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28-06-2022 | Original Article

Anxiety and Depression from Childhood to Young Adulthood: Trajectories and Risk Factors

Auteurs: Devon LoParo, Antonio Castro Fonseca, Ana Paula Marie Matos, W. Edward Craighead

Gepubliceerd in: Child Psychiatry & Human Development

Abstract

This study aimed to (1) evaluate how population levels of anxiety and depression grow and correlate from middle childhood through early adulthood, and (2) determine whether sex, family socioeconomic status, parental education, academic achievement, learning disabilities, or externalizing symptoms predict anxiety and/or depression levels and growth trajectory. We used two longitudinal samples (N = 445, 448) of Portuguese children. Mean depression levels increased from mid-childhood through adolescence before stabilizing in early adulthood and were most strongly predicted by academic achievement and learning disabilities. Mean anxiety levels increased until adolescence before decreasing across early adulthood and were most strongly predicted by academic achievement, learning disabilities, and externalizing symptoms. Quadratic models of growth fit best for both depression and anxiety, and depression and anxiety growth trajectories were strongly correlated. Though anxiety and depression trajectories differ in pattern and predictors, the two are highly interrelated and pathways to comorbid anxiety and depression should be characterized.

In MPlus, only the AIC, BIC, and Chi-Square are available for models of count variables. Given that all three measures were in agreement in all cases, the BIC was chosen as the primary fit statistic given its acceptance in the field.

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Titel: Anxiety and Depression from Childhood to Young Adulthood: Trajectories and Risk Factors
Auteurs: Devon LoParo
Antonio Castro Fonseca
Ana Paula Marie Matos
W. Edward Craighead
Publicatiedatum: 28-06-2022
Uitgeverij: Springer US
Gepubliceerd in: Child Psychiatry & Human Development
Print ISSN: 0009-398X
Elektronisch ISSN: 1573-3327
DOI: https://doi.org/10.1007/s10578-022-01391-y

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