ArticlePrevention science : the official journal of the Society for Prevention Research2023
Developmental Models of Depression, Externalizing Problems, and Self-regulatory Processes: Integrated Data Analysis Across Four Longitudinal Studies of Youth.
Article in Prevention science : the official journal of the Society for Prevention Research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Statistical methods for retrospective harmonization of longitudinal epidemiological data: a scoping review.European journal of epidemiology · 2026Article
- Symptom networks of internalizing and externalizing problems in children with leukemia: a network analysis and computer-simulated intervention study.BMC psychology · 2026Article
- Personality and presentation of depression symptoms: A preliminary examination of the pathoplasticity model.Clinical psychological science : a journal of the Association for Psychological Science · 2025Article
- Advancing Intervention and Prevention Research for Behavioral Health Problems Through Data Synthesis.Prevention science : the official journal of the Society for Prevention Research · 2023Article
- Retrospective Psychometrics and Effect Heterogeneity in Integrated Data Analysis: Commentary on the Special Issue.Prevention science : the official journal of the Society for Prevention Research · 2023Article
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Authors and funding
9 authors.
Funding
Abstract
Integrative data analysis (IDA) was used to derive developmental models of depression, externalizing problems, and self-regulatory processes in three prevention trials of the Family Check-Up and one longitudinal, community-based study of girls over a 10-year span covering early to late adolescence (N = 4,773; 74.9% female, 41.7% white). We used moderated nonlinear factor analysis to create harmonized scores based on all available items for a given participant in the pooled dataset while accounting for potential differences in both the latent factor and the individual items as a function of observed covariates. We also conducted latent growth model analyses to examine developmental trajectories of risk. Results indicated a bidirectional relationship between depression and externalizing problems, with greater baseline externalizing problems and depression predicting growth in inhibitory control difficulties. Furthermore, initial level of inhibitory control difficulties was associated with growth in depression. We did not, however, find a relationship between early inhibitory control difficulties and growth in externalizing problems. This work illustrates the utility of IDA techniques to harmonize data across multiple studies to identify risk factors for the development of depression and externalizing problems that can be targeted by prevention efforts.
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