Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan, Hubei, China.
Department of Health Management, The People's Hospital of Huangpi, Wuhan, Hubei, China.
PLoS One. 2022 Apr 21;17(4):e0265406. doi: 10.1371/journal.pone.0265406. eCollection 2022.
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.
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.
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.
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.
本研究旨在探讨家庭在居家隔离期间进行健康管理的影响因素，以及家庭健康管理（FHM）变化对个体健康状况的影响。
采用分层随机抽样方法，选取武汉市及其周边省份的 618 个家庭进行在线调查。从四个模块中提取潜在类别变量：消毒、空间布局、体育锻炼和食物储备。使用 R 软件（v.4.1.0）中的 poLCA 包进行分析。适当使用卡方检验、Fisher 确切检验和非参数 Kruskal-Wallis 检验进行组间比较。
我们发现问卷的总可靠性为 0.77，总 ω 为 0.92，表明调查结果是可信的。贝叶斯信息准则和赤池信息量准则用于识别四个潜在类别变量，即潜在非家庭健康管理（18.9%）和潜在低、中、高级 FHM（30.93%、29.49%和 20.59%）。性别、家庭收入水平、体重指数、附近社区医院的存在以及自我评估的健康状况在潜在的 FHM 方面存在统计学差异。此外，我们发现潜在高级和低、中水平的 FHM 之间的情绪反应存在统计学差异。与潜在非家庭健康管理者相比，我们在潜在低和中水平的家庭健康管理者中发现了个体能量水平的统计学差异。此外，我们还发现潜在高级和低水平的家庭健康管理者之间的个体能量水平存在统计学差异。
我们发现性别、家庭收入和体重指数等多种因素与居家隔离期间的潜在 FHM 相关。我们得出结论，FHM 可以显著改善个体的健康状况。因此，增加对个体的社会支持可以改善居家隔离期间的 FHM 和个体健康。
