Objectives Sleep status can affect the body's immune status and mental health. This study aims to investigate the sleep status of Chinese residents during the outbreak of Coronavirus Disease 2019 (COVID-19) and to evaluate its related risk factors. Methods This research carried out a cross-sectional survey in February 2020 (during the COVID-19 outbreak) to investigate the sleep status of residents nationwide in the form of an online questionnaire. Of the 8151 respondents, 6437 were eventually included in the analysis. Logistic regression is applied to analyze the associated factors affecting residents' sleep quality. Results During the COVID-19 outbreak, the incidence of sleep disturbances in residents was 17.65%. Increased risk of sleep disturbances was found to be associated with older age, female gender, and poor self-reported health status. Moreover, the odds ratios (ORs) were 1.42 (95% CI: 1.1–2.64), 1.35 (95% CI: 1.16–1.59), 5.59 (95% CI: 4.32–7.23), respectively. Those residents who believed COVID-19 had caused a high number of deaths or who thought COVID-19 was not easy to cure were more likely to experience sleep disorders, and the ORs were 1.73 (95% CI: 1.43–2.09), 1.57 (95% CI: 1.29–1.91), respectively. Regular exercise was a protective factor for sleep disturbances, OR = 0.77 (95% CI: 0.63–0.93). Conclusions During the outbreak of COVID-19, nearly one-fifth of participants had sleep disorders. It is necessary to pay more attention to people at high risk for sleep disturbances during the outbreak, adopt effective risk communication methods, enhance residents' rational understanding of COVID-19, and develop practical indoor exercise programs for general public to improve sleep quality.

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Objective To determine the prevalence of and factors associated with dispensing antibiotics without a prescription in online and community pharmacies in China. Methods We conducted a nationwide cross-sectional study of online and community pharmacies in 27 cities and counties in nine provinces in China (selected by multistage sampling) from July 2017 to December 2018. We assessed sale of antibiotics without a prescription and quality of pharmacy services through simulated clients who asked to buy specific antibiotics. We compared the prevalence of sales between online and community pharmacies, and between location and features of community pharmacies. Findings Of 220 online and 675 community pharmacies, 174 (79.1%) and 586 (86.8%) sold antibiotics without a valid prescription, respectively. About half of the online pharmacies had a notice on their website about the illegality of selling prescription-only medicines without a prescription while none of the community pharmacists had. More online pharmacies without this notice dispensed antibiotics without a valid prescription ( P < 0.001). Antibiotics’ sale without a prescription was significantly less prevalent in provincial capital cities (71.6%; 161/225) than prefectural-level cities (95.1%; 214/225) and counties (93.8%; 211/225; P < 0.001). Most pharmacy staff did not ask for important information from clients before dispensing the antibiotic or provide them with necessary information about the antibiotic. Conclusion Given the high proportion of sales of prescription-only medicines without a prescription, there is a need to strengthen enforcement of regulations, improve public education on antibiotics, train pharmacy staff and consolidate public involvement in antibiotic stewardship in retail pharmacies in China.

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BackgroundSex and gender are crucial variables in coronavirus disease 2019 (COVID-19). We sought to provide information on differences in clinical characteristics and outcomes between male and female patients and to explore the effect of estrogen in disease outcomes in patients with COVID-19.MethodIn this retrospective, multi-center study, we included all confirmed cases of COVID-19 admitted to four hospitals in Hubei province, China from Dec 31, 2019 to Mar 31, 2020. Cases were confirmed by real-time RT-PCR and were analyzed for demographic, clinical, laboratory and radiographic parameters. Random-effect logistic regression analysis was used to assess the association between sex and disease outcomes.ResultsA total of 2501 hospitalized patients with COVID-19 were included in the present study. The clinical manifestations of male and female patients with COVID-19 were similar, while male patients have more comorbidities than female patients. In terms of laboratory findings, compared with female patients, male patients were more likely to have lymphopenia, thrombocytopenia, inflammatory response, hypoproteinemia, and extrapulmonary organ damage. Random-effect logistic regression analysis indicated that male patients were more likely to progress into severe type, and prone to ARDS, secondary bacterial infection, and death than females. However, there was no significant difference in disease outcomes between postmenopausal and premenopausal females after propensity score matching (PSM) by age.ConclusionsMale patients, especially those age-matched with postmenopausal females, are more likely to have poor outcomes. Sex-specific differences in clinical characteristics and outcomes do exist in patients with COVID-19, but estrogen may not be the primary cause. Further studies are needed to explore the causes of the differences in disease outcomes between the sexes.

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