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- Title
Perceived stress and influencing factors for the people at high risk to COVID-19 in centralized quarantine camps in Wenzhou, China.
- Authors
Zhou, Yi-Wei; Zheng, Jian-Yong; Shan, Chun-Yan; Yang, Hong-Sheng; Su, Yi-Suo; Wang, Deborah Baofeng; Ni, Jian-Xiao; Lan, Liu-Jie; Lian, Xin-Ze; Zhou, Zu-Mu
- Abstract
Background This study was designed to assess stress levels and related factors during the coronavirus disease 2019 (COVID-19) epidemic among individuals in centralized quarantine camps in Wenzhou, China. Methods The survey was conducted using a questionnaire. The questionnaire included questions on sociodemographic characteristics, life events related to the COVID-19 and stressful situations, as well as Perceived Stress Scale-14. Participants included close contacts of patients with COVID-19 or at-risk individuals in quarantine camps. Multivariate logistic regression was used to analyze different factors affecting perceived stress. Results The prevalence of high stress among quarantine camp participants was 37.45%. Of the 881 respondents, 51.99% were concerned about the difficulty of controlling the epidemic, 46.20% were concerned about the health of themselves and their family members and 39.61% were concerned about not being able to leave their homes. Multivariate logistic regression analysis revealed statistically significant differences in the prevalence of stress among different groups for certain variables, including occupation, education level and knowledge of COVID-19 (all P < 0.05). Our study found that at-risk individuals and close contacts experienced high levels of stress in quarantine camps during the COVID-19 pandemic. Conclusions These findings suggest that centralized quarantine policies should be adapted and optimized to minimize negative psychological effects on quarantined individuals.
- Subjects
CHINA; RISK assessment; HEALTH literacy; RESEARCH funding; QUESTIONNAIRES; MULTIPLE regression analysis; DESCRIPTIVE statistics; CHI-squared test; CAMPS; ODDS ratio; PSYCHOLOGICAL stress; SOCIODEMOGRAPHIC factors; INFECTIOUS disease transmission; DATA analysis software; CONFIDENCE intervals; COVID-19; COVID-19 pandemic; EDUCATIONAL attainment; EMPLOYMENT
- Publication
Journal of Public Health, 2024, Vol 46, Issue 3, pe430
- ISSN
1741-3842
- Publication type
Article
- DOI
10.1093/pubmed/fdae110