ABSTRACT Background Although the association between depressive symptoms and cardiovascular disease (CVD) has been widely investigated, most existing studies have relied on single‐timepoint assessments of depression. Examining longitudinal trajectories of depressive symptoms may provide deeper insights into the dynamic and complex relationship between depression and CVD risk. Methods Based on data from the China Health and Retirement Longitudinal Study (CHARLS), this study analyzed the relationship between depressive symptom trajectories and CVD risk through logistic regression modeling and latent category growth modeling (LCGM) and explored causality using two‐sample Mendelian randomisation (MR). Results The study found four depressive symptom trajectories among Chinese older adults: low‐level symptoms, symptom relief, symptom worsening, and high‐level symptoms. Compared with the low‐level symptom group, the symptom relief, symptom worsening, and high‐level symptom groups had a significantly increased risk of CVD, with ORs of 1.51, 1.60, and 2.87, respectively (all P values < 0.05). MR analyses also showed a significant association between depressive symptoms and CVD risk. Conclusions The study indicates that longitudinal assessment of depressive symptom trajectories provides a more robust prediction of CVD risk compared to single‐timepoint assessments.
Wang et al. (2025) studied this question.