Bidirectional association between depressive symptoms and cardiovascular disease in the middle-aged and elderly Chinese: a 5-year longitudinal study

医学 纵向研究 抑郁症状 萧条(经济学) 流行病学研究中心抑郁量表 流行病学 疾病 逻辑回归 老人忧郁量表 横断面研究 人口 老年学 精神科 内科学 环境卫生 认知 病理 宏观经济学 经济
作者
Zhang Ziwei,Yumeng Hua,A P Liu
出处
期刊:BMJ Open [BMJ]
卷期号:13 (7): e071175-e071175 被引量:4
标识
DOI:10.1136/bmjopen-2022-071175
摘要

Objective 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. Design A 5-year longitudinal study. Setting and participants 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). Outcome measures 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. Results 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). Conclusions 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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
搜集达人应助qq大魔王采纳,获得10
1秒前
1秒前
骞骞完成签到,获得积分10
1秒前
kangnakangna发布了新的文献求助10
2秒前
lutra发布了新的文献求助10
3秒前
盛开的芒果完成签到,获得积分10
3秒前
勤奋的冥王星完成签到,获得积分10
3秒前
Akim应助淘气科研采纳,获得10
3秒前
咚咚糖发布了新的文献求助10
4秒前
dddd完成签到,获得积分10
4秒前
4秒前
彭于晏应助Ge采纳,获得10
5秒前
呵呵哒发布了新的文献求助10
5秒前
无花果应助彩色的冬萱采纳,获得10
6秒前
花开富贵完成签到,获得积分10
6秒前
6秒前
解不言完成签到,获得积分10
6秒前
7秒前
敏感的手机完成签到 ,获得积分10
7秒前
8秒前
qly发布了新的文献求助10
8秒前
科研学习完成签到,获得积分10
9秒前
千叶伶发布了新的文献求助10
9秒前
平凡世界完成签到 ,获得积分10
9秒前
搜集达人应助玲儿采纳,获得10
10秒前
西扬发布了新的文献求助10
10秒前
Zoo举报浑以松求助涉嫌违规
10秒前
11秒前
可爱的函函应助lutra采纳,获得10
11秒前
zjn发布了新的文献求助10
12秒前
12秒前
呵呵哒完成签到,获得积分10
13秒前
mg应助kangnakangna采纳,获得10
13秒前
Gluneko完成签到,获得积分20
13秒前
shidewu完成签到,获得积分10
13秒前
14秒前
爱听歌的糖豆完成签到,获得积分10
14秒前
14秒前
14秒前
14秒前
高分求助中
(禁止应助)【重要!!请各位详细阅读】【科研通的精品贴汇总】 10000
International Code of Nomenclature for algae, fungi, and plants (Madrid Code) (Regnum Vegetabile) 1500
Robot-supported joining of reinforcement textiles with one-sided sewing heads 820
Византийско-аланские отно- шения (VI–XII вв.) 500
Improvement of Fingering-Induced Pattern Collapse by Adjusting Chemical Mixing Procedure 500
水稻光合CO2浓缩机制的创建及其作用研究 500
探索化学的奥秘:电子结构方法 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4179348
求助须知:如何正确求助?哪些是违规求助? 3714799
关于积分的说明 11711428
捐赠科研通 3395742
什么是DOI,文献DOI怎么找? 1863087
邀请新用户注册赠送积分活动 921504
科研通“疑难数据库(出版商)”最低求助积分说明 833299