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    Heightened irritability in adolescence is an impairing symptom that can lead to negative outcomes in adulthood, but effective screening tools are lacking. This study aimed to derive clinically-optimized cutoff scores using the Multidimensional Assessment Profile Scales-Temper Loss (MAPS-TL) to pragmatically identify adolescents with impairing irritability. A diverse sample of 79 adolescents and their parents completed the MAPS-TL-Adolescent version. Stepwise logistic regression analyses were used to determine the items associated with impairment, and receiver operator characteristic (ROC) analyses were conducted to derive optimal cutoff scores. Three parent-report items (become frustrated easily, angry/irritable/grouchy throughout the day, difficulty calming down when angry) and two youth-report items (hit/shove/kick when lost temper, difficulty calming down when angry) were strongly associated with impairment. Optimal cutoff scores garnered very good sensitivity (91%, 73%) and specificity (77%, 75%) for the parent- and youth-report versions respectively. Scores above these cutoffs were associated with increased internalizing and externalizing problems and lower overall quality of life. The MAPS-TL clinically optimized irritability scores show preliminary validity for implementation in practical settings to efficiently identify adolescents who need additional evaluation and/or intervention. Further research is important to validate these cutoff scores with larger population-based samples and real-world settings. © 2023 The Authors. International Journal of Methods in Psychiatric Research published by John Wiley & Sons Ltd.

    Citation

    Nathan Kirk, Emily Hirsch, Tasmia Alam, Lauren S Wakschlag, Jillian Lee Wiggins, Amy K Roy. A pragmatic, clinically optimized approach to characterizing adolescent irritability: Validation of parent- and adolescent reports on the Multidimensional Assessment Profile Scales-Temper Loss Scale. International journal of methods in psychiatric research. 2023 Sep 13:e1986


    PMID: 37702276

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