Comparing Transdiagnostic Risk Factors: Predicting Emergence of Significant Depressive, Anxiety, and Substance Abuse Symptoms Among Juvenile Delinquents.
In a 7-year 11-wave study of low-SES adolescents (N = 856, age = 15.98), we compared multiple well-established transdiagnostic risk factors as predictors of first incidence of significant depressive, anxiety, and substance abuse symptoms across the transition from adolescence to adulthood. Risk fact...
| Publicado en: | Child Psychiatry & Human Development Vol. 57; no. 2; pp. 353 - 368 |
|---|---|
| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Apr2026
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=193366272&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 193366272 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0009398X CPH jtl: Child Psychiatry & Human Development issn: 0009398X maglogo: N pubinfo: dt: Apr2026 vid: 57 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 193366272 10.1007/s10578-024-01682-6 ppf: 353 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.1MB tig: atl: Comparing Transdiagnostic Risk Factors: Predicting Emergence of Significant Depressive, Anxiety, and Substance Abuse Symptoms Among Juvenile Delinquents. aug: au: Klein, Robert J. Lekkas, Damien Nguyen, Nhi D. Jacobson, Nicholas C. affil: https://ror.org/049s0rh22 Center for Technology and Behavioral Health, Dartmouth College, Hanover, USA The Well Living Lab, Rochester, USA Delos Living, LLC, New York, USA https://ror.org/049s0rh22 The Geisel School of Medicine, Dartmouth College, 1 Rope Ferry Road, 03755, Hanover, NH, USA https://ror.org/049s0rh22 Quantitative Biomedical Sciences Program, Dartmouth College, Hanover, USA https://ror.org/049s0rh22 Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Hanover, USA https://ror.org/049s0rh22 Department of Psychiatry, Geisel School of Medicine, Dartmouth College, Hanover, USA su: Juvenile offenders Substance abuse Anxiety Mental depression Disease risk factors Emotion regulation Machine learning Psychological resilience sug: subj: Juvenile offenders Substance abuse Anxiety Mental depression Disease risk factors Emotion regulation Machine learning Psychological resilience keyword: Depression First incidence Medical and Health Sciences Public Health and Health Services Psychology and Cognitive Sciences Psychology Negative emotionality Risk factor Transdiagnostic Depression First incidence Medical and Health Sciences Public Health and Health Services Psychology and Cognitive Sciences Psychology Negative emotionality Risk factor Transdiagnostic ab: In a 7-year 11-wave study of low-SES adolescents (N = 856, age = 15.98), we compared multiple well-established transdiagnostic risk factors as predictors of first incidence of significant depressive, anxiety, and substance abuse symptoms across the transition from adolescence to adulthood. Risk factors included negative emotionality, emotion regulation ability, social support, gender, history of trauma, parental histories of substance abuse, parental mental health, and socioeconomic status. Machine learning models revealed that negative emotionality was the most important predictor of both depression and anxiety, and emotion regulation ability was the most important predictor of future significant substance abuse. These findings highlight the critical role that dysregulated emotion may play in the development of some of the most prevalent forms of mental illness. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|