Search

Background: Wuhan was the epicenter of the Coronavirus Disease 2019 (COVID-19), outbreak in China. We aimed at surveying the general public in China to better understand their levels of psychological state and its influencing factors after the Wuhan shutdown on January 23. Methods: The cross-sectional survey was conducted online and 4,701 respondents participated in this survey. Of them, 3,803 respondents were considered for final analysis. Data on subjective indicators of daily life changes were collected, and individual scores on changes in anxiety, depression, and stress were tested by 8-item, 11-item, and 6-item questionnaires, respectively. Results: Multivariable regression analyses showed that living in the rural areas, living in the other regions except Hubei, and higher education were independent correlates of less negative emotions. Besides, the level of attention, self-assessed infection risk, impact on the daily life and mental health help-seeking tended to be positively associated with the scores of anxiety, depression, and stress. Conclusions: City of residence, education, marital status, monthly income, level of attention, self-assessed infection risk, impact on daily life and mental health help-seeking were important correlates of anxiety, depression, and stress scores. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Introduction: Facing a grim public challenge caused by COVID-19, many countries decide to live with it for a long time, whereas China continues to enforce precise community-based public health management. This paper summarized China's approaches and aimed to provide illumination for health services decision-makers. Methods: We systematically reviewed the construction of precise community-based public health management from three aspects: organizational structure, service content, and flexible adjustment, and summed up four essential elements for success. Then, we selected 9 typical countries to compare their non-pharmaceutical strategies and daily new cases. Results: China's community-based public health management has a clear four-level organizational structure. It has worked on infection control, surveillance for new cases, management of contacts, health education, medicare service, outdoor environment disinfection, and living material supply in different stages, and the daily new confirmed cases in Wuhan sustainedly declined to zero. The outbreak was relatively well contained in China, Italy, and Germany as of June 2020, as they adopted stricter movement restrictions, social distance, and patient tracking. Conclusion: China's experience has proved the feasibility of non-pharmaceutical strategies responding to COVID-19. The precise community-based public health management strategy can be considered, as it's pretty much the same as public health and social measures (PHSMs) advocated by WHO. [ABSTRACT FROM AUTHOR]