Association between Non-Medical Use of Prescription Drugs and Emotional and Behavioral Problems among Chinese Adolescents: The Mediating Effects of Social Support

Association between Non-Medical Use of Prescription Drugs and Emotional and Behavioral Problems among Chinese Adolescents: The Mediating Effects of Social Support | 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 Research Article Association between Non-Medical Use of Prescription Drugs and Emotional and Behavioral Problems among Chinese Adolescents: The Mediating Effects of Social Support ya chen, Wanxin Wang, Yexiang Zhang, Wenjian Lai, Lan Guo, Ciyong Lu, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3915886/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background Less is known about the underlying role of social support in the association between non-medical use of prescription drugs (NUMPD) and emotional and behavioral Problems (EBPs). This study sought to explore association among NMUPD, social support and EBPs in Chinese youth. Methods A multi-stage, stratified-cluster, random-sampling method was utilized to invite 23,364 adolescents aged 10–21 years from Guangdong province to complete standard questionnaires. Data on EBPs and social support were collected using the Strengths and Difficulties Questionnaire (SDQ) and the Adolescent Social Support Scale. Results The reported prevalence of sedative misuse, opioid misuse and any prescription drug use (APDU) was 1.3%, 0.4% and 1.5%, respectively. Multivariable linear regression models showed that non-medical use of opioid (adjusted β estimate = 2.06, 95%CI = 1.53–2.60), sedative (adjusted β estimate = 2.15, 95%CI = 1.20–3.09) and APDU (adjusted β estimate = 1.89, 95%CI = 1.40–2.37) maintained a positive association with total difficulties. Mediation analyses showed that the standardized indirect effects of NMUPD on total difficulties mediated by social support had statistical significance ( P < 0.001) and mediating effect was between 14.75% and 27.50%. Conclusions Significant associations exist between NMUPD and EBPs. Social support significantly mediated association between NMUPD and EBPs. Drug abuse monitoring system targeted at adolescents could be established and social support from parents, teachers and peers are highly recommended to facilitate the mental health of adolescents. Non-medical use of prescription drugs Emotional and behavioral problems Social support Adolescents Figures Figure 1 Figure 2 Figure 3 Introduction Non-medical use of prescription drugs (NMUPD) denotes using medication without a prescription or for purposes other than its intended use [ 1 ]. The immense burdens of NMUPD have become a threat to public health [ 2 , 3 ]. In the 2019 Global Burden of Disease study, 18.1 million adolescents aged 10–24 were estimated to be living with drug use disorders worldwide [ 4 ]. Our prior study also indicated that 3.1% of adolescents reported NMUPD [ 5 ]. Although the prevalence was relatively low, previous studies have confirmed that NMUPD was associated with more internal and external problems, such as major depressive episode [ 6 ], suicide attempts [ 7 ], anxiety disorders [ 8 ] and so on, which were top ten causes of disease burden in adolescents aged 10–24 years [ 4 ]. Due to the high prevalence and life-long impairment, emotional and behavioral problems (EBPs) have frequently been identified as critical mental health problems for adolescent development [ 9 , 10 ]. The global average prevalence of mental disorders among adolescent was 12% in 2019 [ 11 ]. A recent national survey conducted in China showed that 17.6% of Chinese school children and adolescents were identified as having EBPs [ 12 ]. A systematic review showed that NMUPD can also cause several adverse mental health outcomes, including neurotic, stress-related and somatoform disorders, intimate partner violence and so on [ 13 ]. Despite there have been sufficient studies demonstrated the association between NMUPD and mental disorders, previous study usually focused on specified aspects of EBPs [ 14 ] or mainly took opioids misuse [ 15 , 16 ] into consideration. Consequently, it is significant to explore the comprehensive association of NMUPD ‘s effect on EBPs. Furthermore, there is a potential indirect impact of social support on the association between NMUPD and EBPs. On one hand, there exists widespread stigmatization of substance abuse within the general public [ 17 ]. Individuals are more inclined to maintain greater social distance from those with substance abuse issues in both personal life and professional settings [ 18 , 19 ]. Moreover, individuals grappling with substance abuse may internalize societal stigmas, align with stereotypes, and manifest low self-esteem, increased social distance, and a reluctance to seek assistance [ 20 ]. The initiation of NMUPD during middle school was associated with diminished social functioning in high school, characterized by a perceived lack of peer support or acceptance and interpersonal challenges [ 21 ]. On the other hand, a lower level of social support was correlated with an elevated prevalence of EBPs, such as depression[ 22 ], suicide ideation [ 23 ], multiple problem behaviors (alcohol use, drug use, trouble with peers) [ 24 ]. However, few studies have been undertaken to investigate the role of social support in the effects of NMUPD on EBPs. Therefore, we conducted this large-scale study to (1) explore the prevalence of NMUPD among Chinese adolescents, to (2) demonstrate the association between NMUPD and EBPs, and to (3) determine the underlying role of social support on aforementioned association. Methods Sample and procedure The study using data from the 2021 School-based Chinese Adolescents Health Survey (SCAHS), an ongoing cross-sectional investigation of health-related behaviors among Chinese adolescents in grades 7 to 12, conducted biennially since 2007. The specific sampling method has been elaborated in a previous study [ 25 ]. A total of 23,409 students aged 10–21 years participated in our study. After data cleaning, missing values and outliers were excluded, 23,364 students were finally included for analysis (effective rate: 99.8%). The results of the sensitivity analysis demonstrated no statistical significance in baseline characteristics between the groups of participants included and excluded (Table S1 in the supplement). Approval for the study was granted by the Institutional Review Board of the Sun Yat-Sen University School of Public Health. To safeguard the privacy of the participants, the structural questionnaires were designed to maintain anonymity. Trained investigators conducted the introduction, distribution, recycling and completeness review of the questionnaire without the involvement of teachers in 45 minutes. Measures Non-medical use of prescription drugs 3 indicators of NMUPD were considered: specifically, the non-medical use of opioids, sedatives, and any prescription drug use (APDU) throughout an individual's lifetime. To assess non-medical use of opioids or sedatives, participants were asked, "Have you ever used the following prescription drugs for a non-medical purpose?" Responses were used to determine the relevant NMUPD status variable, categorized into two groups: non-users (never used, coded as 0) and lifetime non-medical users (coded as 1). The prescription drugs list was formulated based on medications that commonly reported by adolescent with substance abuse issues in rehabilitation centers of China. Opioid drugs encompassed dextromethorphan preparation, compounded cough syrup with codeine(codeine), compounded liquor ice tablets (opium), diphenoxylate and tramadol hydrochloride. Sedative drugs comprised scopolamine hydrobromide tablets (barbiturates), compounded aminopyrine phenacetin tablets (barbiturates), and diazepam or triazolam (benzodiazepines). Emotional and behavioral problems The Strengths and Difficulties Questionnaire (SDQ) was employed to assess EBPs [ 26 , 27 ]. Widely recognized as a multidimensional mental health screening instrument for adolescents, the SDQ has exhibited robust reliability and validity in its application among Chinese adolescents [ 28 , 29 ]. Comprising of 25 items, the SDQ is structured into 5 scales: emotional problem, conduct problem, hyperactivity, peer problem and prosocial behavior. ‘Total difficulties’ was assessed using the total scores of the first 4 subscales, with the prosocial behavior subscale scores separated from the total difficulties. Response options were provided on a 3- point Likert scale (not true = 1, somewhat true = 2, certainly true = 3). Elevated total scores on the first 4 subscales indicated a higher level of EBPs, apart from the prosocial behavior subscale, where elevated scores were associated with a lower level of EBPs. According to the norms established by Shanghai Mental Health Center, the cutoff scores were ≥ 20 for total difficulties, and ≤ 4 for prosocial behavior problems [ 28 ]. Adolescents with higher scores in total difficulties and lower scores in prosocial behavior were identified at higher risk for EBPs. The internal consistency of the SDQ was satisfactory in current study, showing Cronbach’s α values of 0.77 for total difficulties and 0.78 for prosocial behavior. Mediators The level of social support was evaluated using the Adolescent Social Support Scale [ 30 ], a validated instrument by Luo et al [ 31 ], demonstrating satisfactory measurement accuracy and reliability. Comprising 17 items and organized into 3 dimensions (subjective support, objective support and support utility), the scale employed a 5-point Likert scale (true = 5, somewhat true = 4, not sure = 3, somewhat not true = 2, not true = 1). Scores on the scale span from 17 to 85, with elevated scores signifying a heightened level of social support. The Cronbach's α values were 0.91 for subjective support, 0.87 for objective support, and 0.91 for support utility in this study. Covariates The analysis included factors previously reported to be associated with NMUPD or EBPs [ 32 , 33 ]. Smoking and drinking were assessed by inquiring whether participants had ever smoked a cigarette or consumed alcohol (yes = 1, no = 2). Sociodemographic variables included age, gender (boy = 1, girl = 2), living arrangement, household socioeconomic status (HSS), father’s education level, mother’s education level, parent’s marital status, study pressure, relationships with classmates or teachers. Living arrangement was determined by querying about who lived with the student (living with both parents = 1, living with a single parent = 2, living with others = 3). HSS was evaluated by inquiring about the student's perceptions of their household's present socioeconomic level (excellent or very good = 1, average = 2 and fair or poor = 3). Father’s/mother’s education level was classified based on the adolescent’s knowledge of parent (primary and below = 1, junior high school = 2, high school = 3, college or university degree or above = 4, unknown = 5). Parent’s marital status was evaluated by the student's perspectives on their parents' relationship (good = 1, occasionally or often arguing = 2, separation or divorce = 3). Adolescent study pressure was evaluated by assessing their perception of academic pressure at school (less = 1, average = 2, large = 3). The assessment of relationships with classmates and teacher relied on student's self-rating (good = 1, average = 2, poor = 3). Statistical analysis First, descriptive analyses stratified by opioid misuse, sedative misuse and APDU were employed to describe the sample characteristics, with the data presented as number (%) and mean (standard deviation, SD). Chi-square tests were employed for categorical variables, while t-tests were conducted for continuous variables to scrutinize distinctions between the two groups (non-users and lifetime non-medical users). Second, Univariable linear regression analyses were carried out to examine the potential association of NMUPD with total difficulties or prosocial behaviors respectively. Third, multivariable linear regression analysis was performed to explore their associations after incorporating variables with a significance level of P < 0.10 in univariable analyses or widely reported in the literature. Fourth, structural equation modeling (SEM) models, utilizing the maximum likelihood (ML) method, were employed to evaluate the mediating effects of social support on the association between NMUPD and EBPs. As both social support and EBPs were continuous variables, while NMUPD was categorized, the study reported the standardized path coefficients, standardized total effects, and standardized indirect effects. Bias-corrected 95% confidence intervals (CIs) were estimated using 1000 bootstrap samples. All statistical tests were two-tailed, and statistical significance set at P < 0.05. R 4.1.3 (the R Foundation for Statistical Computing, Vienna, Austria) and Mplus 8.3 (Muthén and Muth én, Los Angeles, California, USA) were employed for statistical analyses. Results Sample characteristics Table 1 shows the sample characteristics. Out of 23,364 eligible participants, half were boys (11,922/23,364) and the mean (SD) age was 14.8 (1.7) years. Among the adolescents, 1.3% (298/23,364) reported opioid misuse, 0.4% (93/23,364) reported sedative misuse, and 1.5% (360/23,364) reported APDU. Adolescents with the behavior of NMUPD all had higher total difficulties scores (opioid misuse: 14.6 vs. 11.0, P < 0.001; sedative misuse: 16. 0 vs. 11.0, P < 0.001; APDU: 14.6 vs. 10.9, P < 0.001) and lower prosocial behavior scores (opioid misuse: 6.6 vs. 6.9, P < 0.05; sedative misuse: 6.3 vs. 6.9, P < 0.01; APDU: 6.6 vs. 6.9, P < 0.01) and lower social support scores (opioid misuse: 61.9 vs. 67. 8, P < 0.001; sedative misuse: 56.8 vs. 67.7, P < 0.001; APDU: 61.5 vs. 67.8, P < 0.001) than those without the behavior of NMUPD. Table 1 Sample characteristics among 23,364 adolescents Variables Total, n (%) Opioid misuse , n (%) Sedative misuse , n (%) APDU, n (%) Yes No P value Yes No P value Yes No P value Total 23,364 298 (1.3) 23,066 (98.7) 93 (0.4) 23,271 (99.6) 360 (1.5) 23,004 (98.5) Age, mean (SD) 14.8 (1.7) 14.7 (1.6) 14.9 (1.7) 0.067 14.7 (1.6) 14.9 (1.7) 0.401 14.7 (1.6) 14.85 (1.7) 0.113 Gender Boys 11,922 (51.0) 162 (54.4) 11760 (51.0) 0.271 46 (49.5) 11876 (51.0) 0.843 193 (53.6) 11729 (51.0) 0.350 Girls 11,442 (49.0) 136 (45.6) 11306 (49.0) 47 (50.5) 11395 (49.0) 167 (46.4) 11275 (49.0) Living arrangement Two biological parents 17,948 (76.8) 198 (66.4) 17750 (77.0) <0.001 59 (63.4) 17889 (76.9) 0.020 237 (65.8) 17711 (77.0) <0.001 Only father or mother 3,022 (12.9) 57 (19.1) 2965 (12.9) 19 (20.4) 3003 (12.9) 67 (18.6) 2955 (12.8) Others 2,347 (10.0) 43 (14.4) 2304 (10.0) 15 (16.1) 2332 (10.0) 56 (15.6) 2291 (10.0) Missing data 47 (0.2) 0 (0.0) 47 (0.2) 0 (0.0) 47 (0.2) 0 (0.0) 47 (0.2) Household socioeconomic status Excellent or very good 7,411 (31.7) 98 (32.9) 7313 (31.7) 0.053 31 (33.3) 7380 (31.7) 0.267 112 (31.1) 7299 (31.7) 0.094 Average 13,878 (59.4) 162 (54.4) 13716 (59.5) 49 (52.7) 13829 (59.4) 204 (56.7) 13674 (59.4) Fair or poor 2032 (8.7) 38 (12.8) 1994 (8.6) 13 (14.0) 2019 (8.7) 44 (12.2) 1988 (8.6) Missing data 43 (0.2) 0 (0.0) 43 (0.2) 0 (0.0) 43 (0.2) 0 (0.0) 43 (0.2) Father education level Primary and below 1832 (7.8) 23 (7.7) 1809 (7.8) 0.012 7 (7.5) 1825 (7.8) 0.814 27 (7.5) 1805 (7.8) 0.043 Junior high school 9387 (40.2) 101 (33.9) 9286 (40.3) 33 (35.5) 9354 (40.2) 125 (34.7) 9262 (40.3) High school 5641 (24.1) 85 (28.5) 5556 (24.1) 24 (25.8) 5617 (24.1) 101 (28.1) 5540 (24.1) College or university degree or above 4372 (18.7) 72 (24.2) 4300 (18.6) 22 (23.7) 4350 (18.7) 83 (23.1) 4289 (18.6) Unknown 2082 (8.9) 16 (5.4) 2066 (9.0) 7 (7.5) 2075 (8.9) 23 (6.4) 2059 (9.0) Missing data 50 (0.2) 1 (0.3) 49 (0.2) 0 (0.0) 50 (0.2) 1 (0.3) 49 (0.2) Mother education level Primary and below 2970 (12.7) 28 (9.4) 2942 (12.8) 0.173 11 (11.8) 2959 (12.7) 0.716 37 (10.3) 2933 (12.7) 0.283 Junior high school 9489 (40.6) 112 (37.6) 9377 (40.7) 35 (37.6) 9454 (40.6) 136 (37.8) 9353 (40.7) High school 5094 (21.8) 79 (26.5) 5015 (21.7) 19 (20.4) 5075 (21.8) 91 (25.3) 5003 (21.7) College or university degree or above 3786 (16.2) 55 (18.5) 3731 (16.2) 21 (22.6) 3765 (16.2) 67 (18.6) 3719 (16.2) Unknown 2001 (8.6) 24 (8.1) 1977 (8.6) 7 (7.5) 1994 (8.6) 29 (8.1) 1972 (8.6) Missing data 24 (0.1) 0 (0.0) 24 (0.1) 0 (0.0) 24 (0.1) 0 (0.0) 24 (0.1) Parents’ marital status Good 12327 (52.8) 103 (34.6) 12224 (53.0) <0.001 33 (35.5) 12294 (52.8) 0.008 128 (35.6) 12199 (53.0) <0.001 Occasionally or often arguing 8928 (38.2) 150 (50.3) 8778 (38.1) 47 (50.5) 8881 (38.2) 180 (50.0) 8748 (38.0) Separation or divorce 2071 (8.9) 45 (15.1) 2026 (8.8) 13 (14.0) 2058 (8.8) 52 (14.4) 2019 (8.8) Missing data 38 (0.2) 0 (0.0) 38 (0.2) 0 (0.0) 38 (0.2) 0 (0.0) 38 (0.2) Study Pressure Less 4697 (20.1) 59 (19.8) 4638 (20.1) 0.001 18 (19.4) 4679 (20.1) 0.071 72 (20.0) 4625 (20.1) <0.001 Average 10694 (45.8) 107 (35.9) 10587 (45.9) 32 (34.4) 10662 (45.8) 123 (34.2) 10571 (46.0) Large 7927 (33.9) 131 (44.0) 7796 (33.8) 43 (46.2) 7884 (33.9) 164 (45.6) 7763 (33.7) Missing data 46 (0.2) 1 (0.3) 45 (0.2) 0 (0.0) 46 (0.2) 1 (0.3) 45 (0.2) Relationships with classmates Good 18577 (79.5) 220 (73.8) 18357 (79.6) <0.001 60 (64.5) 18517 (79.6) <0.001 261 (72.5) 18316 (79.6) <0.001 Average 4331 (18.5) 62 (20.8) 4269 (18.5) 24 (25.8) 4307 (18.5) 79 (21.9) 4252 (18.5) Poor 344 (1.5) 16 (5.4) 328 (1.4) 9 (9.7) 335 (1.4) 20 (5.6) 324 (1.4) Missing data 112 (0.5) 0 (0.0) 112 (0.5) 0 (0.0) 112 (0.5) 0 (0.0) 112 (0.5) Relationships with teachers Good 16211 (69.4) 181 (60.7) 16030 (69.5) 0.001 50 (53.8) 16161 (69.4) 0.010 216 (60.0) 15995 (69.5) <0.001 Average 6635 (28.4) 106 (35.6) 6529 (28.3) 39 (41.9) 6596 (28.3) 130 (36.1) 6505 (28.3) Poor 350 (1.5) 10 (3.4) 340 (1.5) 3 (3.2) 347 (1.5) 13 (3.6) 337 (1.5) Missing data 168 (0.7) 1 (0.3) 167 (0.7) 1 (1.1) 167 (0.7) 1 (0.3) 167 (0.7) Smoking No 22359 (95.7) 263 (88.3) 22096 (95.8) <0.001 81 (87.1) 22278 (95.7) <0.001 318 (88.3) 22041 (95.8) <0.001 Yes 795 (3.4) 30 (10.1) 765 (3.3) 11 (11.8) 784 (3.4) 37 (10.3) 758 (3.3) Missing data 210 (0.9) 5 (1.7) 205 (0.9) 1 (1.1) 209 (0.9) 5 (1.4) 205 (0.9) Drinking No 20299 (86.9) 215 (72.1) 20084 (87.1) <0.001 60 (64.5) 20239 (87.0) <0.001 256 (71.1) 20043 (87.1) <0.001 Yes 2665 (11.4) 74 (24.8) 2591 (11.2) 32 (34.4) 2633 (11.3) 95 (26.4) 2570 (11.2) Missing data 400 (1.7) 9 (3.0) 391 (1.7) 1 (1.1) 399 (1.7) 9 (2.5) 391 (1.7) Total difficulties No 22036 (94.3) 246 (82.6) 21790 (94.5) <0.001 68 (73.1) 21968 (94.4) <0.001 298 (82.8) 21738 (94.5) <0.001 Yes 1277 (5.5) 51 (17.1) 1226 (5.3) 25 (26.9) 1252 (5.4) 61 (16.9) 1216 (5.3) Missing data 51 (0.2) 1 (0.3) 50 (0.2) 0 (0.0) 51 (0.2) 1 (0.3) 50 (0.2) Prosocial behavior No 20355 (87.1) 244 (81.9) 20111 (87.2) 0.023 71 (76.3) 20284 (87.2) 0.006 292 (81.1) 20063 (87.2) 0.003 Yes 2967 (12.7) 53 (17.8) 2914 (12.6) 22 (23.7) 2945 (12.7) 67 (18.6) 2900 (12.6) Missing data 42 (0.2) 1 (0.3) 41 (0.2) 0 (0.0) 42 (0.2) 1 (0.3) 41 (0.2) Total SDQ scores, mean (SD) 11.0 (5.4) 14.6 (6.2) 11.0 (5.4) <0.001 16.0 (6.7) 11.0 (5.4) <0.001 14.6 (6.2) 10.9 (5.4) <0.001 SDQ scores of emotional Problem, mean (SD) 2.5 (2.4) 3.9 (2.8) 2.5 (2.4) <0.001 4.3 (3.1) 2.5 (2.4) <0.001 3.9 (2.8) 2.5 (2.4) <0.001 SDQ scores of conduct Problem, mean (SD) 2.0 (1.4) 2.7 (1.7) 2.0 (1.4) <0.001 3.1 (1.7) 2.0 (1.4) <0.001 2.7 (1.7) 2.0 (1.4) <0.001 SDQ scores of hyperactivity, mean (SD) 3.4 (2.1) 4.6 (2.3) 3.4 (2.1) <0.001 4.9 (2.5) 3.4 (2.1) <0.001 4.6 (2.4) 3.4 (2.1) <0.001 SDQ scores of peer relationship problems, mean (SD) 3.1 (1.5) 3.5 (1.7) 3.1 (1.5) <0.001 3.7 (1.7) 3.1 (1.5) <0.001 3.5 (1.6) 3.1 (1.5) <0.001 SDQ scores of prosocial behavior, mean (SD) 6.9 (2.3) 6.6 (2.4) 6.9 (2.3) 0.025 6.3 (2.7) 6.9 (2.3) 0.006 6.6 (2.4) 6.9 (2.3) 0.006 Total social support scores, mean (SD) 67.7 (14.9) 61.9 (16.8) 67.8 (14.9) <0.001 56.8 (18.7) 67.7 (14.9) <0.001 61.5 (17.1) 67.8 (14.8) <0.001 Social support scores of subjective supports, mean (SD) 20.0 (4.8) 18.5 (5.3) 20.0 (4.8) <0.001 17.0 (6.1) 20.0 (4.8) <0.001 18.3 (5.5) 20.0 (4.8) <0.001 Social support scores of objective supports, mean (SD) 25.0 (5.1) 23.1 (6.2) 25.1 (5.1) <0.001 21.7 (6.9) 25.0 (5.1) <0.001 23.0 (6.2) 25.1 (5.1) <0.001 Social support scores of support utility, mean (SD) 22.6 (6.6) 20.3 (7.2) 22.7 (6.6) <0.001 18.2 (7.9) 22.7 (6.6) <0.001 20.1 (7.4) 22.7 (6.6) <0.001 Note. APDU=any prescription drug use; SDQ=The Strengths and Difficulties Questionnaire. Association of non-medical use of prescription drugs and social support with emotional and behavioral problems Table 2 presented the associations of NMUPD and social support with EBPs. In Model 1 , without adjusting for other variables, opioid misuse, sedative misuse and APDU were positively correlated with total difficulties and negatively associated with prosocial behavior ( P < 0.05). Social support exhibited a negative association with total difficulties and a positive association with prosocial behavior ( P < 0.001). In Model 2 , after accounting for control variables, opioid misuse, sedative misuse, and APDU were significantly associated with an elevated risk of total difficulties ( P < 0.001), while no statistical significance was found in the association between opioid misuse, sedative misuse, and APDU with prosocial behavior. The subscales of social support, including objective support and subjective support, demonstrated negative associations with total difficulties and positive associations with prosocial behavior ( P < 0.001). In Model 3 , after accounting for control variables and social support, students reporting NMUPD (opioid misuse: adjusted β estimate=2.06, 95%CI=1.53-2.60; sedative misuse: adjusted β estimate=2.15, 95%CI=1.20-3.09; APDU: adjusted β estimate=1.89, 95%CI=1.40-2.37) had a higher risk of total difficulties. In contrast, opioid misuse, sedative misuse and APDU showed no statistically significant association with prosocial behavior. Table2 Association of NMUPD and social support with EBPs ( n =23,364) Variables Total difficulties Prosocial behavior Model 1 Model 2 Model 3 Model 1 Model 2 Model 3 Unadjusted β estimate (95%CI) Adjusted β estimate (95%CI) Adjusted β estimate (95%CI) Unadjusted β estimate (95%CI) Adjusted β estimate (95%CI) Adjusted β estimate (95%CI) Opioid misuse No REF. REF. REF. REF. REF. REF. Yes 3.68 (3.07, 4.30) *** 2.37 (1.8, 2.94) *** 2.06 (1.53, 2.60) *** -0.30 (-0.57, -0.04) * -0.13 (-0.39, 0.13) -0.02 (-0.27, 0.22) Sedative misuse No REF. REF. REF. REF. REF. REF. Yes 5.00 (3.90, 6.10) *** 2.79 (1.78, 3.79) *** 2.15 (1.20, 3.09) *** -0.66 (-1.13, -0.19) ** -0.39 (-0.84, 0.06) -0.18 (-0.61, 0.26) APDU No REF. REF. REF. REF. REF. REF. Yes 3.64 (3.08, 4.21) *** 2.23 (1.71, 2.75) *** 1.89 (1.40, 2.37) *** -0.34 (-0.58, -0.10) ** -0.14 (-0.38, 0.09) -0.02 (-0.25, 0.20) Social support subscale (1-score increase) Subjective support -0.51 (-0.52, -0.49) *** -0.21 (-0.23, -0.19) *** NA 0.17 (0.17, 0.18) *** 0.11 (0.1, 0.12) *** NA Objective support -0.43 (-0.44, -0.41) *** -0.11 (-0.13, -0.09) *** NA 0.13 (0.13, 0.14) *** 0.04 (0.03, 0.05) *** NA Support utility -0.34 (-0.35, -0.33) *** -0.09 (-0.10, -0.07) *** NA 0.10 (0.09, 0.10) *** 0.00 (-0.01, 0.01) NA Note. NMUPD= non-medical use of prescription drugs; EBPs=emotional and behavioral problems;95% CI=95% confidence intervals. Model 1: univariate linear regression model showed the association of each variable (opioid misuse, sedative misuse, APDU and social support) with the total difficulties or prosocial behavior. Model 2: multivariable linear regression models incorporating age, gender, living arrangement, HSS, mother’s education level, father’s education level, study pressure, relationship with classmates, relationship with teachers, smoking, drinking as control variable. Model 3: multivariable linear regression models, incorporating the variables in Model 2 and social support as control variable. * P < 0.05; **: P <0.01; ***: P <0.001 Mediating effects of social support SEM was separately conducted with opioid misuse, sedative misuse, and APDU as independent variables, emotional and behavioral problems (EBPs) as the dependent variable, and social support as the mediating factor. As shown in Table3, the standardized direct path coefficients of NMUPD on total difficulties (opioid misuse: standardized β estimate = 0.052, 95% CI=0.036-0.066; sedative misuse: standardized β estimate = 0.030, 95%CI=0.014-0.046; APDU: standardized β estimate = 0.053, 95% CI = 0.039-0.068) have shown statistical significance. The standardized indirect effects of NMUPD on total difficulties (opioid misuse: standardized β estimate = 0.009, 95%CI = 0.003 – 0.015; sedative misuse: standardized β estimate = 0.011, 95%CI = 0.004 – 0.017; APDU: standardized β estimate = 0.011, 95%CI = 0.005 – 0.017) mediated by social support was statistically significant ( P < 0.05). The indirect effects accounted for 14.75% for opioids, 27.50% for sedative and 17.19% for APDU respectively, suggesting that social support mediates the associations between NMUPD and total difficulties. The results of SEM models depicting the mediating roles of social support in the association between opioid misuse, sedative misuse, and APDU and EBPs are illustrated in Figures 1, 2 and 3, respectively. Table3 Mediating effects of social support on the relationship between NMUPD and EBPs ( n =23,364) Variables Total difficulties a Standardized β estimate (95% CI) P value Opioid misuse Path Opioid misuse →Social support -0.020 (-0.034, -0.008) 0.002 Social support → EBPs -0.442 (-0.461, -0.426) <0.001 Opioid misuse → EBPs 0.052 (0.036, 0.066) <0.001 Standardized effect Indirect effect 0.009 (0.003, 0.015) 0.002 Total effect 0.061 (0.044, 0.076) <0.001 Proportion mediated, % 14.75% Sedative misuse Path Sedative misuse →Social support -0.024 (-0.038, -0.009) 0.001 Social support → EBPs -0.442 (-0.461, -0.426) <0.001 Sedative misuse → EBPs 0.030 (0.014, 0.046) <0.001 Standardized effect Indirect effect 0.011 (0.004, 0.017) 0.001 Total effect 0.040 (0.024, 0.058) <0.001 Proportion mediated, % 27.50% APDU Path APDU →Social support -0.025 (-0.039, -0.012) <0.001 Social support → EBPs -0.441 (-0.460, -0.425) <0.001 APDU → EBPs 0.053 (0.039, 0.068) <0.001 Standardized effect Indirect effect 0.011 (0.005, 0.017) <0.001 Total effect 0.064 (0.048, 0.079) <0.001 Proportion mediated, % 17.20% Note. NMUPD= non-medical use of prescription drugs; APDU=any prescription drug use; EBPs=emotional and behavioral problems; 95% CI=95% confidence intervals. a The structural equation models for total difficulties were adjusted for age, gender, living arrangement, HSS, mother’s education level, father’s education level, study pressure, relationship with classmates, relationship with teachers, smoking, drinking; model fit indices ( opioid misuse: CFI= 0.905; RMSEA = 0.062, 95% CI = 0.061–0.063; SRMR = 0.040; sedative misuse: CFI = 0.905; RMSEA = 0.062, 95% CI = 0.061–0.063; SRMR = 0.040; APDU: CFI = 0.905; RMSEA = 0.062, 95% CI = 0.061–0.063; SRMR = 0.040. Discussion To our knowledge, this is one of the few large-scale studies aimed at illustrating the associations between NMUPD and EBPs within the Chinese adolescent population, while also evaluating the underlying role of social support in the aforementioned associations. Our study revealed a lifetime prevalence of 1.3% for opioid misuse, 0.4% for sedative misuse, and 1.5% for APDU, respectively. In comparison, 3.7% of US adolescents reported past-year opioid misuse, 2.1% reported sedative misuse, and 5.9% reported NMUPD, indicating an elevated prevalence rate of drug abuse among US teenagers [ 34 ]. Similarly, a lifetime prevalence of prescription drug misuse was 2.20% for opioids, 8.50% for sedatives, and 9.78% for APDU in Spanish adolescents [ 35 ]. An average of 9.2% for lifetime non-medical pharmaceutical use and 6.6% for sedative misuse in European youth [ 36 ]. In this study, the observed rates of NMUPD among Chinese youths were notably lower compared to their counterparts in other countries. Likewise, previous evidence has suggested that significant racial disparities existed in opioid use disorder, and Asian populations had the lowest rate of opioid use disorder-related deaths, at a rate of 4.6 per 100,000 in 2020 [ 37 – 39 ]. Consistent with previous studies, statistically significant difference has been observed in the distribution of living arrangement, HSS, father’s education level, parental marriage status, study pressure, relationships with classmates or teachers, smoking, drinking, and social support between adolescents with and without NMUPD [ 40 , 41 ]. Therefore, considering the impact of these covariates may aid in identifying adolescents at elevated risk of substance abuse. The prevalence of total difficulties in EBPs was 5.4%, and the proportion of adolescents experiencing one or more EBPs reached 29.6% in this study. Previous studies indicated that the incidence rate of EBPs among adolescents aged 6–16 years in China was 17.6% [ 42 ]. Notably, during the COVID-19 period, the prevalence of EBPs among Chinese adolescents rose to 31.6% concerning total difficulties [ 43 ]. These findings underscore the transformation of emotional and behavioral disorders in adolescents into primary chronic conditions impacting their psychosocial functioning [ 44 ]. After adjusting for control variables, opioids misuse, sedatives misuse and APDU exhibited positive association with four dimensions of EBPs and negatively associated with prosocial behavior. Similarly, research conducted by Bhatia et al. demonstrated that adolescents who acknowledged a history of misusing prescription opioids were at an increased likelihood of engaging in a diverse array of risky behaviors, involving risky driving behaviors, instances of violent conduct, engagement in risky sexual behaviors, and suicide attempts [ 45 ]. Grant et al. also demonstrated that young people who misused sedative/tranquilizers were significantly more likely to have mental health problems [ 46 ]. Moreover, following adjustments for socio-demographic factors, our study observed that despite a slight reduction in effect sizes across all the adjusted models, sedative misuse, opioid misuse and APDU were still positively associated with total difficulties. Notably, this study failed to uncover a significant link between NMUPD and prosocial behavior. There are some possible explanations for the above situation. First, existing evidence suggests that oxytocin (OXT) plays a role in the neuroadaptive processes linked to addiction development [ 47 ]. Oxytocin, a polypeptide hormone, is produced in magnocellular neurons located within the supraoptic (SON) and paraventricular (PVN). It exhibits widespread distribution across brain circuits associated with process such as reward, learning, memory, stress, and addiction [ 48 ]. Second, Huang et al. found that dysregulation of oxytocin could manifest following repeated exposure to drug abuse. Patients with ketamine dependence (KD) demonstrated notably lower baseline levels of oxytocin compared to the control group [ 49 ]. Third, OXT has a central role in modulating prosocial behavior, including trusting behavior, generosity and cooperation and so on [ 50 , 51 ]. Therefore, adolescents with substance abuse may have lower oxytocin levels, leading to a loss of prosocial behavior. Further analyses of the current study illustrated that among all the participants, social support was a mediator in the association of NMUPD with total difficulties and total indirect effect was between 14.8% and 27.5%. Although few studies have reported the role of social support in the association between NMUPD and EBPs, there were some possible explanations for the mediating effect. First, prevalent stigmatizing attitudes towards substance abuse exist in the general public [ 18 ]. The public tends to distance themselves from individuals dealing with drug abuse issues in both professional and personal settings [ 19 ]. However, social support has been linked to a reduction in internalized stigma among those undergoing drug abuse treatment, subsequently contributing to improved mental health and overall well-being [ 52 ]. Second, Hameed et al. (2018) found an adverse link between social support and EBPs among adolescents [ 53 ]. Agyemang et al. (2022) found youth with low social support had the highest prevalence of suicide attempt [ 54 ]. Conversely, high social support contributed to increasing resilience and thus protecting adolescents from EBPs in Chinese adolescents [ 55 , 56 ]. Likewise, a study in China using strengths perspectives helped adolescents within high-risk families to rebuild the social support networks, thus facilitated the decrease of EBPs [ 57 ]. We can infer that adolescent with NMUPD have lower levels of social support, which leads to a higher risk of EBPs. Overall, the mediating role of social support contributes to our current comprehension of the mechanism underlying the association between NMUPD and EBPs. Relevant government departments are highly recommended to enhance the supervision of prescription drugs, raise teenagers' awareness of the harm of drug abuse, and offer psychological assistance and social support to those exhibiting drug abuse behaviors, so as to reduce the occurrence of adolescent’s EBPs. Besides, the main monitoring system of drug abuse in China was still aimed at drug rehabilitation institutions, with insufficient monitoring among adolescents using medical drugs [ 58 ]. What’s more, stigma and marginalization of drug abusers are still prevalent and there was insufficient support for drug abusers [ 59 ]. Therefore, there are some deficiencies in the drug abuse monitoring system. It is suggested that active monitoring could be carried out in medical institutions, schools and other places to strengthen its monitoring mode [ 58 ]. An exemplary model for consideration is the Screening, Brief Intervention, and Referral to Treatment (SBIRT) demonstration program, which has shown effectiveness in reducing prescription drug misuse in several studies [ 60 , 61 ]. This study has several outstanding strengths. Its school-based research design secured a high response rate and good participant cooperation, thereby elevating the overall data quality. The inclusion of a substantial sample size and one of few studies to explore the mediating effect of social support in the link between NMUPD and EBPs further strengthen the study. Regardless of these strengths, several limitations should be acknowledged. First, this study focused exclusively on participants in Guangdong province and students absent from school were excluded from this study, while students absent from school may have higher prevalence of NMUPD [ 62 ]. Second, a self-reported questionnaire was utilized to collect data, which was subject to recall bias and measurement errors. Third, the study's cross-sectional design limits our capacity to establish causal association between NMUPD and EBPs. Therefore, caution is advised when interpreting the mediating effects of social support in this association. Conclusion This study indicated that adolescents with a history of NMUPD had lower levels of social support, more EBPs and fewer prosocial behaviors. Social support partly mediated the association between NMUPD and total difficulties. In view of the severity of EBPs triggered by NMUPD and the absence of a drug abuse monitoring system for the adolescents in China, it is necessary to establish a monitoring system for adolescents to reduce NMUPD. Furthermore, parents and teachers could closely monitor their children's prescription drug use and provide adequate support to help them out of drug dependence, so as to prevent the incidence of EBPs. Abbreviations NMUPD Non-medical use of prescription drugs EBPs Emotional and behavioral Problems SCAHS School-based Chinese Adolescents Health Survey APDU Any prescription drug use SDQ Strengths and Difficulties Questionnaire HSS Household socioeconomic status SD Standard deviation SEM Structural equation modeling ML Maximum likelihood CIs Confidence intervals SBIRT Screening, Brief Intervention, and Referral to Treatment Declarations Acknowledgements The authors would like to thank all the individuals who participated in the study. Author contributions Ya Chen, Wanxin Wang: Writing- Original draft preparation, Methodology, Visualization. Ya Chen, Wenjian Lai, Yexiang Zhang, Guoliang Huang: Investigation, Data curation. Wanxin Wang, Lan Guo: Supervision, Writing- Reviewing and Editing. Ciyong Lu, Guoliang Huang: Supervision, Writing- Reviewing and Editing, Funding acquisition. Funding This work was supported by the funding from Guangdong ADR Monitoring Center: K2051000006. Data availability The datasets generated and/or analyzed during the current study are not publicly available but are available from the corresponding author on reasonable request. Ethics approval and consent to participate All methods were carried out in accordance with relevant guidelines and regulations. Approval for the study was granted by the Institutional Review Board of the Sun Yat-Sen University School of Public Health. Informed consent was obtained from participants prior to the investigation. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3915886","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":271285102,"identity":"b3040cb3-295b-496e-b76f-069feecaec0a","order_by":0,"name":"ya chen","email":"","orcid":"","institution":"Sun Yat-Sen University","correspondingAuthor":false,"prefix":"","firstName":"ya","middleName":"","lastName":"chen","suffix":""},{"id":271285103,"identity":"79b44bb6-47aa-4fbe-9bb5-6f9c1de4c76c","order_by":1,"name":"Wanxin Wang","email":"","orcid":"","institution":"Sun Yat-Sen University","correspondingAuthor":false,"prefix":"","firstName":"Wanxin","middleName":"","lastName":"Wang","suffix":""},{"id":271285104,"identity":"08871b94-57a8-4e8e-9bec-3323a2c2551f","order_by":2,"name":"Yexiang Zhang","email":"","orcid":"","institution":"Center for ADR Monitoring of Guangdong","correspondingAuthor":false,"prefix":"","firstName":"Yexiang","middleName":"","lastName":"Zhang","suffix":""},{"id":271285105,"identity":"e84f2ae8-8818-4cbb-b1ce-cc73bb49c47e","order_by":3,"name":"Wenjian Lai","email":"","orcid":"","institution":"Sun Yat-Sen University","correspondingAuthor":false,"prefix":"","firstName":"Wenjian","middleName":"","lastName":"Lai","suffix":""},{"id":271285106,"identity":"9b7ec1e1-ffe9-4adb-b4c3-447f17381f22","order_by":4,"name":"Lan Guo","email":"","orcid":"","institution":"Sun Yat-Sen University","correspondingAuthor":false,"prefix":"","firstName":"Lan","middleName":"","lastName":"Guo","suffix":""},{"id":271285107,"identity":"829e34a8-effc-4fed-bf40-00477ee9718b","order_by":5,"name":"Ciyong Lu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABBklEQVRIiWNgGAWjYBACPiA+AGLwgxgPYMI8eLSwwbRINgAZCcRqAQMDkEbitEgkPzzMU3HHbvO1ww+BttQlzp+RwPjgbRuDvDlOLWkGh3nOPEvedjvNAKjlcOKGGwnMhnPbGAx3NuDSksNwmLftcLLZ7QSQlgOJGyQS2KR52xgSwE7Fp8V4dvoHmMPYfxOjxc5AOgdkC3Niw40ENma8WnieGRycc+ZwgsTtnIIDCQaHjTecedgsOeechOEGHFr42ZMff3hTcdief3b65g8fKupk57cnH/zwpsxGHpctIMAEjIXEBjDTgMGxgYERxJbArR4IGH8wMNjDOPb4VI6CUTAKRsHIBADpzWDi+c9lwgAAAABJRU5ErkJggg==","orcid":"","institution":"Sun Yat-Sen University","correspondingAuthor":true,"prefix":"","firstName":"Ciyong","middleName":"","lastName":"Lu","suffix":""},{"id":271285108,"identity":"74bcab78-4783-4262-969d-4c262b9f6609","order_by":6,"name":"Guoliang Huang","email":"","orcid":"","institution":"Center for ADR Monitoring of Guangdong","correspondingAuthor":false,"prefix":"","firstName":"Guoliang","middleName":"","lastName":"Huang","suffix":""}],"badges":[],"createdAt":"2024-02-01 04:14:46","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3915886/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3915886/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":50787734,"identity":"2b2cbf89-c541-45d0-b40a-b209c0861ab7","added_by":"auto","created_at":"2024-02-07 09:50:58","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":84392,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eStructural equation model of the relationship between opioid use, social support and total difficulties. \u003c/strong\u003e* \u003cem\u003eP \u003c/em\u003e\u0026lt; 0.05.\u003c/p\u003e","description":"","filename":"floatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-3915886/v1/07c210f519d4fed53c483a4b.png"},{"id":50787732,"identity":"141503cc-6556-4582-bb52-2ae5fd1fc514","added_by":"auto","created_at":"2024-02-07 09:50:58","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":83924,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eStructural equation model of the relationship between sedative use, social support and total difficulties.\u003c/strong\u003e * \u003cem\u003eP\u003c/em\u003e\u0026lt; 0.05.\u003c/p\u003e","description":"","filename":"floatimage2.png","url":"https://assets-eu.researchsquare.com/files/rs-3915886/v1/58db367f62c2b2bd67303c4b.png"},{"id":50787735,"identity":"b11fcc12-c959-4c5c-b700-8dc97f1c816f","added_by":"auto","created_at":"2024-02-07 09:50:58","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":84162,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eStructural equation model of the relationship between APDU, social support and total difficulties.\u003c/strong\u003e * \u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05.\u003c/p\u003e","description":"","filename":"floatimage3.png","url":"https://assets-eu.researchsquare.com/files/rs-3915886/v1/98bf5cdd6d60ed6c0034c728.png"},{"id":79342411,"identity":"7e57ba45-0b07-429b-b18a-000f221e5604","added_by":"auto","created_at":"2025-03-27 08:54:09","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2290665,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3915886/v1/b7f1b837-05ef-45f6-ba9c-0623128a4265.pdf"},{"id":50788176,"identity":"37eafcf7-e531-4bbd-9f38-597aab421d1d","added_by":"auto","created_at":"2024-02-07 09:58:58","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":27315,"visible":true,"origin":"","legend":"","description":"","filename":"Supplementarymaterial.docx","url":"https://assets-eu.researchsquare.com/files/rs-3915886/v1/40f63b5ba9b2d8cd7331caaa.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Association between Non-Medical Use of Prescription Drugs and Emotional and Behavioral Problems among Chinese Adolescents: The Mediating Effects of Social Support","fulltext":[{"header":"Introduction","content":"\u003cp\u003eNon-medical use of prescription drugs (NMUPD) denotes using medication without a prescription or for purposes other than its intended use [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. The immense burdens of NMUPD have become a threat to public health [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. In the 2019 Global Burden of Disease study, 18.1\u0026nbsp;million adolescents aged 10\u0026ndash;24 were estimated to be living with drug use disorders worldwide [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. Our prior study also indicated that 3.1% of adolescents reported NMUPD [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. Although the prevalence was relatively low, previous studies have confirmed that NMUPD was associated with more internal and external problems, such as major depressive episode [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e], suicide attempts [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e], anxiety disorders [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e] and so on, which were top ten causes of disease burden in adolescents aged 10\u0026ndash;24 years [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eDue to the high prevalence and life-long impairment, emotional and behavioral problems (EBPs) have frequently been identified as critical mental health problems for adolescent development [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. The global average prevalence of mental disorders among adolescent was 12% in 2019 [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. A recent national survey conducted in China showed that 17.6% of Chinese school children and adolescents were identified as having EBPs [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. A systematic review showed that NMUPD can also cause several adverse mental health outcomes, including neurotic, stress-related and somatoform disorders, intimate partner violence and so on [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. Despite there have been sufficient studies demonstrated the association between NMUPD and mental disorders, previous study usually focused on specified aspects of EBPs [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e] or mainly took opioids misuse [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e] into consideration. Consequently, it is significant to explore the comprehensive association of NMUPD \u0026lsquo;s effect on EBPs.\u003c/p\u003e \u003cp\u003eFurthermore, there is a potential indirect impact of social support on the association between NMUPD and EBPs. On one hand, there exists widespread stigmatization of substance abuse within the general public [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. Individuals are more inclined to maintain greater social distance from those with substance abuse issues in both personal life and professional settings [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. Moreover, individuals grappling with substance abuse may internalize societal stigmas, align with stereotypes, and manifest low self-esteem, increased social distance, and a reluctance to seek assistance [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. The initiation of NMUPD during middle school was associated with diminished social functioning in high school, characterized by a perceived lack of peer support or acceptance and interpersonal challenges [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. On the other hand, a lower level of social support was correlated with an elevated prevalence of EBPs, such as depression[\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e], suicide ideation [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e], multiple problem behaviors (alcohol use, drug use, trouble with peers) [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e]. However, few studies have been undertaken to investigate the role of social support in the effects of NMUPD on EBPs.\u003c/p\u003e \u003cp\u003eTherefore, we conducted this large-scale study to (1) explore the prevalence of NMUPD among Chinese adolescents, to (2) demonstrate the association between NMUPD and EBPs, and to (3) determine the underlying role of social support on aforementioned association.\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eSample and procedure\u003c/h2\u003e \u003cp\u003eThe study using data from the 2021 School-based Chinese Adolescents Health Survey (SCAHS), an ongoing cross-sectional investigation of health-related behaviors among Chinese adolescents in grades 7 to 12, conducted biennially since 2007. The specific sampling method has been elaborated in a previous study [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. A total of 23,409 students aged 10\u0026ndash;21 years participated in our study. After data cleaning, missing values and outliers were excluded, 23,364 students were finally included for analysis (effective rate: 99.8%). The results of the sensitivity analysis demonstrated no statistical significance in baseline characteristics between the groups of participants included and excluded (Table \u003cspan refid=\"MOESM1\" class=\"InternalRef\"\u003eS1\u003c/span\u003e in the supplement).\u003c/p\u003e \u003cp\u003e Approval for the study was granted by the Institutional Review Board of the Sun Yat-Sen University School of Public Health. To safeguard the privacy of the participants, the structural questionnaires were designed to maintain anonymity. Trained investigators conducted the introduction, distribution, recycling and completeness review of the questionnaire without the involvement of teachers in 45 minutes.\u003c/p\u003e \u003c/div\u003e"},{"header":"Measures","content":"\u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003eNon-medical use of prescription drugs\u003c/h2\u003e \u003cp\u003e3 indicators of NMUPD were considered: specifically, the non-medical use of opioids, sedatives, and any prescription drug use (APDU) throughout an individual's lifetime. To assess non-medical use of opioids or sedatives, participants were asked, \"Have you ever used the following prescription drugs for a non-medical purpose?\" Responses were used to determine the relevant NMUPD status variable, categorized into two groups: non-users (never used, coded as 0) and lifetime non-medical users (coded as 1).\u003c/p\u003e \u003cp\u003eThe prescription drugs list was formulated based on medications that commonly reported by adolescent with substance abuse issues in rehabilitation centers of China. Opioid drugs encompassed dextromethorphan preparation, compounded cough syrup with codeine(codeine), compounded liquor ice tablets (opium), diphenoxylate and tramadol hydrochloride. Sedative drugs comprised scopolamine hydrobromide tablets (barbiturates), compounded aminopyrine phenacetin tablets (barbiturates), and diazepam or triazolam (benzodiazepines).\u003c/p\u003e \u003cdiv id=\"Sec6\" class=\"Section3\"\u003e \u003ch2\u003eEmotional and behavioral problems\u003c/h2\u003e \u003cp\u003eThe Strengths and Difficulties Questionnaire (SDQ) was employed to assess EBPs [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. Widely recognized as a multidimensional mental health screening instrument for adolescents, the SDQ has exhibited robust reliability and validity in its application among Chinese adolescents [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]. Comprising of 25 items, the SDQ is structured into 5 scales: emotional problem, conduct problem, hyperactivity, peer problem and prosocial behavior. \u0026lsquo;Total difficulties\u0026rsquo; was assessed using the total scores of the first 4 subscales, with the prosocial behavior subscale scores separated from the total difficulties. Response options were provided on a 3- point Likert scale (not true\u0026thinsp;=\u0026thinsp;1, somewhat true\u0026thinsp;=\u0026thinsp;2, certainly true\u0026thinsp;=\u0026thinsp;3). Elevated total scores on the first 4 subscales indicated a higher level of EBPs, apart from the prosocial behavior subscale, where elevated scores were associated with a lower level of EBPs. According to the norms established by Shanghai Mental Health Center, the cutoff scores were \u0026ge;\u0026thinsp;20 for total difficulties, and \u0026le;\u0026thinsp;4 for prosocial behavior problems [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e]. Adolescents with higher scores in total difficulties and lower scores in prosocial behavior were identified at higher risk for EBPs. The internal consistency of the SDQ was satisfactory in current study, showing Cronbach\u0026rsquo;s \u003cem\u003eα\u003c/em\u003e values of 0.77 for total difficulties and 0.78 for prosocial behavior.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section3\"\u003e \u003ch2\u003eMediators\u003c/h2\u003e \u003cp\u003eThe level of social support was evaluated using the Adolescent Social Support Scale [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e], a validated instrument by Luo et al [\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e], demonstrating satisfactory measurement accuracy and reliability. Comprising 17 items and organized into 3 dimensions (subjective support, objective support and support utility), the scale employed a 5-point Likert scale (true\u0026thinsp;=\u0026thinsp;5, somewhat true\u0026thinsp;=\u0026thinsp;4, not sure\u0026thinsp;=\u0026thinsp;3, somewhat not true\u0026thinsp;=\u0026thinsp;2, not true\u0026thinsp;=\u0026thinsp;1). Scores on the scale span from 17 to 85, with elevated scores signifying a heightened level of social support. The Cronbach's \u003cem\u003eα\u003c/em\u003e values were 0.91 for subjective support, 0.87 for objective support, and 0.91 for support utility in this study.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section3\"\u003e \u003ch2\u003eCovariates\u003c/h2\u003e \u003cp\u003eThe analysis included factors previously reported to be associated with NMUPD or EBPs [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e, \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e]. Smoking and drinking were assessed by inquiring whether participants had ever smoked a cigarette or consumed alcohol (yes\u0026thinsp;=\u0026thinsp;1, no\u0026thinsp;=\u0026thinsp;2).\u003c/p\u003e \u003cp\u003eSociodemographic variables included age, gender (boy\u0026thinsp;=\u0026thinsp;1, girl\u0026thinsp;=\u0026thinsp;2), living arrangement, household socioeconomic status (HSS), father\u0026rsquo;s education level, mother\u0026rsquo;s education level, parent\u0026rsquo;s marital status, study pressure, relationships with classmates or teachers. Living arrangement was determined by querying about who lived with the student (living with both parents\u0026thinsp;=\u0026thinsp;1, living with a single parent\u0026thinsp;=\u0026thinsp;2, living with others\u0026thinsp;=\u0026thinsp;3). HSS was evaluated by inquiring about the student's perceptions of their household's present socioeconomic level (excellent or very good\u0026thinsp;=\u0026thinsp;1, average\u0026thinsp;=\u0026thinsp;2 and fair or poor\u0026thinsp;=\u0026thinsp;3). Father\u0026rsquo;s/mother\u0026rsquo;s education level was classified based on the adolescent\u0026rsquo;s knowledge of parent (primary and below =\u0026thinsp;1, junior high school\u0026thinsp;=\u0026thinsp;2, high school\u0026thinsp;=\u0026thinsp;3, college or university degree or above =\u0026thinsp;4, unknown\u0026thinsp;=\u0026thinsp;5). Parent\u0026rsquo;s marital status was evaluated by the student's perspectives on their parents' relationship (good\u0026thinsp;=\u0026thinsp;1, occasionally or often arguing\u0026thinsp;=\u0026thinsp;2, separation or divorce\u0026thinsp;=\u0026thinsp;3). Adolescent study pressure was evaluated by assessing their perception of academic pressure at school (less =\u0026thinsp;1, average\u0026thinsp;=\u0026thinsp;2, large\u0026thinsp;=\u0026thinsp;3). The assessment of relationships with classmates and teacher relied on student's self-rating (good\u0026thinsp;=\u0026thinsp;1, average\u0026thinsp;=\u0026thinsp;2, poor\u0026thinsp;=\u0026thinsp;3).\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003eStatistical analysis\u003c/h2\u003e \u003cp\u003eFirst, descriptive analyses stratified by opioid misuse, sedative misuse and APDU were employed to describe the sample characteristics, with the data presented as number (%) and mean (standard deviation, SD). Chi-square tests were employed for categorical variables, while t-tests were conducted for continuous variables to scrutinize distinctions between the two groups (non-users and lifetime non-medical users). Second, Univariable linear regression analyses were carried out to examine the potential association of NMUPD with total difficulties or prosocial behaviors respectively. Third, multivariable linear regression analysis was performed to explore their associations after incorporating variables with a significance level of \u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.10 in univariable analyses or widely reported in the literature. Fourth, structural equation modeling (SEM) models, utilizing the maximum likelihood (ML) method, were employed to evaluate the mediating effects of social support on the association between NMUPD and EBPs. As both social support and EBPs were continuous variables, while NMUPD was categorized, the study reported the standardized path coefficients, standardized total effects, and standardized indirect effects. Bias-corrected 95% confidence intervals (CIs) were estimated using 1000 bootstrap samples. All statistical tests were two-tailed, and statistical significance set at \u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05. R 4.1.3 (the R Foundation for Statistical Computing, Vienna, Austria) and Mplus 8.3 (Muth\u0026eacute;n and Muth \u0026eacute;n, Los Angeles, California, USA) were employed for statistical analyses.\u003c/p\u003e \u003c/div\u003e"},{"header":"Results","content":"\u003cp\u003e\u003cstrong\u003eSample characteristics\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTable 1 shows the sample characteristics. Out of 23,364 eligible participants, half were boys (11,922/23,364) and the mean (SD) age was 14.8 (1.7) years. Among the adolescents, 1.3% (298/23,364) reported opioid misuse, 0.4% (93/23,364) reported sedative misuse, and 1.5% (360/23,364) reported APDU. Adolescents with the behavior of NMUPD all had higher total difficulties scores (opioid misuse: 14.6 vs. 11.0, \u003cem\u003eP\u003c/em\u003e \u0026lt; 0.001; sedative misuse: 16. 0 vs. 11.0, \u003cem\u003eP\u003c/em\u003e \u0026lt; 0.001; APDU: 14.6 vs. 10.9, \u003cem\u003eP\u003c/em\u003e \u0026lt; 0.001) and lower prosocial behavior scores (opioid misuse: 6.6 vs. 6.9, \u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05; sedative misuse: 6.3 vs. 6.9, P \u0026lt; 0.01; APDU: 6.6 vs. 6.9, \u003cem\u003eP\u003c/em\u003e \u0026lt; 0.01) and lower social support scores (opioid misuse: 61.9 vs. 67. 8, \u003cem\u003eP\u003c/em\u003e \u0026lt; 0.001; sedative misuse: 56.8 vs. 67.7, \u003cem\u003eP\u003c/em\u003e \u0026lt; 0.001; APDU: 61.5 vs. 67.8, \u003cem\u003eP\u003c/em\u003e \u0026lt; 0.001) than those without the behavior of NMUPD. \u0026nbsp;\u003c/p\u003e\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" align=\"left\" width=\"975\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"11\" style=\"width: 57.7265%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable 1 Sample characteristics among\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e23,364\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;adolescents\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.668032786885245%\" rowspan=\"2\" style=\"width: 12.9732%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.504098360655737%\" rowspan=\"2\" style=\"width: 5.6595%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal, \u003cem\u003en\u003c/em\u003e (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.311475409836067%\" colspan=\"3\" style=\"width: 18.2844%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOpioid misuse\u003c/strong\u003e\u003cstrong\u003e, \u003cem\u003en\u003c/em\u003e (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.311475409836067%\" colspan=\"3\" style=\"width: 16.3689%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSedative misuse\u003c/strong\u003e\u003cstrong\u003e, \u003cem\u003en\u003c/em\u003e (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.311475409836067%\" colspan=\"3\" style=\"width: 14.7146%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAPDU, \u003cem\u003en\u003c/em\u003e (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.987860394537178%\" style=\"width: 6.4431%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5948406676783%\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.828528072837633%\" style=\"width: 5.137%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP value\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.987860394537178%\" style=\"width: 5.3983%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5948406676783%\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.828528072837633%\" style=\"width: 4.3534%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP value\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.987860394537178%\" style=\"width: 4.7888%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5948406676783%\" style=\"width: 4.9629%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.828528072837633%\" style=\"width: 5.05%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP value\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.9732%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 5.6595%;\"\u003e\n \u003cp\u003e23,364\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.4431%;\"\u003e\n \u003cp\u003e298 (1.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e23,066 (98.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.137%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 5.3983%;\"\u003e\n \u003cp\u003e93 (0.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e23,271 (99.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 4.3534%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.7888%;\"\u003e\n \u003cp\u003e360 (1.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.9629%;\"\u003e\n \u003cp\u003e23,004 (98.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.05%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.9732%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAge, mean (SD)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 5.6595%;\"\u003e\n \u003cp\u003e\u0026nbsp;14.8 (1.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.4431%;\"\u003e\n \u003cp\u003e14.7 (1.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp;14.9 (1.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.137%;\"\u003e\n \u003cp\u003e0.067\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 5.3983%;\"\u003e\n \u003cp\u003e14.7 (1.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp;14.9 (1.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 4.3534%;\"\u003e\n \u003cp\u003e0.401\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.7888%;\"\u003e\n \u003cp\u003e14.7 (1.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.9629%;\"\u003e\n \u003cp\u003e\u0026nbsp;14.85 (1.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.05%;\"\u003e\n \u003cp\u003e0.113\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.9732%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGender\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 5.6595%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.4431%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.137%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.3983%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 4.3534%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.7888%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.9629%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.05%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.9732%;\"\u003e\n \u003cp\u003eBoys\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.6595%;\"\u003e\n \u003cp\u003e\u0026nbsp;11,922 (51.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.4431%;\"\u003e\n \u003cp\u003e\u0026nbsp; 162 (54.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp;11760 (51.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.137%;\"\u003e\n \u003cp\u003e0.271\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 5.3983%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;46 (49.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp;11876 (51.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 4.3534%;\"\u003e\n \u003cp\u003e0.843\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.7888%;\"\u003e\n \u003cp\u003e\u0026nbsp; 193 (53.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.9629%;\"\u003e\n \u003cp\u003e\u0026nbsp;11729 (51.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.05%;\"\u003e\n \u003cp\u003e0.350\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.9732%;\"\u003e\n \u003cp\u003eGirls\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.6595%;\"\u003e\n \u003cp\u003e\u0026nbsp;11,442 (49.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.4431%;\"\u003e\n \u003cp\u003e\u0026nbsp; 136 (45.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp;11306 (49.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.137%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 5.3983%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;47 (50.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp;11395 (49.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 4.3534%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.7888%;\"\u003e\n \u003cp\u003e\u0026nbsp; 167 (46.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.9629%;\"\u003e\n \u003cp\u003e\u0026nbsp;11275 (49.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.05%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.9732%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLiving arrangement\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.6595%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.4431%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.137%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.3983%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 4.3534%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.7888%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.9629%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.05%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.9732%;\"\u003e\n \u003cp\u003eTwo biological parents\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.6595%;\"\u003e\n \u003cp\u003e\u0026nbsp;17,948 (76.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.4431%;\"\u003e\n \u003cp\u003e\u0026nbsp; 198 (66.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp;17750 (77.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.137%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.3983%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;59 (63.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp;17889 (76.9)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 4.3534%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.020\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.7888%;\"\u003e\n \u003cp\u003e\u0026nbsp; 237 (65.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.9629%;\"\u003e\n \u003cp\u003e\u0026nbsp;17711 (77.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.05%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.9732%;\"\u003e\n \u003cp\u003eOnly father or mother\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.6595%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;3,022 (12.9)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.4431%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;57 (19.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;2965 (12.9)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.137%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.3983%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;19 (20.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;3003 (12.9)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 4.3534%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.7888%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;67 (18.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.9629%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;2955 (12.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.05%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.9732%;\"\u003e\n \u003cp\u003eOthers\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.6595%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;2,347 (10.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.4431%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;43 (14.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;2304 (10.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.137%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.3983%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;15 (16.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;2332 (10.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 4.3534%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.7888%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;56 (15.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.9629%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;2291 (10.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.05%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.9732%;\"\u003e\n \u003cp\u003eMissing data\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.6595%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;47 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.4431%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 0 (0.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;47 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.137%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.3983%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 0 (0.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;47 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 4.3534%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.7888%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 0 (0.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.9629%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;47 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.05%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.9732%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHousehold socioeconomic status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 5.6595%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.4431%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.137%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.3983%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 4.3534%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.7888%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.9629%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.05%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.9732%;\"\u003e\n \u003cp\u003eExcellent or very good\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.6595%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;7,411 (31.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.4431%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;98 (32.9)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;7313 (31.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.137%;\"\u003e\n \u003cp\u003e0.053\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.3983%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;31 (33.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;7380 (31.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 4.3534%;\"\u003e\n \u003cp\u003e0.267\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.7888%;\"\u003e\n \u003cp\u003e\u0026nbsp; 112 (31.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.9629%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;7299 (31.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.05%;\"\u003e\n \u003cp\u003e0.094\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.9732%;\"\u003e\n \u003cp\u003e\u0026nbsp;Average\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.6595%;\"\u003e\n \u003cp\u003e\u0026nbsp;13,878 (59.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.4431%;\"\u003e\n \u003cp\u003e\u0026nbsp; 162 (54.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp;13716 (59.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.137%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.3983%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;49 (52.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp;13829 (59.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 4.3534%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.7888%;\"\u003e\n \u003cp\u003e\u0026nbsp; 204 (56.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.9629%;\"\u003e\n \u003cp\u003e\u0026nbsp;13674 (59.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.05%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.9732%;\"\u003e\n \u003cp\u003e\u0026nbsp;Fair or poor\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.6595%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;2032 (8.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.4431%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;38 (12.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;1994 (8.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.137%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.3983%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;13 (14.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;2019 (8.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 4.3534%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.7888%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;44 (12.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.9629%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;1988 (8.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.05%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.9732%;\"\u003e\n \u003cp\u003eMissing data\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.6595%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;43 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.4431%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 0 (0.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;43 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.137%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.3983%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 0 (0.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;43 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 4.3534%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.7888%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 0 (0.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.9629%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;43 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.05%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.9732%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFather education level\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.6595%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.4431%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.137%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.3983%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 4.3534%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.7888%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.9629%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.05%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.9732%;\"\u003e\n \u003cp\u003ePrimary and below\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.6595%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;1832 (7.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.4431%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;23 (7.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;1809 (7.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.137%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.012\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.3983%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 7 (7.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;1825 (7.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 4.3534%;\"\u003e\n \u003cp\u003e0.814\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.7888%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;27 (7.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.9629%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;1805 (7.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.05%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.043\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.9732%;\"\u003e\n \u003cp\u003eJunior high school\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.6595%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;9387 (40.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.4431%;\"\u003e\n \u003cp\u003e\u0026nbsp; 101 (33.9)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;9286 (40.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.137%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.3983%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;33 (35.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;9354 (40.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 4.3534%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.7888%;\"\u003e\n \u003cp\u003e\u0026nbsp; 125 (34.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.9629%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;9262 (40.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.05%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.9732%;\"\u003e\n \u003cp\u003eHigh school\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.6595%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;5641 (24.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.4431%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;85 (28.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;5556 (24.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.137%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.3983%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;24 (25.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;5617 (24.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 4.3534%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.7888%;\"\u003e\n \u003cp\u003e\u0026nbsp; 101 (28.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.9629%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;5540 (24.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.05%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.9732%;\"\u003e\n \u003cp\u003eCollege or university degree or above\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.6595%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;4372 (18.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.4431%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;72 (24.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;4300 (18.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.137%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.3983%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;22 (23.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;4350 (18.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 4.3534%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.7888%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;83 (23.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.9629%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;4289 (18.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.05%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.9732%;\"\u003e\n \u003cp\u003eUnknown\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.6595%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;2082 (8.9)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.4431%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;16 (5.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;2066 (9.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.137%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.3983%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 7 (7.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;2075 (8.9)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 4.3534%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.7888%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;23 (6.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.9629%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;2059 (9.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.05%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.9732%;\"\u003e\n \u003cp\u003eMissing data\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.6595%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;50 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.4431%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 1 (0.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;49 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.137%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.3983%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 0 (0.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.7043%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;50 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 4.3534%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.7888%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 1 (0.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.9629%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;49 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.05%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.2069%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMother education level\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.1079%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.675%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.8481%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.2069%;\"\u003e\n \u003cp\u003ePrimary and below\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.1079%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2970 (12.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;28 (9.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2942 (12.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e0.173\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;11 (11.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2959 (12.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e0.716\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.675%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;37 (10.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.8481%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2933 (12.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e0.283\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.2069%;\"\u003e\n \u003cp\u003eJunior high school\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.1079%;\"\u003e\n \u003cp\u003e\u0026nbsp; 9489 (40.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; 112 (37.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; 9377 (40.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;35 (37.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; 9454 (40.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.675%;\"\u003e\n \u003cp\u003e\u0026nbsp; 136 (37.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.8481%;\"\u003e\n \u003cp\u003e\u0026nbsp; 9353 (40.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.2069%;\"\u003e\n \u003cp\u003eHigh school\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.1079%;\"\u003e\n \u003cp\u003e\u0026nbsp; 5094 (21.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;79 (26.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; 5015 (21.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;19 (20.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; 5075 (21.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.675%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;91 (25.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.8481%;\"\u003e\n \u003cp\u003e\u0026nbsp; 5003 (21.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.2069%;\"\u003e\n \u003cp\u003eCollege or university degree or above\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.1079%;\"\u003e\n \u003cp\u003e\u0026nbsp; 3786 (16.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;55 (18.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; 3731 (16.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;21 (22.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; 3765 (16.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.675%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;67 (18.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.8481%;\"\u003e\n \u003cp\u003e\u0026nbsp; 3719 (16.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.2069%;\"\u003e\n \u003cp\u003eUnknown\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.1079%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2001 (8.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;24 (8.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; 1977 (8.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 7 (7.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; 1994 (8.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.675%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;29 (8.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.8481%;\"\u003e\n \u003cp\u003e\u0026nbsp; 1972 (8.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.2069%;\"\u003e\n \u003cp\u003eMissing data\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.1079%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 24 (0.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 0 (0.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 24 (0.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 0 (0.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 24 (0.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.675%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 0 (0.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.8481%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 24 (0.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.2069%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eParents\u0026rsquo; marital status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.1079%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.675%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.8481%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.2069%;\"\u003e\n \u003cp\u003eGood\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.1079%;\"\u003e\n \u003cp\u003e\u0026nbsp;12327 (52.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; 103 (34.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp;12224 (53.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;33 (35.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp;12294 (52.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.008\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.675%;\"\u003e\n \u003cp\u003e\u0026nbsp; 128 (35.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.8481%;\"\u003e\n \u003cp\u003e\u0026nbsp;12199 (53.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.2069%;\"\u003e\n \u003cp\u003eOccasionally or often arguing\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.1079%;\"\u003e\n \u003cp\u003e\u0026nbsp; 8928 (38.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; 150 (50.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; 8778 (38.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;47 (50.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; 8881 (38.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.675%;\"\u003e\n \u003cp\u003e\u0026nbsp; 180 (50.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.8481%;\"\u003e\n \u003cp\u003e\u0026nbsp; 8748 (38.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.2069%;\"\u003e\n \u003cp\u003eSeparation or divorce\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.1079%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2071 (8.9)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;45 (15.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2026 (8.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;13 (14.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2058 (8.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.675%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;52 (14.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.8481%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2019 (8.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.2069%;\"\u003e\n \u003cp\u003eMissing data\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.1079%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 38 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 0 (0.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 38 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 0 (0.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 38 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.675%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 0 (0.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.8481%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 38 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.2069%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStudy Pressure\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.1079%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.675%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.8481%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.2069%;\"\u003e\n \u003cp\u003eLess\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.1079%;\"\u003e\n \u003cp\u003e\u0026nbsp; 4697 (20.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;59 (19.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; 4638 (20.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;18 (19.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; 4679 (20.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e0.071\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.675%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;72 (20.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.8481%;\"\u003e\n \u003cp\u003e\u0026nbsp; 4625 (20.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.2069%;\"\u003e\n \u003cp\u003eAverage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.1079%;\"\u003e\n \u003cp\u003e\u0026nbsp;10694 (45.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; 107 (35.9)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp;10587 (45.9)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;32 (34.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp;10662 (45.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.675%;\"\u003e\n \u003cp\u003e\u0026nbsp; 123 (34.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.8481%;\"\u003e\n \u003cp\u003e\u0026nbsp;10571 (46.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.2069%;\"\u003e\n \u003cp\u003eLarge\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.1079%;\"\u003e\n \u003cp\u003e\u0026nbsp; 7927 (33.9)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; 131 (44.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; 7796 (33.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;43 (46.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; 7884 (33.9)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.675%;\"\u003e\n \u003cp\u003e\u0026nbsp; 164 (45.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.8481%;\"\u003e\n \u003cp\u003e\u0026nbsp; 7763 (33.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.2069%;\"\u003e\n \u003cp\u003eMissing data\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.1079%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 46 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 1 (0.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 45 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 0 (0.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 46 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.675%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 1 (0.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.8481%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 45 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.2069%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eRelationships with classmates\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.1079%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.675%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.8481%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.2069%;\"\u003e\n \u003cp\u003eGood\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.1079%;\"\u003e\n \u003cp\u003e\u0026nbsp;18577 (79.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; 220 (73.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp;18357 (79.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;60 (64.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp;18517 (79.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.675%;\"\u003e\n \u003cp\u003e\u0026nbsp; 261 (72.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.8481%;\"\u003e\n \u003cp\u003e\u0026nbsp;18316 (79.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.2069%;\"\u003e\n \u003cp\u003eAverage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.1079%;\"\u003e\n \u003cp\u003e\u0026nbsp; 4331 (18.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;62 (20.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; 4269 (18.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;24 (25.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; 4307 (18.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.675%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;79 (21.9)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.8481%;\"\u003e\n \u003cp\u003e\u0026nbsp; 4252 (18.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.2069%;\"\u003e\n \u003cp\u003ePoor\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.1079%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;344 (1.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;16 (5.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;328 (1.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 9 (9.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;335 (1.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.675%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;20 (5.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.8481%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;324 (1.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 12.2069%;\"\u003e\n \u003cp\u003eMissing data\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 5.1079%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;112 (0.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 0 (0.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;112 (0.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 6.0602%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 0 (0.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.3199%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;112 (0.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.675%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 0 (0.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.8481%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;112 (0.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.5407%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 11.5434%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eRelationships with teachers\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 4.9103%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 7.2362%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.5657%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.6518%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 11.5434%;\"\u003e\n \u003cp\u003eGood\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 4.9103%;\"\u003e\n \u003cp\u003e\u0026nbsp;16211 (69.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; 181 (60.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp;16030 (69.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 7.2362%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;50 (53.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp;16161 (69.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.010\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.5657%;\"\u003e\n \u003cp\u003e\u0026nbsp; 216 (60.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.6518%;\"\u003e\n \u003cp\u003e\u0026nbsp;15995 (69.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 11.5434%;\"\u003e\n \u003cp\u003eAverage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 4.9103%;\"\u003e\n \u003cp\u003e\u0026nbsp; 6635 (28.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; 106 (35.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp; 6529 (28.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 7.2362%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;39 (41.9)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp; 6596 (28.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.5657%;\"\u003e\n \u003cp\u003e\u0026nbsp; 130 (36.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.6518%;\"\u003e\n \u003cp\u003e\u0026nbsp; 6505 (28.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 11.5434%;\"\u003e\n \u003cp\u003ePoor\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 4.9103%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;350 (1.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;10 (3.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;340 (1.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 7.2362%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 3 (3.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;347 (1.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.5657%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;13 (3.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.6518%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;337 (1.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 11.5434%;\"\u003e\n \u003cp\u003eMissing data\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 4.9103%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;168 (0.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 1 (0.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;167 (0.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 7.2362%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 1 (1.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;167 (0.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.5657%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 1 (0.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.6518%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;167 (0.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 11.5434%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSmoking\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 4.9103%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 7.2362%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.5657%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.6518%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 11.5434%;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 4.9103%;\"\u003e\n \u003cp\u003e\u0026nbsp;22359 (95.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; 263 (88.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp;22096 (95.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 7.2362%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;81 (87.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp;22278 (95.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.5657%;\"\u003e\n \u003cp\u003e\u0026nbsp; 318 (88.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.6518%;\"\u003e\n \u003cp\u003e\u0026nbsp;22041 (95.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 11.5434%;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 4.9103%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;795 (3.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;30 (10.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;765 (3.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 7.2362%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;11 (11.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;784 (3.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.5657%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;37 (10.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.6518%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;758 (3.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 11.5434%;\"\u003e\n \u003cp\u003eMissing data\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 4.9103%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;210 (0.9)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 5 (1.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;205 (0.9)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 7.2362%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 1 (1.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;209 (0.9)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.5657%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 5 (1.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.6518%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;205 (0.9)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 11.5434%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDrinking\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 4.9103%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 7.2362%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.5657%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.6518%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 11.5434%;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 4.9103%;\"\u003e\n \u003cp\u003e\u0026nbsp;20299 (86.9)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; 215 (72.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp;20084 (87.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 7.2362%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;60 (64.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp;20239 (87.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.5657%;\"\u003e\n \u003cp\u003e\u0026nbsp; 256 (71.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.6518%;\"\u003e\n \u003cp\u003e\u0026nbsp;20043 (87.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 11.5434%;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 4.9103%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2665 (11.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;74 (24.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2591 (11.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 7.2362%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;32 (34.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2633 (11.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.5657%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;95 (26.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.6518%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2570 (11.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 11.5434%;\"\u003e\n \u003cp\u003eMissing data\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 4.9103%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;400 (1.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 9 (3.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;391 (1.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 7.2362%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 1 (1.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;399 (1.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.5657%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 9 (2.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.6518%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;391 (1.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 11.5434%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal difficulties\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.9103%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 7.2362%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.5657%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.6518%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 11.5434%;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 4.9103%;\"\u003e\n \u003cp\u003e\u0026nbsp;22036 (94.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; 246 (82.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp;21790 (94.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 7.2362%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;68 (73.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp;21968 (94.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.5657%;\"\u003e\n \u003cp\u003e\u0026nbsp; 298 (82.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.6518%;\"\u003e\n \u003cp\u003e\u0026nbsp;21738 (94.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 11.5434%;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 4.9103%;\"\u003e\n \u003cp\u003e\u0026nbsp; 1277 (5.5)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;51 (17.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp; 1226 (5.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 7.2362%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;25 (26.9)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp; 1252 (5.4)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.5657%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;61 (16.9)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.6518%;\"\u003e\n \u003cp\u003e\u0026nbsp; 1216 (5.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 11.5434%;\"\u003e\n \u003cp\u003eMissing data\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 4.9103%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 51 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 1 (0.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 50 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 7.2362%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 0 (0.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 51 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.5657%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 1 (0.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.6518%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 50 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 11.5434%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eProsocial behavior\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.9103%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 7.2362%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.5657%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.6518%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 11.5434%;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 4.9103%;\"\u003e\n \u003cp\u003e\u0026nbsp;20355 (87.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; 244 (81.9)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp;20111 (87.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 7.2362%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.023\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;71 (76.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp;20284 (87.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.006\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.5657%;\"\u003e\n \u003cp\u003e\u0026nbsp; 292 (81.1)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.6518%;\"\u003e\n \u003cp\u003e\u0026nbsp;20063 (87.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.003\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 11.5434%;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 4.9103%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2967 (12.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;53 (17.8)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2914 (12.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 7.2362%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;22 (23.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2945 (12.7)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.5657%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;67 (18.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.6518%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2900 (12.6)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 11.5434%;\"\u003e\n \u003cp\u003eMissing data\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 4.9103%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 42 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" valign=\"top\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 1 (0.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" valign=\"top\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 41 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" valign=\"top\" style=\"width: 7.2362%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 5.6856%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 0 (0.0)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 6.0302%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 42 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 4.5657%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 1 (0.3)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 4.6518%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; 41 (0.2)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 5.341%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 7.2981%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal SDQ scores, mean (SD)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 2.9788%;\"\u003e\n \u003cp\u003e\u0026nbsp;11.0 (5.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 3.2767%;\"\u003e\n \u003cp\u003e14.6 (6.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 3.3264%;\"\u003e\n \u003cp\u003e\u0026nbsp;11.0 (5.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4753%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 3.2767%;\"\u003e\n \u003cp\u003e16.0 (6.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 3.3264%;\"\u003e\n \u003cp\u003e\u0026nbsp;11.0 (5.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4753%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 2.6313%;\"\u003e\n \u003cp\u003e14.6 (6.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 2.6313%;\"\u003e\n \u003cp\u003e\u0026nbsp;10.9 (5.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4257%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 7.2981%;\"\u003e\n \u003cp\u003eSDQ scores of emotional Problem, mean (SD)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 2.9788%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2.5 (2.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 3.2767%;\"\u003e\n \u003cp\u003e\u0026nbsp;3.9 (2.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 3.3264%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2.5 (2.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4753%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 3.2767%;\"\u003e\n \u003cp\u003e\u0026nbsp;4.3 (3.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 3.3264%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2.5 (2.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4753%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 2.6313%;\"\u003e\n \u003cp\u003e\u0026nbsp;3.9 (2.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 2.6313%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2.5 (2.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4257%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 7.2981%;\"\u003e\n \u003cp\u003eSDQ scores of conduct Problem, mean (SD)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 2.9788%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2.0 (1.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 3.2767%;\"\u003e\n \u003cp\u003e\u0026nbsp;2.7 (1.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 3.3264%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2.0 (1.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4753%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 3.2767%;\"\u003e\n \u003cp\u003e\u0026nbsp;3.1 (1.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 3.3264%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2.0 (1.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4753%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 2.6313%;\"\u003e\n \u003cp\u003e\u0026nbsp;2.7 (1.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 2.6313%;\"\u003e\n \u003cp\u003e\u0026nbsp; 2.0 (1.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4257%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 7.2981%;\"\u003e\n \u003cp\u003eSDQ scores of hyperactivity,\u0026nbsp;\u003c/p\u003e\n \u003cp\u003emean (SD)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 2.9788%;\"\u003e\n \u003cp\u003e\u0026nbsp; 3.4 (2.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 3.2767%;\"\u003e\n \u003cp\u003e\u0026nbsp;4.6 (2.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 3.3264%;\"\u003e\n \u003cp\u003e\u0026nbsp; 3.4 (2.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4753%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 3.2767%;\"\u003e\n \u003cp\u003e\u0026nbsp;4.9 (2.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 3.3264%;\"\u003e\n \u003cp\u003e\u0026nbsp; 3.4 (2.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4753%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 2.6313%;\"\u003e\n \u003cp\u003e\u0026nbsp;4.6 (2.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 2.6313%;\"\u003e\n \u003cp\u003e\u0026nbsp; 3.4 (2.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4257%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 7.2981%;\"\u003e\n \u003cp\u003eSDQ scores of peer relationship problems, mean (SD)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 2.9788%;\"\u003e\n \u003cp\u003e\u0026nbsp; 3.1 (1.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 3.2767%;\"\u003e\n \u003cp\u003e\u0026nbsp;3.5 (1.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 3.3264%;\"\u003e\n \u003cp\u003e\u0026nbsp; 3.1 (1.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4753%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 3.2767%;\"\u003e\n \u003cp\u003e\u0026nbsp;3.7 (1.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 3.3264%;\"\u003e\n \u003cp\u003e\u0026nbsp; 3.1 (1.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4753%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 2.6313%;\"\u003e\n \u003cp\u003e\u0026nbsp;3.5 (1.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 2.6313%;\"\u003e\n \u003cp\u003e\u0026nbsp; 3.1 (1.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4257%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 7.2981%;\"\u003e\n \u003cp\u003eSDQ scores of prosocial behavior, mean (SD)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 2.9788%;\"\u003e\n \u003cp\u003e\u0026nbsp; 6.9 (2.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 3.2767%;\"\u003e\n \u003cp\u003e\u0026nbsp;6.6 (2.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 3.3264%;\"\u003e\n \u003cp\u003e\u0026nbsp; 6.9 (2.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4753%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.025\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 3.2767%;\"\u003e\n \u003cp\u003e\u0026nbsp;6.3 (2.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 3.3264%;\"\u003e\n \u003cp\u003e\u0026nbsp; 6.9 (2.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4753%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.006\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 2.6313%;\"\u003e\n \u003cp\u003e\u0026nbsp;6.6 (2.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 2.6313%;\"\u003e\n \u003cp\u003e\u0026nbsp; 6.9 (2.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4257%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.006\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 7.2981%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal social support scores, mean (SD)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 2.9788%;\"\u003e\n \u003cp\u003e\u0026nbsp;67.7 (14.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 3.2767%;\"\u003e\n \u003cp\u003e61.9 (16.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 3.3264%;\"\u003e\n \u003cp\u003e\u0026nbsp;67.8 (14.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4753%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 3.2767%;\"\u003e\n \u003cp\u003e56.8 (18.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 3.3264%;\"\u003e\n \u003cp\u003e\u0026nbsp;67.7 (14.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4753%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 2.6313%;\"\u003e\n \u003cp\u003e61.5 (17.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 2.6313%;\"\u003e\n \u003cp\u003e\u0026nbsp;67.8 (14.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4257%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 7.2981%;\"\u003e\n \u003cp\u003eSocial support scores of subjective supports, mean (SD)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 2.9788%;\"\u003e\n \u003cp\u003e\u0026nbsp;20.0 (4.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 3.2767%;\"\u003e\n \u003cp\u003e18.5 (5.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 3.3264%;\"\u003e\n \u003cp\u003e\u0026nbsp;20.0 (4.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4753%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 3.2767%;\"\u003e\n \u003cp\u003e17.0 (6.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 3.3264%;\"\u003e\n \u003cp\u003e\u0026nbsp;20.0 (4.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4753%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 2.6313%;\"\u003e\n \u003cp\u003e18.3 (5.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 2.6313%;\"\u003e\n \u003cp\u003e\u0026nbsp;20.0 (4.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4257%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 7.2981%;\"\u003e\n \u003cp\u003eSocial support scores of objective supports, mean (SD)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 2.9788%;\"\u003e\n \u003cp\u003e\u0026nbsp;25.0 (5.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 3.2767%;\"\u003e\n \u003cp\u003e23.1 (6.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 3.3264%;\"\u003e\n \u003cp\u003e\u0026nbsp;25.1 (5.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4753%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 3.2767%;\"\u003e\n \u003cp\u003e21.7 (6.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 3.3264%;\"\u003e\n \u003cp\u003e\u0026nbsp;25.0 (5.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4753%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 2.6313%;\"\u003e\n \u003cp\u003e23.0 (6.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 2.6313%;\"\u003e\n \u003cp\u003e\u0026nbsp;25.1 (5.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4257%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.741007194244606%\" style=\"width: 7.2981%;\"\u003e\n \u003cp\u003eSocial support scores of support utility, mean (SD)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 2.9788%;\"\u003e\n \u003cp\u003e\u0026nbsp;22.6 (6.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 3.2767%;\"\u003e\n \u003cp\u003e20.3 (7.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 3.3264%;\"\u003e\n \u003cp\u003e\u0026nbsp;22.7 (6.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4753%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 3.2767%;\"\u003e\n \u003cp\u003e18.2 (7.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 3.3264%;\"\u003e\n \u003cp\u003e\u0026nbsp;22.7 (6.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4753%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.119218910585817%\" style=\"width: 2.6313%;\"\u003e\n \u003cp\u003e20.1 (7.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.530318602261048%\" style=\"width: 2.6313%;\"\u003e\n \u003cp\u003e\u0026nbsp;22.7 (6.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"4.6248715313463515%\" style=\"width: 3.4257%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"11\" style=\"width: 39.6681%;\"\u003e\n \u003cp\u003eNote. APDU=any prescription drug use;\u0026nbsp;SDQ=The Strengths and Difficulties Questionnaire.\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eAssociation of non-medical use of prescription drugs and social support with emotional and behavioral problems\u003c/strong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eTable 2 presented the associations of NMUPD and social support with EBPs. In \u003cstrong\u003eModel 1\u003c/strong\u003e, without adjusting for other variables, opioid misuse, sedative misuse and APDU were positively correlated with total difficulties and negatively associated with prosocial behavior (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05). Social support exhibited a negative association with total difficulties and a positive association with prosocial behavior (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.001). In \u003cstrong\u003eModel 2\u003c/strong\u003e, after accounting for control variables, opioid misuse, sedative misuse, and APDU were significantly associated with an elevated risk of total difficulties (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.001), while no statistical significance was found in the association between opioid misuse, sedative misuse, and APDU with prosocial behavior. The subscales of social support, including objective support and subjective support, demonstrated negative associations with total difficulties and positive associations with prosocial behavior (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.001). In \u003cstrong\u003eModel 3\u003c/strong\u003e, after accounting for control variables and social support, students reporting NMUPD (opioid misuse: adjusted \u003cem\u003e\u0026beta;\u003c/em\u003e estimate=2.06, 95%CI=1.53-2.60; sedative misuse: adjusted \u003cem\u003e\u0026beta;\u003c/em\u003e estimate=2.15, 95%CI=1.20-3.09; APDU: adjusted \u003cem\u003e\u0026beta;\u003c/em\u003e estimate=1.89, 95%CI=1.40-2.37) had a higher risk of total difficulties. In contrast, opioid misuse, sedative misuse and APDU showed no statistically significant association with prosocial behavior.\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" align=\"\" width=\"987\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"8\" style=\"width: 50.1602%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable2 Association of NMUPD and social support with EBPs\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;(\u003cem\u003en\u003c/em\u003e=23,364)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.184397163120567%\" rowspan=\"3\" style=\"width: 3.9509%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"40.93211752786221%\" colspan=\"3\" style=\"width: 24.3924%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal difficulties\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"42.14792299898683%\" colspan=\"3\" style=\"width: 21.5306%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eProsocial behavior\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.21580547112462%\" style=\"width: 0.3436%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.05667060212515%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eModel 1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.584415584415584%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eModel 2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.285714285714286%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eModel 3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.05667060212515%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eModel 1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.584415584415584%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eModel 2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.584415584415584%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eModel 3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4167650531286895%\" style=\"width: 0.3436%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.05667060212515%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eUnadjusted\u003cem\u003e\u0026nbsp;\u0026beta;\u0026nbsp;\u003c/em\u003eestimate (95%CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.584415584415584%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAdjusted\u003cem\u003e\u0026nbsp;\u0026beta;\u0026nbsp;\u003c/em\u003eestimate (95%CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.285714285714286%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAdjusted\u003cem\u003e\u0026nbsp;\u0026beta;\u0026nbsp;\u003c/em\u003eestimate (95%CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.05667060212515%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eUnadjusted\u003cem\u003e\u0026nbsp;\u0026beta;\u0026nbsp;\u003c/em\u003eestimate (95%CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.584415584415584%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAdjusted\u003cem\u003e\u0026nbsp;\u0026beta;\u0026nbsp;\u003c/em\u003eestimate (95%CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.584415584415584%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAdjusted\u003cem\u003e\u0026nbsp;\u0026beta;\u0026nbsp;\u003c/em\u003eestimate (95%CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.4167650531286895%\" style=\"width: 0.3436%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.184397163120567%\" style=\"width: 3.9509%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOpioid misuse\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.25937183383992%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.21580547112462%\" style=\"width: 0.3436%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.184397163120567%\" style=\"width: 3.9509%;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003eREF.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003eREF.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.25937183383992%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003eREF.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003eREF.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003eREF.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003eREF.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.21580547112462%\" style=\"width: 0.3436%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.184397163120567%\" style=\"width: 3.9509%;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003e3.68 (3.07, 4.30) ***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e2.37 (1.8, 2.94) ***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.25937183383992%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e2.06 (1.53, 2.60) ***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003e-0.30 (-0.57, -0.04) *\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u0026nbsp;-0.13 (-0.39, 0.13)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e-0.02 (-0.27, 0.22)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.21580547112462%\" style=\"width: 0.3436%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.184397163120567%\" style=\"width: 3.9509%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSedative misuse\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.25937183383992%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.21580547112462%\" style=\"width: 0.3436%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.184397163120567%\" style=\"width: 3.9509%;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003eREF.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003eREF.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.25937183383992%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003eREF.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003eREF.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003eREF.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003eREF.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.21580547112462%\" style=\"width: 0.3436%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.184397163120567%\" style=\"width: 3.9509%;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003e5.00 (3.90, 6.10) ***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e2.79 (1.78, 3.79) ***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.25937183383992%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e2.15 (1.20, 3.09) ***\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003e-0.66 (-1.13, -0.19) **\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e-0.39 (-0.84, 0.06)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e-0.18 (-0.61, 0.26)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.21580547112462%\" style=\"width: 0.3436%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.184397163120567%\" style=\"width: 3.9509%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAPDU\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.25937183383992%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.21580547112462%\" style=\"width: 0.3436%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.184397163120567%\" style=\"width: 3.9509%;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003eREF.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003eREF.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.25937183383992%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003eREF.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003eREF.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003eREF.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003eREF.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.21580547112462%\" style=\"width: 0.3436%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.184397163120567%\" style=\"width: 3.9509%;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003e3.64 (3.08, 4.21) ***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e2.23 (1.71, 2.75) ***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.25937183383992%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e1.89 (1.40, 2.37) ***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003e-0.34 (-0.58, -0.10) **\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e-0.14 (-0.38, 0.09)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e-0.02 (-0.25, 0.20)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.21580547112462%\" style=\"width: 0.3436%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.184397163120567%\" style=\"width: 3.9509%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSocial support subscale (1-score increase)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.25937183383992%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.21580547112462%\" style=\"width: 0.3436%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.184397163120567%\" style=\"width: 3.9509%;\"\u003e\n \u003cp\u003eSubjective support\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003e-0.51 (-0.52, -0.49) ***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e-0.21 (-0.23, -0.19) ***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.25937183383992%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003e0.17 (0.17, 0.18) ***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e0.11 (0.1, 0.12) ***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.21580547112462%\" style=\"width: 0.3436%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.184397163120567%\" style=\"width: 3.9509%;\"\u003e\n \u003cp\u003eObjective support\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003e-0.43 (-0.44, -0.41) ***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e-0.11 (-0.13, -0.09) ***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.25937183383992%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003e0.13 (0.13, 0.14)\u0026nbsp;***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e0.04 (0.03, 0.05) ***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.21580547112462%\" style=\"width: 0.3436%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.184397163120567%\" style=\"width: 3.9509%;\"\u003e\n \u003cp\u003eSupport utility\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003e-0.34 (-0.35, -0.33) ***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e-0.09 (-0.10, -0.07) ***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.25937183383992%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.779128672745694%\" style=\"width: 8.7607%;\"\u003e\n \u003cp\u003e0.10 (0.09, 0.10)\u0026nbsp;***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003e0.00 (-0.01, 0.01)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.373860182370821%\" style=\"width: 7.7873%;\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"1.21580547112462%\" style=\"width: 0.3436%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"8\" style=\"width: 53.3656%;\"\u003e\n \u003cp\u003eNote. NMUPD= non-medical use of prescription drugs; EBPs=emotional and behavioral problems;95% CI=95% confidence intervals.\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eModel 1:\u0026nbsp;univariate linear regression model showed the association of each variable (opioid misuse, sedative misuse, APDU and social support) with the total difficulties or prosocial behavior. Model 2: multivariable linear regression models incorporating\u0026nbsp;age, gender, living arrangement, HSS, mother\u0026rsquo;s education level, father\u0026rsquo;s education level,\u0026nbsp;study pressure, relationship with classmates, relationship with teachers, smoking, drinking as control variable. Model 3: multivariable linear regression models, incorporating the variables in Model 2 and social support as control variable.\u003c/p\u003e\n \u003cp\u003e* \u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05; **:\u003cem\u003eP\u003c/em\u003e\u0026lt;0.01; ***:\u003cem\u003eP\u003c/em\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eMediating effects of social support\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eSEM was separately conducted with opioid misuse, sedative misuse, and APDU as independent variables, emotional and behavioral problems (EBPs) as the dependent variable, and social support as the mediating factor. As shown in Table3, the standardized direct path coefficients of NMUPD on total difficulties (opioid misuse: standardized \u003cem\u003e\u0026beta;\u003c/em\u003e estimate = 0.052, 95% CI=0.036-0.066; sedative misuse: standardized \u003cem\u003e\u0026beta;\u003c/em\u003e estimate = 0.030, 95%CI=0.014-0.046; APDU: standardized \u003cem\u003e\u0026beta;\u003c/em\u003e estimate = 0.053, 95% CI = 0.039-0.068) have shown statistical significance.\u003c/p\u003e\n\u003cp\u003eThe standardized indirect effects of NMUPD on total difficulties (opioid misuse: standardized \u003cem\u003e\u0026beta;\u003c/em\u003e estimate = 0.009, 95%CI = 0.003 \u0026ndash; 0.015; sedative misuse: standardized \u003cem\u003e\u0026beta;\u003c/em\u003e estimate = 0.011, 95%CI = 0.004 \u0026ndash; 0.017; APDU: standardized \u003cem\u003e\u0026beta;\u003c/em\u003e estimate = 0.011, 95%CI = 0.005 \u0026ndash; 0.017) mediated by social support was statistically significant (\u003cem\u003eP\u0026nbsp;\u003c/em\u003e\u0026lt; 0.05). The indirect effects accounted for 14.75% for opioids, 27.50% for sedative and 17.19% for APDU respectively, suggesting that social support mediates the associations between NMUPD and total difficulties. The results of SEM models depicting the mediating roles of social support in the association between opioid misuse, sedative misuse, and APDU and EBPs are illustrated in Figures 1, 2 and 3, respectively.\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" align=\"\" width=\"673\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"3\" style=\"width: 78.1833%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable3 Mediating effects of social support on the relationship between NMUPD and EBPs (\u003cem\u003en\u003c/em\u003e=23,364)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" rowspan=\"2\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"61.812778603268946%\" colspan=\"2\" style=\"width: 53.1025%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal difficulties \u003csup\u003ea\u003c/sup\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"63.39712918660287%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStandardized \u003cem\u003e\u0026beta;\u003c/em\u003e estimate (95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"36.1244019138756%\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOpioid misuse\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.37592867756315%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.436849925705793%\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePath\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.37592867756315%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.436849925705793%\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003eOpioid misuse \u0026rarr;Social support\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.37592867756315%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e-0.020 (-0.034, -0.008)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.436849925705793%\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.002\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003eSocial support \u0026rarr; EBPs \u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.37592867756315%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e-0.442 (-0.461, -0.426)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.436849925705793%\" valign=\"top\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003eOpioid misuse\u0026nbsp;\u0026rarr;\u0026nbsp;EBPs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.37592867756315%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e0.052 (0.036, 0.066)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.436849925705793%\" valign=\"top\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStandardized effect\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.37592867756315%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.436849925705793%\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003eIndirect effect\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.37592867756315%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e0.009 (0.003, 0.015)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.436849925705793%\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.002\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003eTotal effect\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.37592867756315%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e0.061 (0.044, 0.076)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.436849925705793%\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003eProportion mediated, %\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"61.812778603268946%\" colspan=\"2\" style=\"width: 53.1025%;\"\u003e\n \u003cp\u003e14.75%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSedative misuse\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.37592867756315%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.436849925705793%\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePath\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.37592867756315%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.436849925705793%\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003eSedative misuse \u0026rarr;Social support\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.37592867756315%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e-0.024 (-0.038, -0.009)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.436849925705793%\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003eSocial support \u0026rarr; EBPs \u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.37592867756315%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e-0.442 (-0.461, -0.426)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.436849925705793%\" valign=\"top\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003eSedative misuse\u0026nbsp;\u0026rarr;\u0026nbsp;EBPs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.37592867756315%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e0.030 (0.014, 0.046)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.436849925705793%\" valign=\"top\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStandardized effect\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.37592867756315%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.436849925705793%\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003eIndirect effect\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.37592867756315%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e0.011 (0.004, 0.017)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.436849925705793%\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003eTotal effect\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.37592867756315%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e0.040 (0.024, 0.058)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.436849925705793%\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003eProportion mediated, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"61.812778603268946%\" colspan=\"2\" style=\"width: 53.1025%;\"\u003e\n \u003cp\u003e27.50%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAPDU\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.37592867756315%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.436849925705793%\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePath\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.37592867756315%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.436849925705793%\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003eAPDU\u0026nbsp;\u0026rarr;Social support\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.37592867756315%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e-0.025 (-0.039, -0.012)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.436849925705793%\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003eSocial support \u0026rarr;\u0026nbsp;EBPs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.37592867756315%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e-0.441 (-0.460, -0.425)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.436849925705793%\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003eAPDU\u0026nbsp;\u0026rarr;\u0026nbsp;EBPs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.37592867756315%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e0.053 (0.039, 0.068)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.436849925705793%\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStandardized effect\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.37592867756315%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.436849925705793%\" valign=\"top\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003eIndirect effect\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.37592867756315%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e0.011 (0.005, 0.017)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.436849925705793%\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003eTotal effect\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"39.37592867756315%\" style=\"width: 46.7897%;\"\u003e\n \u003cp\u003e0.064 (0.048, 0.079)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.436849925705793%\" style=\"width: 6.3129%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"37.89004457652303%\" style=\"width: 29.3364%;\"\u003e\n \u003cp\u003eProportion mediated, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"61.812778603268946%\" colspan=\"2\" style=\"width: 53.1025%;\"\u003e\n \u003cp\u003e17.20%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"99.70282317979198%\" colspan=\"3\" style=\"width: 82.4389%;\"\u003e\n \u003cp\u003eNote. NMUPD= non-medical use of prescription drugs; APDU=any prescription drug use; EBPs=emotional and behavioral problems; 95% CI=95% confidence intervals.\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u003csup\u003ea\u003c/sup\u003e The structural equation models for total difficulties were adjusted for age, gender, living arrangement, HSS, mother\u0026rsquo;s education level, father\u0026rsquo;s education level, study pressure, relationship with classmates, relationship with teachers, smoking, drinking; model fit indices ( opioid misuse: CFI= 0.905; RMSEA = 0.062, 95% CI = 0.061\u0026ndash;0.063; SRMR = 0.040; sedative misuse: CFI = 0.905; RMSEA = 0.062, 95% CI = 0.061\u0026ndash;0.063; SRMR = 0.040; APDU: CFI = 0.905; RMSEA = 0.062, 95% CI = 0.061\u0026ndash;0.063; SRMR = 0.040.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e"},{"header":"Discussion","content":"\u003cp\u003eTo our knowledge, this is one of the few large-scale studies aimed at illustrating the associations between NMUPD and EBPs within the Chinese adolescent population, while also evaluating the underlying role of social support in the aforementioned associations. Our study revealed a lifetime prevalence of 1.3% for opioid misuse, 0.4% for sedative misuse, and 1.5% for APDU, respectively. In comparison, 3.7% of US adolescents reported past-year opioid misuse, 2.1% reported sedative misuse, and 5.9% reported NMUPD, indicating an elevated prevalence rate of drug abuse among US teenagers [\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e]. Similarly, a lifetime prevalence of prescription drug misuse was 2.20% for opioids, 8.50% for sedatives, and 9.78% for APDU in Spanish adolescents [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e]. An average of 9.2% for lifetime non-medical pharmaceutical use and 6.6% for sedative misuse in European youth [\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e]. In this study, the observed rates of NMUPD among Chinese youths were notably lower compared to their counterparts in other countries. Likewise, previous evidence has suggested that significant racial disparities existed in opioid use disorder, and Asian populations had the lowest rate of opioid use disorder-related deaths, at a rate of 4.6 per 100,000 in 2020 [\u003cspan additionalcitationids=\"CR38\" citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e]. Consistent with previous studies, statistically significant difference has been observed in the distribution of living arrangement, HSS, father\u0026rsquo;s education level, parental marriage status, study pressure, relationships with classmates or teachers, smoking, drinking, and social support between adolescents with and without NMUPD [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e, \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e]. Therefore, considering the impact of these covariates may aid in identifying adolescents at elevated risk of substance abuse.\u003c/p\u003e \u003cp\u003eThe prevalence of total difficulties in EBPs was 5.4%, and the proportion of adolescents experiencing one or more EBPs reached 29.6% in this study. Previous studies indicated that the incidence rate of EBPs among adolescents aged 6\u0026ndash;16 years in China was 17.6% [\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e]. Notably, during the COVID-19 period, the prevalence of EBPs among Chinese adolescents rose to 31.6% concerning total difficulties [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e]. These findings underscore the transformation of emotional and behavioral disorders in adolescents into primary chronic conditions impacting their psychosocial functioning [\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eAfter adjusting for control variables, opioids misuse, sedatives misuse and APDU exhibited positive association with four dimensions of EBPs and negatively associated with prosocial behavior. Similarly, research conducted by Bhatia et al. demonstrated that adolescents who acknowledged a history of misusing prescription opioids were at an increased likelihood of engaging in a diverse array of risky behaviors, involving risky driving behaviors, instances of violent conduct, engagement in risky sexual behaviors, and suicide attempts [\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e]. Grant et al. also demonstrated that young people who misused sedative/tranquilizers were significantly more likely to have mental health problems [\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e]. Moreover, following adjustments for socio-demographic factors, our study observed that despite a slight reduction in effect sizes across all the adjusted models, sedative misuse, opioid misuse and APDU were still positively associated with total difficulties. Notably, this study failed to uncover a significant link between NMUPD and prosocial behavior. There are some possible explanations for the above situation. First, existing evidence suggests that oxytocin (OXT) plays a role in the neuroadaptive processes linked to addiction development [\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e]. Oxytocin, a polypeptide hormone, is produced in magnocellular neurons located within the supraoptic (SON) and paraventricular (PVN). It exhibits widespread distribution across brain circuits associated with process such as reward, learning, memory, stress, and addiction [\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e]. Second, Huang et al. found that dysregulation of oxytocin could manifest following repeated exposure to drug abuse. Patients with ketamine dependence (KD) demonstrated notably lower baseline levels of oxytocin compared to the control group [\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e]. Third, OXT has a central role in modulating prosocial behavior, including trusting behavior, generosity and cooperation and so on [\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e, \u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e]. Therefore, adolescents with substance abuse may have lower oxytocin levels, leading to a loss of prosocial behavior.\u003c/p\u003e \u003cp\u003eFurther analyses of the current study illustrated that among all the participants, social support was a mediator in the association of NMUPD with total difficulties and total indirect effect was between 14.8% and 27.5%. Although few studies have reported the role of social support in the association between NMUPD and EBPs, there were some possible explanations for the mediating effect. First, prevalent stigmatizing attitudes towards substance abuse exist in the general public [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. The public tends to distance themselves from individuals dealing with drug abuse issues in both professional and personal settings [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. However, social support has been linked to a reduction in internalized stigma among those undergoing drug abuse treatment, subsequently contributing to improved mental health and overall well-being [\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e]. Second, Hameed et al. (2018) found an adverse link between social support and EBPs among adolescents [\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e]. Agyemang et al. (2022) found youth with low social support had the highest prevalence of suicide attempt [\u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e]. Conversely, high social support contributed to increasing resilience and thus protecting adolescents from EBPs in Chinese adolescents [\u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e, \u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e]. Likewise, a study in China using strengths perspectives helped adolescents within high-risk families to rebuild the social support networks, thus facilitated the decrease of EBPs [\u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e57\u003c/span\u003e]. We can infer that adolescent with NMUPD have lower levels of social support, which leads to a higher risk of EBPs.\u003c/p\u003e \u003cp\u003eOverall, the mediating role of social support contributes to our current comprehension of the mechanism underlying the association between NMUPD and EBPs. Relevant government departments are highly recommended to enhance the supervision of prescription drugs, raise teenagers' awareness of the harm of drug abuse, and offer psychological assistance and social support to those exhibiting drug abuse behaviors, so as to reduce the occurrence of adolescent\u0026rsquo;s EBPs. Besides, the main monitoring system of drug abuse in China was still aimed at drug rehabilitation institutions, with insufficient monitoring among adolescents using medical drugs [\u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e]. What\u0026rsquo;s more, stigma and marginalization of drug abusers are still prevalent and there was insufficient support for drug abusers [\u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e59\u003c/span\u003e]. Therefore, there are some deficiencies in the drug abuse monitoring system. It is suggested that active monitoring could be carried out in medical institutions, schools and other places to strengthen its monitoring mode [\u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e]. An exemplary model for consideration is the Screening, Brief Intervention, and Referral to Treatment (SBIRT) demonstration program, which has shown effectiveness in reducing prescription drug misuse in several studies [\u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e60\u003c/span\u003e, \u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e61\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThis study has several outstanding strengths. Its school-based research design secured a high response rate and good participant cooperation, thereby elevating the overall data quality. The inclusion of a substantial sample size and one of few studies to explore the mediating effect of social support in the link between NMUPD and EBPs further strengthen the study. Regardless of these strengths, several limitations should be acknowledged. First, this study focused exclusively on participants in Guangdong province and students absent from school were excluded from this study, while students absent from school may have higher prevalence of NMUPD [\u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e62\u003c/span\u003e]. Second, a self-reported questionnaire was utilized to collect data, which was subject to recall bias and measurement errors. Third, the study's cross-sectional design limits our capacity to establish causal association between NMUPD and EBPs. Therefore, caution is advised when interpreting the mediating effects of social support in this association.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThis study indicated that adolescents with a history of NMUPD had lower levels of social support, more EBPs and fewer prosocial behaviors. Social support partly mediated the association between NMUPD and total difficulties. In view of the severity of EBPs triggered by NMUPD and the absence of a drug abuse monitoring system for the adolescents in China, it is necessary to establish a monitoring system for adolescents to reduce NMUPD. Furthermore, parents and teachers could closely monitor their children's prescription drug use and provide adequate support to help them out of drug dependence, so as to prevent the incidence of EBPs.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eNMUPD \u0026nbsp; \u0026nbsp; Non-medical use of prescription drugs\u003c/p\u003e\n\u003cp\u003eEBPs \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Emotional and behavioral Problems\u003c/p\u003e\n\u003cp\u003eSCAHS \u0026nbsp; \u0026nbsp; \u0026nbsp; School-based Chinese Adolescents Health Survey\u003c/p\u003e\n\u003cp\u003eAPDU \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Any prescription drug use\u003c/p\u003e\n\u003cp\u003eSDQ \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Strengths and Difficulties Questionnaire\u003c/p\u003e\n\u003cp\u003eHSS \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Household socioeconomic status\u003c/p\u003e\n\u003cp\u003eSD \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Standard deviation\u003c/p\u003e\n\u003cp\u003eSEM \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Structural equation modeling\u003c/p\u003e\n\u003cp\u003eML \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Maximum likelihood\u003c/p\u003e\n\u003cp\u003eCIs \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Confidence intervals\u003c/p\u003e\n\u003cp\u003eSBIRT \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Screening, Brief Intervention, and Referral to Treatment\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors would like to thank all the individuals who participated in the study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eYa Chen, Wanxin Wang: Writing- Original draft preparation, Methodology, Visualization. Ya Chen, Wenjian Lai, Yexiang Zhang, Guoliang Huang: Investigation, Data curation. Wanxin Wang, Lan Guo: Supervision, Writing- Reviewing and Editing. Ciyong Lu, Guoliang Huang: Supervision, Writing- Reviewing and Editing, Funding acquisition.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis work was supported by the funding from Guangdong ADR Monitoring Center: K2051000006.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe datasets generated and/or analyzed during the current study are not publicly available but are available from the corresponding author on reasonable request.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAll methods were carried out in accordance with relevant guidelines and regulations. Approval for the study was granted by the Institutional Review Board of the Sun Yat-Sen University School of Public Health. Informed consent was obtained from participants prior to the investigation. During the survey, all participants were informed that their privacy would be protected, and they could withdraw at any time if they felt uncomfortable.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eNot applicable.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe authors declare no competing interests.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eMartins SS, Ghandour LA. Nonmedical use of prescription drugs in adolescents and young adults: not just a Western phenomenon. 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Drug Alcohol Depend. 2018;189:172\u0026ndash;7.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Non-medical use of prescription drugs, Emotional and behavioral problems, Social support, Adolescents","lastPublishedDoi":"10.21203/rs.3.rs-3915886/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3915886/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eLess is known about the underlying role of social support in the association between non-medical use of prescription drugs (NUMPD) and emotional and behavioral Problems (EBPs). This study sought to explore association among NMUPD, social support and EBPs in Chinese youth.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eA multi-stage, stratified-cluster, random-sampling method was utilized to invite 23,364 adolescents aged 10\u0026ndash;21 years from Guangdong province to complete standard questionnaires. Data on EBPs and social support were collected using the Strengths and Difficulties Questionnaire (SDQ) and the Adolescent Social Support Scale.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eThe reported prevalence of sedative misuse, opioid misuse and any prescription drug use (APDU) was 1.3%, 0.4% and 1.5%, respectively. Multivariable linear regression models showed that non-medical use of opioid (adjusted \u003cem\u003eβ\u003c/em\u003e estimate\u0026thinsp;=\u0026thinsp;2.06, 95%CI\u0026thinsp;=\u0026thinsp;1.53\u0026ndash;2.60), sedative (adjusted \u003cem\u003eβ\u003c/em\u003e estimate\u0026thinsp;=\u0026thinsp;2.15, 95%CI\u0026thinsp;=\u0026thinsp;1.20\u0026ndash;3.09) and APDU (adjusted \u003cem\u003eβ\u003c/em\u003e estimate\u0026thinsp;=\u0026thinsp;1.89, 95%CI\u0026thinsp;=\u0026thinsp;1.40\u0026ndash;2.37) maintained a positive association with total difficulties. Mediation analyses showed that the standardized indirect effects of NMUPD on total difficulties mediated by social support had statistical significance (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001) and mediating effect was between 14.75% and 27.50%.\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e \u003cp\u003eSignificant associations exist between NMUPD and EBPs. Social support significantly mediated association between NMUPD and EBPs. Drug abuse monitoring system targeted at adolescents could be established and social support from parents, teachers and peers are highly recommended to facilitate the mental health of adolescents.\u003c/p\u003e","manuscriptTitle":"Association between Non-Medical Use of Prescription Drugs and Emotional and Behavioral Problems among Chinese Adolescents: The Mediating Effects of Social Support","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-02-07 09:50:52","doi":"10.21203/rs.3.rs-3915886/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"8bec3369-8cc1-40b8-88c6-349fc0caeac5","owner":[],"postedDate":"February 7th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-03-27T08:53:33+00:00","versionOfRecord":[],"versionCreatedAt":"2024-02-07 09:50:52","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-3915886","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3915886","identity":"rs-3915886","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}