ABSTRACT
BACKGROUND: During the recent pandemic, Healthcare Professionals (HCPs) presented a significant prevalence of psychological health problems and sleep disturbances. The aim of this study was to assess the impact of COVID-19 on HCPs' sleep and mental stress with a separate analysis for primary care HCPs. METHODS: A cross-sectional observational study with an online anonymized, self-reported questionnaire was conducted in May 2020 (1st wave) and repeated in December 2020 (2nd wave). Patient health questionnaire-4 (PHQ-4), dimensions of anger reactions-5 (DAR-5) scale, 3-item UCLA loneliness scale (LS) and sleep condition indicator (SCI) were used. RESULTS: Overall, 574 participants were included from the 1st wave, 514 from the 2nd and 469 were followed during both. Anxiety and depression were significantly higher during the 2nd wave vs. the 1st (32.8% vs. 12.7%, p < 0.001 and 37.7% vs. 15.8%, p < 0.001). During the 2nd wave, HCPs scored significantly higher in DAR-5 (9.23 ± 3.82 vs. 7.3 ± 3.3, p < 0.001) and LS (5.88 ± 1.90 vs. 4.9 ± 1.9, p < 0.001) with worse sleep quality SCI (23.7 ± 6.6 vs. 25.4 ± 3.2, p < 0.001). This was more evident in primary care HCPs. Significant correlations were found between SCI and PHQ4, DAR5 and LS. CONCLUSION: There is a need to support HCPs' mental health and sleep, especially in those working in primary care.
ABSTRACT
The major Corona Virus Disease 2019 (COVID-19) outbreak caused tens of thousands of diagnosed patients quarantined and treated in designated hospitals in Wuhan, the epicenter of the disease in China. Evidence for the psychological problems of COVID-19 patients was limited. Here we report a cross-sectional study of the mental distress and sleep quality of patients in a single center in Wuhan. The study was based on a combined questionnaire of basic questions designed by the study group, Self-Rating Anxiety Scale (SAS), Self-Rating Depression Scale (SDS), and Pittsburgh Sleep Quality Index (PSQI). On Feb 17th and Mar 14th, two groups of patients were recruited respectively in a designated hospital for COVID-19. Univariate analysis and regression models were used to identify predictors for patients' psychological distress and sleep quality. In total, there were 202 participants in our combined sample. The average SAS, SDS, and PSQI score of participants were 44.2, 51.7, and 9.3 respectively. Factors associated with SAS score include gender, subjective evaluation of disease symptoms, and evaluation of medical staffs' attitude. Gender, age, education level, frequency of contacting with family, subjective knowledge level of COVID 19, and evaluation of medical staffs' attitude are associated with participants SDS score. Factors associated with PSQI score are age and subjective evaluation of disease symptoms.