Xinfeng Tang1, Suqin Tang2, Zhihong Ren3, Daniel Fu Keung Wong4. 1. The Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong. 2. Shenzhen University, Shenzhen, China. 3. School of Psychology, Central China Normal University, Wuhan, China; Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, China; Key Laboratory of Human Development and Mental Health of Hubei Province, Wuhan, China. 4. The Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong. Electronic address: dfkwong@hku.hk.
Abstract
BACKGROUND: The objective of the study is to systematically estimate the effect size of psychosocial risk factors for depressive symptoms among adolescents in secondary schools in mainland China. METHOD: A literature search was conducted in both English and Chinese databases. This meta-analysis used a random-effects model to estimate the effect size. RESULTS: Fifteen psychosocial risk factors were identified in a total of 164 articles. The results revealed the absolute value of effect size ranging from 0.16 to 0.43. Among them, poor parent-child communication (r = 0.43), negative life events (r = 0.40), academic pressure (r = 0.40), abuse (r = 0.33), poor family functioning (r = 0.33), bullying (r = 0.32), and poor family cohesion (r = 0.32) were associated with depression with a medium to large effect. Moderator analysis shows that grade, study quality, mean age, and gender were significant moderators of at least one factor for depression. LIMITATIONS: Limitations included the heterogeneity which is largely unexplained, and the inability to investigate the interactions of different factors and to determine the direction of causal relationships between psychosocial factors and depression in the present meta-analysis. CONCLUSIONS: This study suggests that family-related factors and school-related factors may be significantly associated with depressive symptoms in Chinese secondary school students. Further research is needed to develop effective strategies to modify these factors in depression prevention programmes.
BACKGROUND: The objective of the study is to systematically estimate the effect size of psychosocial risk factors for depressive symptoms among adolescents in secondary schools in mainland China. METHOD: A literature search was conducted in both English and Chinese databases. This meta-analysis used a random-effects model to estimate the effect size. RESULTS: Fifteen psychosocial risk factors were identified in a total of 164 articles. The results revealed the absolute value of effect size ranging from 0.16 to 0.43. Among them, poor parent-child communication (r = 0.43), negative life events (r = 0.40), academic pressure (r = 0.40), abuse (r = 0.33), poor family functioning (r = 0.33), bullying (r = 0.32), and poor family cohesion (r = 0.32) were associated with depression with a medium to large effect. Moderator analysis shows that grade, study quality, mean age, and gender were significant moderators of at least one factor for depression. LIMITATIONS: Limitations included the heterogeneity which is largely unexplained, and the inability to investigate the interactions of different factors and to determine the direction of causal relationships between psychosocial factors and depression in the present meta-analysis. CONCLUSIONS: This study suggests that family-related factors and school-related factors may be significantly associated with depressive symptoms in Chinese secondary school students. Further research is needed to develop effective strategies to modify these factors in depression prevention programmes.