Adolescent Suicide Risk in China: A Multilevel Meta-Analysis and Multilayer Network Perspective.

Adolescent suicide is a major public health concern. Prior research has often examined risk factors within single systems, limiting understanding of how influences intersect across contexts. This study addressed this gap through a multilevel meta-analysis and multilayer network analysis of suicide-r...

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Publicado en:Journal of Youth & Adolescence Vol. 55; no. 1; pp. 68 - 106
Autor principal: Ye, Tong
Formato: Artículo
Publicado: Springer Nature Jan2026
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
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        10.1007/s10964-025-02273-x
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        atl: Adolescent Suicide Risk in China: A Multilevel Meta-Analysis and Multilayer Network Perspective.
      aug:
        au: Ye, Tong
        affil:
          https://ror.org/01kq0pv72 School of Education, South China Normal University, 510631, Guangzhou, Guangdong, China
          https://ror.org/03q3s7962 Student Counseling and Mental Health Center, Huizhou University, 516007, Huizhou, Guangdong, China
      su:
        China
        Suicide risk factors
        Emotions
        Suicide
        Despair
        Psychological stress
        Public health
        Adverse childhood experiences
        Cognition
        Adolescence
        Risk assessment
        Pearson correlation (Statistics)
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        Fisher exact test
        Meta-analysis
        Systematic reviews
        Odds ratio
        Confidence intervals
        Data analysis software
      sug:
        subj:
          Suicide risk factors
          Emotions
          Suicide
          Despair
          Psychological stress
          Public health
          Adverse childhood experiences
          Cognition
          Adolescence
          China
          Health and Welfare Funds
          Risk assessment
          Pearson correlation (Statistics)
          Research funding
          Fisher exact test
          Meta-analysis
          Systematic reviews
          Odds ratio
          Confidence intervals
          Data analysis software
      keyword:
        Adolescent suicide
        Multilayer network analysis
        Multilevel meta-analysis
        Neo-ecological systems theory
        Psychology and Cognitive Sciences Psychology Medical and Health Sciences Public Health and Health Services
        Adolescent suicide
        Multilayer network analysis
        Multilevel meta-analysis
        Neo-ecological systems theory
        Psychology and Cognitive Sciences Psychology Medical and Health Sciences Public Health and Health Services
      ab: Adolescent suicide is a major public health concern. Prior research has often examined risk factors within single systems, limiting understanding of how influences intersect across contexts. This study addressed this gap through a multilevel meta-analysis and multilayer network analysis of suicide-related risk factors among Chinese adolescents. A total of 134 studies with 355 effect sizes (N = 602,301) were synthesized, covering students in primary, junior high, senior high, and vocational schools, approximately 7–18 years of age. The meta-analysis indicated that negative cognitive-emotional states, such as hopelessness, were the strongest correlates of suicide. Childhood trauma and school ostracism also showed relatively strong associations. Stressful life events showed effects comparable to individual vulnerabilities, while risks in the virtual system were smaller but remained evident. Network analysis suggested that emotional states and cognitive processes acted as central bridges, linking factors into six communities of risk: Academic Frustration, Social Alienation, Identity Alienation, Affective Distress, Stress Reactivity, and Maladaptive Cognition. By combining multilevel meta-analysis with multilayer network modeling, this study tentatively explored how risk factors identified in existing research may configure across systems, providing an ecological view of adolescent suicide in China.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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