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Open access Sep 2026

Predicting longitudinal depressive symptom trajectories among older Chinese adults with chronic health conditions: An interpretable machine learning study.

OBJECTIVE This study leveraged interpretable machine learning (ML) to map heterogeneous trajectories of depressive symptoms in Chinese older adults with chronic diseases, aiming to develop an interpretable, prediction-oriented framework for personalized mental health interventions. METHODS We analyzed four-wave longi...

Zhan Yu, An-Ao Zhang, Kai-Peng Wang et al. · 0 citations
Aug 2026

Shadows of loneliness: Shaping the link between self-rated health and depressive symptoms trajectories in later life.

OBJECTIVES To examine how self-rated health (SRH) and depressive symptoms co-evolve over time among older adults, and whether loneliness modifies the relationship between baseline and trajectory of SRH in relation to the initial level and trend of depressive symptoms. METHODS Using the 2012-2020 waves of the Health a...

Zhan Yu, Jay Kayser, Mei-Yan Chen et al. · 0 citations

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