Social Isolation and Psychological Distress During the COVID-19 Pandemic: A Cross-National Analysis

Author:

Kim Harris Hyun-soo1ORCID,Jung Jong Hyun2

Affiliation:

1. Department of Sociology, Ewha Womans University, Seoul, Republic of Korea

2. School of Social Sciences, Nanyang Technological University, Singapore

Abstract

Abstract Background and Objectives The coronavirus disease 2019 (COVID-19) pandemic resulted in social isolation globally, creating heightened levels of stress and anxiety. This study investigates the link between social isolation and mental well-being in later life, and how it varies across countries. Research Design and Methods We draw on a subset of older adults from Global Behaviors and Perceptions in the COVID-19 Pandemic, a unique global online survey of 13,660 participants from 62 countries. We use mixed-effects models to analyze the data. Results Social isolation (distancing) significantly predicts poor mental health operationalized as coronavirus-induced distress (p < .01). At the aggregate level, average distress varies positively across countries with higher numbers of coronavirus-related deaths (p < .10) and more fragile state capacity (p < .05), while varying negatively across those with more stringent anticoronavirus policies (p < .05). Finally, we report several cross-level interactions between social isolation and the total number of deaths (p = .025), policy stringency (p = .065), state fragility (p = .061), and globalization index (p = .071). Discussion and Implications Our study shows that a proper understanding of the impact of COVID-19 on the mental well-being of older adults should consider the moderating role of national context.

Publisher

Oxford University Press (OUP)

Subject

Geriatrics and Gerontology,Gerontology,General Medicine

Reference32 articles.

1. Best practice recommendations for estimating cross-level interactions using multilevel modeling;Aguinis;Journal of Management,,2013

2. The effect of number of clusters and cluster size on statistical power and Type I error rates when testing random effects variance components in multilevel linear and logistic regression models;Austin;Journal of Statistical Computation and Simulation,2018

3. From social integration to health: Durkheim in the new millennium;Berkman;Social Science & Medicine,2000

4. The psychological impact of quarantine and how to reduce it: Rapid review of the evidence;Brooks;Lancet,2020

5. Age differences in COVID-19 risk perceptions and mental health: Evidence from a national U.S. survey conducted in March 2020;Bruine de Bruin;The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences.,2020

Cited by 155 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3