Abstract
Cross-lagged panel models (CLPM) are often used to study anxiety-depression co-occurrence. However, the CLPM aggregates within- and between-person variance, which can lead to incorrect estimates. The latent curve model with structured residuals (LCM-SR) parses these sources of variance. We utilized the LCM-SR to examine prospective associations between anxiety (physical, social, separation) and depression. Youth (N = 680; Mage = 11.8; 55% female) completed measures of depression and anxiety every 3 months for 3 years (13 timepoints). The LCM-SR describing anxiety-depression co-occurrence fit well (RMSEA = 0.05, SRMR = 0.06). Depression predicted within-person change in social (b = 0.09), physical (b = 0.04), and separation anxiety (b = 0.06) over 13 timepoints. Separation anxiety predicted within-person change in depression (b = 0.08); social and physical anxiety did not. Findings advance knowledge of within-person development of anxiety-depression co-occurrence.
Original language | English (US) |
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Pages (from-to) | 158-167 |
Number of pages | 10 |
Journal | Journal of Research in Personality |
Volume | 81 |
DOIs | |
State | Published - Aug 2019 |
Keywords
- Anxiety
- Comorbidity
- Depression
- Latent curve model with structured residuals
- Youth
ASJC Scopus subject areas
- Social Psychology
- General Psychology