Sleep disturbances and incident risk of major depressive disorder in a population-based cohort

重性抑郁障碍 艾普沃思嗜睡量表 危险系数 多导睡眠图 入射(几何) 人口 医学 队列 失眠症 内科学 队列研究 前瞻性队列研究 精神科 置信区间 心理学 心情 呼吸暂停 物理 光学 环境卫生
作者
Geoffroy Solelhac,Théo Imler,Marie‐Pierre F. Strippoli,Nicola Andrea Marchi,Mathieu Berger,José Haba‐Rubio,Tifenn Raffray,Virginie Bayon,Angela Lombardi,Setareh Ranjbar,Francesca Siclari,Péter Vollenweider,Pedro Marques‐Vidal,Pierre A. Geoffroy,Damien Léger,Aurélie Stephan,Martin Preisig,Raphaël Heinzer
出处
期刊:Psychiatry Research-neuroimaging [Elsevier]
卷期号:338: 115934-115934
标识
DOI:10.1016/j.psychres.2024.115934
摘要

Sleep disturbances are well-known symptoms of major depressive disorder (MDD). However, the prospective risk of MDD in the presence of sleep disturbances in a general population-based cohort is not well known. This study investigated associations between both polysomnography (PSG)-based or subjective sleep features and incident MDD. Participants representative of the general population who had never had MDD completed sleep questionnaires (n = 2000) and/or underwent PSG (n = 717). Over 8 years' follow-up, participants completed psychiatric interviews enabling the diagnosis of MDD. Survival Cox models were used to analyze associations between sleep features and MDD incidence. A higher Epworth Sleepiness Scale and presence of insomnia symptoms were significantly associated with a higher incidence of MDD (hazard ratio [HR] [95 % confidence interval (CI)]: 1.062 [1.022–1.103], p = 0.002 and 1.437 [1.064–1.940], p = 0.018, respectively). Higher density of rapid eye movements in rapid eye movement (REM) sleep was associated with a higher incidence of MDD in men (HR 1.270 [95 % CI 1.064–1.516], p = 0.008). In women, higher delta power spectral density was associated with a lower MDD incidence (HR 0.674 [95 % CI 0.463–0.981], p = 0.039). This study confirmed the associations between subjective and objective sleep features and the incidence of MDD in a large community dwelling cohort.

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
刚刚
1秒前
Ace发布了新的文献求助10
1秒前
lizhiqian2024发布了新的文献求助10
1秒前
asdfzxcv应助小王爱喝可乐采纳,获得20
1秒前
完美世界应助Hangerli采纳,获得10
1秒前
2秒前
五氧化二磷完成签到,获得积分10
2秒前
领导范儿应助ell采纳,获得10
3秒前
花痴的电灯泡完成签到,获得积分10
3秒前
4秒前
ding应助shouyi123采纳,获得10
4秒前
量子星尘发布了新的文献求助10
4秒前
包女士发布了新的文献求助10
5秒前
研友_LMNqrn完成签到,获得积分10
5秒前
量子星尘发布了新的文献求助10
5秒前
bkagyin应助当代采纳,获得10
6秒前
dhn完成签到,获得积分10
6秒前
情怀应助173678采纳,获得10
6秒前
快乐的青柏完成签到,获得积分0
7秒前
7秒前
Owen应助科研通管家采纳,获得10
8秒前
NexusExplorer应助科研通管家采纳,获得10
8秒前
慢慢发布了新的文献求助10
8秒前
科研通AI6应助科研通管家采纳,获得10
8秒前
科研通AI6应助科研通管家采纳,获得30
8秒前
y9gyn_37应助科研通管家采纳,获得10
8秒前
科研通AI2S应助科研通管家采纳,获得10
8秒前
完美世界应助科研通管家采纳,获得10
8秒前
Jared应助科研通管家采纳,获得10
8秒前
李爱国应助科研通管家采纳,获得10
8秒前
Akim应助科研通管家采纳,获得10
8秒前
上官若男应助科研通管家采纳,获得10
8秒前
传奇3应助科研通管家采纳,获得30
9秒前
FashionBoy应助科研通管家采纳,获得10
9秒前
9秒前
9秒前
9秒前
9秒前
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Binary Alloy Phase Diagrams, 2nd Edition 8000
Building Quantum Computers 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5665926
求助须知:如何正确求助?哪些是违规求助? 4878759
关于积分的说明 15115809
捐赠科研通 4825184
什么是DOI,文献DOI怎么找? 2583119
邀请新用户注册赠送积分活动 1537092
关于科研通互助平台的介绍 1495480