The Prevalence of Depression among the Global Public in the Context of the COVID-19 Epidemic: A Systematic Review and Meta-Analysis.

IF 1.3 4区 医学 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Jiaxian Shao, Yuncong Yu, Cheng Cheng, Min Gao, Xiaona Li, Dongping Ma, Wenqiang Yin, Zhongming Chen
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引用次数: 0

Abstract

Background: We aimed to analyze the prevalence of depression among the global public during COVID-19, identify its influencing factors in order to provide reference, and help safeguard public mental health.

Methods: A comprehensive literature on global public depression in various countries during the COVID-19 pandemic was obtained through electronic searches of PubMed, Web of Science, and other databases, combined with literature tracing from Dec 2019 to Mar 2023. Then a meta-analysis was conducted using the random effects model by Stata 16.0. The heterogeneity was evaluated by I2 . Subgroup analysis, sensitivity analysis, and meta-regression analysis were used to explore the sources of heterogeneity and the factors influencing public depression. Egger's test was used to test publication bias.

Results: Overall, 68 articles with 234,678 samples were included in the study. Analysis revealed that the overall prevalence of depression among the population during COVID-19 was 32.0% (95% CI: 29.0%-35.0%). Of these, marital status (OR=0.65, 95% CI: 0.47-0.87), presence of infected cases (OR=2.45, 95% CI: 1.82-3.30), and fear of being infected by the virus (OR=9.31, 95% CI: 6.03-14.37) were the main factors influencing people's depression and the main source of heterogeneity.

Conclusion: The prevalence of depression among the global public is at a high level during COVID-19. The prevalence of depression among people unmarried, divorced, or widowed, surrounded by infected cases, contact infection cases, and worried about being were higher than others.

COVID-19 流行病背景下全球公众的抑郁症患病率:系统回顾与元分析》。
背景:我们旨在分析 COVID-19 期间全球公众的抑郁症患病率,找出其影响因素,以提供参考,帮助保障公众心理健康:我们旨在分析COVID-19流行期间全球公众的抑郁症患病率,找出其影响因素以提供参考,帮助保障公众心理健康:通过PubMed、Web of Science等数据库的电子检索,结合2019年12月至2023年3月的文献追踪,获得了COVID-19大流行期间全球各国公众抑郁症的综合文献。然后利用Stata 16.0的随机效应模型进行了荟萃分析。异质性通过 I2 进行评估。采用亚组分析、敏感性分析和元回归分析来探讨异质性的来源和影响公众抑郁的因素。Egger检验用于检测发表偏倚:研究共纳入了 68 篇文章,234 678 个样本。分析显示,在 COVID-19 期间,抑郁症在人群中的总体患病率为 32.0%(95% CI:29.0%-35.0%)。其中,婚姻状况(OR=0.65,95% CI:0.47-0.87)、是否有感染病例(OR=2.45,95% CI:1.82-3.30)和害怕被病毒感染(OR=9.31,95% CI:6.03-14.37)是影响人们抑郁的主要因素,也是异质性的主要来源:结论:在 COVID-19 期间,全球公众的抑郁症患病率处于较高水平。结论:在 COVID-19 期间,全球公众的抑郁症患病率处于较高水平,未婚、离异或丧偶、周围有感染病例、接触感染病例和担心自己的人的抑郁症患病率高于其他人。
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来源期刊
Iranian Journal of Public Health
Iranian Journal of Public Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
2.20
自引率
7.10%
发文量
300
审稿时长
3-8 weeks
期刊介绍: Iranian Journal of Public Health has been continuously published since 1971, as the only Journal in all health domains, with wide distribution (including WHO in Geneva and Cairo) in two languages (English and Persian). From 2001 issue, the Journal is published only in English language. During the last 41 years more than 2000 scientific research papers, results of health activities, surveys and services, have been published in this Journal. To meet the increasing demand of respected researchers, as of January 2012, the Journal is published monthly. I wish this will assist to promote the level of global knowledge. The main topics that the Journal would welcome are: Bioethics, Disaster and Health, Entomology, Epidemiology, Health and Environment, Health Economics, Health Services, Immunology, Medical Genetics, Mental Health, Microbiology, Nutrition and Food Safety, Occupational Health, Oral Health. We would be very delighted to receive your Original papers, Review Articles, Short communications, Case reports and Scientific Letters to the Editor on the above men­tioned research areas.
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