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

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

doi:10.1371/journal.pone.0265406

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

PLoS One. 2022 Apr 21;17(4):e0265406. doi: 10.1371/journal.pone.0265406. eCollection 2022.

Authors

Guangming Li¹, Mengying Li¹, Shuzhen Peng², Ying Wang³, Li Ran¹, Xuyu Chen¹, Ling Zhang¹, Sirong Zhu¹, Qi Chen¹, Wenjing Wang¹, Yang Xu^{4

5}, Yubin Zhang⁶, Xiaodong Tan¹

Affiliations

¹ Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan, Hubei, China.
² Department of Health Management, The People's Hospital of Huangpi, Wuhan, Hubei, China.
³ Department of Hospital Infection Management, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
⁴ Department of Geography, The College of Geography and Environment, Henan University, Kaifeng, Henan, China.
⁵ Department of Geography, National Earth System Science Data Center, National Science & Technology Infrastructure of China, Beijing, China.
⁶ Department of Health management, Wuchang Center for Disease Control and Prevention, Wuhan, Hubei, China.

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Bayes Theorem
Family Health*
Humans
Quarantine*
Reproducibility of Results
Social Support

Grants and funding

This study was supported by the China Association for Science and Technology in the form of a grant awarded to XT (20200608CG111306). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.