ArticlePsychiatry investigation2021
Patterns of Depression and Resilience in Children and Adolescents Exposed to an Earthquake: A Latent Profile Analysis.
Article in Psychiatry investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- The impact of earthquake preparedness training on mothers with physically disabled children: a randomized controlled study.Scientific reports · 2025Trial
- Latent profile analysis of resilience among people with serious mental illness.Psychology and psychotherapy · 2026Article
- Dual psychological pathways after earthquake trauma: posttraumatic growth and PTSD predict Health-Related quality of life in youth.BMC psychology · 2025Article
- Biological rhythm patterns and internalising disorders among children and adolescents: a cross-sectional study.BMJ open · 2025Article
- After the 2023 Earthquake in Turkiye: An Assessment of Post-Earthquake Psychological Resilience in Children and Adolescents - A Systematic Review.Journal of clinical practice and research · 2023Review
- Mental Health Disturbance after a Major Earthquake in Northern Peru: A Preliminary, Cross-Sectional Study.International journal of environmental research and public health · 2022Article
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Authors and funding
4 authors.
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Abstract
objectiveDepression and resilience are different psychological outcomes caused by experiencing traumatic events. We aimed to 1) explore heterogeneity patterns of co-occurrence between depression symptoms and resilience among children and adolescents exposed to an earthquake and 2) assess covariates (trauma exposure, sex, age, ethnicity, and sleep quality) in identifying the best fitting solution.
methodsLatent profile analysis (LPA) was used to examine patterns of self-reported depression and resilience in an epidemiological sample of 2,887 Chinese youth survivors 1 year after the Lushan earthquake.
resultsA suitable 3-class model were identified, which are mild depression/high resilience (65.0%), severe depression/high resilience (22.1%), and severe depression/low resilience (12.9%). Trauma exposure, demographic characteristics and sleep state can be used to identify the different latent classes.
conclusionOur results contribute to understanding the heterogeneous coexisting patterns of depression and resilience and provide suggestions for identifying high-risk youth survivors and offering effective interventions.
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