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Toward an optimized assessment of adolescent psychopathology risk: Multilevel environmental profiles and child irritability as predictors

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 disti...

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Autores principales: Yu, Qiongru, Hernandez, Brianna, Swineford, Conner, Walker, Nia, MacNeill, Leigha, Zhang, Yudong, Wakschlag, Lauren S., Wiggins, Jillian L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694535/
http://dx.doi.org/10.1002/jcv2.12180
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author Yu, Qiongru
Hernandez, Brianna
Swineford, Conner
Walker, Nia
MacNeill, Leigha
Zhang, Yudong
Wakschlag, Lauren S.
Wiggins, Jillian L.
author_facet Yu, Qiongru
Hernandez, Brianna
Swineford, Conner
Walker, Nia
MacNeill, Leigha
Zhang, Yudong
Wakschlag, Lauren S.
Wiggins, Jillian L.
author_sort Yu, Qiongru
collection PubMed
description 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 (n = 2587), Hispanic/Latinx (n = 1577), and White (n = 776) for separate analyses. Risk profile memberships were used to predict adolescence psychopathology, including depression, anxiety, attention deficits, oppositional defiant disorder, and conduct disorder symptoms. The predictive utility of early childhood irritability above and beyond environmental risk profiles was evaluated using stepwise regression. 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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spelling pubmed-106945352023-12-05 Toward an optimized assessment of adolescent psychopathology risk: Multilevel environmental profiles and child irritability as predictors Yu, Qiongru Hernandez, Brianna Swineford, Conner Walker, Nia MacNeill, Leigha Zhang, Yudong Wakschlag, Lauren S. Wiggins, Jillian L. JCPP Adv Original Articles 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 (n = 2587), Hispanic/Latinx (n = 1577), and White (n = 776) for separate analyses. Risk profile memberships were used to predict adolescence psychopathology, including depression, anxiety, attention deficits, oppositional defiant disorder, and conduct disorder symptoms. The predictive utility of early childhood irritability above and beyond environmental risk profiles was evaluated using stepwise regression. 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. John Wiley and Sons Inc. 2023-06-13 /pmc/articles/PMC10694535/ http://dx.doi.org/10.1002/jcv2.12180 Text en © 2023 The Authors. JCPP Advances published by John Wiley & Sons Ltd on behalf of Association for Child and Adolescent Mental Health. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Yu, Qiongru
Hernandez, Brianna
Swineford, Conner
Walker, Nia
MacNeill, Leigha
Zhang, Yudong
Wakschlag, Lauren S.
Wiggins, Jillian L.
Toward an optimized assessment of adolescent psychopathology risk: Multilevel environmental profiles and child irritability as predictors
title Toward an optimized assessment of adolescent psychopathology risk: Multilevel environmental profiles and child irritability as predictors
title_full Toward an optimized assessment of adolescent psychopathology risk: Multilevel environmental profiles and child irritability as predictors
title_fullStr Toward an optimized assessment of adolescent psychopathology risk: Multilevel environmental profiles and child irritability as predictors
title_full_unstemmed Toward an optimized assessment of adolescent psychopathology risk: Multilevel environmental profiles and child irritability as predictors
title_short Toward an optimized assessment of adolescent psychopathology risk: Multilevel environmental profiles and child irritability as predictors
title_sort toward an optimized assessment of adolescent psychopathology risk: multilevel environmental profiles and child irritability as predictors
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694535/
http://dx.doi.org/10.1002/jcv2.12180
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