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Predictive Utility of Irritability “In Context”: Proofof-Principle for an Early Childhood Mental Health Risk Calculator.

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Title: Predictive Utility of Irritability “In Context”: Proofof-Principle for an Early Childhood Mental Health Risk Calculator.
Authors: Wakschlag, Lauren S., MacNeill, Leigha A., Pool, Lindsay R., Smith, Justin D., Adam, Hubert, Barch, Deanna M., Norton, Elizabeth S., Rogers, Cynthia E., Ahuvia, Isaac, Smyser, Christopher D., Luby, Joan L., Allen, Norrina B.
Source: Journal of Clinical Child & Adolescent Psychology. Mar/Apr2024, Vol. 53 Issue 2, p231-245. 15p.
Subjects: Receiver operating characteristic curves, Adverse childhood experiences, Preteens, Mental health, Preschool children, Calculators
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. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Clinical Child & Adolescent Psychology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Predictive Utility of Irritability “In Context”: Proofof-Principle for an Early Childhood Mental Health Risk Calculator.
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  Data: <searchLink fieldCode="AR" term="%22Wakschlag%2C+Lauren+S%2E%22">Wakschlag, Lauren S.</searchLink><br /><searchLink fieldCode="AR" term="%22MacNeill%2C+Leigha+A%2E%22">MacNeill, Leigha A.</searchLink><br /><searchLink fieldCode="AR" term="%22Pool%2C+Lindsay+R%2E%22">Pool, Lindsay R.</searchLink><br /><searchLink fieldCode="AR" term="%22Smith%2C+Justin+D%2E%22">Smith, Justin D.</searchLink><br /><searchLink fieldCode="AR" term="%22Adam%2C+Hubert%22">Adam, Hubert</searchLink><br /><searchLink fieldCode="AR" term="%22Barch%2C+Deanna+M%2E%22">Barch, Deanna M.</searchLink><br /><searchLink fieldCode="AR" term="%22Norton%2C+Elizabeth+S%2E%22">Norton, Elizabeth S.</searchLink><br /><searchLink fieldCode="AR" term="%22Rogers%2C+Cynthia+E%2E%22">Rogers, Cynthia E.</searchLink><br /><searchLink fieldCode="AR" term="%22Ahuvia%2C+Isaac%22">Ahuvia, Isaac</searchLink><br /><searchLink fieldCode="AR" term="%22Smyser%2C+Christopher+D%2E%22">Smyser, Christopher D.</searchLink><br /><searchLink fieldCode="AR" term="%22Luby%2C+Joan+L%2E%22">Luby, Joan L.</searchLink><br /><searchLink fieldCode="AR" term="%22Allen%2C+Norrina+B%2E%22">Allen, Norrina B.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Clinical+Child+%26+Adolescent+Psychology%22">Journal of Clinical Child & Adolescent Psychology</searchLink>. Mar/Apr2024, Vol. 53 Issue 2, p231-245. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Receiver+operating+characteristic+curves%22">Receiver operating characteristic curves</searchLink><br /><searchLink fieldCode="DE" term="%22Adverse+childhood+experiences%22">Adverse childhood experiences</searchLink><br /><searchLink fieldCode="DE" term="%22Preteens%22">Preteens</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+health%22">Mental health</searchLink><br /><searchLink fieldCode="DE" term="%22Preschool+children%22">Preschool children</searchLink><br /><searchLink fieldCode="DE" term="%22Calculators%22">Calculators</searchLink>
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Clinical Child & Adolescent Psychology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/15374416.2023.2188553
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