Multimorbidity and depression: A systematic review and meta-analysis

奇纳 萧条(经济学) 医学 优势比 荟萃分析 重性抑郁障碍 多发病率 精神科 共病 梅德林 心理信息 内科学 心理干预 心情 法学 经济 宏观经济学 政治学
作者
Jennifer R. Read,Louise Sharpe,Matthew Modini,Blake F. Dear
出处
期刊:Journal of Affective Disorders [Elsevier BV]
卷期号:221: 36-46 被引量:857
标识
DOI:10.1016/j.jad.2017.06.009
摘要

Multimorbidity, the presence of two or more chronic conditions, is increasingly common and complicates the assessment and management of depression. The aim was to investigate the relationship between multimorbidity and depression.A systematic literature search was conducted using the databases; PsychINFO, Medline, Embase, CINAHL and Cochrane Central. Results were meta-analysed to determine risk for a depressive disorder or depressive symptoms in people with multimorbidity.Forty articles were identified as eligible (n = 381527). The risk for depressive disorder was twice as great for people with multimorbidity compared to those without multimorbidity [RR: 2.13 (95% CI 1.62-2.80) p<0.001] and three times greater for people with multimorbidity compared to those without any chronic physical condition [RR: 2.97 (95% CI 2.06-4.27) p<0.001]. There was a 45% greater odds of having a depressive disorder with each additional chronic condition compared to the odds of having a depressive disorder with no chronic physical condition [OR: 1.45 (95% CI 1.28-1.64) p<0.001]. A significant but weak association was found between the number of chronic conditions and depressive symptoms [r = 0.26 (95% CI 0.18-0.33) p <0.001].Although valid measures of depression were used in these studies, the majority assessed the presence or absence of multimorbidity by self-report measures.Depression is two to three times more likely in people with multimorbidity compared to people without multimorbidity or those who have no chronic physical condition. Greater knowledge of this risk supports identification and management of depression.
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
Summer完成签到 ,获得积分10
1秒前
1秒前
1秒前
2秒前
2秒前
英吉利25发布了新的文献求助10
3秒前
3秒前
ypres发布了新的文献求助30
3秒前
4秒前
4秒前
4秒前
125发布了新的文献求助10
5秒前
sunmcxz发布了新的文献求助10
5秒前
dundundun发布了新的文献求助10
5秒前
序雪轩阳发布了新的文献求助10
6秒前
稳重书包完成签到,获得积分10
7秒前
7秒前
lzy发布了新的文献求助10
7秒前
17发布了新的文献求助10
8秒前
8秒前
JamesPei的应助被郭鑫鑫采纳,获得10
8秒前
科研通AI6.4的应助被Makubes采纳,获得30
8秒前
兔子发布了新的文献求助10
8秒前
完美世界的应助被dsfd采纳,获得10
8秒前
9秒前
科研狗发布了新的文献求助10
9秒前
Lycant1完成签到,获得积分10
9秒前
志远牛完成签到,获得积分10
10秒前
10秒前
吃紫薯的鱼完成签到,获得积分10
10秒前
星辰大海的应助被shiyin采纳,获得30
11秒前
12秒前
13秒前
urman发布了新的文献求助10
13秒前
13秒前
13秒前
14秒前
Lyf发布了新的文献求助10
14秒前
大个的应助被Xz采纳,获得10
14秒前
sunmcxz完成签到,获得积分20
14秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Organizational Behavior 510
Arbitrage Theory in Discrete and Continuous Time 500
Fortepian Chopina 400
A Silent Apostrophe:The Fayum Portraits 310
四川大学学位论文.郭瑞昂. 基于高压热扩散的n型磷掺杂金刚石半导体制备研究 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 有机化学 化学工程 内科学 物理 生物化学 复合材料 催化作用 细胞生物学 人工智能 心理学 无机化学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 7832354
求助须知:如何正确求助?哪些是违规求助? 9356118
关于积分的说明 20587338
捐赠科研通 7424754
什么是DOI,文献DOI怎么找? 3336834
关于科研通互助平台的介绍 2481356
邀请新用户注册赠送积分活动 2357566