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What can we learn about polytrauma typologies by comparing population-representative to trauma-exposed samples: a Nepali example

dc.creatorHermosilla, Sabrinaes_ES
dc.creatorChoi, Karmel W.es_ES
dc.creatorAskari, Melanie S.es_ES
dc.creatorMarks, Taylores_ES
dc.creatorDenckla, Christyes_ES
dc.creatorAxinn, Williames_ES
dc.creatorSmoller, Jordan W.es_ES
dc.creatorGhimire, Dirghaes_ES
dc.creatorBenjet, Corinaes_ES
dc.date2022
dc.date.accessioned2024-09-30T18:15:01Z
dc.date.available2024-09-30T18:15:01Z
dc.date.issued2022
dc.identifierJC29DIEP22es_ES
dc.identifier.issn0165-0327
dc.identifier.urihttp://repositorio.inprf.gob.mx/handle/123456789/8063
dc.identifier.urihttps://doi.org/10.1016/j.jad.2022.07.006
dc.identifier.urihttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869468/
dc.descriptionBackground: Potentially traumatic events (PTEs) are common and associated with detrimental outcomes over the life-course. Previous studies exploring the causes and consequences of PTE-exposure profiles are often from high-income settings and fail to explore the implications of sample selection (i.e., population-representative versus PTE-restricted). Methods: Among individuals in the Nepal Chitwan Valley Family Study, latent class analyses (LCA) were performed on 11 self-reported PTEs collected by the Nepali version of the World Mental Health Consortium's Composite International Diagnostic Interview 3.0 from 2016 to 2018, in a population-representative sample (N = 10,714), including a PTE-restricted subsample (N = 9183). Multinomial logistic regressions explored relationships between sociodemographic factors and class membership. Logistic regressions assessed relationships between class membership and psychiatric outcomes. Results: On average, individuals were exposed to 2 PTEs in their lifetime. A five-class solution showed optimal fit for both samples; however, specific classes were distinct. No single sociodemographic factor was universally associated with PTE class membership in the population-representative sample; while several factors (e.g., age, age at incident PTE, education, marital status, and migration) were consistently associated with class membership in the PTE-subsample. PTE class membership differentiated psychiatric outcomes in the population-representative sample more than the PTE-subsample. Limitations: Primary limitations are related to the generalizability to high-income settings, debate on LCA model fit statistic usage for final class selection, and cross-sectional nature of data collection. Conclusions: Although population-representative samples provide information applicable to large-scale, population-based programming and policy, PTE-subsample analyses may provide additional nuance in PTE profiles and their consequences, important for specialized prevention efforts.es_ES
dc.formatPDFes_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation314:201-210
dc.rightsAcceso Abiertoes_ES
dc.titleWhat can we learn about polytrauma typologies by comparing population-representative to trauma-exposed samples: a Nepali examplees_ES
dc.typeArtículoes_ES
dc.contributor.affiliationPopulation Studies Center, Institute for Social Research, University of Michigan, Ann Arbor, USA
dc.contributor.emailshermosi@umich.edu (S. Hermosilla)
dc.relation.jnabreviadoJ AFFECT DISORD
dc.relation.journalJournal of Affective Disorders
dc.date.published2022
dc.identifier.organizacionInstituto Nacional de Psiquiatría Ramón de la Fuente Muñiz
dc.identifier.eissn1573-2517
dc.identifier.doi10.1016/j.jad.2022.07.006
dc.subject.kwTrauma
dc.subject.kwGlobal mental health
dc.subject.kwLatent class analysis


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