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Research on Child and Adolescent Psychopathology

Gepubliceerd in:

30-06-2018

Offspring Personality Mediates the Association between Maternal Depression and Childhood Psychopathology

Auteurs: Timothy A. Allen, Assaf Oshri, Fred A. Rogosch, Sheree L. Toth, Dante Cicchetti

Gepubliceerd in: Research on Child and Adolescent Psychopathology | Uitgave 2/2019

Abstract

Offspring of mothers diagnosed with major depression are at increased risk for a wide range of psychological problems. Previous research has shown that individual differences in personality development can be informative for predicting risk and resilience to psychopathology, especially within at-risk populations. In the present study, we examined whether individual differences in offspring personality development during early to middle childhood could account for the association between maternal depression and offspring behavior problems later in childhood. Participants included 64 offspring of mothers diagnosed with major depression and 68 offspring of healthy comparison mothers. Personality was assessed via parent report at ages 3, 4, 5, and 9. Offspring internalizing and externalizing symptoms were assessed at age 9 via parent and teacher report. Results of latent growth curve models indicated that offspring Neuroticism, Conscientiousness, and Agreeableness mediated the link between early maternal depression and later childhood behavior problems, though results varied across maternal and teacher reports. Findings suggest that individual differences in youth personality and personality development are important predictors of emerging psychopathology among offspring of mothers diagnosed with depression.

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Titel: Offspring Personality Mediates the Association between Maternal Depression and Childhood Psychopathology
Auteurs: Timothy A. Allen
Assaf Oshri
Fred A. Rogosch
Sheree L. Toth
Dante Cicchetti
Publicatiedatum: 30-06-2018
Uitgeverij: Springer US
Gepubliceerd in: Research on Child and Adolescent Psychopathology / Uitgave 2/2019
Print ISSN: 2730-7166
Elektronisch ISSN: 2730-7174
DOI: https://doi.org/10.1007/s10802-018-0453-3

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