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Calibrating temper loss severity in the transition to toddlerhood: Implications for developmental science.
Krogh-Jespersen, Sheila; Kaat, Aaron J; Petitclerc, Amelie; Perlman, Susan B; Briggs-Gowan, Margaret J; Burns, James L; Adam, Hubert; Nili, Amanda; Gray, Larry; Wakschlag, Lauren S.
Afiliação
  • Krogh-Jespersen S; Northwestern University.
  • Kaat AJ; Northwestern University.
  • Petitclerc A; Universite Laval.
  • Perlman SB; Washington University School of Medicine.
  • Briggs-Gowan MJ; University of Connecticut Health Center.
  • Burns JL; Northwestern University.
  • Adam H; Northwestern University.
  • Nili A; Northwestern University.
  • Gray L; Northwestern University.
  • Wakschlag LS; Ann and Robert H. Lurie Children's Hospital of Chicago.
Appl Dev Sci ; 26(4): 785-798, 2022.
Article em En | MEDLINE | ID: mdl-36387581
ABSTRACT
The integration of neurodevelopmental perspectives into clinical science has identified irritability as an early dimensional marker of lifespan mental health risk. Elucidating the developmental patterning of irritable behavior is key to differentiating normative variation from risk markers. Accounting for dysregulation and contextual features of irritability is useful for differentiation at preschool age, laying the groundwork for even earlier characterization. We provide initial evidence for the validity of the Multidimensional Assessment Profile of Disruptive Behavior Temper Loss Scale, Infant-Toddler version in two independent samples of 12-18-month-olds from the US. We calibrated the measure using item response theory in a large representative sample, then validated within an independent sample. We characterized the developmental patterning of irritable behaviors and their dimensional spectrum, and demonstrated test-retest reliability, and convergent validity. The MAP-DB-IT is a standardized, dimensional survey assessing irritability that serves as a tool for characterizing the developmental expression of early mental health risk.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Appl Dev Sci Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Appl Dev Sci Ano de publicação: 2022 Tipo de documento: Article