{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T18:09:54Z","timestamp":1790186994371,"version":"4.1.0"},"reference-count":45,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T00:00:00Z","timestamp":1780876800000},"content-version":"vor","delay-in-days":7,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Brain and Behavior"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Adolescents in low\u2010 and middle\u2010income 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\u2010recognized, 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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Using data from a cross\u2010sectional school\u2010based survey (\n                      <jats:italic>N<\/jats:italic>\n                      \u00a0=\u00a01040), 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.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Three distinct mental health and behavioral risk classes were identified: low risk (36.3%), moderate risk (36.1%), and high risk (27.6%). The high\u2010risk 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\u00a0=\u00a02.64) and witnessing violence aganist the mother (aOR\u00a0=\u00a03.56) were the strongest predictors of high\u2010risk membership. Lack of peer support was significantly associated with both moderate\u2010risk (aOR\u00a0=\u00a02.13) and high\u2010risk (aOR\u00a0=\u00a02.25) membership, whereas poor parental understanding increased the odds of moderate\u2010risk classification (aOR\u00a0=\u00a01.70). In the interaction model, females exposed to household mental illness had disproportionately higher odds of belonging to the high\u2010risk class.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Adolescent mental health in Bangladesh is shaped by a complex interplay of trauma, family functioning, and gender. Trauma\u2010informed, gender\u2010sensitive interventions are urgently needed to address these disparities.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/brb3.71531","type":"journal-article","created":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T04:40:27Z","timestamp":1780980027000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Identifying Adolescent Mental Health and Behavioral Risk Profiles: The Role of Childhood Adversities, Family Environment, and Peer Support"],"prefix":"10.1002","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4611-9624","authenticated-orcid":false,"given":"Firoj","family":"Al\u2010Mamun","sequence":"first","affiliation":[{"name":"CHINTA Research Bangladesh, Savar  Dhaka Bangladesh"},{"name":"Department of Public Health University of South Asia  Dhaka 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