Prevalence and correlates of depressive symptoms in Chinese older adults: a population‐based study

萧条(经济学) 人口学 社会经济地位 流行病学研究中心抑郁量表 医学 老年学 人口 横断面研究 抑郁症状 中国 精神科 焦虑 环境卫生 病理 社会学 政治学 法学 经济 宏观经济学
作者
Jing Yu,Juan Li,Pim Cuijpers,Shengtao Wu,Zhenyun Wu
出处
期刊:International Journal of Geriatric Psychiatry [Wiley]
卷期号:27 (3): 305-312 被引量:168
标识
DOI:10.1002/gps.2721
摘要

Objective In China, the rapid socioeconomic transition and the consequential traditional culture change had significant influences on Chinese older‐adult depression. In the present study, the prevalence, the potential risk, and the protective factors of depression in the Chinese older population were investigated. Methods A cross‐sectional survey was conducted with a nationwide representative Chinese sample of 4945 older adults; the Center for Epidemiologic Studies Depression Scale (CES‐D) was used as the measurement tool for depressive symptoms. Demographic and other self‐reported related factors were taken into consideration. Results The prevalence of self‐reported depressive symptoms (CES‐D ≥ 16) in the total study population was 39.86% (pre‐old: 39.95%, young‐old: 39.84%, old‐old: 39.65%, oldest‐old: 45.19%); CES‐D score was significantly higher in the oldest‐old group than in the three younger groups. Furthermore, multiple regression analysis indicated that age itself was not an effective predictor for depressive symptoms, whereas family support and health status explained most of the variation. Conclusions The present study found a higher prevalence of depression in the Chinese older population compared with those reported two decades ago. Family support and health status were the most significant protective factors for depression in Chinese older adults. Traditional Chinese culture, which values family significantly and contributed to the previously reported lower prevalence rate, changed dramatically, which may explain the current higher prevalence. In addition to the deterioration of family support, the worsening of health status is another significant factor. Copyright © 2011 John Wiley & Sons, Ltd.
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
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
profile发布了新的文献求助10
刚刚
稳住完成签到,获得积分10
刚刚
xx完成签到 ,获得积分10
刚刚
上官若男应助炙热的磬采纳,获得10
刚刚
YoroYoshi完成签到,获得积分10
1秒前
1秒前
未白镇常客完成签到,获得积分20
1秒前
SibetHu完成签到,获得积分10
1秒前
1秒前
kid完成签到,获得积分20
1秒前
Ty完成签到,获得积分10
2秒前
单纯胡萝卜完成签到,获得积分10
2秒前
xhsubdjj发布了新的文献求助10
2秒前
Jeffrey发布了新的文献求助10
2秒前
4秒前
FashionBoy应助sxw2088采纳,获得10
4秒前
搜集达人应助汽水采纳,获得10
5秒前
kid发布了新的文献求助10
5秒前
5秒前
一品真意完成签到 ,获得积分10
6秒前
zydd发布了新的文献求助10
6秒前
7秒前
7秒前
李爱国应助复杂的元绿采纳,获得10
7秒前
田様应助爪子采纳,获得10
7秒前
小蘑菇应助王献杰采纳,获得10
7秒前
wjwqz完成签到 ,获得积分10
7秒前
梓歆发布了新的文献求助30
8秒前
Hyccccc完成签到,获得积分10
8秒前
8秒前
褪色发布了新的文献求助10
8秒前
所所应助铃旅采纳,获得10
9秒前
科研通AI5应助小丛雨采纳,获得10
9秒前
敏er好学发布了新的文献求助10
9秒前
why完成签到,获得积分10
10秒前
liuhao完成签到,获得积分10
10秒前
11秒前
情怀应助白宝箱采纳,获得10
11秒前
科研通AI5应助罗临天下采纳,获得10
12秒前
汎影发布了新的文献求助10
12秒前
高分求助中
Continuum thermodynamics and material modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Applications of Emerging Nanomaterials and Nanotechnology 1111
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Theory of Block Polymer Self-Assembly 750
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3488034
求助须知:如何正确求助?哪些是违规求助? 3075861
关于积分的说明 9142479
捐赠科研通 2768110
什么是DOI,文献DOI怎么找? 1518966
邀请新用户注册赠送积分活动 703449
科研通“疑难数据库(出版商)”最低求助积分说明 701864