ArticleJCPP advances2023
Toward an optimized assessment of adolescent psychopathology risk: Multilevel environmental profiles and child irritability as predictors.
Article in JCPP advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Multisystem Environmental Factors Elucidate Shared and Distinct Associations With Brain and Behavior in Adolescents.Journal of the American Academy of Child and Adolescent Psychiatry · 2026Article
- The Application of Bronfenbrenner's Bio-ecological Model in Children and Young People's Mental Health Research: A Rapid Review.Child psychiatry and human development · 2026Article
- Toward an optimized assessment of adolescent psychopathology risk: Multilevel environmental profiles and child irritability as predictors.JCPP advances · 2023Article
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Authors and funding
8 authors.
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Abstract
Background: Adolescence is a developmental period during which youth experience vulnerability to psychopathology. To build the foundation for a parsimonious psychopathology risk calculator while capturing the complexity and dynamic nature of the environment, the current study aimed to identify distinct risk and resilience profiles with a wide range of environmental factors guided by Bronfenbrenner's biopsychosocial ecological system theory. The association between the early-mid childhood risk profiles and psychopathology in adolescence were examined. Moreover, the predictive utility of early childhood irritability was evaluated in addition to the risk profiles. Methods: The data from Future of Families and Child Wellbeing Study a nation-wide longitudinal study, were used in the latent profile analyses to identify the risk profiles with family, school, and neighborhood characteristics from 3 to 9 years old. To capture the socio-environmental and cultural nuances, we extracted three subsamples, including Black/African American ( Results: Three risk profiles were identified in the Hispanic/Latinx and Black/African American subsamples, while four profiles were identified in White subsample. Almost all risk profile membership predicted both internalizing and externalizing psychopathology, while some profiles are predictive of externalizing symptoms only. Higher level of irritability predicted higher symptomatology in all five mental health outcomes above and beyond the environmental profiles. Conclusions: Distinct risk and resilience profiles primarily driven by parent and family characteristics were identified for all three major race/ethnicity groups. Our findings lay the foundation for a more efficient multi-tiered information gathering process in mental health clinical settings to aid the decision making for intervention and prevention.
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