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(1) Background: To analyze factors of people’s wearing masks based on two online surveys, and to explore whether living area factor or quarantine status could have an impact on mask-wearing. (2) Methods: Chi-square test and logistic regression analysis were used to explore the influence of different factors on people’s behavior of mask-wearing in the present study. R3.6.2 was used for data cleaning, SPSS 26.0 was used to conduct corresponding statistical analysis, and a two-sided p-value less than 0.05 was considered to be statistically significant. (3) Results: According to our study, the proportion of participants who wore face masks was higher than 90.0% in both surveys. Single factor analysis showed that the proportion of people wearing face masks raised with the increase of people’s education, age, and monthly income (Yuan) in both surveys. People who lived in rural areas were less likely to wear masks. Mask-wearing rate was lower in the isolated individuals than in the non-isolated ones. (4) Conclusions: Masks-wearing is one of the effective measures for COVID-19 pandemic prevention and control. After the Chinese government made wearing face masks mandatory in public places, most residents in China had developed the habit of wearing masks, contributing to the high rate of masks-wearing in China. However, people in rural areas need to raise their awareness of wearing masks. Meanwhile, the mask-wearing of the isolated individuals needs to be enhanced.

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Wearable mobile health (mHealth) technologies are a convenient and cost-effective community-based intervention to improve management of hypertension in resource-limited populations. This study was designed to evaluate user characteristics of blood pressure (BP) wearable technology among a community-based population in a rural area of China. During the period of April through July 2018, a self-monitoring intervention program for hypertension control was implemented in a remote area of central China. Participants completed a cross-sectional survey which included demographic characteristics, Technology Fluency, the Compliance of Hypertensive Patients’ Scale, and the Health-related Quality of Life Survey. Participants were given a wearable BP-monitoring device which wirelessly uploaded data and monitored for 1 month. Participants (n = 317) were 64.57 years (SD = 11.68), 53.94% were male. During the 30-day monitoring, 52.68% of the sample uploaded BP wristband data daily were identified as “BP device users.” No differences existed between device users and nonusers related to cardiovascular health measurements, technology fluency, and health-related quality of life. Device users were more likely to report a higher level of hypertension compliance. Individuals reporting a higher level of compliance in hypertension management are more likely to interact with a wearable BP-monitoring device than persons with lower levels of compliance. Further evaluation of mobile health systems involving a wearable device as part of a hypertension management program is needed in a resource-limited community-based setting.

Background Since the outbreak of Coronavirus Disease 2019 (COVID-19) in December 2019, community non-medical anti-epidemic workers have played an important role in the prevention of COVID-19 in China. The present study aimed to assess sleep quality and its associated factors among community non-medical anti-epidemic workers. Method A survey was conducted using anonymous online questionnaire to collect information from 16 March 2020 to 24 March 2020. A total of 474 participants were included, with a 94.23% completion rate. The questionnaire contained demographic data, physical symptoms, and contact history with COVID-19. The researchers assessed perceived social support by the Multidimensional Scale of Perceived Social Support (MSPSS), assessed perceived stress by the Perceived Stress Scale (PSS), and measured sleep quality by the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Results Among the participants, 46.20% reported poor sleep quality. A binary logistic regression revealed that having educational background of junior college or above, being a member of the police force, having contacted individuals with confirmed or suspected COVID-19 infection, having chronic disease(s), having illness within 2 weeks, and having high or moderate perceived stress were significant factors associated with an increased risk of poor sleep quality. Conclusion Demographic factors, physical symptoms, history of contact with COVID-19, and perceived stress are significantly associated with poor sleep quality of community non-medical anti-epidemic workers. Thus, targeting these factors might be helpful in enhancing sleep quality of community workers.

Centenarians, defined as the population aged 100 years or over, have been a symbol of longevity in most countries historically. 1 According to the Brocklehurst's textbook, 2 it is estimated there will be 850 000 centenarians living in the United States in 2050. Similarly, as an ageing society, there were 47 000 centenarians in China in 2012, 3 and the number of older adults (OAs) aged 60 or above is expected to reach 483 million, 4 representing 1/4 of the older people worldwide. 5 Along with rapid ageing, the population of Chinese OAs suffering from dementia has been projected to rise from 9 million in 2010 to 18 million by 2030. 6

Background Previous studies have concentrated on predictors of exceptional longevity, however, relevant studies have rarely extended to other fields of functioning. To date, little is known about what contributes to the experience of negative emotion in a very old population. Objective We aimed to provide a comprehensive key domain of functioning, including physical, cognitive, behavior, and negative emotion in older adults (OAs), followed by determination of predictors of negative emotion. Methods Data were collected from a nationally representative sample of 2570 Chinese OAs (aged 60 and above) from the 2014 wave of the Chinese Longitudinal Healthy Longevity Survey. Physical function was assessed using activities of daily living (ADL) and instrumental activities of daily living (IADL) measures. Cognitive function was assessed by the Modified Mini-Mental State Examination (mMMSE). Participants’ behavior included smoking, drinking, exercise, physical labor, and social activities. Negative emotion was assessed using four items on affective experiences to create an index of emotional well-being. The associations between various covariates and multiple health outcomes were examined using Pearson’s correlation. Multiple linear regressions were established to verify significant variables associated with respondents’ negative emotion. Results The mean age was 80.20 years (SD=8.60). The mean ADL total score of the sample was 17.78 (SD=0.89), mean IADL total score was 21.93 (SD=3.69), the mean mMMSE total score was 21.63 (SD=2.23), the mean negative emotion total score was 8.89 (SD=2.64). Multiple linear regression analyses revealed that negative emotion was associated with self-perceived low economic status, poor self-rated health condition, poor sleep quality, low IADL function, less regular exercising, living in rural, and being female. Conclusion Limited physical functioning and social resources in rural residence may restrict the outpouring of emotion in OAs. Nevertheless, further intensive studies are warranted to provide guidance for the development of better living environment for this elderly population.

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