previous study performed in China, which demonstrated that medical technology trainees reported a higher burden of mental health problems during the coronavirus outbreak [\u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e61\u003c/span\u003e]. Our findings also contradicted previous research that found Malaysian HCWs (including medical technicians) had a higher rate of suicidal ideation during the first stages of the coronavirus outbreak when compared to pre-pandemic data [\u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e]. These contradictory findings could be because less-educated medical technicians in Bangladesh had fewer responsibilities and leadership roles, resulting in less exposure to potentially stressful situations. Therefore, they had a lower risk of mental health problems, suicidal ideation, and suicide plans.\u003c/p\u003e \u003cp\u003eThe results of our study suggest that individuals employed in frontline roles exhibited an elevated likelihood of encountering mental health issues, including suicidal thoughts, intentions, and actual attempts. Our findings are unsurprising because the literature has shown that frontline workers had higher rates of mental health problems [\u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e59\u003c/span\u003e, \u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e60\u003c/span\u003e]. According to a recent study conducted in Wuhan, China, frontline workers experienced the most severe mental health problems in these working conditions [\u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e62\u003c/span\u003e]. Moreover, a recent systematic review by Sanghera et al. [\u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e63\u003c/span\u003e] also reported similar findings. However, a national online cross-sectional study conducted by Shi et al. [\u003cspan citationid=\"CR64\" class=\"CitationRef\"\u003e64\u003c/span\u003e] in China during the COVID-19 pandemic revealed that participating in frontline work was a significantly higher chance of experiencing suicidal ideation, which is also in line with our results. Appropriate strategies and intervention measures should be implemented to reduce the risk of mental health problems and suicidality among these frontline workers.\u003c/p\u003e \u003cp\u003eThe findings revealed that HCWs with less than five years of job experience had more chance to experience mental health problems and less chance of experiencing suicidal ideation. This finding is supported by a similar study conducted in Bangladesh, which reported that HCWs who had worked for less than five years were at a higher risk of developing mental health problems [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. However, our findings contradicted by Sahimi et al. [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e], who claimed that during the first phases of the coronavirus outbreak, a study of Malaysian HCWs found that more extended service (over ten years) seemed to protect against suicidal ideation. Another study conducted in England and Wales discovered that seniority among physicians was not significantly related to suicide [\u003cspan citationid=\"CR65\" class=\"CitationRef\"\u003e65\u003c/span\u003e]. These findings could be explained because our study was conducted one year after the COVID-19 pandemic. HCWs had adapted to their new everyday lives.\u003c/p\u003e \u003cp\u003eOur study showed that HCWs who exercised daily were less likely to experience mental health problems and suicidal ideation. Our results matched those of recent Bangladeshi studies, which found that HCWs who exercised were less likely to endorse mental health problems [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. Similar results were found in other Bangladeshi studies [\u003cspan citationid=\"CR66\" class=\"CitationRef\"\u003e66\u003c/span\u003e, \u003cspan citationid=\"CR67\" class=\"CitationRef\"\u003e67\u003c/span\u003e]. Furthermore, our findings also support those of Tasnim et al. [\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e], who discovered that regular physical activity protects against suicidal ideation. The present study also demonstrated that respondents with comorbidities and smokers had a considerably higher risk of suicidal ideation, suicide plans, and suicide attempts. The aforementioned findings are supported by a recent study conducted in Bangladesh, wherein a positive association was observed between comorbidity and less physical activity, and an increased susceptibility to suicidality [\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e]. In other studies conducted in the same country, cigarette smokers were found to be more likely to have suicidal ideation [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e, \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e]. Given that comorbidities and cigarette smoking are likely to worsen due to COVID-19 infection [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e, \u003cspan citationid=\"CR68\" class=\"CitationRef\"\u003e68\u003c/span\u003e], people with more comorbidities and cigarette smoking may have more negative psychological reactions than those who don't.\u003c/p\u003e \u003cp\u003eThe study has several notable strengths: The initial nationwide multicenter study conducted in Bangladesh aimed to assess the mental health status and prevalence of suicidality among HCWs following one year of the COVID-19 epidemic. Second, the results will help better understand mental health status and suicidality during pandemics, identify at-risk groups and inspire specialized prevention initiatives. Third, the present study encompassed a substantial sample size and incorporated a diverse range of HCWs, hence facilitating the derivation of significant conclusions. Fourth, the results will help policymakers develop effective policies for enhancing mental health strategies and preventing suicidality across Asia and the rest of the world. Finally, the findings can be a useful guide for both government and non-government authorities in developing plans and actions to promote sound mental health and suicide prevention during the COVID-19 pandemic and in the future.\u003c/p\u003e \u003cp\u003eSimilar to previous academic investigations, this particular study also exhibits a number of shortcomings. First, mental health issues and tendencies towards suicide were assessed utilizing a self-report instrument and an internet-based questionnaire. Subsequent investigations ought to incorporate clinical interviews or qualitative studies in order to obtain a more comprehensive understanding of the issue at hand. Second, causation could not be established due to the cross-sectional design of the investigation. Therefore, it is recommended that longitudinal studies be undertaken in order to address this restriction. Third, the study employed snowball sampling, which led to the presence of selection biases and compromised the representativeness of the sample. Fourth, the assessment of the participation rate is rendered impossible due to the lack of clarity regarding the number of subjects who were provided with the survey link. Finally, the present study did not account for potential confounding variables, including but not limited to the participants' prior psychological history, sleep patterns, professional contentment, and personal or familial suicide history.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThis study represents the inaugural investigation in Bangladesh that assesses the mental health condition and propensity for suicide among Bangladeshi HCWs subsequent to one year of the COVID-19 pandemic. The present study discovered that HCWs from Bangladesh encountered notable mental health issues and had tendencies towards suicide thoughts following one year of the COVID-19 pandemic. Our study proposes the implementation of effective techniques, timely provision of psychological support, and necessary treatments to address the mental health issues and suicidal tendencies among HCWs, based on the identified factors.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eCOVID-19 \u0026nbsp; \u0026nbsp; \u0026nbsp; Coronavirus disease 2019\u003c/p\u003e\n\u003cp\u003eHCWs\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;Healthcare workers\u003c/p\u003e\n\u003cp\u003eGHQ\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;General Health Questionnaire\u003c/p\u003e\n\u003cp\u003eSARS\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Severe acute respiratory syndrome\u003c/p\u003e\n\u003cp\u003eMERS \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Middle East respiratory syndrome\u003c/p\u003e\n\u003cp\u003eCOR\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Crude odds ratio\u003c/p\u003e\n\u003cp\u003eAOR\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;Adjusted odds ratio\u003c/p\u003e\n\u003cp\u003eCI \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Confidence interval\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe studies involving human participants were reviewed and approved by the\u0026nbsp;Institutional Ethical Review Board of the Holy Family Red Crescent Medical College \u0026amp; Hospital, Dhaka, Bangladesh (Approval No: IERB/36).\u0026nbsp;The participants provided their online informed consent to participate in this study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets generated during and analyzed during the current study are available from the corresponding author on reasonable request.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNo funding was received for this study from any source.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors\u0026apos; contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAM: conceptualization, methodology, formal analysis, writing\u0026mdash;original draft,\u0026nbsp;writing\u0026mdash;review, and editing. AM, PS, and MM: data collection. All authors provided feedback on earlier drafts of the manuscript. The final manuscript was read and approved by all authors.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors thank all respondents for their time and excellent cooperation in the survey.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors\u0026apos; information\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMd. Dhedharul Alam:\u0026nbsp;Department of Psychology, Jagannath University, Dhaka-1100, Bangladesh.\u003c/p\u003e\n\u003cp\u003eSujan Kumer Paul: Department of Dental Pharmacology, Holy Family Red Crescent Medical College \u0026amp; Hospital, Dhaka- 1000, Bangladesh.\u003c/p\u003e\n\u003cp\u003eMahmuda Momi: Department of Restorative Dentistry, City Dental College \u0026amp; Hospital, Dhaka-1229, Bangladesh.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eWorld Health Organization. \u003cem\u003eWHO Coronavirus (COVID-19) Dashboard (2021)\u003c/em\u003e. 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Lancet. 2020;395(10223):507\u0026ndash;13. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/s0140-6736(20)30211-7\u003c/span\u003e\u003cspan address=\"10.1016/s0140-6736(20)30211-7\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003e\u003cstrong\u003eTable 1\u003c/strong\u003e Socio-demographic characteristics of the study participants.\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"630\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFactors\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eParticipants, No. (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eOverall\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e2047 (100.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eGender\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Male\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e1090 (53.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Female\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e957 (46.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAge (years)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 18-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e828 (40.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 30-39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e614 (30.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 40-49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e410 (20.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026ge;50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e195 (9.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCurrent residence\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Urban\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e1490 (72.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Rural\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e557 (27.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eEducational status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Bachelor (MBBS) or lower degree\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e626 (30.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Post-graduate degree\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e1025 (50.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Doctoral degree\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e388 (19.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Other\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e8 (0.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMarital status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Single\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e610 (29.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Married\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e1232 (60.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Divorced/Separated/Widowed\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e205 (10.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSocioeconomic status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Lower class\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e594 (29.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Middle class\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e1159 (56.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Upper class\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e294 (14.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eLiving with family\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e1264 (61.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1\u003c/strong\u003e Socio-demographic characteristics of the study participants (continued).\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"641\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFactors\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eParticipants, No. (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e783 (38.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eHaving children\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e1054 (51.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; No\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e993 (48.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eProfession\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Doctor\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e675 (33.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Nurse\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e162 (7.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Medical technician\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e251 (12.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Hospital workers\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e311 (15.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Other\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e648 (31.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eTypes of jobs\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Frontline\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e1130 (55.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Second-line\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e917 (44.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eJob titles\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Senior\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e313 (15.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Intermediate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e476 (23.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Junior \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e880 (43.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;New\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e367 (17.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Other\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e11 (0.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eJob experiences (years)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026le;5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e1005 (49.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;6-10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e388 (19.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;11-19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e426 (20.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026ge;20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e228 (11.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePhysical exercise\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e783 (38.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; No\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e1264 (61.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1\u003c/strong\u003e Socio-demographic characteristics of the study participants (continued).\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"641\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFactors\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eParticipants, No. (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eComorbidity status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e657 (32.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; No\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e1390 (67.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSmoking habit\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e637 (31.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e1410 (68.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eProviding direct service to infected patients\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e1143 (55.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e904 (44.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePersonal COVID-19 infection\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e700 (34.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e1347 (65.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFamily and friends COVID-19 infection\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e914 (44.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e1133 (55.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFamily and friends COVID-19 death\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e585 (28.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003e1462 (71.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2\u003c/strong\u003e Prevalence and distribution of all independent variables and association with mental health problems, suicidal ideation, suicide plans, and suicide attempts.\u003c/p\u003e\n\u003cdiv\u003e\n \u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"1266\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.748815165876778%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.95734597156398%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMental health problems\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.43127962085308%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicidal ideation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.009478672985782%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicidal plan\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.587677725118482%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicide attempt\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.356435643564357%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eParticipants No. (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.851485148514852%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eParticipants No. (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.861386138613861%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eParticipants No. (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.871287128712872%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eParticipants No. (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.425742574257426%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003evalue\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.415841584158416%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.435643564356436%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003evalue\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003evalue\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9405940594059405%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003evalue\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.748815165876778%\" valign=\"top\"\u003e\n \u003cp\u003eOverall\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.109004739336493%\" valign=\"top\"\u003e\n \u003cp\u003e791\u003c/p\u003e\n \u003cp\u003e(38.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.6350710900473935%\" valign=\"top\"\u003e\n \u003cp\u003e1256\u003c/p\u003e\n \u003cp\u003e(61.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.213270142180095%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"15\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.056872037914692%\" valign=\"top\"\u003e\n \u003cp\u003e79\u003c/p\u003e\n \u003cp\u003e(3.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.161137440758294%\" valign=\"top\"\u003e\n \u003cp\u003e1968\u003c/p\u003e\n \u003cp\u003e(96.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.213270142180095%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"15\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.6350710900473935%\" valign=\"top\"\u003e\n \u003cp\u003e49\u003c/p\u003e\n \u003cp\u003e(2.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.6350710900473935%\" valign=\"top\"\u003e\n \u003cp\u003e1998\u003c/p\u003e\n \u003cp\u003e(97.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.739336492890995%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"15\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.687203791469194%\" valign=\"top\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003cp\u003e(1.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.6350710900473935%\" valign=\"top\"\u003e\n \u003cp\u003e2024\u003c/p\u003e\n \u003cp\u003e(98.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.265402843601896%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.56435643564357%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eGender\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.297029702970296%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.81188118811881%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.326732673267326%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Male\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.425742574257426%\" valign=\"top\"\u003e\n \u003cp\u003e427\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(54.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e663\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(52.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.415841584158416%\" valign=\"top\"\u003e\n \u003cp\u003e41\u003c/p\u003e\n \u003cp\u003e(51.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.435643564356436%\" valign=\"top\"\u003e\n \u003cp\u003e1049\u003c/p\u003e\n \u003cp\u003e(53.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e27\u003c/p\u003e\n \u003cp\u003e(55.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e1063\u003c/p\u003e\n \u003cp\u003e(53.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9405940594059405%\" valign=\"top\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003cp\u003e(56.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e1077\u003c/p\u003e\n \u003cp\u003e(53.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Female\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e364\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(46.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e593\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(47.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e38\u003c/p\u003e\n \u003cp\u003e(48.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e919\u003c/p\u003e\n \u003cp\u003e(46.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003cp\u003e(44.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e935\u003c/p\u003e\n \u003cp\u003e(46.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003cp\u003e(43.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e947\u003c/p\u003e\n \u003cp\u003e(46.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.56435643564357%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAge (years)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.297029702970296%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.81188118811881%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.326732673267326%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 18-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.425742574257426%\" valign=\"top\"\u003e\n \u003cp\u003e236\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(29.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e592\u003c/p\u003e\n \u003cp\u003e(47.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.415841584158416%\" valign=\"top\"\u003e\n \u003cp\u003e46\u003c/p\u003e\n \u003cp\u003e(58.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.435643564356436%\" valign=\"top\"\u003e\n \u003cp\u003e782\u003c/p\u003e\n \u003cp\u003e(39.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003cp\u003e(53.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e802\u003c/p\u003e\n \u003cp\u003e(40.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" rowspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9405940594059405%\" valign=\"top\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e(47.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e817\u003c/p\u003e\n \u003cp\u003e(40.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" rowspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 30-39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e258\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(32.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e356\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(28.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003cp\u003e(29.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e591\u003c/p\u003e\n \u003cp\u003e(30.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003cp\u003e(28.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003cp\u003e(30.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003cp\u003e(30.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e607\u003c/p\u003e\n \u003cp\u003e(30.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 40-49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e184\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(23.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e226\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;(18.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e(6.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e405\u003c/p\u003e\n \u003cp\u003e(20.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003cp\u003e(14.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e403\u003c/p\u003e\n \u003cp\u003e(20.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(13.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e407\u003c/p\u003e\n \u003cp\u003e(20.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026ge;50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e113\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(14.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e82\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(6.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e(6.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e190\u003c/p\u003e\n \u003cp\u003e(9.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(4.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e193\u003c/p\u003e\n \u003cp\u003e(9.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(8.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e193\u003c/p\u003e\n \u003cp\u003e(9.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.56435643564357%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCurrent residence\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.297029702970296%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.81188118811881%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.326732673267326%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Urban\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.425742574257426%\" valign=\"top\"\u003e\n \u003cp\u003e498\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(63.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e992\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(79.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.415841584158416%\" valign=\"top\"\u003e\n \u003cp\u003e59\u003c/p\u003e\n \u003cp\u003e(74.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.435643564356436%\" valign=\"top\"\u003e\n \u003cp\u003e1431\u003c/p\u003e\n \u003cp\u003e(72.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e36\u003c/p\u003e\n \u003cp\u003e(73.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e1454\u003c/p\u003e\n \u003cp\u003e(72.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9405940594059405%\" valign=\"top\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003cp\u003e(60.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e1476\u003c/p\u003e\n \u003cp\u003e(72.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Rural\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e293\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(37.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e264\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(21.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003cp\u003e(25.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e537\u003c/p\u003e\n \u003cp\u003e(27.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003cp\u003e(26.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e544\u003c/p\u003e\n \u003cp\u003e(27.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003cp\u003e(39.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e548\u003c/p\u003e\n \u003cp\u003e(27.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.56435643564357%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eEducational status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.297029702970296%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.81188118811881%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.326732673267326%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Bachelor (MBBS) or lower degree\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.425742574257426%\" valign=\"top\"\u003e\n \u003cp\u003e167\u003c/p\u003e\n \u003cp\u003e(21.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e459\u003c/p\u003e\n \u003cp\u003e(36.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.415841584158416%\" valign=\"top\"\u003e\n \u003cp\u003e25\u003c/p\u003e\n \u003cp\u003e(31.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.435643564356436%\" valign=\"top\"\u003e\n \u003cp\u003e601\u003c/p\u003e\n \u003cp\u003e(30.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003cp\u003e(36.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e608\u003c/p\u003e\n \u003cp\u003e(30.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9405940594059405%\" valign=\"top\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003cp\u003e(43.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e616\u003c/p\u003e\n \u003cp\u003e(30.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Post-graduate degree\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e420\u003c/p\u003e\n \u003cp\u003e(53.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e605\u003c/p\u003e\n \u003cp\u003e(48.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e46\u003c/p\u003e\n \u003cp\u003e(58.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e979\u003c/p\u003e\n \u003cp\u003e(49.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e27\u003c/p\u003e\n \u003cp\u003e(55.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e998\u003c/p\u003e\n \u003cp\u003e(49.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003cp\u003e(52.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e1013\u003c/p\u003e\n \u003cp\u003e(50.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2\u003c/strong\u003e Prevalence and distribution of all independent variables and association with mental health problems, suicidal ideation, suicide plans, and suicide attempts (continued).\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"1266\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.748815165876778%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.95734597156398%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMental health problems\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.43127962085308%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicidal ideation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.009478672985782%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicidal plan\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.587677725118482%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicide attempt\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.356435643564357%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eParticipants No. (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.851485148514852%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eParticipants No. (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.861386138613861%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eParticipants No. (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.871287128712872%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eParticipants No. (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.425742574257426%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003evalue\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.415841584158416%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.435643564356436%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003evalue\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003evalue\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9405940594059405%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003evalue\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.748815165876778%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Doctoral degree\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.109004739336493%\" valign=\"top\"\u003e\n \u003cp\u003e198\u003c/p\u003e\n \u003cp\u003e(25.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.6350710900473935%\" valign=\"top\"\u003e\n \u003cp\u003e190\u003c/p\u003e\n \u003cp\u003e(15.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.213270142180095%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"16\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.056872037914692%\" valign=\"top\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003cp\u003e(10.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.161137440758294%\" valign=\"top\"\u003e\n \u003cp\u003e380\u003c/p\u003e\n \u003cp\u003e(19.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.213270142180095%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"16\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.6350710900473935%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(6.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.6350710900473935%\" valign=\"top\"\u003e\n \u003cp\u003e385\u003c/p\u003e\n \u003cp\u003e(19.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.739336492890995%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"16\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.687203791469194%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(4.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.6350710900473935%\" valign=\"top\"\u003e\n \u003cp\u003e387\u003c/p\u003e\n \u003cp\u003e(19.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.265402843601896%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Other\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e6\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(0.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(0.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003cp\u003e(0.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(2.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003cp\u003e(0.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003cp\u003e(0.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.56435643564357%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMarital status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.297029702970296%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.81188118811881%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.326732673267326%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Single\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.425742574257426%\" valign=\"top\"\u003e\n \u003cp\u003e158\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(20.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e452\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(36.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.415841584158416%\" valign=\"top\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003cp\u003e(30.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.435643564356436%\" valign=\"top\"\u003e\n \u003cp\u003e586\u003c/p\u003e\n \u003cp\u003e(29.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003cp\u003e(40.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e590\u003c/p\u003e\n \u003cp\u003e(29.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9405940594059405%\" valign=\"top\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003cp\u003e(43.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003cp\u003e(29.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.35\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Married\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e539\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(68.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e693\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(55.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e48\u003c/p\u003e\n \u003cp\u003e(60.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e1184\u003c/p\u003e\n \u003cp\u003e(60.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003cp\u003e(53.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e1206\u003c/p\u003e\n \u003cp\u003e(60.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e(47.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e1221\u003c/p\u003e\n \u003cp\u003e(60.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Divorced/Separated/Widowed\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e94\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(11.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e111\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(8.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003cp\u003e(8.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e198\u003c/p\u003e\n \u003cp\u003e(10.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(6.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e202\u003c/p\u003e\n \u003cp\u003e(10.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(8.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e203\u003c/p\u003e\n \u003cp\u003e(10.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.56435643564357%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSocio-economic status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.297029702970296%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.81188118811881%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.326732673267326%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Lower class\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.425742574257426%\" valign=\"top\"\u003e\n \u003cp\u003e182\u003c/p\u003e\n \u003cp\u003e(23.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e412\u003c/p\u003e\n \u003cp\u003e(32.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.415841584158416%\" valign=\"top\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003cp\u003e(21.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.435643564356436%\" valign=\"top\"\u003e\n \u003cp\u003e577\u003c/p\u003e\n \u003cp\u003e(29.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003cp\u003e(40.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e574\u003c/p\u003e\n \u003cp\u003e(28.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9405940594059405%\" valign=\"top\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003cp\u003e(30.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e587\u003c/p\u003e\n \u003cp\u003e(29.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Middle class\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e457\u003c/p\u003e\n \u003cp\u003e(57.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e702\u003c/p\u003e\n \u003cp\u003e(55.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e30\u003c/p\u003e\n \u003cp\u003e(38.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e1129\u003c/p\u003e\n \u003cp\u003e(57.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e25\u003c/p\u003e\n \u003cp\u003e(51.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e1134\u003c/p\u003e\n \u003cp\u003e(56.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003cp\u003e(60.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e1145\u003c/p\u003e\n \u003cp\u003e(56.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Upper class\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e152\u003c/p\u003e\n \u003cp\u003e(19.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e142\u003c/p\u003e\n \u003cp\u003e(11.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e32\u003c/p\u003e\n \u003cp\u003e(40.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e262\u003c/p\u003e\n \u003cp\u003e(13.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003cp\u003e(8.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e290\u003c/p\u003e\n \u003cp\u003e(14.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(8.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e292\u003c/p\u003e\n \u003cp\u003e(14.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.56435643564357%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eLiving with family\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.297029702970296%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.81188118811881%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.326732673267326%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.425742574257426%\" valign=\"top\"\u003e\n \u003cp\u003e580\u003c/p\u003e\n \u003cp\u003e(73.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e684\u003c/p\u003e\n \u003cp\u003e(54.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.415841584158416%\" valign=\"top\"\u003e\n \u003cp\u003e63\u003c/p\u003e\n \u003cp\u003e(79.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.435643564356436%\" valign=\"top\"\u003e\n \u003cp\u003e1201\u003c/p\u003e\n \u003cp\u003e(61.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e31\u003c/p\u003e\n \u003cp\u003e(63.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e1233\u003c/p\u003e\n \u003cp\u003e(61.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9405940594059405%\" valign=\"top\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003cp\u003e(73.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e1247\u003c/p\u003e\n \u003cp\u003e(61.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.22\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e211\u003c/p\u003e\n \u003cp\u003e(26.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e572\u003c/p\u003e\n \u003cp\u003e(45.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003cp\u003e(20.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e767\u003c/p\u003e\n \u003cp\u003e(39.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003cp\u003e(36.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e765\u003c/p\u003e\n \u003cp\u003e(38.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003cp\u003e(26.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e777\u003c/p\u003e\n \u003cp\u003e(38.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.56435643564357%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eHaving children\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.297029702970296%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.81188118811881%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.326732673267326%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.425742574257426%\" valign=\"top\"\u003e\n \u003cp\u003e481\u003c/p\u003e\n \u003cp\u003e(60.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e573\u003c/p\u003e\n \u003cp\u003e(45.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.415841584158416%\" valign=\"top\"\u003e\n \u003cp\u003e31\u003c/p\u003e\n \u003cp\u003e(39.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.435643564356436%\" valign=\"top\"\u003e\n \u003cp\u003e1023\u003c/p\u003e\n \u003cp\u003e(52.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003cp\u003e(42.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e1033\u003c/p\u003e\n \u003cp\u003e(51.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9405940594059405%\" valign=\"top\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003cp\u003e(39.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e1045\u003c/p\u003e\n \u003cp\u003e(51.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; No\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e310\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(39.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e683\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(54.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e48\u003c/p\u003e\n \u003cp\u003e(60.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e945\u003c/p\u003e\n \u003cp\u003e(48.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e28\u003c/p\u003e\n \u003cp\u003e(57.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e965\u003c/p\u003e\n \u003cp\u003e(48.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003cp\u003e(60.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e979\u003c/p\u003e\n \u003cp\u003e(48.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2\u003c/strong\u003e Prevalence and distribution of all independent variables and association with mental health problems, suicidal ideation, suicide plans, and suicide attempts (continued).\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"1266\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.748815165876778%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.95734597156398%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMental health problems\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.43127962085308%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicidal ideation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.009478672985782%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicidal plan\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.587677725118482%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicide attempt\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.356435643564357%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eParticipants No. (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.851485148514852%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eParticipants No. (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.861386138613861%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eParticipants No. (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.871287128712872%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eParticipants No. (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.425742574257426%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003evalue\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.415841584158416%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.435643564356436%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003evalue\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003evalue\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9405940594059405%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003evalue\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"41.70616113744076%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eProfession\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"16\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.43127962085308%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"16\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.009478672985782%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"16\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.587677725118482%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Doctor\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.425742574257426%\" valign=\"top\"\u003e\n \u003cp\u003e286\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(36.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e389\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(31.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"5\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.415841584158416%\" valign=\"top\"\u003e\n \u003cp\u003e27\u003c/p\u003e\n \u003cp\u003e(34.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.435643564356436%\" valign=\"top\"\u003e\n \u003cp\u003e648\u003c/p\u003e\n \u003cp\u003e(32.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"5\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003cp\u003e(34.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e658\u003c/p\u003e\n \u003cp\u003e(32.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" rowspan=\"5\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9405940594059405%\" valign=\"top\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003cp\u003e(34.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e667\u003c/p\u003e\n \u003cp\u003e(33.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" rowspan=\"5\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Nurse\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e67\u003c/p\u003e\n \u003cp\u003e(8.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e95\u003c/p\u003e\n \u003cp\u003e(7.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e(13.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e151\u003c/p\u003e\n \u003cp\u003e(7.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(4.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e160\u003c/p\u003e\n \u003cp\u003e(8.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(8.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e160\u003c/p\u003e\n \u003cp\u003e(7.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Medical technician\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003cp\u003e(12.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e151\u003c/p\u003e\n \u003cp\u003e(12.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003cp\u003e(15.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e239\u003c/p\u003e\n \u003cp\u003e(12.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003cp\u003e(20.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e241\u003c/p\u003e\n \u003cp\u003e(12.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003cp\u003e(26.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e245\u003c/p\u003e\n \u003cp\u003e(12.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Hospital workers\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e132\u003c/p\u003e\n \u003cp\u003e(16.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e179\u003c/p\u003e\n \u003cp\u003e(14.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003cp\u003e(17.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e297\u003c/p\u003e\n \u003cp\u003e(15.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003cp\u003e(18.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e302\u003c/p\u003e\n \u003cp\u003e(15.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(8.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e309\u003c/p\u003e\n \u003cp\u003e(15.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Other\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e206\u003c/p\u003e\n \u003cp\u003e(26.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e442\u003c/p\u003e\n \u003cp\u003e(35.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003cp\u003e(19.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e633\u003c/p\u003e\n \u003cp\u003e(32.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e(22.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e637\u003c/p\u003e\n \u003cp\u003e(31.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e(21.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e643\u003c/p\u003e\n \u003cp\u003e(31.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.56435643564357%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eTypes of jobs\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.297029702970296%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.81188118811881%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.326732673267326%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Frontline\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.425742574257426%\" valign=\"top\"\u003e\n \u003cp\u003e472\u003c/p\u003e\n \u003cp\u003e(59.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e644\u003c/p\u003e\n \u003cp\u003e(51.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.415841584158416%\" valign=\"top\"\u003e\n \u003cp\u003e44\u003c/p\u003e\n \u003cp\u003e(55.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.435643564356436%\" valign=\"top\"\u003e\n \u003cp\u003e1086\u003c/p\u003e\n \u003cp\u003e(55.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e35\u003c/p\u003e\n \u003cp\u003e(71.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e1095\u003c/p\u003e\n \u003cp\u003e(54.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9405940594059405%\" valign=\"top\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003cp\u003e(65.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e1115\u003c/p\u003e\n \u003cp\u003e(55.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.33\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Second-line\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e319\u003c/p\u003e\n \u003cp\u003e(40.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e612\u003c/p\u003e\n \u003cp\u003e(48.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e35\u003c/p\u003e\n \u003cp\u003e(44.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e882\u003c/p\u003e\n \u003cp\u003e(44.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003cp\u003e(28.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e903\u003c/p\u003e\n \u003cp\u003e(45.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003cp\u003e(34.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e909\u003c/p\u003e\n \u003cp\u003e(44.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.56435643564357%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eJob titles\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.297029702970296%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.81188118811881%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.326732673267326%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Senior\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.425742574257426%\" valign=\"top\"\u003e\n \u003cp\u003e191\u003c/p\u003e\n \u003cp\u003e(24.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e122\u003c/p\u003e\n \u003cp\u003e(9.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"5\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.415841584158416%\" valign=\"top\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003cp\u003e(8.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.435643564356436%\" valign=\"top\"\u003e\n \u003cp\u003e306\u003c/p\u003e\n \u003cp\u003e(15.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"5\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(6.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e310\u003c/p\u003e\n \u003cp\u003e(15.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" rowspan=\"5\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9405940594059405%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(8.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e311\u003c/p\u003e\n \u003cp\u003e(15.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" rowspan=\"5\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.40\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Intermediate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e207\u003c/p\u003e\n \u003cp\u003e(26.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e269\u003c/p\u003e\n \u003cp\u003e(21.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003cp\u003e(15.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e464\u003c/p\u003e\n \u003cp\u003e(23.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003cp\u003e(16.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e468\u003c/p\u003e\n \u003cp\u003e(23.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(13.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e473\u003c/p\u003e\n \u003cp\u003e(23.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Junior\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e263\u003c/p\u003e\n \u003cp\u003e(33.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e617\u003c/p\u003e\n \u003cp\u003e(49.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e41\u003c/p\u003e\n \u003cp\u003e(51.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e839\u003c/p\u003e\n \u003cp\u003e(42.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003cp\u003e(46.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e857\u003c/p\u003e\n \u003cp\u003e(42.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e(47.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e869\u003c/p\u003e\n \u003cp\u003e(42.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;New\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e120\u003c/p\u003e\n \u003cp\u003e(15.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e247\u003c/p\u003e\n \u003cp\u003e(19.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003cp\u003e(24.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e348\u003c/p\u003e\n \u003cp\u003e(17.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003cp\u003e(30.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e352\u003c/p\u003e\n \u003cp\u003e(17.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003cp\u003e(30.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e360\u003c/p\u003e\n \u003cp\u003e(17.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Other\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003cp\u003e(1.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(0.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e(0.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e(0.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e(0.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.56435643564357%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eJob experiences (years)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.297029702970296%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.81188118811881%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.326732673267326%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2\u003c/strong\u003e Prevalence and distribution of all independent variables and association with mental health problems, suicidal ideation, suicide plans, and suicide attempts (continued).\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"1266\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.748815165876778%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.95734597156398%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMental health problems\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.43127962085308%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicidal ideation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.009478672985782%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicidal plan\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.587677725118482%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicide attempt\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.356435643564357%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eParticipants No. (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.851485148514852%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eParticipants No. (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.861386138613861%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eParticipants No. (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.871287128712872%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eParticipants No. (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.748815165876778%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.109004739336493%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.6350710900473935%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.213270142180095%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003evalue\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.056872037914692%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.161137440758294%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.213270142180095%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003evalue\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.6350710900473935%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.6350710900473935%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.739336492890995%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003evalue\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.687203791469194%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.6350710900473935%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.265402843601896%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003evalue\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.748815165876778%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026le;5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.109004739336493%\" valign=\"top\"\u003e\n \u003cp\u003e286\u003c/p\u003e\n \u003cp\u003e(36.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.6350710900473935%\" valign=\"top\"\u003e\n \u003cp\u003e719\u003c/p\u003e\n \u003cp\u003e(57.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.213270142180095%\" rowspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"17\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.056872037914692%\" valign=\"top\"\u003e\n \u003cp\u003e53\u003c/p\u003e\n \u003cp\u003e(67.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.161137440758294%\" valign=\"top\"\u003e\n \u003cp\u003e952\u003c/p\u003e\n \u003cp\u003e(48.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.213270142180095%\" rowspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"17\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.6350710900473935%\" valign=\"top\"\u003e\n \u003cp\u003e35\u003c/p\u003e\n \u003cp\u003e(71.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.6350710900473935%\" valign=\"top\"\u003e\n \u003cp\u003e970\u003c/p\u003e\n \u003cp\u003e(48.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.739336492890995%\" rowspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"17\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.687203791469194%\" valign=\"top\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003cp\u003e(65.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.6350710900473935%\" valign=\"top\"\u003e\n \u003cp\u003e990\u003c/p\u003e\n \u003cp\u003e(48.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.265402843601896%\" rowspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;6-10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e173\u003c/p\u003e\n \u003cp\u003e(21.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e215\u003c/p\u003e\n \u003cp\u003e(17.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003cp\u003e(20.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e372\u003c/p\u003e\n \u003cp\u003e(18.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e(10.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e383\u003c/p\u003e\n \u003cp\u003e(19.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(13.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e385\u003c/p\u003e\n \u003cp\u003e(19.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;11-19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e206\u003c/p\u003e\n \u003cp\u003e(26.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e220\u003c/p\u003e\n \u003cp\u003e(17.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e(6.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e421\u003c/p\u003e\n \u003cp\u003e(21.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003cp\u003e(12.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e420\u003c/p\u003e\n \u003cp\u003e(21.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(13.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e423\u003c/p\u003e\n \u003cp\u003e(20.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026ge;20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e126\u003c/p\u003e\n \u003cp\u003e(15.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e102\u003c/p\u003e\n \u003cp\u003e(8.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e(6.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e223\u003c/p\u003e\n \u003cp\u003e(11.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(6.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e225\u003c/p\u003e\n \u003cp\u003e(11.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(8.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e226\u003c/p\u003e\n \u003cp\u003e(11.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.56435643564357%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePhysical exercise\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.297029702970296%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.81188118811881%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.326732673267326%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.425742574257426%\" valign=\"top\"\u003e\n \u003cp\u003e370\u003c/p\u003e\n \u003cp\u003e(46.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e413\u003c/p\u003e\n \u003cp\u003e(32.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.415841584158416%\" valign=\"top\"\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003cp\u003e(27.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.435643564356436%\" valign=\"top\"\u003e\n \u003cp\u003e761\u003c/p\u003e\n \u003cp\u003e(38.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003cp\u003e(32.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e767\u003c/p\u003e\n \u003cp\u003e(38.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9405940594059405%\" valign=\"top\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003cp\u003e(30.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e776\u003c/p\u003e\n \u003cp\u003e(38.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.43\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; No\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e421\u003c/p\u003e\n \u003cp\u003e(53.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e843\u003c/p\u003e\n \u003cp\u003e(67.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e57\u003c/p\u003e\n \u003cp\u003e(72.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e1207\u003c/p\u003e\n \u003cp\u003e(61.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e33\u003c/p\u003e\n \u003cp\u003e(67.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e1231\u003c/p\u003e\n \u003cp\u003e(61.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003cp\u003e(69.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e1248\u003c/p\u003e\n \u003cp\u003e(61.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.56435643564357%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eComorbidity status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.297029702970296%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.81188118811881%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.326732673267326%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.425742574257426%\" valign=\"top\"\u003e\n \u003cp\u003e242\u003c/p\u003e\n \u003cp\u003e(30.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e415\u003c/p\u003e\n \u003cp\u003e(33.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.415841584158416%\" valign=\"top\"\u003e\n \u003cp\u003e43\u003c/p\u003e\n \u003cp\u003e(54.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.435643564356436%\" valign=\"top\"\u003e\n \u003cp\u003e614\u003c/p\u003e\n \u003cp\u003e(31.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e29\u003c/p\u003e\n \u003cp\u003e(59.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e628\u003c/p\u003e\n \u003cp\u003e(31.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9405940594059405%\" valign=\"top\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003cp\u003e(60.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e643\u003c/p\u003e\n \u003cp\u003e(31.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; No\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e549\u003c/p\u003e\n \u003cp\u003e(69.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e841\u003c/p\u003e\n \u003cp\u003e(67.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e36\u003c/p\u003e\n \u003cp\u003e(45.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e1354\u003c/p\u003e\n \u003cp\u003e(68.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003cp\u003e(40.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e1370\u003c/p\u003e\n \u003cp\u003e(68.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003cp\u003e(39.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e1381\u003c/p\u003e\n \u003cp\u003e(68.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.56435643564357%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSmoking habit\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.297029702970296%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.81188118811881%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.326732673267326%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.425742574257426%\" valign=\"top\"\u003e\n \u003cp\u003e230\u003c/p\u003e\n \u003cp\u003e(29.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e407\u003c/p\u003e\n \u003cp\u003e(32.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.415841584158416%\" valign=\"top\"\u003e\n \u003cp\u003e49\u003c/p\u003e\n \u003cp\u003e(62.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.435643564356436%\" valign=\"top\"\u003e\n \u003cp\u003e588\u003c/p\u003e\n \u003cp\u003e(29.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e31\u003c/p\u003e\n \u003cp\u003e(63.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e606\u003c/p\u003e\n \u003cp\u003e(30.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9405940594059405%\" valign=\"top\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003cp\u003e(69.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e621\u003c/p\u003e\n \u003cp\u003e(30.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e561\u003c/p\u003e\n \u003cp\u003e(70.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e849\u003c/p\u003e\n \u003cp\u003e(67.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e30\u003c/p\u003e\n \u003cp\u003e(38.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e1380\u003c/p\u003e\n \u003cp\u003e(70.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003cp\u003e(36.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e1392\u003c/p\u003e\n \u003cp\u003e(69.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003cp\u003e(30.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e1403\u003c/p\u003e\n \u003cp\u003e(69.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.56435643564357%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eProviding direct service to infected patients\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.297029702970296%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.81188118811881%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.326732673267326%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.425742574257426%\" valign=\"top\"\u003e\n \u003cp\u003e455\u003c/p\u003e\n \u003cp\u003e(57.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e688\u003c/p\u003e\n \u003cp\u003e(54.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.415841584158416%\" valign=\"top\"\u003e\n \u003cp\u003e31\u003c/p\u003e\n \u003cp\u003e(39.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.435643564356436%\" valign=\"top\"\u003e\n \u003cp\u003e1112\u003c/p\u003e\n \u003cp\u003e(56.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e31\u003c/p\u003e\n \u003cp\u003e(63.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e1112\u003c/p\u003e\n \u003cp\u003e(55.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9405940594059405%\" valign=\"top\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003cp\u003e(56.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e1130\u003c/p\u003e\n \u003cp\u003e(55.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.94\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e336\u003c/p\u003e\n \u003cp\u003e(42.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e568\u003c/p\u003e\n \u003cp\u003e(45.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e48\u003c/p\u003e\n \u003cp\u003e(60.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e856\u003c/p\u003e\n \u003cp\u003e(43.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003cp\u003e(36.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e886\u003c/p\u003e\n \u003cp\u003e(44.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003cp\u003e(43.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e894\u003c/p\u003e\n \u003cp\u003e(44.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.56435643564357%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePersonal COVID-19 infection\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.297029702970296%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.81188118811881%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.326732673267326%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2\u003c/strong\u003e Prevalence and distribution of all independent variables and association with mental health problems, suicidal ideation, suicide plans, and suicide attempts (continued).\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"1266\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.748815165876778%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.95734597156398%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMental health problems\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.43127962085308%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicidal ideation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.009478672985782%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicidal plan\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.587677725118482%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicide attempt\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.356435643564357%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eParticipants No. (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.851485148514852%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eParticipants No. (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.861386138613861%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eParticipants No. (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.871287128712872%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eParticipants No. (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.748815165876778%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.109004739336493%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.6350710900473935%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.213270142180095%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003evalue\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"9\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.056872037914692%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.161137440758294%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.213270142180095%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003evalue\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"9\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.6350710900473935%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.6350710900473935%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.739336492890995%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003evalue\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4218009478672986%\" rowspan=\"9\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.687203791469194%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.6350710900473935%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.265402843601896%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003evalue\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.425742574257426%\" valign=\"top\"\u003e\n \u003cp\u003e222\u003c/p\u003e\n \u003cp\u003e(28.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e478\u003c/p\u003e\n \u003cp\u003e(38.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.415841584158416%\" valign=\"top\"\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003cp\u003e(32.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.435643564356436%\" valign=\"top\"\u003e\n \u003cp\u003e674\u003c/p\u003e\n \u003cp\u003e(34.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003cp\u003e(36.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e682\u003c/p\u003e\n \u003cp\u003e(34.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9405940594059405%\" valign=\"top\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003cp\u003e(43.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e690\u003c/p\u003e\n \u003cp\u003e(34.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.34\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e569\u003c/p\u003e\n \u003cp\u003e(71.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e778\u003c/p\u003e\n \u003cp\u003e(61.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e53\u003c/p\u003e\n \u003cp\u003e(67.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e1294\u003c/p\u003e\n \u003cp\u003e(65.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e31\u003c/p\u003e\n \u003cp\u003e(63.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e1316\u003c/p\u003e\n \u003cp\u003e(65.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003cp\u003e(56.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e1334\u003c/p\u003e\n \u003cp\u003e(65.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.56435643564357%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFamily and friend COVID-19 infection\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.297029702970296%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.81188118811881%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.326732673267326%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.425742574257426%\" valign=\"top\"\u003e\n \u003cp\u003e387\u003c/p\u003e\n \u003cp\u003e(48.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e527\u003c/p\u003e\n \u003cp\u003e(42.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026lt;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.415841584158416%\" valign=\"top\"\u003e\n \u003cp\u003e38\u003c/p\u003e\n \u003cp\u003e(48.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.435643564356436%\" valign=\"top\"\u003e\n \u003cp\u003e876\u003c/p\u003e\n \u003cp\u003e(44.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003cp\u003e(49.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e890\u003c/p\u003e\n \u003cp\u003e(44.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9405940594059405%\" valign=\"top\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e(47.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e903\u003c/p\u003e\n \u003cp\u003e(44.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e404\u003c/p\u003e\n \u003cp\u003e(51.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e729\u003c/p\u003e\n \u003cp\u003e(58.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e41\u003c/p\u003e\n \u003cp\u003e(51.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e1092\u003c/p\u003e\n \u003cp\u003e(55.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e25\u003c/p\u003e\n \u003cp\u003e(51.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e1108\u003c/p\u003e\n \u003cp\u003e(55.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003cp\u003e(52.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e1121\u003c/p\u003e\n \u003cp\u003e(55.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.56435643564357%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFamily and friend COVID-19 death\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.297029702970296%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.81188118811881%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.326732673267326%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.762376237623762%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.425742574257426%\" valign=\"top\"\u003e\n \u003cp\u003e231\u003c/p\u003e\n \u003cp\u003e(29.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e354\u003c/p\u003e\n \u003cp\u003e(28.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.415841584158416%\" valign=\"top\"\u003e\n \u003cp\u003e27\u003c/p\u003e\n \u003cp\u003e(34.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.435643564356436%\" valign=\"top\"\u003e\n \u003cp\u003e558\u003c/p\u003e\n \u003cp\u003e(28.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.445544554455446%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003cp\u003e(28.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e571\u003c/p\u003e\n \u003cp\u003e(28.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.9504950495049505%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9405940594059405%\" valign=\"top\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003cp\u003e(26.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.930693069306931%\" valign=\"top\"\u003e\n \u003cp\u003e579\u003c/p\u003e\n \u003cp\u003e(28.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.455445544554456%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.81366459627329%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.316770186335404%\" valign=\"top\"\u003e\n \u003cp\u003e560\u003c/p\u003e\n \u003cp\u003e(70.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e902\u003c/p\u003e\n \u003cp\u003e(71.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.559006211180124%\" valign=\"top\"\u003e\n \u003cp\u003e52\u003c/p\u003e\n \u003cp\u003e(65.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074534161490684%\" valign=\"top\"\u003e\n \u003cp\u003e1410\u003c/p\u003e\n \u003cp\u003e(71.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e35\u003c/p\u003e\n \u003cp\u003e(71.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e1427\u003c/p\u003e\n \u003cp\u003e(71.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.453416149068323%\" valign=\"top\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003cp\u003e(73.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.695652173913043%\" valign=\"top\"\u003e\n \u003cp\u003e1445\u003c/p\u003e\n \u003cp\u003e(71.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3\u003c/strong\u003e Factors associated with mental health problems, suicidal ideation, suicide plans, and suicide attempts of the study participants.\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"1236\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.333333333333336%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.533980582524272%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMental health problems\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4563106796116505%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.048543689320388%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicidal ideation\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4563106796116505%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.533980582524272%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicide plan\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4563106796116505%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.181229773462782%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicide attempt\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.467532467532468%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.467532467532468%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.467532467532468%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.688311688311689%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.467532467532468%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.467532467532468%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.246753246753247%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.727272727272727%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"48.86731391585761%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAge (years)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4563106796116505%\" rowspan=\"17\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.048543689320388%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4563106796116505%\" rowspan=\"17\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.533980582524272%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4563106796116505%\" rowspan=\"17\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.181229773462782%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.85617597292724%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 18-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e3.45\u003c/p\u003e\n \u003cp\u003e(2.50-4.76)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e0.73\u003c/p\u003e\n \u003cp\u003e(0.31-1.71)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e0.44\u003c/p\u003e\n \u003cp\u003e(0.17-1.14)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.614213197969543%\" valign=\"top\"\u003e\n \u003cp\u003e0.46\u003c/p\u003e\n \u003cp\u003e(0.02-7.54)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e0.32\u003c/p\u003e\n \u003cp\u003e(0.07-1.35)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e1.56\u003c/p\u003e\n \u003cp\u003e(0.06-38.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.629441624365482%\" valign=\"top\"\u003e\n \u003cp\u003e0.77\u003c/p\u003e\n \u003cp\u003e(0.16-3.50)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.29103214890017%\" valign=\"top\"\u003e\n \u003cp\u003e14.0\u003c/p\u003e\n \u003cp\u003e(0.12-163.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.85617597292724%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 30-39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e1.90**\u003c/p\u003e\n \u003cp\u003e(1.37-2.63)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e0.63\u003c/p\u003e\n \u003cp\u003e(0.30-1.32)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e0.67\u003c/p\u003e\n \u003cp\u003e(0.25-1.80)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.614213197969543%\" valign=\"top\"\u003e\n \u003cp\u003e1.43\u003c/p\u003e\n \u003cp\u003e(0.10-19.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e0.44\u003c/p\u003e\n \u003cp\u003e(0.10-1.97)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e1.34\u003c/p\u003e\n \u003cp\u003e(0.06-26.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.629441624365482%\" valign=\"top\"\u003e\n \u003cp\u003e0.89\u003c/p\u003e\n \u003cp\u003e(0.18-4.36)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.29103214890017%\" valign=\"top\"\u003e\n \u003cp\u003e4.45\u003c/p\u003e\n \u003cp\u003e(0.05-366.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.85617597292724%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 40-49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e1.69**\u003c/p\u003e\n \u003cp\u003e(1.19-2.38)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e1.16\u003c/p\u003e\n \u003cp\u003e(0.64-2.08)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e2.13\u003c/p\u003e\n \u003cp\u003e(0.61-7.45)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.614213197969543%\" valign=\"top\"\u003e\n \u003cp\u003e2.07\u003c/p\u003e\n \u003cp\u003e(0.21-19.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e0.59\u003c/p\u003e\n \u003cp\u003e(0.12-2.89)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e0.57\u003c/p\u003e\n \u003cp\u003e(0.05-5.64)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.629441624365482%\" valign=\"top\"\u003e\n \u003cp\u003e1.40\u003c/p\u003e\n \u003cp\u003e(0.23-8.48)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.29103214890017%\" valign=\"top\"\u003e\n \u003cp\u003e1.32\u003c/p\u003e\n \u003cp\u003e(0.09-19.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.85617597292724%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026ge;50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.614213197969543%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.629441624365482%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.29103214890017%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"51.099830795262264%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCurrent residence\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.736040609137056%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.243654822335024%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.920473773265652%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.85617597292724%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Urban\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e2.21**\u003c/p\u003e\n \u003cp\u003e(1.81-2.69)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e1.79**\u003c/p\u003e\n \u003cp\u003e(1.43-2.23)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e1.90*\u003c/p\u003e\n \u003cp\u003e(1.53-2.19)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.614213197969543%\" valign=\"top\"\u003e\n \u003cp\u003e1.74*\u003c/p\u003e\n \u003cp\u003e(1.21-1.96)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e0.96\u003c/p\u003e\n \u003cp\u003e(0.50-1.83)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e0.87\u003c/p\u003e\n \u003cp\u003e(0.43-1.76)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.629441624365482%\" valign=\"top\"\u003e\n \u003cp\u003e1.73\u003c/p\u003e\n \u003cp\u003e(0.74-4.02)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.29103214890017%\" valign=\"top\"\u003e\n \u003cp\u003e1.43\u003c/p\u003e\n \u003cp\u003e(0.56-3.64)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.85617597292724%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Rural\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.614213197969543%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.629441624365482%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.29103214890017%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"51.099830795262264%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eEducational status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.736040609137056%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.243654822335024%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.920473773265652%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.85617597292724%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Bachelor (MBBS) or lower degree\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e8.24**\u003c/p\u003e\n \u003cp\u003e(1.64-41.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e5.67*\u003c/p\u003e\n \u003cp\u003e(1.49-32.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.614213197969543%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e4.82\u003c/p\u003e\n \u003cp\u003e(0.56-41.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e12.0\u003c/p\u003e\n \u003cp\u003e(0.87-166.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.629441624365482%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.29103214890017%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.85617597292724%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Post-graduate degree\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e4.32\u003c/p\u003e\n \u003cp\u003e(0.86-21.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e3.21\u003c/p\u003e\n \u003cp\u003e(0.57-17.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.614213197969543%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e5.28\u003c/p\u003e\n \u003cp\u003e(0.62-44.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e6.84\u003c/p\u003e\n \u003cp\u003e(0.52-89.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.629441624365482%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.29103214890017%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.85617597292724%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Doctoral degree\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e2.87\u003c/p\u003e\n \u003cp\u003e(0.57-14.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e3.26\u003c/p\u003e\n \u003cp\u003e(0.57-18.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.614213197969543%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e18.3**\u003c/p\u003e\n \u003cp\u003e(1.69-198.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e20.1*\u003c/p\u003e\n \u003cp\u003e(1.14-354.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.629441624365482%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.29103214890017%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.85617597292724%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Other\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.614213197969543%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.629441624365482%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.29103214890017%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"51.099830795262264%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMarital status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.736040609137056%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.243654822335024%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.920473773265652%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.85617597292724%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Single\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e2.42\u003c/p\u003e\n \u003cp\u003e(1.74-3.36)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e1.58*\u003c/p\u003e\n \u003cp\u003e(1.15-1.80)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e0.86\u003c/p\u003e\n \u003cp\u003e(0.36-2.03)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.614213197969543%\" valign=\"top\"\u003e\n \u003cp\u003e6.10**\u003c/p\u003e\n \u003cp\u003e(1.45-25.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e0.43\u003c/p\u003e\n \u003cp\u003e(0.12-1.49)\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e0.86\u003c/p\u003e\n \u003cp\u003e(0.15-4.93)\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.629441624365482%\" valign=\"top\"\u003e\n \u003cp\u003e0.59\u003c/p\u003e\n \u003cp\u003e(0.12-2.72)\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.29103214890017%\" valign=\"top\"\u003e\n \u003cp\u003e0.91\u003c/p\u003e\n \u003cp\u003e(0.07-10.8)\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.85617597292724%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Married\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e1.08\u003c/p\u003e\n \u003cp\u003e(0.80-1.46)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e0.81\u003c/p\u003e\n \u003cp\u003e(0.56-1.18)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e0.87\u003c/p\u003e\n \u003cp\u003e(0.38-1.95)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.614213197969543%\" valign=\"top\"\u003e\n \u003cp\u003e3.15\u003c/p\u003e\n \u003cp\u003e(0.92-10.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e0.68\u003c/p\u003e\n \u003cp\u003e(0.20-2.29)\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e1.12\u003c/p\u003e\n \u003cp\u003e(0.26-4.68)\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.629441624365482%\" valign=\"top\"\u003e\n \u003cp\u003e1.09\u003c/p\u003e\n \u003cp\u003e(0.24-4.97)\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.29103214890017%\" valign=\"top\"\u003e\n \u003cp\u003e1.73\u003c/p\u003e\n \u003cp\u003e(0.26-11.4)\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.85617597292724%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Divorced/Separated/Widowed\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.614213197969543%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.629441624365482%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.29103214890017%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3\u003c/strong\u003e Factors associated with mental health problems, suicidal ideation, suicide plans, and suicide attempts of the study participants (continued).\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"1236\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.14470493128537%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.521422797089734%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMental health problems\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.2934518997574778%\" colspan=\"2\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.440582053354891%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicidal ideation\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.2934518997574778%\" colspan=\"2\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.602263540824575%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicide plan\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.2934518997574778%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.410670978173%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicide attempt\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.195121951219512%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.45186136071887%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.70860077021823%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.938382541720154%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.32349165596919%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.32349165596919%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.478818998716303%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.58023106546855%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"48.6661277283751%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSocio-economic status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.2934518997574778%\" colspan=\"2\" rowspan=\"16\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.440582053354891%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.2934518997574778%\" colspan=\"2\" rowspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.602263540824575%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.2934518997574778%\" rowspan=\"19\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.410670978173%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48275862068966%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Lower class\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.9899074852817495%\" valign=\"top\"\u003e\n \u003cp\u003e2.42**\u003c/p\u003e\n \u003cp\u003e(1.81-3.23)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.15811606391926%\" valign=\"top\"\u003e\n \u003cp\u003e1.57**\u003c/p\u003e\n \u003cp\u003e(1.11-2.21)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.32632464255677%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e4.14**\u003c/p\u003e\n \u003cp\u003e(2.26-7.60)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.821698906644239%\" valign=\"top\"\u003e\n \u003cp\u003e6.43**\u003c/p\u003e\n \u003cp\u003e(3.08-13.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074011774600505%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e0.39\u003c/p\u003e\n \u003cp\u003e(0.13-1.16)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074011774600505%\" valign=\"top\"\u003e\n \u003cp\u003e0.44\u003c/p\u003e\n \u003cp\u003e(0.13-1.43)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.830950378469302%\" valign=\"top\"\u003e\n \u003cp\u003e0.57\u003c/p\u003e\n \u003cp\u003e(0.11-2.78)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.242220353238014%\" valign=\"top\"\u003e\n \u003cp\u003e0.48\u003c/p\u003e\n \u003cp\u003e(0.08-2.63)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48275862068966%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Middle class\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.9899074852817495%\" valign=\"top\"\u003e\n \u003cp\u003e1.64**\u003c/p\u003e\n \u003cp\u003e(1.27-2.12)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.15811606391926%\" valign=\"top\"\u003e\n \u003cp\u003e1.44**\u003c/p\u003e\n \u003cp\u003e(1.07-1.92)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.32632464255677%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e4.59**\u003c/p\u003e\n \u003cp\u003e(2.74-7.70)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.821698906644239%\" valign=\"top\"\u003e\n \u003cp\u003e5.44**\u003c/p\u003e\n \u003cp\u003e(2.92-10.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074011774600505%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e0.62\u003c/p\u003e\n \u003cp\u003e(0.21-1.81)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074011774600505%\" valign=\"top\"\u003e\n \u003cp\u003e0.60\u003c/p\u003e\n \u003cp\u003e(0.20-1.84)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.830950378469302%\" valign=\"top\"\u003e\n \u003cp\u003e0.56\u003c/p\u003e\n \u003cp\u003e(0.12-2.47)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.242220353238014%\" valign=\"top\"\u003e\n \u003cp\u003e0.45\u003c/p\u003e\n \u003cp\u003e(0.09-2.14)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48275862068966%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Upper class\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.9899074852817495%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.15811606391926%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.32632464255677%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.821698906644239%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074011774600505%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074011774600505%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.830950378469302%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.242220353238014%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"49.95850622406639%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eLiving with family\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.850622406639005%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.3278008298755186%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.016597510373444%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.846473029045644%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.024896265560166%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.8838174273858925%\" valign=\"top\"\u003e\n \u003cp\u003e0.43**\u003c/p\u003e\n \u003cp\u003e(0.35-0.52)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.049792531120332%\" valign=\"top\"\u003e\n \u003cp\u003e0.64**\u003c/p\u003e\n \u003cp\u003e(0.50-0.82)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.215767634854771%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e0.39**\u003c/p\u003e\n \u003cp\u003e(0.22-0.69)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.717842323651452%\" valign=\"top\"\u003e\n \u003cp\u003e0.31**\u003c/p\u003e\n \u003cp\u003e(0.16-0.58)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.3278008298755186%\" colspan=\"2\" rowspan=\"5\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.966804979253112%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e0.93\u003c/p\u003e\n \u003cp\u003e(0.52-1.68)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.966804979253112%\" valign=\"top\"\u003e\n \u003cp\u003e0.73\u003c/p\u003e\n \u003cp\u003e(0.36-1.47)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.71369294605809%\" valign=\"top\"\u003e\n \u003cp\u003e0.56\u003c/p\u003e\n \u003cp\u003e(0.22-1.44)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.132780082987551%\" valign=\"top\"\u003e\n \u003cp\u003e0.41\u003c/p\u003e\n \u003cp\u003e(0.14-1.21)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48275862068966%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.9899074852817495%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.15811606391926%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.32632464255677%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.821698906644239%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074011774600505%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074011774600505%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.830950378469302%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.242220353238014%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50.630782169890665%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eHaving children\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.063919259882255%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.232127838519766%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.073170731707318%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48275862068966%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.9899074852817495%\" valign=\"top\"\u003e\n \u003cp\u003e0.54**\u003c/p\u003e\n \u003cp\u003e(0.45-0.77)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.15811606391926%\" valign=\"top\"\u003e\n \u003cp\u003e0.31**\u003c/p\u003e\n \u003cp\u003e(0.11-0.87)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.32632464255677%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e1.67*\u003c/p\u003e\n \u003cp\u003e(1.05-2.65)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.821698906644239%\" valign=\"top\"\u003e\n \u003cp\u003e0.47\u003c/p\u003e\n \u003cp\u003e(0.18-1.18)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074011774600505%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e1.42\u003c/p\u003e\n \u003cp\u003e(0.80-2.53)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074011774600505%\" valign=\"top\"\u003e\n \u003cp\u003e0.41\u003c/p\u003e\n \u003cp\u003e(0.13-1.25)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.830950378469302%\" valign=\"top\"\u003e\n \u003cp\u003e1.66\u003c/p\u003e\n \u003cp\u003e(0.71-3.85)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.242220353238014%\" valign=\"top\"\u003e\n \u003cp\u003e0.95\u003c/p\u003e\n \u003cp\u003e(0.20-4.49)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48275862068966%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; No\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.9899074852817495%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.15811606391926%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.32632464255677%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.821698906644239%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074011774600505%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074011774600505%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.830950378469302%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.242220353238014%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"49.95850622406639%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eProfession\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.850622406639005%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.3278008298755186%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.016597510373444%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.846473029045644%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.024896265560166%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Doctor\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.8838174273858925%\" valign=\"top\"\u003e\n \u003cp\u003e0.63**\u003c/p\u003e\n \u003cp\u003e(0.50-0.79)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.049792531120332%\" valign=\"top\"\u003e\n \u003cp\u003e0.57**\u003c/p\u003e\n \u003cp\u003e(0.43-0.75)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.215767634854771%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e0.56\u003c/p\u003e\n \u003cp\u003e(0.30-1.07)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.717842323651452%\" valign=\"top\"\u003e\n \u003cp\u003e0.39\u003c/p\u003e\n \u003cp\u003e(0.18-0.83)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.3278008298755186%\" colspan=\"2\" rowspan=\"5\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.966804979253112%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e0.66\u003c/p\u003e\n \u003cp\u003e(0.31-1.43)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.966804979253112%\" valign=\"top\"\u003e\n \u003cp\u003e0.40\u003c/p\u003e\n \u003cp\u003e(0.16-0.95)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.71369294605809%\" valign=\"top\"\u003e\n \u003cp\u003e0.64\u003c/p\u003e\n \u003cp\u003e(0.21-1.99)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.132780082987551%\" valign=\"top\"\u003e\n \u003cp\u003e0.51\u003c/p\u003e\n \u003cp\u003e(0.14-1.79)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48275862068966%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Nurse\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.9899074852817495%\" valign=\"top\"\u003e\n \u003cp\u003e0.66*\u003c/p\u003e\n \u003cp\u003e(0.46-0.94)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.15811606391926%\" valign=\"top\"\u003e\n \u003cp\u003e0.50**\u003c/p\u003e\n \u003cp\u003e(0.33-0.75)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.32632464255677%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e0.32**\u003c/p\u003e\n \u003cp\u003e(0.14-0.72)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.821698906644239%\" valign=\"top\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003cp\u003e(0.09-0.66)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074011774600505%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e1.38\u003c/p\u003e\n \u003cp\u003e(0.30-6.29)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074011774600505%\" valign=\"top\"\u003e\n \u003cp\u003e1.12\u003c/p\u003e\n \u003cp\u003e(0.22-5.62)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.830950378469302%\" valign=\"top\"\u003e\n \u003cp\u003e0.62\u003c/p\u003e\n \u003cp\u003e(0.12-3.23)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.242220353238014%\" valign=\"top\"\u003e\n \u003cp\u003e0.72\u003c/p\u003e\n \u003cp\u003e(0.11-4.68)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48275862068966%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Medical technician\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.9899074852817495%\" valign=\"top\"\u003e\n \u003cp\u003e0.70*\u003c/p\u003e\n \u003cp\u003e(0.52-0.95)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.15811606391926%\" valign=\"top\"\u003e\n \u003cp\u003e0.53**\u003c/p\u003e\n \u003cp\u003e(0.38-0.75)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.32632464255677%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e0.47*\u003c/p\u003e\n \u003cp\u003e(0.21-1.02)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.821698906644239%\" valign=\"top\"\u003e\n \u003cp\u003e0.46*\u003c/p\u003e\n \u003cp\u003e(0.19-0.92)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074011774600505%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e0.41*\u003c/p\u003e\n \u003cp\u003e(0.17-0.99)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074011774600505%\" valign=\"top\"\u003e\n \u003cp\u003e0.30**\u003c/p\u003e\n \u003cp\u003e(0.11-0.78)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.830950378469302%\" valign=\"top\"\u003e\n \u003cp\u003e0.31\u003c/p\u003e\n \u003cp\u003e(0.09-1.05)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.242220353238014%\" valign=\"top\"\u003e\n \u003cp\u003e0.35\u003c/p\u003e\n \u003cp\u003e(0.09-1.34)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48275862068966%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Hospital workers\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.9899074852817495%\" valign=\"top\"\u003e\n \u003cp\u003e0.63**\u003c/p\u003e\n \u003cp\u003e(0.47-0.83)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.15811606391926%\" valign=\"top\"\u003e\n \u003cp\u003e0.48**\u003c/p\u003e\n \u003cp\u003e(0.35-0.66)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.32632464255677%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e0.50\u003c/p\u003e\n \u003cp\u003e(0.24-1.05)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.821698906644239%\" valign=\"top\"\u003e\n \u003cp\u003e0.42*\u003c/p\u003e\n \u003cp\u003e(0.18-0.99)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074011774600505%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e0.57\u003c/p\u003e\n \u003cp\u003e(0.23-1.41)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074011774600505%\" valign=\"top\"\u003e\n \u003cp\u003e0.53\u003c/p\u003e\n \u003cp\u003e(0.20-1.40)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.830950378469302%\" valign=\"top\"\u003e\n \u003cp\u003e1.20\u003c/p\u003e\n \u003cp\u003e(0.23-6.22)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.242220353238014%\" valign=\"top\"\u003e\n \u003cp\u003e1.52\u003c/p\u003e\n \u003cp\u003e(0.27-8.63)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.48275862068966%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Other\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.9899074852817495%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.15811606391926%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.32632464255677%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.821698906644239%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074011774600505%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.074011774600505%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.830950378469302%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.242220353238014%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"49.34426229508197%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eTypes of jobs\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.3114754098360655%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.655737704918034%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.3114754098360655%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.737704918032787%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.639344262295083%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.57903357903358%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Frontline\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.78050778050778%\" valign=\"top\"\u003e\n \u003cp\u003e0.66**\u003c/p\u003e\n \u003cp\u003e(0.55-0.79)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.944307944307944%\" valign=\"top\"\u003e\n \u003cp\u003e1.47**\u003c/p\u003e\n \u003cp\u003e(1.16-1.65)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.3104013104013104%\" colspan=\"2\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.108108108108109%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e0.97\u003c/p\u003e\n \u003cp\u003e(0.62-1.54)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.616707616707616%\" valign=\"top\"\u003e\n \u003cp\u003e1.27**\u003c/p\u003e\n \u003cp\u003e(1.08-1.59)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.3104013104013104%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.862407862407863%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e0.48*\u003c/p\u003e\n \u003cp\u003e(0.25-0.90)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.862407862407863%\" valign=\"top\"\u003e\n \u003cp\u003e1.29*\u003c/p\u003e\n \u003cp\u003e(1.06-1.74)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.5995085995086%\" valign=\"top\"\u003e\n \u003cp\u003e0.65\u003c/p\u003e\n \u003cp\u003e(0.27-1.55)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.026208026208026%\" valign=\"top\"\u003e\n \u003cp\u003e1.37*\u003c/p\u003e\n \u003cp\u003e(1.09-1.82)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.024896265560166%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Second-line\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.8838174273858925%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.049792531120332%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.215767634854771%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.717842323651452%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.3278008298755186%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.966804979253112%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.966804979253112%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.71369294605809%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.132780082987551%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3\u003c/strong\u003e Factors associated with mental health problems, suicidal ideation, suicide plans, and suicide attempts of the study participants (continued).\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"1236\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.14470493128537%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.521422797089734%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMental health problems\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4551333872271626%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.198059822150364%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicidal ideation\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4551333872271626%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.602263540824575%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicide plan\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4551333872271626%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.168148746968473%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicide attempt\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.419146183699871%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.419146183699871%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.419146183699871%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.772315653298836%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.419146183699871%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.548512289780078%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.32470892626132%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.677878395860285%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"48.6661277283751%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eJob titles\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4551333872271626%\" rowspan=\"14\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.198059822150364%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4551333872271626%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.602263540824575%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4551333872271626%\" rowspan=\"19\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.168148746968473%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.138218151540386%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Senior\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.993338884263114%\" valign=\"top\"\u003e\n \u003cp\u003e6.38\u003c/p\u003e\n \u003cp\u003e(0.80-50.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.993338884263114%\" valign=\"top\"\u003e\n \u003cp\u003e4.95\u003c/p\u003e\n \u003cp\u003e(0.60-40.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.993338884263114%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.577019150707743%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4987510407993339%\" rowspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.993338884263114%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.076602830974188%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.576186511240634%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.159866777685263%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.65765004226542%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Intermediate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e12.9**\u003c/p\u003e\n \u003cp\u003e(1.65-102.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e12.6**\u003c/p\u003e\n \u003cp\u003e(1.53-104.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.6923076923076925%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.19949281487743%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.706677937447168%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.284023668639053%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.65765004226542%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Junior\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e23.4**\u003c/p\u003e\n \u003cp\u003e(2.98-184.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e17.3**\u003c/p\u003e\n \u003cp\u003e(2.05-146.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.6923076923076925%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.19949281487743%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.706677937447168%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.284023668639053%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.65765004226542%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;New\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e20.5**\u003c/p\u003e\n \u003cp\u003e(2.60-162.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e9.85*\u003c/p\u003e\n \u003cp\u003e(1.14-84.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.6923076923076925%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.19949281487743%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.706677937447168%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.284023668639053%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.138218151540386%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Other\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.993338884263114%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.993338884263114%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.993338884263114%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.577019150707743%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4987510407993339%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.993338884263114%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.076602830974188%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.576186511240634%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.159866777685263%\" valign=\"top\"\u003e\n \u003cp\u003e_\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50.12489592006661%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eJob experiences (years)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.653621981681932%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4987510407993339%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.069941715237302%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.65278934221482%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.65765004226542%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026le;5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e3.10**\u003c/p\u003e\n \u003cp\u003e(2.31-4.17)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e1.84**\u003c/p\u003e\n \u003cp\u003e(1.07-2.86)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e0.40*\u003c/p\u003e\n \u003cp\u003e(0.15-0.95)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.6923076923076925%\" valign=\"top\"\u003e\n \u003cp\u003e0.22*\u003c/p\u003e\n \u003cp\u003e(0.05-0.86)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e0.37\u003c/p\u003e\n \u003cp\u003e(0.11-1.21)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.19949281487743%\" valign=\"top\"\u003e\n \u003cp\u003e0.92\u003c/p\u003e\n \u003cp\u003e(0.04-18.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.706677937447168%\" valign=\"top\"\u003e\n \u003cp\u003e0.58\u003c/p\u003e\n \u003cp\u003e(0.13-2.57)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.284023668639053%\" valign=\"top\"\u003e\n \u003cp\u003e2.42\u003c/p\u003e\n \u003cp\u003e(0.01-362.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.65765004226542%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;6-10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e1.53**\u003c/p\u003e\n \u003cp\u003e(1.10-2.13)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e0.78\u003c/p\u003e\n \u003cp\u003e(0.36-1.69)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e0.52\u003c/p\u003e\n \u003cp\u003e(0.18-1.44)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.6923076923076925%\" valign=\"top\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003cp\u003e(0.01-2.37)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e1.02\u003c/p\u003e\n \u003cp\u003e(0.24-4.31)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.19949281487743%\" valign=\"top\"\u003e\n \u003cp\u003e3.03\u003c/p\u003e\n \u003cp\u003e(0.16-56.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.706677937447168%\" valign=\"top\"\u003e\n \u003cp\u003e1.13\u003c/p\u003e\n \u003cp\u003e(0.18-6.84)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.284023668639053%\" valign=\"top\"\u003e\n \u003cp\u003e3.84\u003c/p\u003e\n \u003cp\u003e(0.02-510.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.138218151540386%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;11-19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.993338884263114%\" valign=\"top\"\u003e\n \u003cp\u003e1.31\u003c/p\u003e\n \u003cp\u003e(0.95-1.82)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.993338884263114%\" valign=\"top\"\u003e\n \u003cp\u003e0.61\u003c/p\u003e\n \u003cp\u003e(0.33-1.10)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.993338884263114%\" valign=\"top\"\u003e\n \u003cp\u003e1.88\u003c/p\u003e\n \u003cp\u003e(0.54-6.59)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.577019150707743%\" valign=\"top\"\u003e\n \u003cp\u003e0.83\u003c/p\u003e\n \u003cp\u003e(0.08-8.63)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4987510407993339%\" rowspan=\"10\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.993338884263114%\" valign=\"top\"\u003e\n \u003cp\u003e0.93\u003c/p\u003e\n \u003cp\u003e(0.23-3.76)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.076602830974188%\" valign=\"top\"\u003e\n \u003cp\u003e2.97\u003c/p\u003e\n \u003cp\u003e(0.38-23.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.576186511240634%\" valign=\"top\"\u003e\n \u003cp\u003e1.24\u003c/p\u003e\n \u003cp\u003e(0.20-7.52)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.159866777685263%\" valign=\"top\"\u003e\n \u003cp\u003e2.37\u003c/p\u003e\n \u003cp\u003e(0.15-35.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.65765004226542%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026ge;20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.6923076923076925%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.19949281487743%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.706677937447168%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.284023668639053%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50.887573964497044%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePhysical exercise\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.891800507185122%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.314454775993237%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.9061707523246%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.65765004226542%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e0.55**\u003c/p\u003e\n \u003cp\u003e(0.46-0.79)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e0.80**\u003c/p\u003e\n \u003cp\u003e(0.63-1.00)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e0.63*\u003c/p\u003e\n \u003cp\u003e(0.29-0.91)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.6923076923076925%\" valign=\"top\"\u003e\n \u003cp\u003e0.74**\u003c/p\u003e\n \u003cp\u003e(0.12-0.97)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e1.28\u003c/p\u003e\n \u003cp\u003e(0.70-2.35)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.19949281487743%\" valign=\"top\"\u003e\n \u003cp\u003e1.25\u003c/p\u003e\n \u003cp\u003e(0.62-2.53)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.706677937447168%\" valign=\"top\"\u003e\n \u003cp\u003e1.42\u003c/p\u003e\n \u003cp\u003e(0.58-3.47)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.284023668639053%\" valign=\"top\"\u003e\n \u003cp\u003e1.68\u003c/p\u003e\n \u003cp\u003e(0.62-4.59)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.65765004226542%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; No\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.6923076923076925%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.19949281487743%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.706677937447168%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.284023668639053%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50.12489592006661%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eComorbidity status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4987510407993339%\" rowspan=\"5\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.653621981681932%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.069941715237302%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.65278934221482%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.65765004226542%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e1.11\u003c/p\u003e\n \u003cp\u003e(0.92-1.35)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e0.86\u003c/p\u003e\n \u003cp\u003e(0.50-1.48)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e1.38**\u003c/p\u003e\n \u003cp\u003e(1.04-1.59)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.6923076923076925%\" valign=\"top\"\u003e\n \u003cp\u003e3.22*\u003c/p\u003e\n \u003cp\u003e(1.19-8.69)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e1.31**\u003c/p\u003e\n \u003cp\u003e(1.06-1.56)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.19949281487743%\" valign=\"top\"\u003e\n \u003cp\u003e2.55*\u003c/p\u003e\n \u003cp\u003e(1.60-10.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.706677937447168%\" valign=\"top\"\u003e\n \u003cp\u003e1.29**\u003c/p\u003e\n \u003cp\u003e(1.03-1.69)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.284023668639053%\" valign=\"top\"\u003e\n \u003cp\u003e3.63*\u003c/p\u003e\n \u003cp\u003e(1.61-13.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.65765004226542%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; No\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.6923076923076925%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.19949281487743%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.706677937447168%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.284023668639053%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50.887573964497044%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSmoking habit\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.891800507185122%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.314454775993237%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.9061707523246%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.65765004226542%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e1.16\u003c/p\u003e\n \u003cp\u003e(0.96-1.41)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e1.12\u003c/p\u003e\n \u003cp\u003e(0.64-1.94)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e0.26**\u003c/p\u003e\n \u003cp\u003e(0.16-0.41)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.6923076923076925%\" valign=\"top\"\u003e\n \u003cp\u003e1.21**\u003c/p\u003e\n \u003cp\u003e(1.04-1.56)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.114961961115807%\" valign=\"top\"\u003e\n \u003cp\u003e1.25**\u003c/p\u003e\n \u003cp\u003e(1.08-1.45)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.19949281487743%\" valign=\"top\"\u003e\n \u003cp\u003e2.10**\u003c/p\u003e\n \u003cp\u003e(1.41-2.46)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.706677937447168%\" valign=\"top\"\u003e\n \u003cp\u003e0.19**\u003c/p\u003e\n \u003cp\u003e(0.07-0.47)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.284023668639053%\" valign=\"top\"\u003e\n \u003cp\u003e1.56**\u003c/p\u003e\n \u003cp\u003e(1.02-1.88)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3\u003c/strong\u003e Factors associated with mental health problems, suicidal ideation, suicide plans, and suicide attempts of the study participants (continued).\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"1236\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.333333333333336%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.533980582524272%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMental health problems\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4563106796116505%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.048543689320388%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicidal ideation\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4563106796116505%\" colspan=\"2\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.533980582524272%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicide plan\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4563106796116505%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.181229773462782%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuicide attempt\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.467532467532468%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.467532467532468%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.467532467532468%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.688311688311689%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.467532467532468%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.467532467532468%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.376623376623376%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.597402597402597%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAOR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.333333333333336%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.766990291262136%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.766990291262136%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4563106796116505%\" rowspan=\"10\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.766990291262136%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.281553398058253%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4563106796116505%\" colspan=\"2\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.766990291262136%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.766990291262136%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4563106796116505%\" rowspan=\"10\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.333333333333334%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.84789644012945%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"51.099830795262264%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eProviding direct service to infected patients\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.736040609137056%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.243654822335024%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.920473773265652%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.85617597292724%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e0.89\u003c/p\u003e\n \u003cp\u003e(0.74-1.07)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e1.32\u003c/p\u003e\n \u003cp\u003e(0.94-1.85)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e2.01**\u003c/p\u003e\n \u003cp\u003e(1.26-3.18)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.614213197969543%\" valign=\"top\"\u003e\n \u003cp\u003e4.25**\u003c/p\u003e\n \u003cp\u003e(2.01-8.99)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e0.72\u003c/p\u003e\n \u003cp\u003e(0.40-1.31)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e1.29\u003c/p\u003e\n \u003cp\u003e(0.52-3.20)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.71404399323181%\" valign=\"top\"\u003e\n \u003cp\u003e0.97\u003c/p\u003e\n \u003cp\u003e(0.42-2.22)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.20642978003384%\" valign=\"top\"\u003e\n \u003cp\u003e1.79\u003c/p\u003e\n \u003cp\u003e(0.51-6.24)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.333333333333336%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.5%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.5%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.583333333333334%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.083333333333334%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50.333333333333336%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePersonal COVID-19 infection\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.5%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.5%\" colspan=\"2\" rowspan=\"5\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.85617597292724%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e1.57**\u003c/p\u003e\n \u003cp\u003e(1.29-1.90)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e1.66**\u003c/p\u003e\n \u003cp\u003e(1.34-2.08)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e1.06\u003c/p\u003e\n \u003cp\u003e(0.65-1.71)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.614213197969543%\" valign=\"top\"\u003e\n \u003cp\u003e0.91\u003c/p\u003e\n \u003cp\u003e(0.53-1.59)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e0.89\u003c/p\u003e\n \u003cp\u003e(0.49-1.60)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e1.00\u003c/p\u003e\n \u003cp\u003e(0.52-1.92)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.71404399323181%\" valign=\"top\"\u003e\n \u003cp\u003e0.67\u003c/p\u003e\n \u003cp\u003e(0.29-1.54)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.20642978003384%\" valign=\"top\"\u003e\n \u003cp\u003e0.70\u003c/p\u003e\n \u003cp\u003e(0.28-1.76)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.85617597292724%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.614213197969543%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.71404399323181%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.20642978003384%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"51.099830795262264%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFamily and friend COVID-19 infection\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.736040609137056%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.243654822335024%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.920473773265652%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.85617597292724%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e0.75**\u003c/p\u003e\n \u003cp\u003e(0.63-0.90)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e0.63**\u003c/p\u003e\n \u003cp\u003e(0.51-0.78)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e0.86\u003c/p\u003e\n \u003cp\u003e(0.55-1.35)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.614213197969543%\" valign=\"top\"\u003e\n \u003cp\u003e0.96\u003c/p\u003e\n \u003cp\u003e(0.55-1.65)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e0.83\u003c/p\u003e\n \u003cp\u003e(0.47-1.47)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.121827411167512%\" valign=\"top\"\u003e\n \u003cp\u003e0.72\u003c/p\u003e\n \u003cp\u003e(0.37-1.38)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.71404399323181%\" valign=\"top\"\u003e\n \u003cp\u003e0.87\u003c/p\u003e\n \u003cp\u003e(0.38-2.00)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.20642978003384%\" valign=\"top\"\u003e\n \u003cp\u003e0.74\u003c/p\u003e\n \u003cp\u003e(0.28-1.93)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.333333333333336%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.5%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.5%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.583333333333334%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.083333333333334%\" valign=\"top\"\u003e\n \u003cp\u003eReference\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cem\u003e*P \u0026le;0.05; **P \u0026le; 0.01.\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eCOR, Crude odds ratio; AOR, Adjusted odds ratio; CI, Confidence interval.\u003c/em\u003e\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Bangladesh, COVID-19 pandemic, Health care workers, Mental health, Suicidality","lastPublishedDoi":"10.21203/rs.3.rs-3857345/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3857345/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eThe coronavirus 2019 (COVID-19) cases and death tolls in Bangladesh are still rising a year after the pandemic began. However, no published data is available on mental health status and suicidality among Bangladeshi healthcare workers (HCWs) after a year of the pandemic. This study aimed to investigate the mental health status and suicidality among Bangladeshi HCWs after a year of the COVID-19 pandemic.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eA cross-sectional nationwide multicentre survey was conducted in Bangladesh from March 8 to July 2, 2021. This study used the Bangla versions of the General Health Questionnaire (GHQ-12) and three COVID-19-related suicidality questions to assess mental health status and suicidality.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eThe questionnaire was completed by a total of 2,047 HCWs from Bangladesh. The study findings indicate that the prevalence rates of mental health disorders, suicidal ideation, suicide plans, and suicide attempts were 38.6%, 3.9%, 2.4%, and 1.1%, respectively. The multivariate analysis revealed that participants who lived in urban areas with lower socioeconomic status and were single were significantly more likely to experience mental health problems and suicidal ideation. Respondents who lived with family had a significantly lower chance of experiencing mental health problems and suicidal ideation. Moreover, respondents who worked as frontline workers were significantly more likely to suffer from mental health problems, suicidal ideation, suicide plans, and suicide attempts. Moreover, it was observed that those with fewer than five years of professional experience had a considerably elevated likelihood of encountering mental health issues, while concurrently displaying a diminished probability of experiencing thoughts of suicide. In addition, respondents who exercised daily had a considerably lower risk of mental health problems and suicidal ideation.\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e \u003cp\u003eThe enduring impact of the COVID-19 pandemic on the mental well-being of HCWs in Bangladesh continues to be substantial, with a notable prevalence of mental health issues and suicidal tendencies. Based on identified factors, this study recommends formulating effective strategies, timely psychological support, and interventions to mitigate mental health problems and suicidality in HCWs.\u003c/p\u003e","manuscriptTitle":"Mental Health Status and Suicidality Among Bangladeshi Health Care Workers: A Year After the COVID-19 Pandemic","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-01-18 15:31:39","doi":"10.21203/rs.3.rs-3857345/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"ad031e0f-6962-4187-bc4f-874736e952b6","owner":[],"postedDate":"January 18th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-05-15T06:27:58+00:00","versionOfRecord":[],"versionCreatedAt":"2024-01-18 15:31:39","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-3857345","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3857345","identity":"rs-3857345","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}