Current status and influential factors for family health management during quarantine: A latent category analysis

Author:

Li Guangming,Li Mengying,Peng Shuzhen,Wang Ying,Ran Li,Chen Xuyu,Zhang Ling,Zhu Sirong,Chen Qi,Wang Wenjing,Xu Yang,Zhang Yubin,Tan XiaodongORCID

Abstract

Objective We aimed to explore factors affecting family health management during home quarantine as well as the effects of variations in family health management (FHM) on individuals’ health status. Methods Using stratified random sampling, 618 families in Wuhan as well as cities within its surrounding provinces were recruited and surveyed online. Latent class variables were extracted from four modules: disinfection, space layout, physical exercise, and food reserves. The analysis was conducted using the poLCA package in R software (v.4.1.0). Chi-squared tests, Fisher’s exact tests, and non-parametric Kruskal–Wallis tests were used to compare groups as appropriate. Results We found an overall questionnaire reliability of 0.77 and a total omega of 0.92, indicating that the survey results were credible. The Bayesian information criterion and Akaike information criterion were used to identified four latent class variables, namely latent non-family health management (18.9%) and latent low, medium, and advanced FHM (30.93%, 29.49%, and 20.59%, respectively). Gender, household income level, body mass index, the presence of a nearby community hospital, and self-rated health status showed statistically significant differences with respect to latent FHM. Moreover, we found a statistically significant difference in emotional reactions when comparing latent advanced and low to mid-level latent FHM. Compared with latent non-family health managers, we detected statistically significant differences in individual energy levels between potential family health managers at latent low and medium levels. Additionally, we found statistically significant differences in individual energy levels between latent advanced and low level family health managers. Conclusions We found that multiple factors, including gender, household income, and body mass index, were correlated with latent FHM during home quarantine. We conclude that FHM can meaningfully improve individuals’ health. Thus, increasing social support for individuals can improve FHM as well as individuals’ health during home quarantine.

Funder

China Association for Science and Technology

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference56 articles.

1. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China;C Huang;The Lancet,2020

2. First-wave COVID-19 transmissibility and severity in China outside Hubei after control measures, and second-wave scenario planning: a modelling impact assessment;K Leung;The Lancet,2020

3. A longitudinal study on the mental health of general population during the COVID-19 epidemic in China;C Wang;Brain Behav Immun,2020

4. WHO declares Public Health Emergency on novel coronavirus—PAHO/WHO | Pan American Health Organization. [cited 17 Jul 2021]. https://www.paho.org/en/news/30-1-2020-who-declares-public-health-emergency-novel-coronavirus.

5. Public health emergencies of international concern: a historic overview;A Wilder-Smith;J Travel Med,2020

Cited by 1 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