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Supplementary materials to "Trajectories of depressive symptoms and associated risk factors from late adolescence to emerging adulthood" [Other]

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PsychArchives2025-10-14 更新2026-04-25 收录
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https://hdl.handle.net/20.500.12034/16675
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Supplementary materials [Other]. The related article is Pfeiffer, S., Alt, P., & Walper, S. (2025). Trajectories of depressive symptoms and associated risk factors from late adolescence to emerging adulthood. Clinical Psychology in Europe, 7(4), Article e15801. https://doi.org/10.32872/cpe.15801 The Supplementary Materials contain the following items: Supplement 1: Results of LCGA and GMM Analyses for Depressive Symptom Trajectories. This supplement provides detailed results of latent class growth analysis (LCGA) and growth mixture modeling (GMM) examining trajectories of depressive symptoms. For each model spe cification (linear, latent base course, quadratic, and LCGA linear), the supplement includes density plots, estimated trajectories, trajectories overlaid with raw data, and model fit indices (AIC, BIC, aBIC, entropy, VLMR/LMR p-values, and class sizes). These materials offer transparency regarding model selection and facilitate evaluation of alternative class solutions. Supplemental Table 2: Multinomial Regression Analyses of Trajectory Membership Predictors This table presents results from multinomial regression models examining sociodemographic variables (gender, family type, parental education, immigration background) and treatment use as predictors of depressive symptom trajectory membership. Odds ratios (OR), 95% confidence intervals (CI), and p-values are reported for each class comparison. unknown unknown
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PsychOpen GOLD
创建时间:
2025-10-14
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