ArticleBMC psychiatry2021
Network analysis of the relationship between negative life events and depressive symptoms in the left-behind children.
Article in BMC psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
17 citing papers in PubMed.
- Reliability and validity of a Chinese version of PERMA-Profiler for left-behind children in rural China.Psicologia, reflexao e critica : revista semestral do Departamento de Psicologia da UFRGS · 2026Article
- Divergent pathways to depression: a network analysis of adverse childhood experiences in migrant and non-migrant youth.Frontiers in psychiatry · 2026Article
- A transmission relationship investigation of HIV infection through male-to-male sex among a case of left-behind children with heterosexual orientation in Zhejiang Province of China.Frontiers in public health · 2026Article
- Stressful life events and non-suicidal self-injury among college students: chain mediating effect analysis of resilience and emotion dysregulation.BMC public health · 2025Article
- Exploring the role of repetitive negative thinking in the transdiagnostic context of depression and anxiety in children.BMC psychology · 2025Article
- The Relationship Between Childhood Abuse, Personality, and Depression: A Narrative Review.Alpha psychiatry · 2025Review
- Loneliness and depressive symptoms in institutionally isolated Polish adolescents explored through network psychometrics.Scientific reports · 2025Article
- The relationship between resilience and mental health: mobile phone dependence and its differences across levels of parent-child conflict among left-behind adolescents: a cross-sectional network analysis.BMC public health · 2025Article
- Associations Between Peer Relationships and Depressive Symptoms in Rural Children: Undirected and Bayesian Network Analyses.Child psychiatry and human development · 2025Article
- Network of job demands-resources and depressive symptoms in critical care nurses: a nationwide cross-sectional study.Critical care (London, England) · 2025Article
- A network analysis of subjective well-being in Chinese high school students.BMC public health · 2023Article
- Negative life events and aggression among Chinese rural left-behind adolescents: do self-esteem and resilience mediate the relationship?BMC psychiatry · 2023Article
- The Ripple Effect: Unveiling the Bidirectional Relationship Between Negative Life Events and Depressive Symptoms in Medical Cadets.Psychology research and behavior management · 2023Article
- The Association of Abuse and Depression With Suicidal Ideation in Chinese Adolescents: A Network Analysis.Frontiers in psychiatry · 2022Article
- Mediating roles of perceived social support and sense of security in the relationship between negative life events and life satisfaction among left-behind children: A cross-sectional study.Frontiers in psychology · 2022Article
- The relations between different components of intolerance of uncertainty and symptoms of depression during the COVID-19 pandemic: A network analysis.Frontiers in psychiatry · 2022Article
- Social Anxiety and Subjective Quality of Life Among Chinese Left-Behind Children: The Mediating Role of Social Support.Frontiers in psychology · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere are 68.77 million left-behind children in China, who are at a great risk of depression associated with negative life events. Our study aims to investigate the most central symptoms of depression in left-behind children and the relationship between depressive symptoms and negative life events using network analysis.
methodA cross-sectional data set (N = 7255) was used, which included children and adolescents aged 7 to 17. Network analysis was used to evaluate: 1) the most central symptoms among the items included in Child Depression Inventory (CDI) of the left-behind children; 2) bridge symptoms between depressive disorder and Adolescent Self-Rating Life Events Check List (ASLEC) of the left-behind children; 3) differences in networks of depressive disorders between left-behind and non-left-behind children, and 4) differences in the network of depression and negative life events between left-behind and non-left-behind children. The stability and centrality indices of the network were also evaluated in the study.
resultsThe most central symptoms in the CDI among the left-behind children included self-hatred, crying, fatigue, and sadness. The items with the highest bridge strength centrality in the CDI-ASLEC network included academic stress, discrimination, and school performance decrement. Higher bridge strength values indicate a greater risk of contagion to other communities. The connections in the CDI-ASLEC network are denser in the left-behind children than in non-left-behind children. LIMITATIONS: The study which was conducted based on cross-sectional data shows that network analysis can only make undirected estimation, but not causal inferences.
conclusionsWe identified the core symptoms of depression and the bridge symptoms between negative life events and depression in the left-behind children. These findings suggest that more attention should be paid to self-hatred, sadness, and fatigue in the treatment of depression in left-behind children. Intervention for academic stress and discrimination of the left-behind children may help to reduce the contagion of negative life events to depression symptoms.
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