Prevalence and risk factors of anxiety, depression and sleeping disturbances in china during the COVID-19 outbreak: a web-based cross-sectional study

焦虑 心理健康 医学 匹兹堡睡眠质量指数 婚姻状况 萧条(经济学) 雪球取样 公共卫生 爆发 人口 横断面研究 精神科 人口学 临床心理学 心理学 老年学 环境卫生 失眠症 睡眠质量 经济 护理部 病毒学 社会学 病理 宏观经济学
作者
Xuyi Wu,Jiuhong You,LI Ai-juan,He Zhu,Cheng Huang
出处
期刊:Psychology Health & Medicine [Taylor & Francis]
卷期号:27 (3): 698-706 被引量:6
标识
DOI:10.1080/13548506.2021.2003829
摘要

The rapid development of the coronavirus disease 2019 (COVID-19) outbreak has brought great harm to physical and mental health of the public. This study aims to investigate the psychological status and sleep quality of the Chinese public during the outbreak of the COVID-19 and its related factors. The survey was conducted from February 17th to February 26th, 2020 in southwestern China. The snowball sampling method was used to invite subjects. Demographic data were collected, and mental status and sleep quality were assessed by the Generalized Anxiety Disorder-7 Scale (GAD-7), the Patient Health Questionnaire-9 (PHQ-9), and the Pittsburgh Sleep Quality Index (PSQI). Descriptive, univariate, and correlation analyses were used to investigate risk factors for psychological status and sleep patterns. A total of 1509 adults (713 males and 796 females) were enrolled in this study. The overall prevalence of anxiety, depression, and decreased sleep quality were 22.3%, 32.2% and 35.4%, respectively. Compared with females, male population has witnessed a higher prevalence of anxiety symptoms (25.1% vs 20.4%, P= 0.007) and depressive symptoms (34.6% vs 30.0%, P= 0.027). In addition, age, marital status, living situation, involvement in anti-pandemic work, basic health status and work status were significant risk factors for anxiety or depression (P< 0.05). During the COVID-19 outbreak, psychological problems and sleep disorders were prevalent among the Chinese public. More attention should be paid to males, the elderly, the solitary, the unemployed, front-line workers in pandemic prevention, and patients with chronic diseases.
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
lyb发布了新的文献求助10
1秒前
烨枫晨曦完成签到,获得积分10
3秒前
wangli发布了新的文献求助10
5秒前
7秒前
7秒前
7秒前
哇达西哇发布了新的文献求助10
8秒前
琉璃发布了新的文献求助10
9秒前
笨笨颦应助啥都不会采纳,获得10
12秒前
笨笨颦应助啥都不会采纳,获得10
12秒前
情怀应助啥都不会采纳,获得10
12秒前
enen完成签到 ,获得积分20
13秒前
阿氏之光发布了新的文献求助10
14秒前
研友_yLpYkn完成签到,获得积分10
15秒前
日川冈坂完成签到 ,获得积分10
15秒前
enen关注了科研通微信公众号
17秒前
量子星尘发布了新的文献求助10
20秒前
田様应助wangli采纳,获得10
21秒前
23秒前
24秒前
共享精神应助ppapppap采纳,获得10
24秒前
24秒前
隐形曼青应助小李采纳,获得10
25秒前
25秒前
26秒前
akscns完成签到,获得积分10
28秒前
哈哈哈发布了新的文献求助10
29秒前
小猪发布了新的文献求助30
29秒前
852应助苹果采纳,获得10
29秒前
小馒头发布了新的文献求助10
29秒前
无花果应助小猪爱科研采纳,获得10
30秒前
xiemin发布了新的文献求助30
30秒前
笨笨颦应助大叉烧采纳,获得10
31秒前
33秒前
34秒前
34秒前
35秒前
zhangxiaopan发布了新的文献求助10
35秒前
桐桐应助selena采纳,获得10
36秒前
wu完成签到 ,获得积分10
37秒前
高分求助中
Diagnostic Imaging: Pediatric Neuroradiology 2000
Semantics for Latin: An Introduction 1099
Biology of the Indian Stingless Bee: Tetragonula iridipennis Smith 1000
War and Peace in the Borderlands of Myanmar: The Kachin Ceasefire, 1994-2011 800
Robot-supported joining of reinforcement textiles with one-sided sewing heads 740
2024-2030年中国石英材料行业市场竞争现状及未来趋势研判报告 500
镇江南郊八公洞林区鸟类生态位研究 500
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 4140929
求助须知:如何正确求助?哪些是违规求助? 3677457
关于积分的说明 11624321
捐赠科研通 3371392
什么是DOI,文献DOI怎么找? 1851957
邀请新用户注册赠送积分活动 914854
科研通“疑难数据库(出版商)”最低求助积分说明 829520