Factors associated with poor mental health outcomes in nurses in COVID-19-designated hospitals in the postepidemic period in Guangdong Province: a cross-sectional study.

OBJECTIVE: The early days of the COVID-19 pandemic placed enormous pressure and subsequent negative psychological problems on nurses, but at this stage of the year-long COVID-19 outbreak, the level of stress and negative emotions that nurses experience is unclear. Our study attempted to assess the factors influencing mental health status in nurses during the postepidemic period of COVID-19. DESIGN: Cross-sectional study. SETTING: COVID-19 designated hospitals. PARTICIPANTS: 1284 Chinese nurses. MAIN OUTCOME MEASURES: Electronic questionnaires, including the Chinese version of the Perceived Stress Scale (CPSS) and Symptom Checklist-90 (SCL-90), were distributed for self-evaluation. Regression analysis was used to analyse the associated factors of psychological stress among variables such as age, years of nursing experience, weekly working hours, anxiety symptoms, somatisation symptoms and compulsive symptoms. RESULTS: A total of 1284 respondents from COVID-19-designated hospitals in Guangdong Province were studied. The average CPSS score for all respondents was 22.91±7.12. A total of 38.5% of respondents scored ≥26 on the CPSS, indicating a significant degree of psychological stress. Nurses with high psychological stress had higher levels of anxiety symptoms (41.7% vs 8.0%), somatisation symptoms (31.4% vs 7.7%) and compulsion symptoms (62.3% vs 27.0%) than nurses with low psychological stress. Stepwise multiple linear regression revealed that weekly working hours, years of nursing experience, anxiety symptoms, somatisation symptoms and compulsion symptoms had a linear relationship with the participants' psychological stress scores. CONCLUSION: Nurses experienced significant physical and psychological risk while working in the postepidemic period. Our findings suggest that nurses still need support to protect their physical and mental health.

Socioeconomic Determinants of Melanoma-Related Health Literacy and Attitudes Among College Students in China: A Population-Based Cross-Sectional Study.

Objectives: To investigate the association of gender, ethnicity, living region, and socioeconomic status (SES) with health literacy and attitudes toward nevi and melanoma in Chinese adolescents and to examine whether health literacy mediates the association of SES with attitudes. Study Design: A multicenter cross-sectional study was conducted among newly enrolled college students. First-year students were recruited from five universities in different regions of China in 2018 using the cluster sampling method. The observers were blinded to the participants. Methods: Health literacy and attitudes were measured using a previously validated tool (Nevus and Melanoma Health Literacy and attitudes Test). SES was measured by annual family income and parental highest educational level. Nonparametric test was used to examine the association of participants' characteristics with health literacy and attitudes. Two-level generalized linear model with logarithm link function and Gamma distribution was used individually for SES. The mediation effect model was used to examine the mediation effect of health literacy. Results: A total of 21,086 questionnaires were completed by college students with a mean age of 18.0 ± 0.8 years. The mean scores of health literacy and attitudes were 9.83 ± 7.46 (maximum score: 28) and 16.98 ± 2.92 (maximum score: 20), respectively. Female, Han nationality, annual family income, and parental educational levels were positively associated with health literacy and attitudes. Regional differences showed different effects on health literacy and attitudes. A mediation model showed that literacy mediated the association of SES with attitudes toward nevi and melanoma. Health literacy mediated ~30-50% of the association of SES with attitudes. Conclusions: Melanoma-related health literacy among Chinese college students is generally insufficient and needs to be improved. Targeted and personalized health education for improving health literacy related to nevi and melanoma may improve the general population's attitudes and further promote health-related behavior to prevent and identify early-stage melanoma.

A Web-Based Survey on Factors for Unvaccination and Adverse Reactions of SARS-CoV-2 Vaccines in Chinese Patients with Psoriasis.

PURPOSE: Vaccination is one of the most important strategy to prevent infections and control epidemics, but it also raises concerns about safety in patients receiving treatments. This study aimed to investigate the rate and factors for unvaccination, as well as adverse reactions and deterioration of disease after SARS-CoV-2 vaccination in psoriatic patients. METHODS: A web-based questionnaire survey on SARS-CoV-2 vaccination, adverse reactions, and self-reported change of disease condition after vaccination in patients with psoriasis was conducted. Demographic, clinical, and psychological data were collected. Multivariable logistic regression was used in the estimation of associations. RESULTS: A total of 788 psoriatic patients were investigated, and 68.9% reported SARS-CoV-2 vaccination. Younger age, use of interleukin-17 inhibitors, and symptoms of anxiety were associated with unvaccination. The incidence of overall adverse reactions after vaccination was 30.8%, and no severe adverse reaction was reported. The most common local and systemic adverse reactions were pain at the injection site and fatigue, respectively. Most patients reported no change in psoriasis after vaccination, while 16.6% and 4.4% reported slight and significant deteriorations of the disease, respectively. Nonadherence to treatment, symptoms of anxiety and depression, and perceived stress were associated with self-reported deterioration of psoriasis after vaccination. CONCLUSION: While a favorable safety profile of SARS-CoV-2 vaccines is observed, receiving biologic treatment is factor for unvaccination in patients with psoriasis. Deterioration of psoriasis reported by a small proportion of patients is partially attributable to mental and behavioral factors.

The relationship between time to a high COVID-19 response level and timing of peak daily incidence: an analysis of governments' Stringency Index from 148 countries.

BACKGROUND: The transmission dynamics and severity of coronavirus disease 2019 (COVID-19) pandemic is different across countries or regions. Differences in governments' policy responses may explain some of these differences. We aimed to compare worldwide government responses to the spread of COVID-19, to examine the relationship between response level, response timing and the epidemic trajectory. METHODS: Free publicly-accessible data collected by the Coronavirus Government Response Tracker (OxCGRT) were used. Nine sub-indicators reflecting government response from 148 countries were collected systematically from January 1 to May 1, 2020. The sub-indicators were scored and were aggregated into a common Stringency Index (SI, a value between 0 and 100) that reflects the overall stringency of the government's response in a daily basis. Group-based trajectory modelling method was used to identify trajectories of SI. Multivariable linear regression models were used to analyse the association between time to reach a high-level SI and time to the peak number of daily new cases. RESULTS: Our results identified four trajectories of response in the spread of COVID-19 based on when the response was initiated: before January 13, from January 13 to February 12, from February 12 to March 11, and the last stage-from March 11 (the day WHO declared a pandemic of COVID-19) on going. Governments' responses were upgraded with further spread of COVID-19 but varied substantially across countries. After the adjustment of SI level, geographical region and initiation stages, each day earlier to a high SI level (SI > 80) from the start of response was associated with 0.44 (standard error: 0.08, P < 0.001, R2 = 0.65) days earlier to the peak number of daily new case. Also, each day earlier to a high SI level from the date of first reported case was associated with 0.65 (standard error: 0.08, P < 0.001, R2 = 0.42) days earlier to the peak number of daily new case. CONCLUSIONS: Early start of a high-level response to COVID-19 is associated with early arrival of the peak number of daily new cases. This may help to reduce the delays in flattening the epidemic curve to the low spread level.

Report 30: The COVID-19 Epidemic Trends and Control Measures in Mainland China

From the Introduction: The Imperial College London COVID-19 [coronavirus disease 2019] Response Team initiated activities of data collation in mid-January, to understand the COVID-19 epidemic in China and its potential impact on other countries. The Imperial Team, together with volunteers, made considerable efforts to collate aggregated data as well as individual patient information from publicly available, national and local situation reports published by health authorities in China. Part of these collated data have been used to inform transmission dynamics and epidemiology of COIVD-19 in several studies of the Team, including disease severity and fatality, phylodynamics in Shandong, and the association between inner-city movement and transmission. We additionally reviewed control measures, school reopening, and work resumption that may relate to the trends across provinces in China. [...] In this report, we publish the collated data and conduct a descriptive analysis of the subnational epidemic trends and interventions. Drawing on epidemic progression and response measures in Chinese provinces affected by COVID-19 early on may provide insights for policy planning in other countries.COVID-19 (Disease);Epidemiology;Public health