Effectiveness Ofhealth Risk Behavioron Physical Activity And Mental Health In Chinese Adolescents: A Cross-sectional Study

Abstract

PURPOSE: Risky behaviors have significantly impacted on youth physical and psychological health among adolescents, which can result in a tremendous public health issue. The purpose of this study is to exam the association clustering of risk behaviors with physical activity and mental health and identify what extent the clustering of various risk behaviors is associated with psychological health and physical activity in Chinese adolescent. METHODS: Participants were randomly chosen from 30 high school of 10 regions that consisted of 4630 students, male 2199 (47.5%), female 2431(52.5%), aged 16-18 years, male 16.2±1.03, femal16.3±1.56. A structured questionnaire was developed to be based on 2017 State and Local Youth Risk Behavior Survey, which was revised, modified, translated into Chinese. Reliability of questionnaire was analyzed by Cronbach’s alpha (α=0.72). Construct validity was evaluated by factor analysis after the Kaiser-Meyer-Olkin (KMO=0.81) and Bartlett test (χ2 =2.2, p =0.00) had been performed. Symptom Checklist 90 (SCL-90) was used to investigate the mental health status for Chinese adolescent. RESULTS: Two-step cluster analysis (TCA) identified four clusters in risk behaviors that details are presented. Logistic regression demonstrated the relationship between risk behaviors and mental health based on the different clustering. In somatization, compared with cluster1 in factor1, the odds ratios (ORs) and 95% confidence intervals (CIs) were 0.97(0.83-1.13), 1.01(0.91-1.11) and 0.99(0.85-1.16) for cluster 2, cluster 3, cluster 4, respectively. In the hostility, compared with cluster 3 in factor 5, the odds ratios (ORs) and 95% confidence intervals (CIs) were1.16(1.00-1.33), 1.12(0.98-1.29), 1.06(0.90-1.24) for clusters 1, 2 and 4. The result found that physical activity affects significantly sedentary behavior and screen time and bully behavior. CONCLUSION: This study found that the specific cluster behaviors influence significantly on mental health and physical activity among Chinese adolescents. This study suggest that more effective and feasible clustering-based intervention programs may be designed to prevent adolescent risk behaviors and mental health.