Dynamic prediction of depressive states using stress processes: A multilevel decision tree approach

doi:10.3724/SP.J.1041.2025.01363

Acta Psychologica Sinica ›› 2025, Vol. 57 ›› Issue (8): 1363-1377.doi: 10.3724/SP.J.1041.2025.01363

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Dynamic prediction of depressive states using stress processes: A multilevel decision tree approach

LUO Xiaohui, HU Yueqin(), LIU Hongyun()

Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, 100875, China

Published:2025-08-25 Online:2025-05-22
Contact: LIU Hongyun, E-mail: hyliu@bnu.edu.cn; HU Yueqin, E-mail: yueqinhu@bnu.edu.cn

Abstract

LUO Xiaohui, HU Yueqin, LIU Hongyun. (2025). Dynamic prediction of depressive states using stress processes: A multilevel decision tree approach. Acta Psychologica Sinica, 57(8), 1363-1377.

Figures/Tables 3

Figure 1. Stress processes associated with depressive states.

Figure 2. Dynamic prediction model (I) of stress processes (t) on depressive states (t+1).
Note: CM = Cumulative mean. D = Deviation (from person-specific cumulative mean).

Figure 3. Dynamic prediction model (II) of stress processes (t) on depressive states (t+1).
Note: CM = Cumulative mean. D = Deviation (from person-specific cumulative mean). Dynamic indicators (i.e., momentary score, CM, and D) of positive and negative affect were not included as predictors.

Dynamic prediction of depressive states using stress processes: A multilevel decision tree approach

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