Violence against Housemaids and associated factors in Jimma Town, Southwest Ethiopia, 2023: a mixed-method study

Violence against Housemaids and associated factors in Jimma Town, Southwest Ethiopia, 2023: a mixed-method study | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Short Report Violence against Housemaids and associated factors in Jimma Town, Southwest Ethiopia, 2023: a mixed-method study Hiwot Aynalem, Misra Abdulahi, Tujuba Diribsa, Esayas Tadele This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4536485/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 30 Sep, 2025 Read the published version in BMC Research Notes → Version 1 posted 4 You are reading this latest preprint version Abstract Background Violence against women is a pervasive public health problem that remains hidden and largely underreported. Although all women are vulnerable to violence, the probability of experiencing violence against housemaids seems to be particularly high. However, evidence on the prevalence of violence against housemaids and associated factors is scarce. Objectives To assess the prevalence and factors associated with violence against housemaids in Jimma town, southwestern Ethiopia, in 2023. Methods Parallel sampling was used in a community-based mixed-methods study of 422 housemaids living in Jimma town. Simple random sampling was used to select participants. To collect the data, a questionnaire administered during a pretested structured interview was used. Qualitative data from fifteen in-depth interviews were collected using a semi-structured questionnaire. Quantitative data were collected using an open data kit and then exported to SPSS version 26. Bivariate analysis was performed to select candidate variables with P values < 0.25. Then, multivariable logistic regression was used to determine factors associated with P values less than 0.05 with their respective AORs and 95% CIs. Finally, a report was presented. Thematic analysis was performed using ATLASti software after the audio recordings were transcribed. Results The work lifetime prevalence of violence against housemaids was 61.7%. Violence against housemaids during their work lifetime was associated with having no formal education (AOR = 3.7; 95% CI: 1.22–11.33), having a duration of work greater than four years (AOR = 2.6; 95% CI:1.44–4.99), having two to four durations of work (AOR = 2.4; 95% CI:1.29–4.61), having a job by broker (AOR = 2.8; 95% CI:1.72–4.62), lacking a specific task (AOR = 1.8: 95% CI:1.07–2.90), no social support (AOR = 4.5; 95% CI:1.56–12.89), and having more than six families (AOR = 5.4; 95% CI,2.19–13.49). The qualitative findings also revealed that there was no legal work agreement. violence against housemaids Jimma town southwest Ethiopia Figures Figure 1 Figure 2 Figure 3 Figure 4 Introduction Violence against women is a main public health problem that affects the physical, sexual, mental, and social well-being of women[ 1 ]. Scholars have used several criteria to express common forms of violence: physical violence (slapping, hitting, kicking, and beating), sexual violence (forced intercourse and other forms of coerced sex), and psychological violence (intimidation and humiliation), which can be defined as the relationship between the perpetrator and victim intimate partner violence (IPV) and non-IPV [ 2 , 3 ]. Globally, all types of violence overlap in relationships and are significant public health problems, but the level and pattern of violence significantly vary among settings, cultures, and segments of the population [ 4 ]. The health consequences of violence include short- and long-term physical, mental, sexual, and reproductive health problems for women. This violence leads to high social and economic costs for women, their families, and societies [ 5 ]. It leads to stress, depression, loss of self-esteem, reluctance to join the wider world, and more severe psychological and physical problems [ 6 ]. Such violence can have fatal outcomes, such as homicide or suicide, injuries, unintended pregnancies, induced abortions, gynecological problems, and sexually transmitted infections, including HIV, miscarriage, stillbirth, preterm delivery, and low birth weight babies [ 5 ]. The women who are doing the homemaker service in the other’s house are known as domestic servants, domestic workers, or housemaids. Generally, women do these types of work for their own and familial livelihood [ 7 ]. Worldwide, 75.6 million domestic workers, 76.2%, are female, and 82% of the world’s domestic workers are in developing and emerging countries[ 8 ]. In Ethiopia, estimates from the Ministry of Labor and Social Affairs (MOLSA) show that 1.5% of women in the country are currently working as domestic workers [ 9 ]. Most housemaids in Ethiopia are young females [ 10 ]. Housemaids are the most vulnerable group for any of the forms of all types of violence, as they face the greatest obstacles to gaining protection and necessary services, and the dependence on employers for obtaining and retaining employment might facilitate exploitation. The working setup, such as domestic setup, lack of resting room, the time spent on work, and loneliness by itself, makes them vulnerable categories of workers [ 11 ]. Other social, cultural, and sometimes linguistic barriers faced by domestic workers and the limited knowledge of legislation seem to increase their vulnerability [ 12 ]. In particular, the movement of vulnerable women and young people with little education and few job skills increased, with a high proportion being housemaids [ 13 ]. Housemaids are a neglected population segment of the world, especially in developing countries, including Ethiopia [ 14 ]. According to the ILO, housemaids are the most vulnerable group of laborers to all forms of abuse and exploitation [ 15 ]. Globally, 75.6 million, Africa 3.8 million, and Ethiopia, over 248,600 people employed, are being exploited, and a quarter of all domestic workers are not afforded any legal rights at all [ 16 ]. Housemaids constitute 90.7% of the total domestic employment in Ethiopia, which is neglected by basic labor rights [ 17 ]. Therefore, this research attempted to provide information on the prevalence, causes, and consequences of violence against housemaids. For governmental organizations, NGOs serve as an input for evidence-based decision-making on promoting programs for better reproductive health care and addressing the information gap about factors associated with violence against housemaids, allowing clients and stakeholders to intervene in such aspects. Moreover, it will be useful for enhancing the existing limited body of knowledge and baseline data for researchers to conduct further studies on violence against housemaids. Methods and Materials Study area and period The study was conducted in Jimma town, southwest Ethiopia, from August 1–30/2023. Jimma town is the capital and administrative center of the Zone and is located 352 km south‒west of Addis Ababa. The town has a total population of 224,000, of whom males account for 112,896 females 111,104 according to the 2023GC Jimma zone health bureau population projection report. There are 42,742 households in the town. Because of the instability of the sector, it is difficult to obtain the exact number, but the town Labor and Social Affairs estimates that there are more than 11,500 housemaids in the town. Study design A community-based cross-sectional parallel mixed-methods study design was employed. A phenomenological qualitative study was conducted with key informants. Source population The study population included all randomly selected housemaids working in selected kebles using the census and those who lived at least six months. All the housemaids in the selected kebele in Jimma town were the source population. To reduce selection bias, housemaids who had been working live-out were excluded. For the qualitative part, fifteen in-depth interviews (IDIs) were conducted. All Housemaid Association leaders, health professionals, and women and social affairs representatives selected purposively were interviewed. Sample size determination The sample size was calculated by using EPI Info version 7.2.5.0 by considering different assumptions. To determine the prevalence of violence against housemaids, the sample size was determined by assuming a 50% prevalence of violence against housemaids (P = 0.50), a 95% confidence interval, a 5% margin of error, and a 10% nonresponse rate 422. For IDI, fifteen participants, including housemaid association leaders, health professionals, and women and social affairs representatives, were selected purposively and interviewed on the issue based on saturation of the information. Variables Violence against women (work lifetime): A housemaid was considered to have experienced lifetime violence against women if she reported at least one act of physical, psychological, or sexual violence at any point in her working lifetime [ 18 ]. Housemaids: Females who work at the household level [ 19 ]. Or any person engaged in domestic work within an employment relationship [ 20 ]. Workplace: The workplace includes any place where work is carried out (e.g., office, site, factory, or shop), including the home [ 21 ]. Measurements Physical violence: If the participant replied “yes” to one of the following questions: slapping or throwing something at the woman that could hurt her, pushing or shoving, hitting with a fist or something else that could hurt, kicking, dragging or beating, choking or burning on purpose, and/or threatening with, or actually having a gun, knife or other weapon used on the victim [ 22 , 23 ], she was considered to have experienced physical violence. Psychological violence: If the participant replied “yes” to one of the following questions: insulting or making to feel bad about herself, belittling or humiliating her in front of other people, or doing things to scare or threaten her on purpose [ 22 , 23 ], she was considered to have experienced psychological violence. Sexual violence: If the participant replied “yes” to one of the following questions: “Faced with unwelcome Touch sexually (e.g., on breasts, genitalia, kissing, etc.), verbal jocks, Comments; or made you something that you didn’t, forced to have sex that you have escaped, sexual intercourse forcefully or by any means that you didn’t want to or against your interest [ 24 ], she was considered to have experienced sexual violence. Substance use: This study referred to the respondent's use of at least one of the substances (alcohol, chat, cigarettes) in an individual’s lifetime to alter mood or behavior [ 25 ]. Social support: Social support was assessed with the Oslo 3 social support measurement scale. There are three questions with 14 points where participants, fewer than three with no social support, and scores of 3–8 indicate poor social support,9–11 moderate social support and 12–14 good social support. It consists of three items that ask for the number of close confidants, the sense of concern from other people, and the relationship with neighbors, with a focus on the accessibility of practical help [ 26 ]. Lack of a separate sleep room: those who had no separated bed room, who slept at the corridor or kitchen and others who shared a bedroom with other male family members and guests [ 27 ]. Extended family: In this study, employers’ families (wives/husbands) included brothers, sisters, grandparents, aunts, uncle, cousin, or in-laws [ 28 ]. Survivor: A person who has been physically, sexually, and/or psychologically violated [ 29 ]. Data collection tool, personnel, and procedure An interviewer-administered structured questionnaire was prepared based on the standard WHO multicounty study on women’s health and domestic violence against women, and different kinds of literature were reviewed [ 14 , 24 , 28 , 30 , 31 ]. The questionnaire included questions about socio-demographic and parent-related factors, personal housing-related factors, employer-related factors, work-related factors, and types of violence. Six female diploma nurses who could speak the local languages and two supervisors who were qualified with BSc nurses were recruited. For in-depth interview Semi interviews, a semi structured interview guide was developed after reviewing different related literature [ 28 , 32 – 34 ] and was provided by the principal investigator and two data collectors. Data Quality Management To ensure data quality, emphasis was given to designing the data collection instruments, which were then translated to the Afaan Oromo and Amharic languages by language experts, after which they were translated to English by another person to check consistency. Before the actual data collection, a pretest was conducted on 5% of the sample in Agaro town, and the feedback was incorporated accordingly. The data collectors and supervisors were trained for one day on the objective of the study, the data collection tool, the approach to the interviewees, and the ethical and safety aspects of conducting violence research. At the end of each day, the questionnaires were reviewed and crosschecked, and corrective measures were taken. For in-depth interviews, the trustworthiness of the qualitative data was ensured through their credibility, transferability, dependability and conformability through the triangulation of findings, the use of field notes, careful transcription, translation, and rich descriptions of the study methods. To ensure the validity of the translation, another person, proficient in both languages, checked and commented on it to incorporate changes into the report. All the recorded interviews were transcribed into a composed text for qualitative analysis. The texts were cross-checked with audio files for accuracy and consistency before coding. The descriptive information was reread to become acquainted with the data to obtain codes for thematic analysis. The analysis method combined prior codes with data-driven codes based on the research question. An open coding method was used to construct information-driven codes, categorizing small codes. The codes were added to subsequent transcripts using Atlas-ti. Data analysis procedures The data were exported from the ODK to SPSS version 26 for further analysis. To describe the relevant variables of the study population, frequencies and percentages were used for categorical variables, while means and standard deviations were used for continuous variables. Multicollinearity was checked for independent variables using a variance inflation factor. Binary logistic regression was used to identify factors associated with VAH during one’s lifetime. Variables that had a p value less than 0.25 in the bivariate analysis were selected as candidates for multivariate analysis. The final model was constructed using a backward stepwise logistic regression method. The strength of the statistical association between the dependent and independent variables was measured using a P value < 0.05 and an adjusted odds ratio (adjusted odds ratio) at the 95% confidence interval. The goodness of fit of the model was checked by the Hosmer–Lemeshow goodness-of-fit test, and a p value of 0.41 indicated a good lifetime. Finally, the results are presented in the text, table, and graphs. For qualitative data, the recorded IDIs were transcribed verbatim (word for word) in the local language Amharic and then translated into English by the principal investigator together with the person with experience conducting qualitative research. The transcriptions and translations were then carefully reread, line by line and repeatedly, to carry out the coding process that the researcher deemed important. Later, the quest for themes is carried out by combining previously coded, similar data. The data were summarized through thematic analysis to supplement the quantitative findings. The data were summarized in the atlas. ti, based on four thematic areas of understanding violence, vulnerability, lived experience, and suggestions, and presented triangulation with the quantitative findings. To ensure the validity of the translation, another person, proficient in both languages, checked and noted on it to incorporate changes into the report. Results Socio-demographic characteristics A total of 415 housemaids participated in the study, for a response rate of 98.3%. In this study, over half (54.9%) of the respondents were aged 15-19 years. The mean age of the respondents was 20.37 years (SD ± 4.56). More than one-third of the participants (171, 41.2%) had no formal education. The majority (329, 79.3%) came from rural areas. Of the respondents, (213, 51.3%) of the housemaids had their parents alive, but the majority of the respondents (385,92.8%) had no social support. (Table 1) Personal and work-related factors In this study, over one-third of the respondents (184, 44.3%) had duration of work of greater than four years. More than half of them, (239, 57.6%) were hired by brokers, and the majority Table1:Socio-demographic characteristics of housemaids in Jimma town, Southwest Ethiopia, 2023 (n=415) Variables Frequency Percent Age 15-19 228 54.9 20-24 133 32 >25 54 13 Income <=500 61 14.7 501-1000 272 65.5 1001-1500 64 15.4 1501-2000 18 4.3 Educational status No formal education 171 41.2 Primary (1-8) education 142 34.2 Secondary (9-12) education 83 20 College and above 19 4.6 Marital status Single 367 88.4 Married 33 8.0 Others 15 3.6 Childhood residence Rural 329 79.3 Urban 86 20.7 Parent survival status Both alive 213 51.3 Only mother alive 73 17.6 Only father alive 49 11.8 Both died 80 19.3 Education level of father(n=262) No formal education 221 84.4 Primary (1-8) education 38 14.5 Secondary (9-12) education 3 1.1 Education level of mother(n=286) No formal education 268 93.7 Primary (1-8) education 18 6.3 Social support No Social support 385 92.8 Poor Social support 30 7.2 *Others divorced and widowed Others * beggars, no job , private employer (362 , 87.2%) had no work agreement. (Table 2) This finding was also supported by the in-depth interviews: “ We are one of the vulnerable groups for VAH because we are females plus working in the other households, and the big issue is most of us having no work agreement. Because of have no work agreements and not ratified Convention No. 189 for that matter if we experienced violence against women, we cannot do anything for our right.” (A 25-year-old woman from Housemaid’s Association Leader) This finding was also supported by the in-depth interviews, which also supported the respondent: “ There is no well-organized recruiting system; if the recruiting process is legal, beneficiaries are both the employer and the housemaids. In addition, the ratification of C189 is important, and C189 specifically protects their rights. Most employers and almost all housemaids were not aware of the work agreement. Currently, we are hearing such bad news that the housemaid killed the employer's child and related news. Yesterday, I received one message from telecom called the Samirawit Foundation; the families established a foundation because they lost their child because of being housemaid. In contrast, ‘employer also violates the right of the housemaid’. In my view, if there is a legal way for the recruited system and management by the government, such bad news does not occur or can be minimized, and ratification is also needed ” (40-year-old male from the WSA). Half of the participants (220, 53%) had no specific task, and approximately one-third of the respondents (147, 35.4%) lacked a place of rest in the employer’s home. According to the participants’ responses, the majority (336, 81%) were working more than eight hours per day. Table 2: Work-related and personal-related factors of housemaids in Jimma town, Southwest Ethiopia, and 2023 (n=415) Variable Frequency Per cent Duration on work 4 184 44.3 Work agreement Yes 53 12.8 No 362 87.2 Having separate sleeping place in employers home Yes 268 64.6 No 147 35.4 Got job by broker Yes 239 57.6 No 176 42.4 Working less than eight hours per day Yes 79 19 No 336 81 Specific task (no Job description) Yes 195 47 No 220 53 Anyone who gave gift seeks of sex in working area Yes 124 29.9 No 291 70.1 Experience of violence Yes 319 76.9 No 96 23.1 On set of experienced violence (n=319) First month 55 17.2 First three months 7 2.2 After six months 243 76.2 Others 14 4.4 Alcohol consumption Yes 171 41.2 No 244 58.8 Frequency in the last 12 months(n=171) Every day or nearly everyday 2 1.2 Once or twice a week 43 25.1 Less than once a week 64 37.4 Never 62 36.3 Chat chewing Yes 200 48.2 No 215 51.8 Frequency in the last 12 months(n=200) Every day or nearly everyday 19 9.5 Once or twice a week 86 43 Less than once a week 86 43 Never 9 4.5 Smoking cigarette Yes 29 7 No 386 93 Frequency in the last 12 months(n=29) Every day or nearly everyday 4 13.8 Once or twice a week 17 58.6 Less than once a week 2 6.9 Never 6 20.7 Others * first day and first week Employer-related factors Most of the employers (267, 64.3%) had a family size between 4 and 6, and approximately one-third (142, 34.2%) of the employers had extended families living with them. More than half of the employers (235, 56.6%) used alcohol, and (100 ,42.6%) used alcohol. Approximately half of the employers (236, 56.9%) had chat chewing habits. (Table 3) Table 3: Employer-related factors in Jimma town, Southwest Ethiopia, 2023 (n=415) Variable Category Frequency Per cent Employer age =50 201 48.4 Employer education status No formal education 9 2.2 Primary (1-8) education 61 14.7 Secondary (9-12) education 58 14 College and above 287 69.2 Employer occupation Merchant 71 17.1 Government employer 256 61.7 Private employer 52 12.5 Housewife 20 4.5 Others* 16 3.9 Type of HH currently employed Married couple both living 408 98.3 Married couple but only man living 1 0.2 Single woman and single man living 6 1.4 Employer alcohol drinking habit Yes 235 56.6 No 180 43.4 Frequency of Employer alcohol drinking(n=235) Every day or nearly everyday 100 42.6 Once or twice a week 59 25.1 1-3 times a month 54 23 Occasionally less than once a month 22 9.4 Employer chat chewing habit Yes 236 56.9 No 179 43.1 Frequency of Employer chewing chat habit(n=236) Every day or nearly every day 95 40.3 Once or twice a week 68 28.8 1-3 times a month 47 19.9 Occasionally less than once a month 26 11 Household members who drinks alcohol Yes 125 30.1 No 290 69.9 Household members chew chat Yes 125 30.1 No 290 69.9 Employer family size 1-3 54 13.0 4-6 267 64.3 >6 94 22.7 Extended family Yes 142 34.2 No 273 65.8 Living with extended family exposed to VAW Yes 136 32.8 No 279 67.2 Others * have no work, retired Prevalence and type of violence The prevalence of at least one type of violence against housemaids in the last 12 months was 56.4% (95% CI: 51.5%-61.2%), and in the work lifetime, it was 61.7% (95% CI: 56.8%-66.4%). Physical violence A total of 41.9% (95% CI: 37.1%-46.8%) of the housemaids had experienced at least one type of physical violence during their work lifetime, and 35.7% (95% CI: 31.1%-40.5%) reported physical violence during the preceding 12 months. Psychological violence At least half 55.7% (95% CI: 50.7%-60.5%) of the housemaids had experienced One type of psychological violence occurred during the work lifetime, and 50.1% (95% CI: 45.2%-55%) of the housemaids had experienced at least one type of psychological violence in the past 12 months. Sexual violence One-fourth of the housemaids 28.2% (95% CI: 23.9%-32.8%) had experienced at least one type of sexual violence during their work lifetime, and 19% (95% CI: 15.4%-23.1%) of the housemaids had experienced at least one type of sexual violence in the past 12 months (Figure 1). Overlap between physical, psychological and sexual violence Among the respondents, 7 (1.7%) of the housemaids experienced only physical violence, 52 (12.4%) experienced only psychological violence, and 5 (1%) experienced only sexual violence during their work lifetime. However, 81 (19.5%) of the participants experienced both physical and psychological violence, 14 (3.4%) experienced both physical and sexual violence, and 27 (6.5%) experienced both psychological and sexual violence. Seventy-two (17.3%) of them reported experiencing three types of violence at the same time in their work lifetime. Additionally, more than one-third of them experienced more than one violence 194 (46.7%) (Figure 2). This finding was also supported by the in-depth interview: “As professionals, we were faced with many cases, VAH is related to its related behavior, I remember one survivor she was raped by the employer, and when she struggles to escape from the perpetrator, her face is injured, her leg is broken, and she becomes psychologically affected depressed and manifests posttraumatic stress disorders.” (A 38-year-old female health professional) Survivors of violence against housemaids This study also assessed the reasons for not responding to the encounter of tone or another form of violence. Among the victims of VAH, only 12 (2.9%) reported to the police, only 33 (8%) went to health care providers, and no one went to law enforcing bodies, victim shelters, women’s organizations, religious leaders, informal help-seeking, 4 (1%) family members/relatives or 5 (1.2%) peers when they encountered violence. The respondents were asked to mention their reasons for their silence, and they mentioned that more than one-third (43.7%) reported that they did not know what to do, 37.3% reported that violence was normal/not serious, and 12.9% were afraid of perpetrators (Figure 3). This finding was also supported by the in-depth interviews: “We expect the prevalence of violence among housemaids is high, but we have no data. Housemaids come for help in rare cases because most do not know what to do after they experience violence. However, when they came to us, we gave usual assistance to them.” (A 40-year-old woman from WSA) This finding was also supported by the in-depth interview “It is my story, when I came from rural I hired in one house female employer always beating me, insulting me, not give to enough food she has locked the ‘enjera and wot’ after I prepared, sleeping place is not suitable I slept at the kitchen with no door at the floor, I work over 16 hours per day, the children also insult me you dull …. Then, I said to her I want to leave the house, but she could not want to pay my salary, am accepting violence as a normal or I do not know what to do; at that time, I was not seeking any formal help only i told to my peers/friends, but they cannot help me .” (A 24-year female from the Housemaid Association) Perpetrators of violence against housemaids According to the results, the majority of violence was perpetrated by employers themselves (181, 43.1%), followed by household members (127, 30.2%). The majority of psychological violence was perpetrated by employers (275, 44.6%), followed by household members (184, 30.1%). In this study, sixty-seven (30%) housemaids reported that sexual violence perpetrators were employers’ relatives, followed by house members (46, 20.6%), and ( 43 ,19.3%) reported being violated by unknown persons and friends (Figure 4). This finding was also supported by the in-depth interview: “When they came to the service, we had been asking them, violence against housemaids are different parties involved; most of the perpetrators are employers, employer children or house members, employer relatives such as brothers, sisters, and unknown persons. Especially in sexual violence, common male employers, others most of the time hidden perpetrators are brokers, many cases we know, I remember one client the broker rape her, and she came to us for abortion service, she told me secretly, and another housemaid also told me when I go to buying bread in the morning unknown person raped me at the jungle.” (A 38-year female health professional) This finding was also supported by the other in-depth interview: “I know many cases, but for the time being, one housemaid her age is approximately 15–17. Her female employer always beat her and kicked, and insults her. One day, the employer inserted a stick into her nose. She cried, shouted, and became bleeding. At that time, I was working at a neighbor’s house." (A 25-year-old female from Housemaid’s Association Leader) This finding was also supported by another in-depth interview: “It’s my history. One day, the employers went to the workplace. The child of employers constantly insisted on having sex with me. One day, he came and forced me to have sex, but I shouted aggressively and he left, though he didn’t injure me, and I left the house. (A 22-year-old female from the housemaid association leader) Health consequences The consequences of physical violence reported by the respondents included pain (145, 59.2%) and injury/wound (86, 35.1%). Following psychological violence, the respondents reported that (224, 32.1%) cried and (224, 31.9%) felt nervous tense or worried. After experiencing sexual violence, the study participants reported that (87, 62.1%) felt fear of discomfort, (26, 18.6%) experienced an abortion, and (14, 10%) became pregnant. This finding was also supported by the in-depth interview: “ Most of the time they come for abortion services, but we give counseling, HIV test and if her result becomes positive, we send to treatment for HIV anti-retroviral therapy/ART/ service after she received the CAC service, we recommend using family planning also. In many cases, I remember one case; she was a housemaid. She came for an abortion, but we did an examination, and she became HIV positive.” (A 37-year-old female health professional) The finding was also supported by another professional in the in-depth interview: “They came for help, little of them were raped or pregnant, and when we do an examination, they are found to have HIV/AIDS or STI, pregnancy, various uterine infections/diseases.” (A 38-year-old woman from a health professional) Factors associated with violence against housemaids work lifetime Bivariate and multivariate logistic regression was used to assess factors associated with VAH in Jimma town. According to the bivariate analysis, the variables that had p values < 0.25, which were identified for the multivariable analysis, were age, educational status, previous residence (grow up),got job by broker, duration of work, any person give gift for seeking sex in the employer’s home, having a separate sleeping place, working less than eight hours per day, lack of a specific task (no job description), drinking habit, chew chat habit, social support, employer drinking habit, family size, and living with an extended family exposed to violence. These variables were associated with the experience of VAH after being housemaid work lifetime in the bivariate model. Housemaids with no formal education were 3.7 (AOR=95% CI: 1.220-11.335) times more likely to experience VAH in their work lifetime than those who had an educational level of college and above. Housemaids who had more than four years of work experience were 2.6 (AOR= 95% CI: 1.449-4.994) times more likely to experience violence than those who had less than two years of experience, and housemaids who had two to four years duration of work experience were 2.4 (AOR=95% CI: 1.292-4.619) times more likely to experience VAH than those who had less than two years of experience. The qualitative results indicate that the real-time occurrence of VAH is unknown, but the duration and experience of violence are interrelated, as reported by the housemaid’s association leaders. Housemaids who got job by broker obtained were 2.8 (AOR=95% CI: 1.721-4.622) times more likely to experience VAH than their counterparts were. Housemaids lacking a specific task 1.7 (AOR=95% CI: 1.074-2.905) times more likely to experience VAH than their counterparts. Housemaid individuals who had no social support 4.5 (AOR=95% CI: 1.563-12.894) times more likely to experience VAH counterparts. Employer’s home who had greater than six family size 5.4(AOR: 95%CI: 2.194-13.490) times more likely to commit VAH than having family member less than four family size (Table 5). Discussion This study aimed to assess the prevalence and associated factors of VAH in Jimma town. This study revealed that the overall prevalence of work lifetime VAH was 61.7% (95% CI: 56.8%-66.4%). This finding coincides with the study at Addis Ababa, which reported that the magnitude of VAH during their work lifetime was 58.8% [36]. This similarity might be due to societal and cultural attitudes and economic and lack of legal protection may result in shared vulnerability to violence in different places. This finding is lower than the 80% reported in a study among housemaids in Ecuador [37]. The variation may be due to differences in socioeconomic factors; Ecuador ranks 95 th , and Ethiopia ranks 175 th among 191 countries that have different levels of economic development, which can impact the working conditions and treatment of housemaids [38]. The ILO Convention 189 ratified by Ecuador increased the ability to exercise their right [39]. The level of awareness and reporting of VAH can vary with media campaigns specific to housemaids [37]. In Ethiopia, the level of reporting is low, with people understanding violence or accepting violence as normal and keeping silent. This finding is higher than that of a study in which the Hawassa Work Lifetime prevalence was 20.9% [40]. A possible explanation might be that the study settings involved school participants who were wide open to education due to variation in the denominator used to calculate the prevalence, study time, and work lifetime of VAH, which increased when COVID-19 emerged as an outbreak. The study was conducted before COVID-19. This study revealed that the prevalence of physical violence was 41.9% (95% CI: 37.1%-46.8%). This finding coincides with that of a 37.1% study on housemaids at Debre Tabor [41]. In this study, the prevalence of physical violence was greater than that in studies involving housemaids. Table 4: Bivariate and multivariate logistic regression results of factors associated with violence against housemaids work life time in Jimma town, Southwest Ethiopia, 2023 Variables Category Violence against housemaids COR AOR Yes (n=256) N (%) No (n=159) N (%) Age 15-19 130(57) 98(43) 0.559(0.294-1.060) 0.510(0.236-1.104) 20-24 88(66.2) 45(33.8) 0.823(0.415-1.635) 0.774(0.399-1.768) >=25 38(70.4) 16(29.6) 1 1 Educational status No formal education 142(83) 29(17) 4.407(1.645-11.802) 3.719(1.220-11.335)* Primary 77(54.2) 65(45.8) 1.066(0.409-2.782) 1.284(0.430-3.830) Secondary 27(32.5) 56(67.5) 0.434(0.158-1.192) 0.608(0.192-1.922) College and above 10(52.6) 9(47.4) 1 1 Grow up Rural 214(65) 115(35) 0.513(0.318-0.829) 1.039(0.567-1.907) Urban 42(48.8) 44(51.2) 1 1 Duration of work 4 125(67.9) 59(32.1) 2.207(1.335-3.648) 2.690(1.449-4.994)* Got job by broker No 75(42.6) 101(57.4) 1 1 Yes 181(75.7) 58(24.3) 4.203(2.760-6.398) 2.820(1.721-4.622)* Anyone who gave gift seek of sex in employers home No 170(58.4) 121(41.6) 1 1 Yes 86(69.4) 38(30.6) 1.611(1.030-2.520) 1.393(0.798-2.433) Lack of specific task No 152(69.1) 68(30.9) 1 1 Yes 104(53.3) 91(46.7) 0.511(0.342-0.764) 1.766(1.074-2.905)* Having separate sleeping place in employers home No 78(53.1) 69(46.9) 1 1 Yes 178(66.4) 90(33.6) 1.750(1.160-2.640) 1.425(0.832-2.440) Working less than eight hrs./day No 36(45.6) 43(54.4) 1 1 Yes 220(65.5) 116(34.5) 2.265(1.379-3.722) 1.096(0.571-2.104) Drinking alcohol No 137(56.1) 107(43.9) 1 1 Yes 119(69.6) 52(30.4) 1.787(1.183-2.700) 1.572(0915-2.700) Chewing chat habit No 121(56.3) 94(43.7) 1 1 Yes 135(67.5) 65(32.5) 1.613(1.081-2.408) 0.651(0.374-1.135) Social support No 247(64.2) 138(35.8) 4.176(1.861-9.371) 4.490(1.563-12.894)* Yes 9(30) 21(70) 1 1 Employer drinking habit No 99(55) 81(45) 1 1 Yes 157(66.8) 78(33.2) 1.647(1.104-2.457) 1.018(0.587-1.767) Family size 1-3 23(42.6) 31(57.4) 1 1 4-6 157(58.8) 110(41.2) 1.924(1.064-3.477) 2.017(0.998-4.076) >6 76(80.9) 18(19.1) 5.691(2.702-11.986) 5.440(2.194-13.490)* Extended family exposed to VAW No 156(55.9) 123(44.1) 1 1 Yes 100(73.5) 36(26.5) 2.190(1.399-3.429) 1.735(0.950-3.168) *p≤0.05 AOR=Adjusted odd ratio, COR=crude odd ratio, CI=confidence interval 16.3% of Mekelle town [31]. A possible explanation might be the socio-demographic differences in the socio-cultures of the northern and southwestern regions, the different study periods before the COVID-19 pandemic, and the understanding of violence or the acceptance of violence as a normal and silent approach. A school-based study performed at Addis Ababa on housemaids reported that the prevalence of physical violence was 33.6% [36]. This finding is higher than that of the present study; the variation might be study setup was at school grade level difference excludes out of school understanding of violence in both group may be differ ,and the other reason might be that schools have policies to prevent physical violence compared to less controlled diverse communities or low reporting. A community-based study at Kombolcha VAH reported a prevalence of 33.49% [42]. This finding is higher than that of other studies, possibly because of the difference might be in the sample size difference of the denominator used to calculate the prevalence and study conducted at the onset of COVID-19. The prevalence of physical violence in this study was higher than that in a study conducted in 10% of Peru [18]. A possible explanation might be that they are ratified by the convention. This finding is lower than that of a study in Kuwait (82%) [43]. A possible explanation might be that the workers were migrants from different countries, with socio-demographic differences and tool differences. In this study, the prevalence of psychological violence was found to be 55.7% (95% CI: 50.7%-60.5%). This finding was consistent with those of studies on housemaids at Addis Ababa (53.6%), Debre Tabor (56.3%) and Hong Kong (58%) [16,36,44]. This finding is higher than that of a study in India (25.2%) [45]. The differences might be cultural and societal norms, levels of awareness and reporting. This finding is lower than that in studies of psychological violence at Nairobi (73%) and Kuwait (88%) [18,43]. The difference might be the level of awareness and reporting, cultural, and societal norms, or migrant workers. This finding is lower than that of a study at Oregon (65%) [46]. The differences might be socio-demographic, study population, cultural and societal norms, different legal frameworks, and different levels of awareness about their rights. In this study, the prevalence of sexual violence was 28.2% (95% CI: 23.9%-32.8%).This finding was consistent with those studies of Addis Ababa (29.6%)[36], Debre Tabor (27.8%)[30], AddisAbaba(28.6%) [47],Nairobi(24.5%), and Peru (30%) [18]. However, this finding is lower than the study done at Gedio zone 60.2% [48] and Harar (72%) [49]. The discrepancy may be due to differences in the accessibility of information; other factors may be low reporting, attitudes toward sexual violence, and study settings where clinics came for the service, and at night, school study participants might increase their vulnerability due to differences in response rates and tools. Several Ethiopian towns have different cultural and socioeconomic characteristics. This finding is higher than the study 14% reported in Portugal and the USA Oregon [46,50]. The variation might be due to differences in the cultural characteristics of the study population and socioeconomic differences between the two countries. Portugal is a highly developed country with a relatively high economic level; the Human Development Index (HDI) ranks 38 th , and the USA ranks 19 th out of 191 countries, while Ethiopia ranks 175 th out of 191 [38]. Additionally, in terms of legal protection for workers, among 191 countries, the USA and Portugal are the 25 th -largest countries for women to live [8,51]. These studies showed that compared with those with a college education or above, housemaids with no formal education were four times more likely to experience VAH in the work lifetime with compared with the educational level of college and above during their lifetime. This finding is supported by studies by Debre Tabor and Harer [44,49]. One of the key informants explained this as follows: “ Most of the housemaids who came to health facilities are illiterate, and many of them were unable to write their names and use their fingerprints when they were required to express their consent for the CAC service. When defining risky conditions among uneducated women, less educated women had lower awareness. They almost did not read and understand SRH information. These women have problems with early understanding of warning signs when they are harassed by any individual. Even, some of them are not alert of what has to in the case of abuse. ” (38-year-old female health professional) This may be because the experience of violence declines with increasing education because education can increase awareness of legal protection and labor rights and access to information and enhance communication skills. These findings indicate and confirm the importance of empowering and promoting social and economic inclusion for all those recommended by the SDGs. In this study, individuals with a duration of work greater than four years were three times more likely to experience VAH than those with a duration of work less than two years, and individuals with a duration of work two to four years were two times more likely to experience VAH than those with a duration of work less than two years. This finding was supported by other studies on housemaids in Debre Tabor [41]. This finding was supported by the in-depth interviews: “We experience VAH as we join the house (work), they insult like you dull, donkey…, or they beat, slap, throwing material,…or we experienced such sexual violence, joking, touching sensitive parts even rape. With increasing time in the sector, we also experienced more types of violence against housemaids” (a 23-year-old woman from a housemaid association leader). One of the key informants contradicted this statement: “ I know that employers and housemaids who live in good relationships. I know many families, for the time being let me tell you one history. There was a housemaid who entered the household seven years ago. The employers saw her as their children. They encouraged her to start school, and now she is a grade seven student; they are paying her salary on time; she has rest time. In general, they have good relations. Therefore, time is not important; the main thing is good relationships .” (A 22-year-old woman from a Housemaid Association leader) The possible reason might be that, staying longer in the sector, the housemaids are restricted and spend their whole time at the employer’s home. Along with long hours in work and close interaction with employers, family members who were the main perpetrators of violence against housemaids in domestic settings also considered violence to be normal and to remain silent. The other reason might be that, in some cases, long-term housemaids may become desensitized to mistreatment or violence due to prolonged exposure. They may come to accept such behavior as a normal part of their job or believe that they have no alternative options or the right of employer. In this study, compared with their peers, housemaids who obtained employment from brokers were three times more likely to experience lifelong work violence. This finding was supported by the findings of other studies on housemaids in Addis Ababa [52,53]. “…Moreover, when they are enlisted by a broker, less sure than those who are hired by a family, relative or companion since the brokers think as it was around the incentive they received” (a 47-year-old man from the WASA). A possible justification might be that employment agencies or brokers tend to take the side of employers in disputes with employees because employers have more money and because housemaids are dispensable because there is a regular pipeline. In addition, there may be a lack of legal information on how brokers focus on the commission rather than on the security of housemaids. Housemaids with a lack of specific tasks were two times more likely to experience VAH than their counterparts were. This finding is supported by other study by Harer [49]. This finding was supported by the results of an in-depth interview with the housemaid association, which revealed that “ the employers engaged the housemaids in different tasks, including massaging the male employer body” (22 years the housemaid association leader). A possible explanation might be that housemaids with specific tasks often operate with clear instructions and defined duties, reducing ambiguity and conflicts arising from misunderstandings. This study revealed that housemaid had no social support were five times more likely to experience VAH than their counterparts. This finding was supported by another study at Bahir Dar [54]. A possible explanation might be that a lack of social support can increase people’s susceptibility to abuse. Social support plays a crucial role in promoting emotional well-being by providing individuals with a sense of belonging, validation, and emotional comfort. This can help them cope with the challenges they face and reduce the negative impact of violence. In this study, housemaids living with employer family size greater than six were three times experienced violence compared to having family size less than four. This finding is similar to that of a study performed in Hawassa [14]. A possible explanation might be that when there are many families living, the probable causes of violence increase as well, which increases the likelihood of housemaid violence. Large families often have more household responsibilities, and demands can result in a higher workload for the housemaid, who may be expected to handle various tasks. This pressure can create a stressful environment, increasing the likelihood of conflicts and potential violence. When interpreting the findings of this study, the following limitations should be considered. As this study examined personal and sensitive issues, obtaining honest responses about women’s history of violence (especially about sexual violence) might have been difficult. Recall bias on work lifetime experience. Conversely, few studies have focused on marginalized, vulnerable and the most neglected population groups. Additionally, a standard tool was designed based on the standard WHO Multicounty Study Questionnaire. This study used both qualitative and qualitative methods (mixed approach) to increase the reliability and credibility of the findings, and the results were triangulated. Conclusion In this study, violence against housemaids was found to be a major problem. Six out of ten participants had faced at least one form of VAH during their work lifetime. Over one-third of the participants experienced more than one type of violence. The independent variables of violence against housemaids were educational status, duration of work, got job by broker, lack of a specific task, social support, and family size. Qualitatively, the key informants emphasized that a work agreement is essential for combatting VAH because of the lack of a well-organized system and the lack of ratification of convention 189, which exposes housemaids to VAH. The types of violence they face at VAHs mostly affect them, and they experience all three types of VAHs. Because the perpetrators are employers, their children, household members and the hidden perpetrators are brokers; after they are exposed to VAH or become survivors, they do not know how to respond keep silent. Addressing such determinants will require multisectoral interventions. Therefore, integrated interventions such as increasing the school enrollment of groups such as housemaids are needed. Displaying IEC materials (posters, pamphlets, etc...) in major public service centers, squares depicting the very high prevalence and severe nature of the violence being committed against housemaids by employers in the community. Awareness campaigns should be conducted to educate employers, housemaids, and the general public about the rights and responsibilities of housemaids by assigning housemaids week and housemaid days. Creating alternative employment opportunities for victim housemaids and reducing the reliance on domestic work. The proper oversight of broker activities should be ensured, and awareness about rights should be increased. Empowering and reporting violence, as a crime and improving community awareness of housemaid violence are needed. Training programs for housemaids can empower them with knowledge and skills to assert their rights and protect themselves from abuse. Housemaids should be accepted as a profession to minimize abusive environments. Give love, care, and affection to them as family members. Abbreviations IDI, in-depth interview; ILO, International Labor Organization; IPV, intimate partner violence; NGO, nongovernmental organization; ODK, open data toolkit; WHO, World Health Organization; VAH, violence against housemaids. Declarations Ethical Consideration Ethical clearance and approval were obtained from the Institutional Review Board of Jimma University, Institute of Health (Ref.No:JUIH/IRB/444/23)[ 35 ]. All of the study participants were informed about the purpose of the study, their right to refuse, and their confidentiality, and written informed consent was obtained before the interview. For minors < 18, written informed consent from their parent/legal guardian and written assent from the children were obtained to participate. Each participant was informed before the interview that if someone interrupted the interview, the topic would be changed to a pre-agreed neutral topic on women’s health. At the end of each interview, females who were victims of violence and who did not seek care were informed about the necessity of medical care and legal protection as well as where it was given. Data Sharing Statement The dataset for the current study is available from the corresponding authors upon reasonable request. Ethics Approval and Consent to Participate All study methods were performed in accordance with the ethical principles of the Declaration of Helsinki [55]. Ethical clearance was obtained from the institutional review board (Ref.No: JUIH/IRB/444/23) of the institute of health, Jimma University. An official letter of permission was obtained from Jimma town Health office. The purpose of the study was explained to each study participant before written informed consent was obtained from each participant aged 18 years and older. For those under 18 years, verbal assent was obtained from their parent after describing the purpose and benefits of the study. The interviews were performed in private and secure places, usually in a room or other space without the employer present. Confidentiality of the responses Acknowledgments We express our genuine thanks to all individuals who contributed to the study respondents, the data collectors, and Jimma University. Author Contributions All the authors played a significant role in the work reported, whether in the conception, study design, execution, attainment of data, analysis, and interpretation, or in all the areas in which the article was drafted, revised, or critically reviewed, gave final approval of the version to be published, agreed on the journal to which the article has been submitted, and agreed to be accountable for all parts of the paper. Funding The research work was funded by Jimma University. The funders had no role in the study design, data collection, analysis, decision to publish, or preparation of the manuscript. 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Magnitude and Factors with Sexual Violnece Among Housemaids Attending Night School in Bahir Dar City , North. 2022. Cantin M. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. 2014; Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 30 Sep, 2025 Read the published version in BMC Research Notes → Version 1 posted Editorial decision: Revision requested 26 Jun, 2024 Editor assigned by journal 25 Jun, 2024 Submission checks completed at journal 25 Jun, 2024 First submitted to journal 05 Jun, 2024 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. 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Aynalem","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA9UlEQVRIiWNgGAWjYBACA2YYix2IJSqABDNzA2EtB0AsEMPiDIjBSEALA7KWyjYQi4AWc3Yew8cfag7n8TczH91wc15tNH87UMuPim04tVg28xgbHDh2uFjiMFvazZnbjufOOMzYwNhz5jZuhx3m3SZxgO1wYsNhHrPbktuO5TYAtTAzthHS8u9w4vzD/N9u/51zLHc+UVoOth1O3HCYh+2GZENN7gbCWvg/G5ztS0/ceJjN7IbEsQO5G4FaDuL1y/ljiQ8qvlknzjve/OyGRE1d7rzzhw8++FGBWwsUNMMYh8HkAULqgaAOgzEKRsEoGAWjAA4AcZZkPhFr00wAAAAASUVORK5CYII=","orcid":"","institution":"Jimma University","correspondingAuthor":true,"prefix":"","firstName":"Hiwot","middleName":"","lastName":"Aynalem","suffix":""},{"id":319271993,"identity":"748ff2b9-814e-4e01-905a-f8470fa9820b","order_by":1,"name":"Misra Abdulahi","email":"","orcid":"","institution":"Jimma 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00:12:48","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4536485/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4536485/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s13104-025-07271-7","type":"published","date":"2025-09-30T15:58:07+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":60630715,"identity":"29a5b584-1ce7-4167-8638-0ea89f352e92","added_by":"auto","created_at":"2024-07-19 00:47:35","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":18416,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003eThe last 12 months and work lifetime \u0026nbsp;experience of physical, psychological, and sexual violence against housemaids in Jimma Town, Southwest Ethiopia, 2023\u003c/em\u003e\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-4536485/v1/6f986cd252aa4440d94a766c.png"},{"id":60630718,"identity":"28ed846f-f70b-4659-862b-20b814440d09","added_by":"auto","created_at":"2024-07-19 00:47:35","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":39656,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003eOverlap between physical, psychological, and sexual violence experienced by housemaids in Jimma town, Southwest Ethiopia, 2023\u003c/em\u003e\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-4536485/v1/1b1547f4437a19e4bee18e77.png"},{"id":60630717,"identity":"374c8ff9-0d16-4ce7-8612-641f5c53f5bc","added_by":"auto","created_at":"2024-07-19 00:47:35","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":19078,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003eResponse to violence against housemaids in Jimma town, Southwest Ethiopia, 2023\u003c/em\u003e\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-4536485/v1/c95276ff217e110870b81f2a.png"},{"id":60630716,"identity":"75c1f6d7-8cab-4d94-bfad-1cdd3872a11c","added_by":"auto","created_at":"2024-07-19 00:47:35","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":30443,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003ePerpetrators of violence against housemaids in Jimma town, Southwest Ethiopia, 2023 (Others*unknown person, guard, and boyfriend)\u003c/em\u003e\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-4536485/v1/a7566ee5b3d7ff08876284ae.png"},{"id":92884118,"identity":"897f277e-69c5-478d-ac8c-692485e192ad","added_by":"auto","created_at":"2025-10-06 16:12:24","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1020324,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4536485/v1/8911973f-87a6-4bd2-b917-c82414cb59da.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Violence against Housemaids and associated factors in Jimma Town, Southwest Ethiopia, 2023: a mixed-method study","fulltext":[{"header":"Introduction","content":"\u003cp\u003eViolence against women is a main public health problem that affects the physical, sexual, mental, and social well-being of women[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. Scholars have used several criteria to express common forms of violence: physical violence (slapping, hitting, kicking, and beating), sexual violence (forced intercourse and other forms of coerced sex), and psychological violence (intimidation and humiliation), which can be defined as the relationship between the perpetrator and victim intimate partner violence (IPV) and non-IPV [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eGlobally, all types of violence overlap in relationships and are significant public health problems, but the level and pattern of violence significantly vary among settings, cultures, and segments of the population [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe health consequences of violence include short- and long-term physical, mental, sexual, and reproductive health problems for women. This violence leads to high social and economic costs for women, their families, and societies [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. It leads to stress, depression, loss of self-esteem, reluctance to join the wider world, and more severe psychological and physical problems [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. Such violence can have fatal outcomes, such as homicide or suicide, injuries, unintended pregnancies, induced abortions, gynecological problems, and sexually transmitted infections, including HIV, miscarriage, stillbirth, preterm delivery, and low birth weight babies [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe women who are doing the homemaker service in the other’s house are known as domestic servants, domestic workers, or housemaids. Generally, women do these types of work for their own and familial livelihood [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eWorldwide, 75.6\u0026nbsp;million domestic workers, 76.2%, are female, and 82% of the world’s domestic workers are in developing and emerging countries[\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. In Ethiopia, estimates from the Ministry of Labor and Social Affairs (MOLSA) show that 1.5% of women in the country are currently working as domestic workers [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e].\u003c/p\u003e \u003c/div\u003e \u003cp\u003e\u003c/p\u003e \u003cp\u003eMost housemaids in Ethiopia are young females [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. Housemaids are the most vulnerable group for any of the forms of all types of violence, as they face the greatest obstacles to gaining protection and necessary services, and the dependence on employers for obtaining and retaining employment might facilitate exploitation. The working setup, such as domestic setup, lack of resting room, the time spent on work, and loneliness by itself, makes them vulnerable categories of workers [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eOther social, cultural, and sometimes linguistic barriers faced by domestic workers and the limited knowledge of legislation seem to increase their vulnerability [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. In particular, the movement of vulnerable women and young people with little education and few job skills increased, with a high proportion being housemaids [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. Housemaids are a neglected population segment of the world, especially in developing countries, including Ethiopia [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eAccording to the ILO, housemaids are the most vulnerable group of laborers to all forms of abuse and exploitation [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. Globally, 75.6\u0026nbsp;million, Africa 3.8\u0026nbsp;million, and Ethiopia, over 248,600 people employed, are being exploited, and a quarter of all domestic workers are not afforded any legal rights at all [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. Housemaids constitute 90.7% of the total domestic employment in Ethiopia, which is neglected by basic labor rights [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eTherefore, this research attempted to provide information on the prevalence, causes, and consequences of violence against housemaids. For governmental organizations, NGOs serve as an input for evidence-based decision-making on promoting programs for better reproductive health care and addressing the information gap about factors associated with violence against housemaids, allowing clients and stakeholders to intervene in such aspects. Moreover, it will be useful for enhancing the existing limited body of knowledge and baseline data for researchers to conduct further studies on violence against housemaids.\u003c/p\u003e "},{"header":"Methods and Materials","content":"\u003cp\u003eStudy area and period\u003c/p\u003e\u003cp\u003eThe study was conducted in Jimma town, southwest Ethiopia, from August 1–30/2023. Jimma town is the capital and administrative center of the Zone and is located 352 km south‒west of Addis Ababa. The town has a total population of 224,000, of whom males account for 112,896 females 111,104 according to the 2023GC Jimma zone health bureau population projection report. There are 42,742 households in the town. Because of the instability of the sector, it is difficult to obtain the exact number, but the town Labor and Social Affairs estimates that there are more than 11,500 housemaids in the town.\u003c/p\u003e\u003cp\u003eStudy design\u003c/p\u003e\u003cp\u003eA community-based cross-sectional parallel mixed-methods study design was employed. A phenomenological qualitative study was conducted with key informants.\u003c/p\u003e\u003cp\u003eSource population\u003c/p\u003e\u003cp\u003eThe study population included all randomly selected housemaids working in selected kebles using the census and those who lived at least six months. All the housemaids in the selected kebele in Jimma town were the source population. To reduce selection bias, housemaids who had been working live-out were excluded.\u003c/p\u003e\u003cp\u003eFor the qualitative part, fifteen in-depth interviews (IDIs) were conducted. All Housemaid Association leaders, health professionals, and women and social affairs representatives selected purposively were interviewed.\u003c/p\u003e\u003cp\u003eSample size determination\u003c/p\u003e\u003cp\u003eThe sample size was calculated by using EPI Info version 7.2.5.0 by considering different assumptions. To determine the prevalence of violence against housemaids, the sample size was determined by assuming a 50% prevalence of violence against housemaids (P = 0.50), a 95% confidence interval, a 5% margin of error, and a 10% nonresponse rate 422.\u003c/p\u003e\u003cp\u003eFor IDI, fifteen participants, including housemaid association leaders, health professionals, and women and social affairs representatives, were selected purposively and interviewed on the issue based on saturation of the information.\u003c/p\u003e\u003cp\u003eVariables\u003c/p\u003e\u003cp\u003eViolence against women (work lifetime): A housemaid was considered to have experienced lifetime violence against women if she reported at least one act of physical, psychological, or sexual violence at any point in her working lifetime [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eHousemaids: Females who work at the household level [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. Or any person engaged in domestic work within an employment relationship [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eWorkplace: The workplace includes any place where work is carried out (e.g., office, site, factory, or shop), including the home [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eMeasurements\u003c/p\u003e\u003cp\u003ePhysical violence: If the participant replied “yes” to one of the following questions: slapping or throwing something at the woman that could hurt her, pushing or shoving, hitting with a fist or something else that could hurt, kicking, dragging or beating, choking or burning on purpose, and/or threatening with, or actually having a gun, knife or other weapon used on the victim [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e], she was considered to have experienced physical violence.\u003c/p\u003e\u003cp\u003ePsychological violence: If the participant replied “yes” to one of the following questions: insulting or making to feel bad about herself, belittling or humiliating her in front of other people, or doing things to scare or threaten her on purpose [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e], she was considered to have experienced psychological violence.\u003c/p\u003e\u003cp\u003e Sexual violence: If the participant replied “yes” to one of the following questions: “Faced with unwelcome Touch sexually (e.g., on breasts, genitalia, kissing, etc.), verbal jocks, Comments; or made you something that you didn’t, forced to have sex that you have escaped, sexual intercourse forcefully or by any means that you didn’t want to or against your interest [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e], she was considered to have experienced sexual violence.\u003c/p\u003e\u003cp\u003eSubstance use: This study referred to the respondent's use of at least one of the substances (alcohol, chat, cigarettes) in an individual’s lifetime to alter mood or behavior [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eSocial support: Social support was assessed with the Oslo 3 social support measurement scale. There are three questions with 14 points where participants, fewer than three with no social support, and scores of 3–8 indicate poor social support,9–11 moderate social support and 12–14 good social support. It consists of three items that ask for the number of close confidants, the sense of concern from other people, and the relationship with neighbors, with a focus on the accessibility of practical help [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eLack of a separate sleep room: those who had no separated bed room, who slept at the corridor or kitchen and others who shared a bedroom with other male family members and guests [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eExtended family: In this study, employers’ families (wives/husbands) included brothers, sisters, grandparents, aunts, uncle, cousin, or in-laws [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eSurvivor: A person who has been physically, sexually, and/or psychologically violated [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eData collection tool, personnel, and procedure\u003c/p\u003e\u003cp\u003eAn interviewer-administered structured questionnaire was prepared based on the standard WHO multicounty study on women’s health and domestic violence against women, and different kinds of literature were reviewed [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e, \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e]. The questionnaire included questions about socio-demographic and parent-related factors, personal housing-related factors, employer-related factors, work-related factors, and types of violence. Six female diploma nurses who could speak the local languages and two supervisors who were qualified with BSc nurses were recruited.\u003c/p\u003e\u003cp\u003eFor in-depth interview Semi interviews, a semi structured interview guide was developed after reviewing different related literature [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e, \u003cspan additionalcitationids=\"CR33\" citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e–\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e] and was provided by the principal investigator and two data collectors.\u003c/p\u003e\u003cp\u003eData Quality Management\u003c/p\u003e\u003cp\u003eTo ensure data quality, emphasis was given to designing the data collection instruments, which were then translated to the Afaan Oromo and Amharic languages by language experts, after which they were translated to English by another person to check consistency. Before the actual data collection, a pretest was conducted on 5% of the sample in Agaro town, and the feedback was incorporated accordingly. The data collectors and supervisors were trained for one day on the objective of the study, the data collection tool, the approach to the interviewees, and the ethical and safety aspects of conducting violence research. At the end of each day, the questionnaires were reviewed and crosschecked, and corrective measures were taken.\u003c/p\u003e\u003cp\u003eFor in-depth interviews, the trustworthiness of the qualitative data was ensured through their credibility, transferability, dependability and conformability through the triangulation of findings, the use of field notes, careful transcription, translation, and rich descriptions of the study methods. To ensure the validity of the translation, another person, proficient in both languages, checked and commented on it to incorporate changes into the report. All the recorded interviews were transcribed into a composed text for qualitative analysis. The texts were cross-checked with audio files for accuracy and consistency before coding. The descriptive information was reread to become acquainted with the data to obtain codes for thematic analysis. The analysis method combined prior codes with data-driven codes based on the research question. An open coding method was used to construct information-driven codes, categorizing small codes. The codes were added to subsequent transcripts using Atlas-ti.\u003c/p\u003e\u003cp\u003eData analysis procedures\u003c/p\u003e\u003cp\u003eThe data were exported from the ODK to SPSS version 26 for further analysis. To describe the relevant variables of the study population, frequencies and percentages were used for categorical variables, while means and standard deviations were used for continuous variables. Multicollinearity was checked for independent variables using a variance inflation factor. Binary logistic regression was used to identify factors associated with VAH during one’s lifetime. Variables that had a p value less than 0.25 in the bivariate analysis were selected as candidates for multivariate analysis. The final model was constructed using a backward stepwise logistic regression method.\u003c/p\u003e\u003cp\u003eThe strength of the statistical association between the dependent and independent variables was measured using a P value \u0026lt; 0.05 and an adjusted odds ratio (adjusted odds ratio) at the 95% confidence interval. The goodness of fit of the model was checked by the Hosmer–Lemeshow goodness-of-fit test, and a p value of 0.41 indicated a good lifetime. Finally, the results are presented in the text, table, and graphs.\u003c/p\u003e\u003cp\u003e For qualitative data, the recorded IDIs were transcribed verbatim (word for word) in the local language Amharic and then translated into English by the principal investigator together with the person with experience conducting qualitative research. The transcriptions and translations were then carefully reread, line by line and repeatedly, to carry out the coding process that the researcher deemed important. Later, the quest for themes is carried out by combining previously coded, similar data. The data were summarized through thematic analysis to supplement the quantitative findings. The data were summarized in the atlas. ti, based on four thematic areas of understanding violence, vulnerability, lived experience, and suggestions, and presented triangulation with the quantitative findings. To ensure the validity of the translation, another person, proficient in both languages, checked and noted on it to incorporate changes into the report.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003eSocio-demographic characteristics\u003c/p\u003e\n\u003cp\u003eA total of 415 housemaids participated in the study, for a response rate of 98.3%. In this study, over half (54.9%) of the respondents were aged 15-19 years. The mean age of the respondents was 20.37 years (SD \u0026plusmn; 4.56). More than one-third of the participants (171, 41.2%) had no formal education. The majority (329, 79.3%) came from rural areas. Of the respondents, (213, 51.3%) of the housemaids had their parents alive, but the majority of the respondents (385,92.8%) had no social support. (Table 1)\u003c/p\u003e\n\u003cp\u003ePersonal and work-related factors\u003c/p\u003e\n\u003cp\u003eIn this study, over one-third of the respondents (184, 44.3%) had duration of work of greater than four years. More than half of them, (239, 57.6%) were hired by brokers, and the majority\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eTable1:Socio-demographic characteristics of\u003c/em\u003e\u003cem\u003e\u0026nbsp;housemaids in Jimma town, Southwest Ethiopia, 2023 (n=415)\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"319\" style=\"margin-right: calc(60%); width: 40%;\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"64.57680250783699%\" colspan=\"2\" valign=\"top\" style=\"width: 59.8619%;\"\u003e\n \u003cp\u003eVariables\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.86833855799373%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003eFrequency\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.539184952978056%\" valign=\"top\" style=\"width: 15.0422%;\"\u003e\n \u003cp\u003ePercent\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.79623824451411%\" rowspan=\"3\" valign=\"top\" style=\"width: 31.3124%;\"\u003e\n \u003cp\u003eAge\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.46708463949843%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003e15-19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.86833855799373%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e228\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.86833855799373%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e54.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.19230769230769%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003e20-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e133\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e32\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.19230769230769%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003e\u0026gt;25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.79623824451411%\" rowspan=\"4\" valign=\"top\" style=\"width: 31.3124%;\"\u003e\n \u003cp\u003eIncome\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.46708463949843%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003e\u0026lt;=500\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.86833855799373%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.86833855799373%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e14.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.19230769230769%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003e501-1000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e272\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e65.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.19230769230769%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003e1001-1500\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e15.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.19230769230769%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003e1501-2000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e4.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.79623824451411%\" valign=\"top\" style=\"width: 31.3124%;\"\u003e\n \u003cp\u003eEducational status\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.46708463949843%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003eNo formal education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.86833855799373%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e171\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.86833855799373%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e41.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.79623824451411%\" rowspan=\"3\" valign=\"top\" style=\"width: 31.3124%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.46708463949843%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003ePrimary (1-8) education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.86833855799373%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e142\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.86833855799373%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e34.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.19230769230769%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003eSecondary (9-12) education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.19230769230769%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003eCollege and above\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e4.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.79623824451411%\" rowspan=\"3\" valign=\"top\" style=\"width: 31.3124%;\"\u003e\n \u003cp\u003eMarital status\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.46708463949843%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003eSingle\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.86833855799373%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e367\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.86833855799373%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e88.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.19230769230769%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003eMarried\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e8.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.19230769230769%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003eOthers\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e3.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.79623824451411%\" rowspan=\"2\" valign=\"top\" style=\"width: 31.3124%;\"\u003e\n \u003cp\u003eChildhood residence\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.46708463949843%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003eRural\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.86833855799373%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e329\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.86833855799373%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e79.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.19230769230769%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003eUrban\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e20.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.79623824451411%\" rowspan=\"4\" valign=\"top\" style=\"width: 31.3124%;\"\u003e\n \u003cp\u003eParent survival status\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.46708463949843%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003eBoth alive\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.86833855799373%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e213\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.86833855799373%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e51.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.19230769230769%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003eOnly mother alive\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e17.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.19230769230769%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003eOnly father alive\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e11.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.19230769230769%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003eBoth died\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e19.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.79623824451411%\" rowspan=\"3\" valign=\"top\" style=\"width: 31.3124%;\"\u003e\n \u003cp\u003eEducation level of father(n=262)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.46708463949843%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003eNo formal education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.86833855799373%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e221\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.86833855799373%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e84.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.19230769230769%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003ePrimary (1-8) education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e14.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.19230769230769%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003eSecondary (9-12) education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e1.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.79623824451411%\" rowspan=\"2\" valign=\"top\" style=\"width: 31.3124%;\"\u003e\n \u003cp\u003eEducation level of mother(n=286)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.46708463949843%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003eNo formal education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.86833855799373%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e268\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.86833855799373%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e93.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.19230769230769%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003ePrimary (1-8) education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e6.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.79623824451411%\" rowspan=\"2\" valign=\"top\" style=\"width: 31.3124%;\"\u003e\n \u003cp\u003eSocial support\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.46708463949843%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003eNo Social support\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.86833855799373%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e385\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.86833855799373%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e92.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"45.19230769230769%\" valign=\"top\" style=\"width: 28.5495%;\"\u003e\n \u003cp\u003ePoor Social support\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 21.1819%;\"\u003e\n \u003cp\u003e30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.403846153846153%\" valign=\"top\" style=\"width: 16.8841%;\"\u003e\n \u003cp\u003e7.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cem\u003e*Others divorced and widowed\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eOthers * beggars, no job\u003cstrong\u003e,\u0026nbsp;\u003c/strong\u003eprivate employer\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(362\u003c/em\u003e, 87.2%) had no work agreement. (Table 2) This finding was also supported by the in-depth interviews: \u0026ldquo;\u003cem\u003eWe are one of the vulnerable groups for VAH because we are females plus working in the other households, and the big issue is most of us having no work agreement. Because of have no work agreements and not ratified Convention No. 189 for that matter if we experienced violence against women, we cannot do anything for our right.\u0026rdquo;\u003c/em\u003e (A 25-year-old woman from Housemaid\u0026rsquo;s Association Leader)\u003c/p\u003e\n\u003cp\u003eThis finding was also supported by the in-depth interviews, which also supported the respondent: \u0026ldquo;\u003cem\u003eThere is no well-organized recruiting system; if the recruiting process is legal, beneficiaries are both the employer and the housemaids. In addition, the ratification of C189 is important, and C189 specifically protects their rights. Most employers and almost all housemaids were not aware of the work agreement. Currently, we are hearing such bad news that the housemaid killed the employer\u0026apos;s child and related news. Yesterday, I received one message from telecom called the Samirawit Foundation; the families established a foundation because they lost their child because of being housemaid. In contrast, \u0026lsquo;employer also violates the right of the housemaid\u0026rsquo;. In my view, if there is a legal way for the recruited system and management by the government, such bad news does not occur or can be minimized, and ratification is also needed\u003c/em\u003e\u0026rdquo; (40-year-old male from the WSA).\u003c/p\u003e\n\u003cp\u003eHalf of the participants (220, 53%) had no specific task, and approximately one-third of the respondents (147, 35.4%) lacked a place of rest in the employer\u0026rsquo;s home.\u0026nbsp;According to the participants\u0026rsquo; responses, the majority (336, 81%) were working more than eight hours per day.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eTable 2: Work-related and\u0026nbsp;\u003c/em\u003e\u003cem\u003epersonal-related factors of housemaids in Jimma town, Southwest Ethiopia, and 2023 (n=415)\u003c/em\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"357\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"55.61797752808989%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eVariable\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.348314606741575%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003eFrequency\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.03370786516854%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003ePer cent\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.89355742296919%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003eDuration on work\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.84873949579832%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.288515406162464%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.969187675070028%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e23.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.05084745762712%\" valign=\"top\"\u003e\n \u003cp\u003e2-4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.20338983050848%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e133\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.74576271186441%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e32\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.05084745762712%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026gt;4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.20338983050848%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e184\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.74576271186441%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e44.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.89355742296919%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eWork agreement\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.84873949579832%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.288515406162464%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.969187675070028%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e12.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.05084745762712%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.20338983050848%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e362\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.74576271186441%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e87.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.89355742296919%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eHaving separate sleeping place in employers home\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.84873949579832%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.288515406162464%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e268\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.969187675070028%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e64.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.05084745762712%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.20338983050848%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e147\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.74576271186441%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e35.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.89355742296919%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eGot job by broker\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.84873949579832%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.288515406162464%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e239\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.969187675070028%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e57.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.05084745762712%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.20338983050848%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e176\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.74576271186441%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e42.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.89355742296919%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eWorking less than eight hours per day\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.84873949579832%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.288515406162464%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.969187675070028%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.05084745762712%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.20338983050848%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e336\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.74576271186441%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e81\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.89355742296919%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eSpecific task\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;(no Job description)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.84873949579832%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.288515406162464%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e195\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.969187675070028%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e47\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.05084745762712%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.20338983050848%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e220\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.74576271186441%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e53\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.89355742296919%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eAnyone who gave gift seeks of sex in working area\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.84873949579832%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.288515406162464%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e124\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.969187675070028%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e29.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.05084745762712%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.20338983050848%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e291\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.74576271186441%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e70.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.89355742296919%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eExperience of violence\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.84873949579832%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.288515406162464%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e319\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.969187675070028%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e76.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.05084745762712%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.20338983050848%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.74576271186441%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e23.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.89355742296919%\" rowspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003eOn set of experienced violence (n=319)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.84873949579832%\" valign=\"top\"\u003e\n \u003cp\u003eFirst month\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.288515406162464%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.969187675070028%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e17.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.05084745762712%\" valign=\"top\"\u003e\n \u003cp\u003eFirst three months\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.20338983050848%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.74576271186441%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.05084745762712%\" valign=\"top\"\u003e\n \u003cp\u003eAfter six months\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.20338983050848%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e243\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.74576271186441%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e76.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.05084745762712%\" valign=\"top\"\u003e\n \u003cp\u003eOthers\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.20338983050848%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.74576271186441%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e4.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.89355742296919%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eAlcohol consumption\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.84873949579832%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.288515406162464%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e171\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.969187675070028%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e41.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.05084745762712%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.20338983050848%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e244\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.74576271186441%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e58.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.89355742296919%\" rowspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003eFrequency in the last 12 months(n=171)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.84873949579832%\" valign=\"top\"\u003e\n \u003cp\u003eEvery day or nearly everyday\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.288515406162464%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.969187675070028%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e1.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.05084745762712%\" valign=\"top\"\u003e\n \u003cp\u003eOnce or twice a week\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.20338983050848%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.74576271186441%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e25.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.05084745762712%\" valign=\"top\"\u003e\n \u003cp\u003eLess than once a week\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.20338983050848%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.74576271186441%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e37.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.05084745762712%\" valign=\"top\"\u003e\n \u003cp\u003eNever\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.20338983050848%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.74576271186441%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e36.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.89355742296919%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eChat chewing\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.84873949579832%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.288515406162464%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e200\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.969187675070028%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e48.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.05084745762712%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.20338983050848%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e215\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.74576271186441%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e51.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.89355742296919%\" rowspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003eFrequency in the last 12 months(n=200)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.84873949579832%\" valign=\"top\"\u003e\n \u003cp\u003eEvery day or nearly everyday\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.288515406162464%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.969187675070028%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e9.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.05084745762712%\" valign=\"top\"\u003e\n \u003cp\u003eOnce or twice a week\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.20338983050848%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.74576271186441%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e43\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.05084745762712%\" valign=\"top\"\u003e\n \u003cp\u003eLess than once a week\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.20338983050848%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.74576271186441%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e43\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.05084745762712%\" valign=\"top\"\u003e\n \u003cp\u003eNever\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.20338983050848%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.74576271186441%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e4.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.89355742296919%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eSmoking cigarette\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.84873949579832%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.288515406162464%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.969187675070028%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.05084745762712%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.20338983050848%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e386\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.74576271186441%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e93\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.89355742296919%\" rowspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003eFrequency in the last 12 months(n=29)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.84873949579832%\" valign=\"top\"\u003e\n \u003cp\u003eEvery day or nearly everyday\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.288515406162464%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.969187675070028%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e13.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.05084745762712%\" valign=\"top\"\u003e\n \u003cp\u003eOnce or twice a week\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.20338983050848%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.74576271186441%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e58.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.05084745762712%\" valign=\"top\"\u003e\n \u003cp\u003eLess than once a week\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.20338983050848%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.74576271186441%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e6.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.05084745762712%\" valign=\"top\"\u003e\n \u003cp\u003eNever\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.20338983050848%\" valign=\"top\" style=\"width: 15.8351%;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.74576271186441%\" valign=\"top\" style=\"width: 21.6999%;\"\u003e\n \u003cp\u003e20.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cem\u003eOthers * first day and first week\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eEmployer-related factors\u003c/p\u003e\n\u003cp\u003eMost of the employers (267, 64.3%) had a family size between 4 and 6, and approximately one-third (142, 34.2%) of the employers had extended families living with them. More than half of the employers (235, 56.6%) used alcohol, and (100 ,42.6%) used alcohol. Approximately half of the employers (236, 56.9%) had chat chewing habits. (Table 3)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eTable 3: Employer-related factors in Jimma town, Southwest Ethiopia, \u0026nbsp;2023 (n=415)\u003c/em\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" align=\"\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.08920187793427%\" valign=\"top\"\u003e\n \u003cp\u003eVariable\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"37.40219092331768%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eCategory\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.145539906103286%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003eFrequency\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.363067292644757%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003ePer cent\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.08920187793427%\" rowspan=\"6\" valign=\"top\"\u003e\n \u003cp\u003eEmployer age\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"37.40219092331768%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003e\u0026lt;30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.145539906103286%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.363067292644757%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e0.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003e30-34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003e35-39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003e40-44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e22.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003e45-49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e109\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e26.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003e\u0026gt;=50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e201\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e48.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.08920187793427%\" rowspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003eEmployer education status\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"37.40219092331768%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eNo formal education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.145539906103286%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.363067292644757%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003ePrimary (1-8) education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e14.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eSecondary (9-12) education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eCollege and above\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e287\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e69.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.08920187793427%\" rowspan=\"5\" valign=\"top\"\u003e\n \u003cp\u003eEmployer occupation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"37.40219092331768%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eMerchant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.145539906103286%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.363067292644757%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e17.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eGovernment employer\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e256\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e61.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003ePrivate employer\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e12.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eHousewife\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e4.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eOthers*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e3.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.08920187793427%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003eType of HH currently employed\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"37.40219092331768%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eMarried couple both living\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.145539906103286%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e408\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.363067292644757%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e98.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eMarried couple but only man living\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e0.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eSingle woman and single man living\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e1.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.08920187793427%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eEmployer alcohol drinking habit\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"37.40219092331768%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.145539906103286%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e235\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.363067292644757%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e56.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e180\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e43.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.08920187793427%\" rowspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003eFrequency of Employer alcohol drinking(n=235)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"37.40219092331768%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eEvery day or nearly everyday\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.145539906103286%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.363067292644757%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e42.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eOnce or twice a week\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e25.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003e1-3 times a month\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eOccasionally less than once a month\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e9.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.08920187793427%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eEmployer chat chewing habit\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"37.40219092331768%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.145539906103286%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e236\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.363067292644757%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e56.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e179\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e43.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.08920187793427%\" rowspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003eFrequency of Employer chewing chat habit(n=236)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"37.40219092331768%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eEvery day or nearly every day\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.145539906103286%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.363067292644757%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e40.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eOnce or twice a week\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e28.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003e1-3 times a month\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e19.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eOccasionally less than once a month\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.08920187793427%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eHousehold members who drinks alcohol\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"37.40219092331768%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.145539906103286%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e125\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.363067292644757%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e30.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e290\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e69.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.08920187793427%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eHousehold members chew chat\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"37.40219092331768%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.145539906103286%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e125\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.363067292644757%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e30.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e290\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e69.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.08920187793427%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003eEmployer family size\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"37.40219092331768%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003e1-3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.145539906103286%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.363067292644757%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e13.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003e4-6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e267\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e64.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003e\u0026gt;6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e22.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.08920187793427%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eExtended family\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"37.40219092331768%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.145539906103286%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e142\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.363067292644757%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e34.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e273\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e65.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.08920187793427%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eLiving with extended family exposed to VAW\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"37.40219092331768%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.145539906103286%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e136\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.363067292644757%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e32.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"59.45273631840796%\" valign=\"top\" style=\"width: 33.375%;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.895522388059703%\" valign=\"top\" style=\"width: 14.0449%;\"\u003e\n \u003cp\u003e279\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.65174129353234%\" valign=\"top\" style=\"width: 17.4551%;\"\u003e\n \u003cp\u003e67.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cem\u003eOthers * have no work, retired\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003ePrevalence and type of violence\u003c/p\u003e\n\u003cp\u003eThe prevalence of at least one type of violence against housemaids in the last 12 months was 56.4% (95% CI: 51.5%-61.2%), and in the work lifetime, it was 61.7% (95% CI: 56.8%-66.4%).\u003c/p\u003e\n\u003cp\u003ePhysical violence\u003c/p\u003e\n\u003cp\u003eA total of 41.9% (95% CI: 37.1%-46.8%) of the housemaids had experienced at least one type of physical violence during their work lifetime, and 35.7% (95% CI: 31.1%-40.5%) reported physical violence during the preceding 12 months.\u003c/p\u003e\n\u003cp\u003ePsychological violence\u003c/p\u003e\n\u003cp\u003eAt least half 55.7% (95% CI: 50.7%-60.5%) of the housemaids had experienced One type of psychological violence occurred during the work lifetime, and 50.1% (95% CI: 45.2%-55%) of the housemaids had experienced at least one type of psychological violence in the past 12 months.\u003c/p\u003e\n\u003cp\u003eSexual violence\u003c/p\u003e\n\u003cp\u003eOne-fourth of the housemaids 28.2% (95% CI: 23.9%-32.8%) had experienced at least one type of sexual violence during their work lifetime, and 19% (95% CI: 15.4%-23.1%) of the housemaids had experienced at least one type of sexual violence in the past 12 months (Figure 1).\u003c/p\u003e\n\u003ch3\u003eOverlap between physical, psychological and sexual violence\u003c/h3\u003e\n\u003cp\u003eAmong the respondents, 7 (1.7%) of the housemaids experienced only physical violence, 52 (12.4%) experienced only psychological violence, and 5 (1%) experienced only sexual violence during their work lifetime. However, 81 (19.5%) of the participants experienced both physical and psychological violence, 14 (3.4%) experienced both physical and sexual violence, and 27 (6.5%) experienced both psychological and sexual violence. Seventy-two (17.3%) of them reported experiencing three types of violence at the same time in their work lifetime. Additionally, more than one-third of them experienced more than one violence 194 (46.7%) (Figure 2). This finding was also supported by the in-depth interview: \u003cem\u003e\u0026ldquo;As professionals, we were faced with many cases, VAH is related to its related behavior, I remember one survivor she was raped by the employer, and when she struggles to escape from the perpetrator, her face is injured, her leg is broken, and she becomes psychologically affected depressed and manifests posttraumatic stress disorders.\u0026rdquo;\u0026nbsp;\u003c/em\u003e(A 38-year-old female health professional)\u003c/p\u003e\n\u003cp\u003eSurvivors of violence against housemaids\u003c/p\u003e\n\u003cp\u003eThis study also assessed the reasons for not responding to the encounter of tone or another form of violence. Among the victims of VAH, only 12 (2.9%) reported to the police, only 33 (8%) went to health care providers, and no one went to law enforcing bodies, victim shelters, women\u0026rsquo;s organizations, religious leaders, informal help-seeking, \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;4 (1%) family members/relatives or 5 (1.2%) peers when they encountered violence. The respondents were asked to mention their reasons for their silence, and they mentioned that more than one-third (43.7%) reported that they did not know what to do, 37.3% reported that violence was normal/not serious, and 12.9% were afraid of perpetrators (Figure 3). This finding was also supported by the in-depth interviews: \u003cem\u003e\u0026ldquo;We expect the prevalence of violence among housemaids is high, but we have no data. Housemaids come for help in rare cases because most do not know what to do after they experience violence. However, when they came to us, we gave usual assistance to them.\u0026rdquo;\u0026nbsp;\u003c/em\u003e(A 40-year-old woman from WSA)\u003c/p\u003e\n\u003cp\u003eThis finding was also supported by the in-depth interview \u003cem\u003e\u0026ldquo;It is my story, when I came from rural I hired in one house female employer always beating me, insulting me, not give to enough food she has locked the \u0026lsquo;enjera and wot\u0026rsquo; after I prepared, sleeping place is not suitable I slept at the kitchen with no door at the floor, I work over 16 hours per day, the children also insult me you dull \u0026hellip;. Then, I said to her I want to leave the house, but she could not want to pay my salary, am accepting violence as a normal or I do not know what to do; at that time, I was not seeking any formal help only i told to my peers/friends, but they cannot help me\u003c/em\u003e.\u0026rdquo; (A 24-year female from the Housemaid Association)\u003c/p\u003e\n\u003ch3\u003ePerpetrators of violence against housemaids\u003c/h3\u003e\n\u003cp\u003eAccording to the results, the majority of violence was perpetrated by employers themselves (181, 43.1%), followed by household members (127, 30.2%). The majority of psychological violence was perpetrated by employers (275, 44.6%), followed by household members (184, 30.1%). In this study, sixty-seven (30%) housemaids reported that sexual violence perpetrators were employers\u0026rsquo; relatives, followed by house members (46, 20.6%), and \u0026nbsp; \u0026nbsp; \u0026nbsp;( 43 ,19.3%) reported being violated by unknown persons and friends (Figure 4). This finding was also supported by the in-depth interview: \u003cem\u003e\u0026ldquo;When they came to the service, we had been asking them, violence against housemaids are different parties involved; most of the perpetrators are employers, employer children or house members, employer relatives such as brothers, sisters, and unknown persons. Especially in sexual violence, common male employers, others most of the time hidden perpetrators are brokers, many cases we know, I remember one client the broker rape her, and she came to us for abortion service, she told me secretly, and another housemaid also told me when I go to buying bread in the morning unknown person raped me at the jungle.\u0026rdquo;\u0026nbsp;\u003c/em\u003e(A 38-year female health professional)\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eThis finding was also supported by the other in-depth interview: \u0026ldquo;I know many cases, but for the time being, one housemaid her age is approximately 15\u0026ndash;17. Her female employer always beat her and kicked, and insults her. One day, the employer inserted a stick into her nose. She cried, shouted, and became bleeding. At that time, I was working at a neighbor\u0026rsquo;s house.\u0026quot;\u0026nbsp;\u003c/em\u003e(A 25-year-old female from Housemaid\u0026rsquo;s Association Leader)\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThis finding was also supported by another in-depth interview: \u003cem\u003e\u0026ldquo;It\u0026rsquo;s my history. One day, the employers went to the workplace. The child of employers constantly insisted on having sex with me. One day, he came and forced me to have sex, but I shouted aggressively and he left, though he didn\u0026rsquo;t injure me, and I left the house.\u003c/em\u003e (A 22-year-old female from the housemaid association leader)\u003c/p\u003e\n\u003ch2\u003eHealth\u0026nbsp;consequences\u003c/h2\u003e\n\u003cp\u003eThe consequences of physical violence reported by the respondents included pain (145, 59.2%) and injury/wound (86, 35.1%). Following psychological violence, the respondents reported that (224, 32.1%) cried and (224, 31.9%) felt nervous tense or worried. After experiencing sexual violence, the study participants reported that (87, 62.1%) felt fear of discomfort, (26, 18.6%) experienced an abortion, and (14, 10%) became pregnant. This finding was also supported by the in-depth interview: \u0026ldquo;\u003cem\u003eMost of the time they come for abortion services, but we give counseling, HIV test and if her result becomes positive, we send to treatment for HIV anti-retroviral therapy/ART/\u003cdel cite=\"mailto:Editor%202\" datetime=\"2024-06-05T22:48\"\u003e\u0026nbsp;\u003c/del\u003eservice after she received the CAC service, we recommend using family planning also. In many cases, I remember one case; she was a housemaid. She came for an abortion, but we did an examination, and she became HIV positive.\u0026rdquo;\u0026nbsp;\u003c/em\u003e(A 37-year-old female health professional)\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe finding was also supported by another professional in the in-depth interview: \u003cem\u003e\u0026ldquo;They came for help, little of them were raped or pregnant, and when we do an examination, they are found to have HIV/AIDS or STI, pregnancy, various uterine infections/diseases.\u0026rdquo;\u0026nbsp;\u003c/em\u003e(A 38-year-old woman from a health professional)\u003c/p\u003e\n\u003cp\u003eFactors associated with violence against housemaids work lifetime\u003c/p\u003e\n\u003cp\u003eBivariate and multivariate logistic regression was used to assess factors associated with VAH in Jimma town. According to the bivariate analysis, the variables that had p values \u0026lt; 0.25, which were identified for the multivariable analysis, were age, educational status, previous residence (grow up),got job by broker, duration of work, any person give \u0026nbsp;gift for seeking sex in the employer\u0026rsquo;s home, having a separate sleeping place, working less than eight hours per day, lack of a specific task (no job description), drinking habit, chew chat habit, social support, employer drinking habit, family size, and living with an extended family exposed to violence. These variables were associated with the experience of VAH after being housemaid work lifetime in the bivariate model.\u003c/p\u003e\n\u003cp\u003eHousemaids with no formal education were 3.7 (AOR=95% CI: 1.220-11.335) times more likely to experience VAH in their work lifetime than those who had an educational level of college and above. Housemaids who had more than four years of work experience were 2.6 (AOR= 95% CI: 1.449-4.994) times more likely to experience violence than those who had less than two years of experience, and housemaids who had two to four years duration of work experience were 2.4 (AOR=95% CI: 1.292-4.619) times more likely to experience VAH than those who had less than two years of experience. The qualitative results indicate that the real-time occurrence of VAH is unknown, but the duration and experience of violence are interrelated, as reported by the housemaid\u0026rsquo;s association leaders. Housemaids who got job by broker obtained were 2.8 (AOR=95% CI: 1.721-4.622) times more likely to experience VAH than their counterparts were. Housemaids lacking a specific task 1.7 (AOR=95% CI: 1.074-2.905) times more likely to experience VAH than their counterparts. Housemaid individuals who had no social support 4.5 (AOR=95% CI: 1.563-12.894) times more likely to experience VAH counterparts. Employer\u0026rsquo;s home who had greater than six family size 5.4(AOR: 95%CI: 2.194-13.490) times more likely to commit VAH than having family member less than four family size (Table 5).\u0026nbsp;\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eThis study aimed to assess the prevalence and associated factors of VAH in Jimma town. This study revealed that the overall prevalence of work lifetime VAH was 61.7% (95% CI: 56.8%-66.4%). This finding coincides with the study at Addis Ababa, which reported that the magnitude of VAH during their work lifetime was 58.8%\u0026nbsp;[36]. This similarity might be due to societal and cultural attitudes and economic and lack of legal protection may result in shared vulnerability to violence in different places.\u003c/p\u003e\n\u003cp\u003eThis finding is lower than the\u0026nbsp;80% reported in\u0026nbsp;a study among housemaids in\u0026nbsp;Ecuador\u0026nbsp;[37]. The variation may be due to differences in socioeconomic factors; Ecuador ranks 95\u003csup\u003eth\u003c/sup\u003e, and Ethiopia ranks 175\u003csup\u003eth\u003c/sup\u003e among 191 countries that have different levels of economic development, which can impact the working conditions and treatment of housemaids [38]. The ILO Convention 189 ratified by Ecuador increased the ability to exercise their right [39]. The level of awareness and reporting of VAH can vary with media campaigns specific to housemaids [37]. In Ethiopia, the level of reporting is low, with people understanding violence or accepting violence as normal and keeping silent.\u003c/p\u003e\n\u003cp\u003eThis finding is higher than that of a study in which the Hawassa Work Lifetime prevalence was 20.9%\u0026nbsp;[40]. A possible explanation might be that the study settings involved school participants who were wide open to education due to variation in the denominator used to calculate the prevalence, study time, and work lifetime of VAH, which increased when COVID-19 emerged as an outbreak. The study was conducted before COVID-19.\u003c/p\u003e\n\u003cp\u003eThis study revealed that the prevalence of physical violence was 41.9% (95% CI: 37.1%-46.8%). This finding coincides with that of a 37.1% study on housemaids at Debre Tabor\u0026nbsp;[41].\u003c/p\u003e\n\u003cp\u003eIn this study, the prevalence of physical violence was greater than that in studies involving housemaids.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eTable\u0026nbsp;\u003c/em\u003e\u003cem\u003e4: Bivariate and multivariate logistic regression results of factors associated with violence against housemaids work life time in Jimma town, Southwest Ethiopia, 2023\u003c/em\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" align=\"\" width=\"747\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.301204819277107%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eVariables\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.92235609103079%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eCategory\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.214190093708165%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eViolence against housemaids\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.00937081659973%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eCOR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.552878179384205%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eAOR\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eYes (n=256)\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;N (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eNo (n=159) N (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.267379679144383%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003eAge\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" valign=\"top\"\u003e\n \u003cp\u003e15-19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e130(57)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e98(43)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.983957219251337%\" valign=\"top\"\u003e\n \u003cp\u003e0.559(0.294-1.060)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.524064171122994%\" valign=\"top\"\u003e\n \u003cp\u003e0.510(0.236-1.104)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.6046511627907%\" valign=\"top\"\u003e\n \u003cp\u003e20-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e88(66.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e45(33.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.402504472271914%\" valign=\"top\"\u003e\n \u003cp\u003e0.823(0.415-1.635)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.801431127012524%\" valign=\"top\"\u003e\n \u003cp\u003e0.774(0.399-1.768)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.6046511627907%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026gt;=25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e38(70.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e16(29.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.402504472271914%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.801431127012524%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.267379679144383%\" rowspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003eEducational status\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" valign=\"top\"\u003e\n \u003cp\u003eNo formal education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e142(83)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e29(17)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.983957219251337%\" valign=\"top\"\u003e\n \u003cp\u003e4.407(1.645-11.802)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.524064171122994%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e3.719(1.220-11.335)*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.6046511627907%\" valign=\"top\"\u003e\n \u003cp\u003ePrimary\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e77(54.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e65(45.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.402504472271914%\" valign=\"top\"\u003e\n \u003cp\u003e1.066(0.409-2.782)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.801431127012524%\" valign=\"top\"\u003e\n \u003cp\u003e1.284(0.430-3.830)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.6046511627907%\" valign=\"top\"\u003e\n \u003cp\u003eSecondary\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e27(32.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e56(67.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.402504472271914%\" valign=\"top\"\u003e\n \u003cp\u003e0.434(0.158-1.192)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.801431127012524%\" valign=\"top\"\u003e\n \u003cp\u003e0.608(0.192-1.922)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.6046511627907%\" valign=\"top\"\u003e\n \u003cp\u003eCollege and above\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e10(52.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e9(47.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.402504472271914%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.801431127012524%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.267379679144383%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eGrow up\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" valign=\"top\"\u003e\n \u003cp\u003eRural\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e214(65)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e115(35)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.983957219251337%\" valign=\"top\"\u003e\n \u003cp\u003e0.513(0.318-0.829)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.524064171122994%\" valign=\"top\"\u003e\n \u003cp\u003e1.039(0.567-1.907)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.6046511627907%\" valign=\"top\"\u003e\n \u003cp\u003eUrban\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e42(48.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e44(51.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.402504472271914%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.801431127012524%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.267379679144383%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003eDuration of work\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e50(51)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e48(49)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.983957219251337%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.524064171122994%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.6046511627907%\" valign=\"top\"\u003e\n \u003cp\u003e2-4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e83(62.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e50(37.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.402504472271914%\" valign=\"top\"\u003e\n \u003cp\u003e1.729(1.019-2.935)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.801431127012524%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e2.443(1.292-4.619)*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.6046511627907%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026gt;4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e125(67.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e59(32.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.402504472271914%\" valign=\"top\"\u003e\n \u003cp\u003e2.207(1.335-3.648)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.801431127012524%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e2.690(1.449-4.994)*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.267379679144383%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eGot job by broker\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e75(42.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e101(57.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.983957219251337%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.524064171122994%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.6046511627907%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e181(75.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e58(24.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.402504472271914%\" valign=\"top\"\u003e\n \u003cp\u003e4.203(2.760-6.398)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.801431127012524%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e2.820(1.721-4.622)*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.267379679144383%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eAnyone who gave gift seek of sex in employers home\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e170(58.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e121(41.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.983957219251337%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.524064171122994%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.6046511627907%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e86(69.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e38(30.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.402504472271914%\" valign=\"top\"\u003e\n \u003cp\u003e1.611(1.030-2.520)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.801431127012524%\" valign=\"top\"\u003e\n \u003cp\u003e1.393(0.798-2.433)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.267379679144383%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eLack of specific task\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e152(69.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e68(30.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.983957219251337%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.524064171122994%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.6046511627907%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e104(53.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e91(46.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.402504472271914%\" valign=\"top\"\u003e\n \u003cp\u003e0.511(0.342-0.764)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.801431127012524%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.766(1.074-2.905)*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.267379679144383%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eHaving separate sleeping place in employers home\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e78(53.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e69(46.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.983957219251337%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.524064171122994%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.6046511627907%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e178(66.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e90(33.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.402504472271914%\" valign=\"top\"\u003e\n \u003cp\u003e1.750(1.160-2.640)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.801431127012524%\" valign=\"top\"\u003e\n \u003cp\u003e1.425(0.832-2.440)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.267379679144383%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eWorking less than eight hrs./day\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e36(45.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e43(54.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.983957219251337%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.524064171122994%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.6046511627907%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e220(65.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e116(34.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.402504472271914%\" valign=\"top\"\u003e\n \u003cp\u003e2.265(1.379-3.722)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.801431127012524%\" valign=\"top\"\u003e\n \u003cp\u003e1.096(0.571-2.104)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.267379679144383%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eDrinking alcohol\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e137(56.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e107(43.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.983957219251337%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.524064171122994%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.6046511627907%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e119(69.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e52(30.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.402504472271914%\" valign=\"top\"\u003e\n \u003cp\u003e1.787(1.183-2.700)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.801431127012524%\" valign=\"top\"\u003e\n \u003cp\u003e1.572(0915-2.700)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.267379679144383%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eChewing chat habit\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e121(56.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e94(43.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.983957219251337%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.524064171122994%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.6046511627907%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e135(67.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e65(32.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.402504472271914%\" valign=\"top\"\u003e\n \u003cp\u003e1.613(1.081-2.408)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.801431127012524%\" valign=\"top\"\u003e\n \u003cp\u003e0.651(0.374-1.135)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.267379679144383%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eSocial support\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e247(64.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e138(35.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.983957219251337%\" valign=\"top\"\u003e\n \u003cp\u003e4.176(1.861-9.371)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.524064171122994%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e4.490(1.563-12.894)*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.6046511627907%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e9(30)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e21(70)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.402504472271914%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.801431127012524%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.267379679144383%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eEmployer drinking habit\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e99(55)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e81(45)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.983957219251337%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.524064171122994%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.6046511627907%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e157(66.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e78(33.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.402504472271914%\" valign=\"top\"\u003e\n \u003cp\u003e1.647(1.104-2.457)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.801431127012524%\" valign=\"top\"\u003e\n \u003cp\u003e1.018(0.587-1.767)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.267379679144383%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003eFamily size\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" valign=\"top\"\u003e\n \u003cp\u003e1-3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e23(42.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e31(57.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.983957219251337%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.524064171122994%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.6046511627907%\" valign=\"top\"\u003e\n \u003cp\u003e4-6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e157(58.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e110(41.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.402504472271914%\" valign=\"top\"\u003e\n \u003cp\u003e1.924(1.064-3.477)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.801431127012524%\" valign=\"top\"\u003e\n \u003cp\u003e2.017(0.998-4.076)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.6046511627907%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026gt;6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e76(80.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e18(19.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.402504472271914%\" valign=\"top\"\u003e\n \u003cp\u003e5.691(2.702-11.986)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.801431127012524%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e5.440(2.194-13.490)*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.267379679144383%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eExtended family exposed to VAW\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e156(55.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.16042780748663%\" valign=\"top\"\u003e\n \u003cp\u003e123(44.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.983957219251337%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.524064171122994%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.6046511627907%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e100(73.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.595706618962433%\" valign=\"top\"\u003e\n \u003cp\u003e36(26.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.402504472271914%\" valign=\"top\"\u003e\n \u003cp\u003e2.190(1.399-3.429)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.801431127012524%\" valign=\"top\"\u003e\n \u003cp\u003e1.735(0.950-3.168)\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 AOR=Adjusted odd ratio, COR=crude odd ratio, CI=confidence interval\u003c/em\u003e\u003cstrong\u003e\u003c/strong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e16.3% of Mekelle town\u0026nbsp;[31]. A possible explanation might be the socio-demographic differences in the socio-cultures of the northern and southwestern regions, the different study periods before the COVID-19 pandemic, and the understanding of violence or the acceptance of violence as a normal and silent approach.\u003c/p\u003e\n\u003cp\u003eA school-based study performed at Addis Ababa on housemaids reported that the prevalence of physical violence was 33.6% [36]. This finding is higher than that of the present study; the variation might be study setup was at school \u0026nbsp;grade level difference excludes out of \u0026nbsp;school understanding of violence in both group may be differ ,and the other reason might be that schools have policies to prevent physical violence compared to less controlled diverse communities or low reporting.\u003c/p\u003e\n\u003cp\u003eA community-based study at Kombolcha VAH reported a prevalence of 33.49% [42]. This finding is higher than that of other studies, possibly because of the difference might be in the sample size difference of the denominator used to calculate the prevalence and study \u0026nbsp;conducted at the onset of COVID-19.\u003c/p\u003e\n\u003cp\u003eThe prevalence of physical violence in this study was higher than that in a study conducted in 10% of Peru\u0026nbsp;[18]. A possible explanation might be that they are ratified\u0026nbsp;by the convention. This finding\u0026nbsp;is lower than\u0026nbsp;that of a study\u0026nbsp;in\u0026nbsp;Kuwait (82%)\u0026nbsp;[43]. A possible explanation might be that the workers were migrants from different countries, with socio-demographic differences and tool differences.\u003c/p\u003e\n\u003cp\u003eIn this study, the prevalence of psychological violence was found to be 55.7% (95% CI: 50.7%-60.5%). This finding was consistent with those of studies on housemaids at Addis Ababa (53.6%), Debre Tabor (56.3%) and Hong Kong (58%)\u0026nbsp;[16,36,44]. This finding\u0026nbsp;is higher than\u0026nbsp;that of a study\u0026nbsp;in\u0026nbsp;India\u0026nbsp;(25.2%)\u0026nbsp;[45]. The\u0026nbsp;differences\u0026nbsp;might be cultural and societal\u0026nbsp;norms, levels\u0026nbsp;of awareness and reporting. This finding\u0026nbsp;is lower than\u0026nbsp;that in studies of\u0026nbsp;psychological violence\u0026nbsp;at Nairobi\u0026nbsp;(73%)\u0026nbsp;and Kuwait\u0026nbsp;(88%)\u0026nbsp;[18,43]. The difference might be\u0026nbsp;the level of awareness and reporting,\u0026nbsp;cultural, and societal norms,\u0026nbsp;or migrant workers.\u0026nbsp;This finding\u0026nbsp;is lower than\u0026nbsp;that of a study at Oregon\u0026nbsp;(65%)\u0026nbsp;[46].\u0026nbsp;The\u0026nbsp;differences\u0026nbsp;might be socio-demographic, study population, cultural and societal\u0026nbsp;norms, different\u0026nbsp;legal\u0026nbsp;frameworks, and different levels\u0026nbsp;of awareness about their\u0026nbsp;rights.\u003c/p\u003e\n\u003cp\u003eIn this study, the prevalence of sexual violence was 28.2% (95% CI: 23.9%-32.8%).This finding was consistent with those studies of Addis Ababa (29.6%)[36], Debre Tabor (27.8%)[30], AddisAbaba(28.6%)\u0026nbsp;[47],Nairobi(24.5%), and Peru (30%)\u0026nbsp;[18].\u003c/p\u003e\n\u003cp\u003eHowever, this finding is lower than the study done at Gedio zone 60.2% \u0026nbsp; [48] and Harar (72%) [49]. The discrepancy may be due to differences in the accessibility of information; other factors may be low reporting, attitudes toward sexual violence, and study settings where clinics came for the service, and at night, school study participants might increase their vulnerability due to differences in response rates and tools. Several Ethiopian towns have different cultural and socioeconomic characteristics.\u003c/p\u003e\n\u003cp\u003eThis finding is higher than the study\u0026nbsp;14%\u0026nbsp;reported in Portugal and\u0026nbsp;the USA Oregon\u0026nbsp;[46,50].\u0026nbsp;The variation might be due to differences in\u0026nbsp;the cultural characteristics of the study population\u0026nbsp;and socioeconomic\u0026nbsp;differences\u0026nbsp;between\u0026nbsp;the two countries. Portugal is\u0026nbsp;a highly developed country with\u0026nbsp;a relatively high\u0026nbsp;economic level;\u0026nbsp;the\u0026nbsp;Human Development Index (HDI) ranks 38\u003csup\u003eth\u003c/sup\u003e\u003csup\u003e,\u003c/sup\u003e and the USA ranks 19\u003csup\u003eth\u0026nbsp;\u003c/sup\u003eout of 191 countries, while Ethiopia ranks 175\u003csup\u003eth\u0026nbsp;\u003c/sup\u003eout of 191\u0026nbsp;[38]. Additionally,\u0026nbsp;in terms of legal protection for workers, among 191 countries,\u0026nbsp;the USA and Portugal\u0026nbsp;are the\u0026nbsp;25\u003csup\u003eth\u003c/sup\u003e-largest\u0026nbsp;countries\u0026nbsp;for women to live\u0026nbsp;[8,51].\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThese studies showed that compared with those with a college education or above, housemaids with no formal education were four times more likely to experience VAH in the work lifetime with compared with the educational level of college and above during their lifetime. This finding is supported by studies by Debre Tabor and Harer\u0026nbsp;[44,49].\u003c/p\u003e\n\u003cp\u003eOne of the key informants explained this as follows: \u0026ldquo;\u003cem\u003eMost of the housemaids who came to health facilities are illiterate, and many of them were unable to write their names and use their fingerprints when they were required to express their consent for the CAC service. When defining risky conditions among uneducated women, less educated women had lower awareness. They almost did not read and understand SRH information. These women have problems with early understanding of warning signs when they are harassed by any individual. Even, some of them are not alert of what has to in the case of abuse.\u003c/em\u003e\u0026rdquo; (38-year-old female health professional)\u003c/p\u003e\n\u003cp\u003eThis may be because the experience of violence declines with increasing education because education can increase awareness of legal protection and labor rights and access to information and enhance communication skills. These findings indicate and confirm the importance of empowering and promoting social and economic inclusion for all those recommended by the SDGs.\u003c/p\u003e\n\u003cp\u003eIn this study, individuals with a duration of work greater than four years were three times more likely to experience VAH than those with a duration of work less than two years, and individuals with a duration of work two to four years were two times more likely to experience VAH than those with a duration of work less than two years. This finding was supported by other studies on housemaids in Debre Tabor [41]. This finding was supported by the in-depth \u003cem\u003einterviews: \u0026ldquo;We experience VAH as we join the house (work), they insult like you dull, donkey\u0026hellip;, or they beat, slap, throwing material,\u0026hellip;or we experienced such sexual violence, joking, touching sensitive parts even rape. With increasing time in the sector, we also experienced more types of violence against housemaids\u0026rdquo;\u003c/em\u003e (a 23-year-old woman from a housemaid association leader).\u003c/p\u003e\n\u003cp\u003eOne of the key informants contradicted this statement: \u0026ldquo;\u003cem\u003eI know that employers and housemaids who live in good relationships. I know many families, for the time being let me tell you one history. There was a housemaid who entered the household seven years ago. The employers saw her as their children. They encouraged her to start school, and now she is a grade seven student; they are paying her salary on time; she has rest time. In general, they have good relations. Therefore, time is not important; the main thing is good relationships\u003c/em\u003e.\u0026rdquo; (A 22-year-old woman from a Housemaid Association leader)\u003c/p\u003e\n\u003cp\u003eThe possible reason might be that, staying longer in the sector, the housemaids are restricted and spend their whole time at the employer\u0026rsquo;s home. Along with long hours in work and close interaction with employers, family members who were the main perpetrators of violence against housemaids in domestic settings also considered violence to be normal and to remain silent. The other reason might be that, in some cases, long-term housemaids may become desensitized to mistreatment or violence due to prolonged exposure. They may come to accept such behavior as a normal part of their job or believe that they have no alternative options or the right of employer.\u003c/p\u003e\n\u003cp\u003eIn this study, compared with their peers, housemaids who obtained employment from brokers were three times more likely to experience lifelong work violence. This finding was supported by the findings of other studies on housemaids in Addis Ababa [52,53]. \u003cem\u003e\u0026ldquo;\u0026hellip;Moreover, when they are enlisted by a broker, less sure than those who are hired by a family, relative or companion since the brokers think as it was around the incentive they\u0026nbsp;\u003c/em\u003ereceived\u0026rdquo; (a 47-year-old man from the WASA).\u003c/p\u003e\n\u003cp\u003eA possible justification might be that employment agencies or brokers tend to take the side of employers in disputes with employees because employers have more money and because housemaids are dispensable because there is a regular pipeline. In addition, there may be a lack of legal information on how brokers focus on the commission rather than on the security of housemaids.\u003c/p\u003e\n\u003cp\u003eHousemaids with a lack of specific tasks were two times more likely to experience VAH than their counterparts were. This finding is supported by other study by Harer\u0026nbsp;[49]. This finding was supported by the results of an in-depth interview with the housemaid association, which revealed that \u0026ldquo;\u003cem\u003ethe employers engaged the housemaids in different tasks, including massaging the male employer body\u0026rdquo;\u003c/em\u003e (22 years the housemaid association leader).\u003c/p\u003e\n\u003cp\u003eA possible explanation might be that housemaids with specific tasks often operate with clear instructions and defined duties, reducing ambiguity and conflicts arising from misunderstandings.\u003c/p\u003e\n\u003cp\u003eThis study revealed that housemaid had no social support were five times more likely to experience VAH than their counterparts. This finding was supported by another study at Bahir Dar\u0026nbsp;[54]. A possible explanation might be that a lack of social support can increase people\u0026rsquo;s susceptibility to abuse. Social support plays a crucial role in promoting emotional well-being by providing individuals with a sense of belonging, validation, and emotional comfort. This can help them cope with the challenges they face and reduce the negative impact of violence.\u003c/p\u003e\n\u003cp\u003eIn this study, housemaids living with employer family size greater than six were three times experienced violence compared to having family size less than four. This finding is similar to that of a study performed in Hawassa\u0026nbsp;[14]. A possible explanation might be that when there are many families living, the probable causes of violence increase as well, which increases the likelihood of housemaid violence. Large families often have more household responsibilities, and demands can result in a higher workload for the housemaid, who may be expected to handle various tasks. This pressure can create a stressful environment, increasing the likelihood of conflicts and potential violence. When interpreting the findings of this study, the following limitations should be considered. As this study examined personal and sensitive issues, obtaining honest responses about women\u0026rsquo;s history of violence (especially about sexual violence) might have been difficult.\u003c/p\u003e\n\u003cp\u003eRecall bias on work lifetime experience. Conversely, few studies have focused on marginalized, vulnerable and the most neglected population groups. Additionally, a standard tool was designed based on the standard WHO Multicounty Study Questionnaire. This study used both qualitative and qualitative methods (mixed approach) to increase the reliability and credibility of the findings, and the results were triangulated.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eIn this study, violence against housemaids was found to be a major problem. Six out of ten participants had faced at least one form of VAH during their work lifetime. Over one-third of the participants experienced more than one type of violence. The independent variables of violence against housemaids were educational status, duration of work, got job by broker, lack of a specific task, social support, and family size. Qualitatively, the key informants emphasized that a work agreement is essential for combatting VAH because of the lack of a well-organized system and the lack of ratification of convention 189, which exposes housemaids to VAH. The types of violence they face at VAHs mostly affect them, and they experience all three types of VAHs. Because the perpetrators are employers, their children, household members and the hidden perpetrators are brokers; after they are exposed to VAH or become survivors, they do not know how to respond keep silent. Addressing such determinants will require multisectoral interventions. Therefore, integrated interventions such as increasing the school enrollment of groups such as housemaids are needed. Displaying IEC materials (posters, pamphlets, etc...) in major public service centers, squares depicting the very high prevalence and severe nature of the violence being committed against housemaids by employers in the community. Awareness campaigns should be conducted to educate employers, housemaids, and the general public about the rights and responsibilities of housemaids by assigning housemaids week and housemaid days. Creating alternative employment opportunities for victim housemaids and reducing the reliance on domestic work. The proper oversight of broker activities should be ensured, and awareness about rights should be increased. Empowering and reporting violence, as a crime and improving community awareness of housemaid violence are needed. Training programs for housemaids can empower them with knowledge and skills to assert their rights and protect themselves from abuse. Housemaids should be accepted as a profession to minimize abusive environments. Give love, care, and affection to them as family members.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eIDI, in-depth interview; ILO, International Labor Organization; IPV, intimate partner violence; NGO, nongovernmental organization; ODK, open data toolkit; WHO, World Health Organization; VAH, violence against housemaids.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003eEthical Consideration\u003c/p\u003e \u003cp\u003eEthical clearance and approval were obtained from the Institutional Review Board of Jimma University, Institute of Health (Ref.No:JUIH/IRB/444/23)[\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e]. All of the study participants were informed about the purpose of the study, their right to refuse, and their confidentiality, and written informed consent was obtained before the interview. For minors\u0026thinsp;\u0026lt;\u0026thinsp;18, written informed consent from their parent/legal guardian and written assent from the children were obtained to participate. Each participant was informed before the interview that if someone interrupted the interview, the topic would be changed to a pre-agreed neutral topic on women\u0026rsquo;s health. At the end of each interview, females who were victims of violence and who did not seek care were informed about the necessity of medical care and legal protection as well as where it was given.\u003c/p\u003e\n\u003cp\u003eData Sharing Statement\u003c/p\u003e\n\u003cp\u003eThe dataset for the current study is available from the corresponding authors upon reasonable request.\u003c/p\u003e\n\u003cp\u003eEthics Approval and Consent to Participate\u003c/p\u003e\n\u003cp\u003eAll study methods were performed in accordance with the ethical principles of the Declaration of Helsinki [55]. \u0026nbsp;Ethical clearance was obtained from the institutional review board (Ref.No: JUIH/IRB/444/23) of the institute of health, Jimma University. An official letter of permission was obtained from Jimma town Health office. The purpose of the study was explained to each study participant before written informed consent was obtained from each participant aged 18 years and older. For those under 18 years, verbal assent was obtained from their parent after describing the purpose and benefits of the study. The interviews were performed in private and secure places, usually in a room or other space without the employer present. Confidentiality of the responses\u003c/p\u003e\n\u003cp\u003eAcknowledgments\u003c/p\u003e\n\u003cp\u003eWe express our genuine thanks to all individuals who contributed to the study respondents, the data collectors, and Jimma University.\u003c/p\u003e\n\u003cp\u003eAuthor Contributions\u003c/p\u003e\n\u003cp\u003eAll the authors played a significant role in the work reported, whether in the conception, study design, execution, attainment of data, analysis, and interpretation, or in all the areas in which the article was drafted, revised, or critically reviewed, gave final approval of the version to be published, agreed on the journal to which the article has been submitted, and agreed to be accountable for all parts of the paper.\u003c/p\u003e\n\u003cp\u003eFunding\u003c/p\u003e\n\u003cp\u003eThe research work was funded by Jimma University. The funders had no role in the study design, data collection, analysis, decision to publish, or preparation\u003cbr\u003eof the manuscript.\u003c/p\u003e\n\u003cp\u003eDisclosure\u003c/p\u003e\n\u003cp\u003eThe authors declare no competing interests in this work.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eGarc\u0026iacute;a-Moreno C, Pallitto C, Devries K, St\u0026ouml;ckl H, Watts C AN. Global and regional estimates of violence against women: prevalence and health effects of intimate partner violence and non-partner sexual violence. Geneva:World Health Organization. 2013; \u003c/li\u003e\n\u003cli\u003eKishor S, Johnson K. Gender-Based Violence: Impediment to Reproductive Health. Lancet Soc Sci Med Phys Abus Dur Pregnancy Cana-dian Med Assoc J [Internet]. 1999;(4):11\u0026ndash;2. Available from: www.who.int/gender/\u003c/li\u003e\n\u003cli\u003eHeise L, Jansen HAFM, Heise L, Watts C. 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Available from: https://doi.org/10.1016/j.jmh.2023.100154\u003c/li\u003e\n\u003cli\u003eAzanaw KA, Gelagay AA, Teshome DF. Physical Violence and Associated Factors among Housemaids Living in Debre-Tabor Town , Northwest Ethiopia : Does Employer Alcohol Intake Increase Housemaid Violence ? 2019;2019. \u003c/li\u003e\n\u003cli\u003eAdane M, Kloos H, Mezemir Y, Muche A, Amsalu E. Violence against housemaids in an Ethiopian town during the early phase of the COVID-19 pandemic: a cross-sectional study. BMC Womens Health. 2019;23(1):1\u0026ndash;13. \u003c/li\u003e\n\u003cli\u003eAlanezi F, Saleh A Al. Violence against Female Domestic Workers in Kuwait. 2022;21(4):106\u0026ndash;19. \u003c/li\u003e\n\u003cli\u003eAzanaw K, Gelagay AA, Lakew AM. Psychological Violence and Associated Factors Among Housemaid\u0026rsquo;s in Northwest Ethiopia. 2020; \u003c/li\u003e\n\u003cli\u003ePanda PK. Domestic Violence against Women in Kerala. 2004. \u003c/li\u003e\n\u003cli\u003eNakaishi L, Moss H, Weinstein M E al. Exploring workplace violence among home care workers in a consumer-driven home health care program. Pubmed. 2013; \u003c/li\u003e\n\u003cli\u003eMahilet Getachew. Prevalence and determinants of sexual violence among female housemaids in selected junior secondary night school:cross sectional study Addis Ababa, Ethiopia 2015. 2015;(June). \u003c/li\u003e\n\u003cli\u003eGezahegn K, Semagn S, Shaka MF. Prevalence of sexual violence and its associated factors among housemaids attending evening schools in urban settings of Gedeo zone, Southern Ethiopia: A school based cross sectional study. PLoS One [Internet]. 2021;16(10 October):1\u0026ndash;14. Available from: http://dx.doi.org/10.1371/journal.pone.0258953\u003c/li\u003e\n\u003cli\u003eAndualem Mustefa Amza. Sexual Violence against Women Domestic Worker Clients at Harar Higher Sexual and Reproductive Health Model Clinic of Family Guidance Association of Ethiopia , Eastern Ethiopia. 2014;(August). \u003c/li\u003e\n\u003cli\u003eS. S, Ilango P. The Domestic Workers Faced by Domestic Violence. SSRN Electron J. 2014;(October). \u003c/li\u003e\n\u003cli\u003eU.S. News. Best Countries for Women U.S. News. 2023. \u003c/li\u003e\n\u003cli\u003eMulugeta K, Mandefro H, Alemie A. Vulnerability, legal protection, and work conditions of female domestic workers in Addis Ababa, Ethiopia. Adv Soc Work. 2020;20(3):532\u0026ndash;58. \u003c/li\u003e\n\u003cli\u003eYared Getachew. ASSESSMENT OF VIOLENCE AGAINST FEMALE DOMESTIC WORKERS IN GULELE SUB-CITY. 2006; \u003c/li\u003e\n\u003cli\u003eAsheber S. Magnitude and Factors with Sexual Violnece Among Housemaids Attending Night School in Bahir Dar City , North. 2022. \u003c/li\u003e\n\u003cli\u003eCantin M. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. 2014; \u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-research-notes","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"resn","sideBox":"Learn more about [BMC Research Notes](http://bmcresnotes.biomedcentral.com)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/resn/default.aspx","title":"BMC Research Notes","twitterHandle":"@BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"violence against housemaids, Jimma town, southwest, Ethiopia","lastPublishedDoi":"10.21203/rs.3.rs-4536485/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4536485/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eViolence against women is a pervasive public health problem that remains hidden and largely underreported. Although all women are vulnerable to violence, the probability of experiencing violence against housemaids seems to be particularly high. However, evidence on the prevalence of violence against housemaids and associated factors is scarce.\u003c/p\u003e\u003ch2\u003eObjectives\u003c/h2\u003e \u003cp\u003eTo assess the prevalence and factors associated with violence against housemaids in Jimma town, southwestern Ethiopia, in 2023.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eParallel sampling was used in a community-based mixed-methods study of 422 housemaids living in Jimma town. Simple random sampling was used to select participants. To collect the data, a questionnaire administered during a pretested structured interview was used. Qualitative data from fifteen in-depth interviews were collected using a semi-structured questionnaire. Quantitative data were collected using an open data kit and then exported to SPSS version 26. Bivariate analysis was performed to select candidate variables with P values\u0026thinsp;\u0026lt;\u0026thinsp;0.25. Then, multivariable logistic regression was used to determine factors associated with P values less than 0.05 with their respective AORs and 95% CIs. Finally, a report was presented. Thematic analysis was performed using ATLASti software after the audio recordings were transcribed.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eThe work lifetime prevalence of violence against housemaids was 61.7%. Violence against housemaids during their work lifetime was associated with having no formal education (AOR\u0026thinsp;=\u0026thinsp;3.7; 95% CI: 1.22\u0026ndash;11.33), having a duration of work greater than four years (AOR\u0026thinsp;=\u0026thinsp;2.6; 95% CI:1.44\u0026ndash;4.99), having two to four durations of work (AOR\u0026thinsp;=\u0026thinsp;2.4; 95% CI:1.29\u0026ndash;4.61), having a job by broker (AOR\u0026thinsp;=\u0026thinsp;2.8; 95% CI:1.72\u0026ndash;4.62), lacking a specific task (AOR\u0026thinsp;=\u0026thinsp;1.8: 95% CI:1.07\u0026ndash;2.90), no social support (AOR\u0026thinsp;=\u0026thinsp;4.5; 95% CI:1.56\u0026ndash;12.89), and having more than six families (AOR\u0026thinsp;=\u0026thinsp;5.4; 95% CI,2.19\u0026ndash;13.49). The qualitative findings also revealed that there was no legal work agreement.\u003c/p\u003e","manuscriptTitle":"Violence against Housemaids and associated factors in Jimma Town, Southwest Ethiopia, 2023: a mixed-method study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-07-19 00:47:30","doi":"10.21203/rs.3.rs-4536485/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2024-06-26T10:49:23+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-06-25T23:12:28+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-06-25T23:11:28+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Research Notes","date":"2024-06-06T00:11:34+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-research-notes","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"resn","sideBox":"Learn more about [BMC Research Notes](http://bmcresnotes.biomedcentral.com)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/resn/default.aspx","title":"BMC Research Notes","twitterHandle":"@BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"7bf53086-32b3-4492-b873-86b4bb990c4e","owner":[],"postedDate":"July 19th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-10-06T16:07:49+00:00","versionOfRecord":{"articleIdentity":"rs-4536485","link":"https://doi.org/10.1186/s13104-025-07271-7","journal":{"identity":"bmc-research-notes","isVorOnly":false,"title":"BMC Research Notes"},"publishedOn":"2025-09-30 15:58:07","publishedOnDateReadable":"September 30th, 2025"},"versionCreatedAt":"2024-07-19 00:47:30","video":"","vorDoi":"10.1186/s13104-025-07271-7","vorDoiUrl":"https://doi.org/10.1186/s13104-025-07271-7","workflowStages":[]},"version":"v1","identity":"rs-4536485","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4536485","identity":"rs-4536485","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}