ArticleBrain and behavior2026
Identifying Adolescent Mental Health and Behavioral Risk Profiles: The Role of Childhood Adversities, Family Environment, and Peer Support.
Article in Brain and behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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- Latent class/profile analysis in research on school bullying behavior patterns: a systematic review.Frontiers in public health · 2026Pooled it
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Abstract
backgroundAdolescents in low- and middle-income countries (LMICs) experience a disproportionately high burden of emotional and behavioral problems (EBPs), shaped by early adversities, limited psychosocial support, and structural disadvantages. In Bangladesh, mental health concerns among adolescents remain under-recognized, with limited data on how mental health symptoms cluster and which subgroups are at elevated risk. Identifying distinct risk profiles is essential for informing targeted interventions.
methodsUsing data from a cross-sectional school-based survey (N = 1040), we applied latent class analysis (LCA) to identify mental health risk profiles based on emotional symptoms, conduct problems, insomnia, suicidal behavior, truancy, physical fights, bullying, and peer/social isolation. Multinomial logistic regression models were used to examine associations between latent class membership and adverse childhood experiences (ACEs), family/peer relational factors, and sociodemographic characteristics.
resultsThree distinct mental health and behavioral risk classes were identified: low risk (36.3%), moderate risk (36.1%), and high risk (27.6%). The high-risk class showed elevated internalizing symptoms, externalizing behaviors, and psychosocial adversities, including conduct problems, loneliness, truancy, bullying, and physical fighting. In the fully adjusted model, sexual abuse (aOR = 2.64) and witnessing violence aganist the mother (aOR = 3.56) were the strongest predictors of high-risk membership. Lack of peer support was significantly associated with both moderate-risk (aOR = 2.13) and high-risk (aOR = 2.25) membership, whereas poor parental understanding increased the odds of moderate-risk classification (aOR = 1.70). In the interaction model, females exposed to household mental illness had disproportionately higher odds of belonging to the high-risk class.
conclusionAdolescent mental health in Bangladesh is shaped by a complex interplay of trauma, family functioning, and gender. Trauma-informed, gender-sensitive interventions are urgently needed to address these disparities.
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