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印度普通人群中的新冠病毒病(COVID-19)与心理困扰:观察性研究的荟萃分析

COVID-19 and Psychological Distress among the General Population of India: Meta-Analysis of Observational Studies.

作者信息

Sharma Suresh, Joseph Jaison, Dhandapani Manju, Varghese Abin, Radha K, Mathews Elezebeth, Varkey Biji P

机构信息

College of Nursing, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.

Department of Psychiatric Nursing, College of Nursing, Pt. B.D. Sharma University of Health Sciences, Rohtak, Haryana, India.

出版信息

Indian J Community Med. 2022 Apr-Jun;47(2):160-165. doi: 10.4103/ijcm.ijcm_1365_21. Epub 2022 Jul 11.

DOI:10.4103/ijcm.ijcm_1365_21
PMID:36034249
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9400349/
Abstract

BACKGROUND

There is scanty evidence regarding the magnitude of COVID-19-related psychological distress (PD) among the general population of India.

OBJECTIVES

This study aimed to estimate the pooled prevalence of PD among the general public of India during the COVID-19 pandemic.

MATERIAL AND METHODS

We conducted a meta-analysis of 21 online surveys conducted across the Indian subcontinent and published between 2020 and 2021.

RESULTS

Overall estimates of PD among the general public during the COVID-19 pandemic by the random-effects model is 33.3% (95% confidence interval: 23.8%-42.8%; = 21 studies). The level of heterogeneity was high among the included studies (I2 = 99.67%). In subgroup analysis, it was found that the survey tool and the methodological quality had a significant effect on the overall prevalence estimates. Approximately 33% of the general public reported to have PD during the COVID-19 pandemic in India, although the overall prevalence varied based on survey tools and quality of studies.

CONCLUSION

As the pandemic crisis seems to be ebbing across the world, the current findings are a wake-up call to devise pragmatic strategies to curtail the burden of similar pandemics and to successfully meet the challenges ahead.

摘要

背景

关于印度普通人群中与新冠疫情相关的心理困扰(PD)程度的证据很少。

目的

本研究旨在估计新冠疫情期间印度普通公众中PD的合并患病率。

材料与方法

我们对2020年至2021年间在印度次大陆开展并发表的21项在线调查进行了荟萃分析。

结果

随机效应模型得出的新冠疫情期间普通公众中PD的总体估计值为33.3%(95%置信区间:23.8%-42.8%;纳入研究数量=21项)。纳入研究中的异质性水平较高(I²=99.67%)。在亚组分析中,发现调查工具和方法学质量对总体患病率估计值有显著影响。在印度,约33%的普通公众报告在新冠疫情期间有PD,尽管总体患病率因调查工具和研究质量而异。

结论

随着全球大流行危机似乎逐渐消退,当前的研究结果敲响了警钟,提醒我们要制定务实策略,以减轻类似大流行的负担,并成功应对未来的挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0971/9400349/6115e830e346/IJCM-47-160-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0971/9400349/51e9b5e4c175/IJCM-47-160-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0971/9400349/a846f1b8b1c4/IJCM-47-160-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0971/9400349/6115e830e346/IJCM-47-160-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0971/9400349/51e9b5e4c175/IJCM-47-160-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0971/9400349/a846f1b8b1c4/IJCM-47-160-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0971/9400349/6115e830e346/IJCM-47-160-g003.jpg

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