Abstract
IMPORTANCE: Although rapid urbanization in China provided improved economic prosperity and educational opportunities, it was associated with increased internalizing and externalizing problems among youths, with negative outcomes for mental well-being. Previous studies suggested that factors in individual, school, and regional levels were associated with mental well-being, and comprehensively examining these factors may provide evidence for policies for improving youth mental health. OBJECTIVE: To investigate factors associated with mental well-being at individual, school, and province levels among Chinese youths. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study analyzed nationally representative data collected December 1, 2021, to January 1, 2022, from schools in China. Among 435 schools, 144 institutions had primary school students, 107 institutions had middle school students, 95 institutions had primary and middle school students, and 89 institutions had high school students. A total of 398 520 students were included. EXPOSURES: Characteristics at individual, school, and province levels. MAIN OUTCOMES AND MEASURES: The main outcome was mental well-being, assessed by the Short Warwick-Edinburgh Mental Well-being Scale. Linear mixed-effects models were used to investigate individual, school, and regional disparities in mental well-being among youths. RESULTS: There were 398 520 participants (194 460 females [48.80%]; mean [SD; range] age, 13.78 [2.40; 9-20] years). At the school level, 352 443 students (88.44%) were in public school and 291 354 students (73.11%) were in urban schools. Drinking (coefficient = -1.08; 95% CI, -1.12 to -1.05; P < .001), smoking (coefficient = -0.89; 95% CI, -0.96 to -0.83; P < .001), and increased age (coefficient per 1-year increase in age = -0.02; 95% CI, -0.03 to -0.01; P < .001) were associated with worse mental well-being. Male sex (coefficient = 1.01; 95% CI, 0.98 to 1.04; P < .001), being in a 1-child family (coefficient = 0.17; 95% CI, 0.13 to 0.20; P < .001), being in the Han group (coefficient vs other ethnic groups = 0.20; 95% CI, 0.14 to 0.26; P < .001), a higher frequency and coverage of psychological courses (eg, ≥2/wk for all students vs none: coefficient = 1.02; 95% CI, 0.36 to 1.69; P = .003), and a higher level of self-rated popularity in school (coefficient per 1-unit increase in score = 0.89; 95% CI, 0.88 to 0.89; P < .001) were associated with improved mental well-being. However, age (eg, age and 1 courses/2 wk for all students: coefficient per 1-year increase in age = -0.047; 95% CI, -0.089 to -0.005; P = .03) and sex (eg, female sex and ≥2 courses/wk for some students: coefficient = -0.184; 95% CI, -0.323 to -0.046; P = .009) had interactions with the association between psychological courses and mental well-being. CONCLUSIONS AND RELEVANCE: This study found that social disparities in mental well-being existed and that various factors at different levels were associated with mental well-being among Chinese youths. These findings suggest that public mental health programs may be recommended for associated improvements in regional disparities in mental health resources.