International study of the prevalence and factors associated with insomnia in the general population

失眠症 焦虑 人口 心情 心理健康 精神科 医学 精神障碍患病率 情绪障碍 横断面研究 公共卫生 临床心理学 心理学 环境卫生 护理部 病理
作者
E. Aernout,Imane Benradia,Jean‐Baptiste Hazo,Aminata Sy,Françoise Askevis-Leherpeux,Déborah Sebbane,Jean‐Luc Roelandt
出处
期刊:Sleep Medicine [Elsevier]
卷期号:82: 186-192 被引量:116
标识
DOI:10.1016/j.sleep.2021.03.028
摘要

Insomnia is a public health problem with many repercussions. It affects a significant proportion of the general population worldwide, but the estimated prevalences in different countries are difficult to compare due to the use of heterogeneous methodologies. The objectives of the study were to compare the prevalence of insomnia in the general population in different sites around the world and to identify sociodemographic and mental health associated factors, using the same tool and within a single study.This multicenter cross-sectional study is based on the Mental Health in the General Population survey (MHPG). It included several sites in France and 12 countries around the world with a representative sampling of the general population. The prevalence of short-term insomnia disorder was estimated by the occurrence within one month of at least one symptom, at a minimum frequency of three per week, with repercussions on everyday life.Out of the 57,298 participants, 11.3% had a diagnosis of short-term insomnia disorder, with significant differences in prevalence between sites, ranging from 2.3% to 25.5%. Insomnia was significantly related to having mood disorders, anxiety disorders, substance use disorders and psychotic disorders. Insomnia was also more common among women, older adults, working participants and those who practice a religion.The prevalence of insomnia was highly variable between sites, but the predictors appeared to be the same everywhere. Insomnia seemed to be more related to the presence of mood and anxiety disorders than a site-specific effect and thus may be a good indicator of mental health.
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
浮生六记完成签到 ,获得积分10
刚刚
1秒前
1秒前
2秒前
昵称发布了新的文献求助10
2秒前
浮游应助葛一豪采纳,获得10
2秒前
3秒前
缓慢平蓝发布了新的文献求助10
3秒前
Hello应助日常常采纳,获得10
4秒前
4秒前
踏雪发布了新的文献求助10
4秒前
5秒前
朱盼盼发布了新的文献求助10
5秒前
科研菜鸟发布了新的文献求助10
6秒前
wanci应助昵称采纳,获得10
7秒前
jason668发布了新的文献求助10
8秒前
8秒前
御龙魄发布了新的文献求助10
8秒前
chen完成签到,获得积分10
8秒前
知性的牛青完成签到,获得积分10
8秒前
9秒前
岩中花述完成签到 ,获得积分10
9秒前
OIC发布了新的文献求助10
10秒前
11秒前
11秒前
炙热雅琴发布了新的文献求助10
11秒前
12秒前
labi发布了新的文献求助10
12秒前
科研通AI6应助ling采纳,获得10
13秒前
苏苏喂苏苏完成签到 ,获得积分10
14秒前
精明乐菱完成签到 ,获得积分10
14秒前
量子星尘发布了新的文献求助10
15秒前
云野完成签到,获得积分10
15秒前
久久完成签到,获得积分10
15秒前
16秒前
17秒前
Cdy发布了新的文献求助20
17秒前
贪玩丸子完成签到 ,获得积分10
17秒前
18秒前
bkagyin应助害怕的惜文采纳,获得10
19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
List of 1,091 Public Pension Profiles by Region 1001
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Washback Research in Language Assessment:Fundamentals and Contexts 400
Haematolymphoid Tumours (Part A and Part B, WHO Classification of Tumours, 5th Edition, Volume 11) 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 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5469093
求助须知:如何正确求助?哪些是违规求助? 4572269
关于积分的说明 14334781
捐赠科研通 4499079
什么是DOI,文献DOI怎么找? 2464915
邀请新用户注册赠送积分活动 1453452
关于科研通互助平台的介绍 1427997