Department of Social Medicine and Health Education, Peking University School of Public Health, Beijing, China.
Department of Social Medicine and Health Education, Peking University School of Public Health, Beijing, China
BMJ Open. 2023 Jul 4;13(7):e071175. doi: 10.1136/bmjopen-2022-071175.
Depressive symptoms and cardiovascular diseases (CVDs) are important issues affecting the health of the middle-aged and elderly population in China. This study aimed to investigate the bidirectional association between depressive symptoms and CVD in middle-aged and elderly people in China.
A 5-year longitudinal study.
We included 6702 middle-aged and elderly participants from China Health and Retirement Longitudinal Study (CHARLS), which is a nationwide longitudinal household survey that started in 2011 (T1) and followed up every 2 years in 2013 (T2) and 2015 (T3).
Depressive symptoms were measured by the Center for Epidemiological Studies Depression Scale. Binary logistic regression was used to identify the influencing factors of depressive symptoms and CVD at T1. The cross-lagged panel model was used to analyse the association between depressive symptoms and CVD at T1, T2 and T3.
The CHARLS is a representative longitudinal survey of people aged ≥45 years. Using data extracted from the CHARLS, overall, at T1, 2621 (39.10%) participants had depressive symptoms and 432 (6.4%) had CVD, and at T3, 2423 (36.2%) had depressive symptoms and 760 (11.3%) had CVD, respectively. Depressive symptoms at T1 had a effect on CVD at T2 (β=0.015, p=0.009), and depressive symptoms at T2 had an effect on CVD at T3 (β=0.015, p=0.034). CVD at T1 predicted depressive symptoms at T2 (β=0.036, p=0.002).
There is a bidirectional predictive effect between depressive symptoms and CVD. The effect of depressive symptoms on CVD is stable, and CVD has an effect on depressive symptoms in a short period of time.
抑郁症状和心血管疾病（CVD）是影响中国中老年人群健康的重要问题。本研究旨在探讨中国中老年人群中抑郁症状与 CVD 之间的双向关联。
一项 5 年的纵向研究。
我们纳入了来自中国健康与退休纵向研究（CHARLS）的 6702 名中老年参与者，该研究是一项始于 2011 年的全国性纵向家庭调查（T1），并在 2013 年（T2）和 2015 年（T3）每两年进行一次随访。
抑郁症状采用流行病学研究中心抑郁量表进行测量。采用二元逻辑回归分析识别 T1 时抑郁症状和 CVD 的影响因素。采用交叉滞后面板模型分析 T1、T2 和 T3 时抑郁症状与 CVD 之间的关联。
CHARLS 是一项针对≥45 岁人群的代表性纵向调查。使用从 CHARLS 中提取的数据，总体而言，在 T1 时，2621 名（39.10%）参与者有抑郁症状，432 名（6.4%）有 CVD，在 T3 时，2423 名（36.2%）有抑郁症状，760 名（11.3%）有 CVD。T1 时的抑郁症状对 T2 时的 CVD 有影响（β=0.015，p=0.009），T2 时的抑郁症状对 T3 时的 CVD 有影响（β=0.015，p=0.034）。T1 时的 CVD 预测了 T2 时的抑郁症状（β=0.036，p=0.002）。
抑郁症状与 CVD 之间存在双向预测效应。抑郁症状对 CVD 的影响是稳定的，而 CVD 在短时间内对抑郁症状有影响。
