Modeling the normal:abnormal spectrum of early childhood internalizing behaviors: A clinical-developmental approach for the Multidimensional Assessment Profiles Internalizing Dimensions.
Int J Methods Psychiatr Res
; 32(S1): e1987, 2023 Nov.
Article
en En
| MEDLINE
| ID: mdl-37814600
ABSTRACT
BACKGROUND:
We expanded the Multidimensional Assessment Profiles (MAPS) Scales developmental specification model to characterize the normalabnormal spectrum of internalizing (anxious and depressive) behaviors in early childhood via the MAPS-Internalizing (MAPS-INT) scale.METHODS:
The MAPS-INT item pool was generated based on clinical expertise and prior research. Analyses were conducted on a sub-sample of families (n = 183) from the diverse When to Worry early childhood sample.RESULTS:
Normalabnormal descriptive patterns for both anxious and depressive behaviors were consistent with prior work (1) extremes of normative variation are abnormal when very frequent; and (2) pathognomonic indicators that most children do not engage in and are abnormal, even if infrequent. Factor analysis revealed a two-factor MAPS-INT Anxious Behaviors structure (Fearful-Worried and Separation Distress) and a unidimensional MAPS-INT Depressive Behaviors factor with good fit and good-to-excellent test-retest reliability and validity.CONCLUSIONS:
We characterized the normalabnormal spectrum of internalizing behaviors in early childhood via the MAPS-INT. Future research in larger representative samples can replicate and extend findings, including clinical thresholds and predictive utility. The MAPS-INT helps lay the groundwork for dimensional characterization of the internalizing spectrum to advance neurodevelopmental approaches to emergent psychopathology and its earlier identification.Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Ansiedad
Tipo de estudio:
Prognostic_studies
Límite:
Child
/
Child, preschool
/
Humans
Idioma:
En
Revista:
Int J Methods Psychiatr Res
Asunto de la revista:
PSIQUIATRIA
Año:
2023
Tipo del documento:
Article
País de afiliación:
Estados Unidos