Insomnia as a predictor of depression: A meta-analytic evaluation of longitudinal epidemiological studies

荟萃分析 萧条(经济学) 优势比 失眠症 精神科 流行病学 置信区间 医学 临床心理学 人口 心理学 内科学 环境卫生 宏观经济学 经济
作者
Chiara Baglioni,Gemma Battagliese,Bernd Feige,Kai Spiegelhalder,Christoph Nissen,Ulrich Voderholzer,Caterina Lombardo,Dieter Riemann
出处
期刊:Journal of Affective Disorders [Elsevier BV]
卷期号:135 (1-3): 10-19 被引量:2299
标识
DOI:10.1016/j.jad.2011.01.011
摘要

In many patients with depression, symptoms of insomnia herald the onset of the disorder and may persist into remission or recovery, even after adequate treatment. Several studies have raised the question whether insomniac symptoms may constitute an independent clinical predictor of depression. This meta-analysis is aimed at evaluating quantitatively if insomnia constitutes a predictor of depression. PubMed, Medline, PsycInfo, and PsycArticles databases were searched from 1980 until 2010 to identify longitudinal epidemiological studies simultaneously investigating insomniac complaints and depressed psychopathology. Effects were summarized using the logarithms of the odds ratios for insomnia at baseline to predict depression at follow-up. Studies were pooled with both fixed- and random-effects meta-analytic models in order to evaluate the concordance. Heterogeneity test and sensitivity analysis were computed. Twenty-one studies met inclusion criteria. Considering all studies together, heterogeneity was found. The random-effects model showed an overall odds ratio for insomnia to predict depression of 2.60 (confidence interval [CI]: 1.98–3.42). When the analysis was adjusted for outliers, the studies were not longer heterogeneous. The fixed-effects model showed an overall odds ratio of 2.10 (CI: 1.86–2.38). The main limit is that included studies did not always consider the role of other intervening variables. Non-depressed people with insomnia have a twofold risk to develop depression, compared to people with no sleep difficulties. Thus, early treatment programs for insomnia might reduce the risk for developing depression in the general population and be considered a helpful general preventive strategy in the area of mental health care.
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
1秒前
Liufgui应助杜兰特工队采纳,获得10
2秒前
卿欣完成签到 ,获得积分10
3秒前
学术渣渣发布了新的文献求助10
6秒前
小情绪应助小刺猬采纳,获得10
6秒前
8秒前
8秒前
10秒前
Hathaway完成签到,获得积分10
12秒前
shuang0116发布了新的文献求助10
12秒前
吴所谓发布了新的文献求助50
13秒前
Liufgui应助听话的惜梦采纳,获得10
13秒前
充电宝应助影子采纳,获得10
14秒前
折耳根完成签到 ,获得积分10
14秒前
16秒前
犹豫的夏旋完成签到 ,获得积分10
16秒前
18秒前
20秒前
21秒前
量子星尘发布了新的文献求助10
22秒前
汉堡包应助Dmooou采纳,获得10
22秒前
今后应助MingqingFang采纳,获得10
26秒前
26秒前
jungle完成签到 ,获得积分10
26秒前
去追完成签到 ,获得积分10
26秒前
Cloud完成签到 ,获得积分10
26秒前
影子发布了新的文献求助10
28秒前
29秒前
王子安应助科研通管家采纳,获得10
29秒前
猪猪hero应助科研通管家采纳,获得10
29秒前
研友_VZG7GZ应助科研通管家采纳,获得10
29秒前
所所应助科研通管家采纳,获得10
29秒前
王子安应助科研通管家采纳,获得10
29秒前
29秒前
云染完成签到 ,获得积分10
30秒前
roy发布了新的文献求助10
31秒前
酷波er应助yiryir采纳,获得10
31秒前
李爱国应助善木兰采纳,获得10
33秒前
33秒前
梅子发布了新的文献求助10
33秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
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 3988997
求助须知:如何正确求助?哪些是违规求助? 3531351
关于积分的说明 11253520
捐赠科研通 3269928
什么是DOI,文献DOI怎么找? 1804830
邀请新用户注册赠送积分活动 882063
科研通“疑难数据库(出版商)”最低求助积分说明 809068