Perceived stress and its impact on the health behavior of Chinese residents during the COVID-19 epidemic: An Internet-based cross-sectional survey.

Background and Aims: The novel coronavirus disease 2019 (COVID-19) causes severe respiratory illnesses, following exposure to air-borne droplets or direct contact, posing a great threat to human life. This study aimed to investigate perceived stress and its correlation with the health behaviors of Chinese residents during the COVID-19 epidemic. Methods: An Internet survey was conducted among 2449 residents in 20 provinces of China on residents' perceived stress, perception of COVID-19, and health behaviors. SAS 9.4 was used to analyze the relationship between health behaviors and perceived stress, and logistic regression was used to explore the factors influencing health risk stress. Results: The participants' perceived stress score was 22.25 ± 7.2 (total 56), and the incidence of health risk stress was 39.89% (977/2449). Females, students, and medical staff were at high risk. Health risk stress refers to a level of stress that is hazardous to health (score over 25). Perceived stress increased, while the frequency of health behaviors decreased. Age, perception of susceptibility to COVID-19, life-threatening level of COVID-19, perception of the importance of home isolation, and perception of the difference between a common cold and COVID-19 were positively related to the occurrence of health risk stress. Conclusions: A negative correlation was found between health behaviors and perceived stress. Therefore, it is of great significance to provide psychological interventions for those who are experiencing health risk stress and to promote their health behaviors.

Perceived stress and its impact on the health behavior of Chinese residents during the COVID‐19 epidemic: An Internet‐based cross‐sectional survey

Background and Aims The novel coronavirus disease 2019 (COVID‐19) causes severe respiratory illnesses, following exposure to air‐borne droplets or direct contact, posing a great threat to human life. This study aimed to investigate perceived stress and its correlation with the health behaviors of Chinese residents during the COVID‐19 epidemic. Methods An Internet survey was conducted among 2449 residents in 20 provinces of China on residents' perceived stress, perception of COVID‐19, and health behaviors. SAS 9.4 was used to analyze the relationship between health behaviors and perceived stress, and logistic regression was used to explore the factors influencing health risk stress. Results The participants' perceived stress score was 22.25 ± 7.2 (total 56), and the incidence of health risk stress was 39.89% (977/2449). Females, students, and medical staff were at high risk. Health risk stress refers to a level of stress that is hazardous to health (score over 25). Perceived stress increased, while the frequency of health behaviors decreased. Age, perception of susceptibility to COVID‐19, life‐threatening level of COVID‐19, perception of the importance of home isolation, and perception of the difference between a common cold and COVID‐19 were positively related to the occurrence of health risk stress. Conclusions A negative correlation was found between health behaviors and perceived stress. Therefore, it is of great significance to provide psychological interventions for those who are experiencing health risk stress and to promote their health behaviors.

Urban and Rural Disparities of Personal Health Behaviors and the Influencing Factors During the COVID-19 Outbreak in China: Based on an Extended IMB Model.

OBJECTIVE: Health behavior was conducive to control the coronavirus disease (COVID-19) epidemic. This study aimed to determine the differences in health behaviors and related factors among rural and urban residents in China. METHODS: From February 14 to 22, 2020, during the peak of the COVID-19 epidemic in China, a total of 2449 participants (1783 (72.81%) urban residents and 666 (27.19%) rural residents) were recruited by snowball sampling on WeChat and QQ social platforms, both owned by Tencent. Data were collected through the Web-questionnaire guided by an information-motivation-behavioral skills model. The multiple-group structural equation model was applied to analyze the factors. RESULTS: Rural residents had lower health behavior scores than urban residents, even after adjusting demographic characteristics (33.86 vs 34.29, P = 0.042; total score was 40). Motivational, behavioral skills, and stress had direct positive and negative influences on health behaviors of urban and rural residents. Information and positive perception of interventions had direct effects on health behaviors in rural residents, but not in urban residents. All the factors were mediated by behavioral skills in rural and urban residents. CONCLUSIONS: This study suggests that the government should pay attention to substantial rural and urban disparities and implement different COVID-19 prevention and intervention policies for health behaviors targeting rural and urban residents.

Effects of policies and containment measures on control of COVID-19 epidemic in Chongqing.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is an emerging, rapidly evolving disease that spreads through the respiratory system and is highly contagious. In March 2020, the World Health Organization declared the COVID-19 outbreak a pandemic. In China, the pandemic was controlled after 2 mo through effective policies and containment measures. Describing the detailed policies and containment measures used to control the epidemic in Chongqing will provide a reference for the prevention and control of COVID-19 in other areas of the world. AIM: To explore the effects of different policies and containment measures on the control of the COVID-19 epidemic in Chongqing. METHODS: Epidemiological data on COVID-19 in Chongqing were prospectively collected from January 21 to March 15, 2020. The policies and prevention measures implemented by the government during the epidemic period were also collected. Trend analysis was performed to explore the impact of the main policy measures on the effectiveness of the control of COVID-19 in Chongqing. RESULTS: As of March 15, the cumulative incidence of COVID-19 in Chongqing was 1.84/100000 (576 cases) and the infection fatality rate was 1.04% (6/576). The spread of COVID-19 was controlled by effective policies that involved establishing a group for directing the COVID-19 epidemic control effort; strengthening guidance and supervision; ensuring the supply of daily necessities and medical supplies and equipment to residents; setting up designated hospitals; implementing legal measures; and enhancing health education. Medical techniques were implemented to improve the recovery rate and control the epidemic. Policies such as "the lockdown of Wuhan", "initiating a first-level response to major public health emergencies", and "implementing the closed management of residential communities" significantly curbed the spread of COVID-19. Optimizing the diagnosis process, shortening the diagnosis time, and constructing teams of clinical experts facilitated the provision of "one team of medical experts for each patient" treatment for severe patients, which significantly improved the recovery rate and reduced the infection fatality rate. CONCLUSION: The prevention policies and containment measures implemented by the government and medical institutions are highly effective in controlling the spread of the epidemic and increasing the recovery rate of COVID-19 patients.