APA
Click to copy
Wakschlag, L., MacNeill, L. A., Pool, L. R., Smith, J. D., Adam, H., Barch, D., … Allen, N. (2023). Predictive Utility of Irritability “In Context”: Proof-of-Principle for an Early Childhood Mental Health Risk Calculator. Journal of Clinical Child &Amp; Adolescent Psychology.
Chicago/Turabian
Click to copy
Wakschlag, L., Leigha A. MacNeill, Lindsay R. Pool, Justin D. Smith, H. Adam, D. Barch, E. Norton, et al. “Predictive Utility of Irritability ‘In Context’: Proof-of-Principle for an Early Childhood Mental Health Risk Calculator.” Journal of Clinical Child & Adolescent Psychology (2023).
MLA
Click to copy
Wakschlag, L., et al. “Predictive Utility of Irritability ‘In Context’: Proof-of-Principle for an Early Childhood Mental Health Risk Calculator.” Journal of Clinical Child &Amp; Adolescent Psychology, 2023.
BibTeX Click to copy
@article{l2023a,
title = {Predictive Utility of Irritability “In Context”: Proof-of-Principle for an Early Childhood Mental Health Risk Calculator},
year = {2023},
journal = {Journal of Clinical Child & Adolescent Psychology},
author = {Wakschlag, L. and MacNeill, Leigha A. and Pool, Lindsay R. and Smith, Justin D. and Adam, H. and Barch, D. and Norton, E. and Rogers, C. and Ahuvia, Isaac L. and Smyser, C. and Luby, J. and Allen, N.}
}
ABSTRACT Objective We provide proof-of-principle for a mental health risk calculator advancing clinical utility of the irritability construct for identification of young children at high risk for common, early onsetting syndromes. Method Data were harmonized from two longitudinal early childhood subsamples (total N = 403; 50.1% Male; 66.7% Nonwhite; Mage = 4.3 years). The independent subsamples were clinically enriched via disruptive behavior and violence (Subsample 1) and depression (Subsample 2). In longitudinal models, epidemiologic risk prediction methods for risk calculators were applied to test the utility of the transdiagnostic indicator, early childhood irritability, in the context of other developmental and social-ecological indicators to predict risk of internalizing/externalizing disorders at preadolescence (Mage = 9.9 years). Predictors were retained when they improved model discrimination (area under the receiver operating characteristic curve [AUC] and integrated discrimination index [IDI]) beyond the base demographic model. Results Compared to the base model, the addition of early childhood irritability and adverse childhood experiences significantly improved the AUC (0.765) and IDI slope (0.192). Overall, 23% of preschoolers went on to develop a preadolescent internalizing/externalizing disorder. For preschoolers with both elevated irritability and adverse childhood experiences, the likelihood of an internalizing/externalizing disorder was 39–66%. Conclusions Predictive analytic tools enable personalized prediction of psychopathological risk for irritable young children, holding transformative potential for clinical translation.
