The Underlying Structure of Preventive Behaviors and Related Factors During the COVID-19 Pandemic: A Comprehensive Network Analysis

Author:

Liang Yan1ORCID,Zhu Qianqian2,Yang Yuqi3,Gu Xiaoqing4,Yan Yuge2,Gu Jie56,Huang Jiaoling2ORCID

Affiliation:

1. Department of Fundamental Nursing, School of Nursing, Fudan University , Shanghai , China

2. Department of Social Medicine and Health Management, School of Public Health, Shanghai Jiao Tong University School of Medicine , Shanghai , China

3. Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University , Shanghai , China

4. Department of Community Health, Xidu Community Health Service Center of Fengxian District , Shanghai , China

5. Department of General Practition, Zhongshan Hospital Fudan University , Shanghai , China

6. Department of General Practition, Zhongshan Hospital International Medical Center , Shanghai , China

Abstract

Abstract Background Various strategies against COVID-19 have been adopted in different countries, with vaccination and mask-wearing being widely used as self-preventive interventions. However, the underlying structure of these behaviors and related factors remain unclear. Purpose In this study, we aimed to explore the network structure of preventive behaviors during the COVID-19 pandemic and their underlying factors, incorporating age and sex in the network. Methods We used a multi-center sample of 20,863 adults who were vaccinated against COVID-19 in China between April 1, 2021, and June 1, 2021. Networks were estimated using unregularized partial correlation models. We also estimated the accuracy and stability of the network. Results The preventive behaviors related to network factors revealed that self-initiated vaccination was more connected with cognition factors, and mask-wearing was more connected with personal profiles. The two clusters were linked through information-seeking and political beliefs. Moreover, self-initiated vaccination was negatively connected with vaccine hesitancy and concerns about COVID-19 vaccines and positively connected with trust in the vaccines, pandemic-related altruism, political beliefs, and being married. Mask-wearing was negatively connected with being a professional/white collar worker and higher education level and positively connected with regular physical examination, self-rated health, migration, being married, and better family relationships. Incorporation of age and sex into the network revealed relevant associations between age and mask-wearing and age and self-initiated vaccination. The network was highly accurately estimated. The subset bootstrap showed that the order of node strength centrality, betweenness, and closeness were all stable. The correlation stability coefficient (CS-coefficient) also showed the stability of this estimate, with 0.75 for node strength, 0.75 for betweenness, and 0.67 for closeness. Conclusions The internal structures of vaccination and mask-wearing behaviors were quite different, the latter of which were mainly affected by socioeconomic status and health-related behaviors and the former by knowledge about vaccines and political beliefs. Information-seeking and family relationships were the bridge factors connecting these two self-preventive behavior clusters, suggesting the direction of future efforts.

Publisher

Oxford University Press (OUP)

Subject

Psychiatry and Mental health,General Psychology

Reference60 articles.

1. COVID-19 pandemic - An African perspective;Lone;Emerg Microbes Infect,2020

2. Effectiveness of Covid-19 vaccines against the B16172 (Delta) Variant;Bernal;N Engl J Med.,2021

3. Covid-19: Vaccination reduces severity and duration of long covid, study finds;Taylor;BMJ,2023

4. Vaccinations against COVID-19 May have averted up to 140,000 deaths in the United States;Gupta;Health Aff (Millwood).,2021

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