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 护理部 宏观经济学 病理 病毒学 社会学 经济
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
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
闪闪的硬币完成签到 ,获得积分10
刚刚
FashionBoy的应助被蓝蓝的腿毛采纳,获得10
2秒前
2秒前
MchemG的应助被实验室采纳,获得30
3秒前
mina完成签到 ,获得积分10
4秒前
4秒前
Lliu完成签到,获得积分10
4秒前
任性铅笔完成签到 ,获得积分10
5秒前
徐徐诱之完成签到,获得积分10
6秒前
端庄一刀发布了新的文献求助20
7秒前
大气手机完成签到,获得积分10
8秒前
8秒前
桐桐的应助被当街走路里采纳,获得10
9秒前
暴躁的初瑶完成签到,获得积分10
10秒前
顾乐乐完成签到,获得积分10
11秒前
11秒前
FashionBoy的应助被任性铅笔采纳,获得10
12秒前
苶凉发布了新的文献求助10
13秒前
鲨鱼辣椒发布了新的文献求助10
14秒前
NexusExplorer的应助被科研通管家采纳,获得10
14秒前
CipherSage的应助被科研通管家采纳,获得10
14秒前
14秒前
李爱国的应助被科研通管家采纳,获得10
14秒前
15秒前
充电宝的应助被科研通管家采纳,获得10
15秒前
在水一方的应助被科研通管家采纳,获得10
15秒前
英姑的应助被科研通管家采纳,获得10
15秒前
sawatuen的应助被科研通管家采纳,获得10
15秒前
15秒前
星辰大海的应助被科研通管家采纳,获得10
15秒前
搜集达人的应助被科研通管家采纳,获得10
15秒前
斯文败类的应助被科研通管家采纳,获得50
16秒前
16秒前
情怀的应助被科研通管家采纳,获得10
16秒前
充电宝的应助被科研通管家采纳,获得10
16秒前
不留名的应助被科研通管家采纳,获得10
16秒前
小白发布了新的文献求助10
16秒前
不留名的应助被科研通管家采纳,获得10
16秒前
酷波er的应助被科研通管家采纳,获得10
16秒前
科研通AI6.4的应助被房产中介采纳,获得10
16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
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Issues in Task-Based Language Teaching 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7783638
求助须知:如何正确求助?哪些是违规求助? 9322927
关于积分的说明 20392349
捐赠科研通 7372274
什么是DOI,文献DOI怎么找? 3320727
关于科研通互助平台的介绍 2468728
邀请新用户注册赠送积分活动 2336951