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18. Unique longitudinal associations between symptoms of psychopathology in youth: A cross-lagged panel network analysis in the ABCD study
The network theory of psychopathology suggests that symptoms may cause each other, and several studies have examined the unique cross-sectional relationships among symptoms at various developmental stages using network analysis. However, the unique longitudinal associations between symptoms remain unclear. To elucidate these relationships, we utilized data from two waves (baseline and 6 month follow-up) of the Adolescent Brain Cognitive Development (ABCD) study (N = 4,080; Mean age = 10.0). A cross-lagged panel network was modeled to estimate autoregressive and cross-lagged associations between individual internalizing, externalizing, and attention symptoms controlling for all other symptoms in the network. Estimates of cross-lagged symptom centrality indicated that, after controlling for all other symptoms at baseline, depressed mood was the strongest prospective predictor of all other symptoms six months later (cross-lagged out-prediction = 1.60). At the six-month follow-up, guilt was most predicted by all other baseline symptoms (cross-lagged in-prediction = .48). These findings highlight the temporal relationships between individual psychopathological symptoms in youth, and suggest that depressed mood may connote increased risk for onset of other symptoms.