Author: Kim, Hyunju; Hegde, Sheila; LaFiura, Christine; Raghavan, Madhunika; Luong, Eric; Cheng, Susan; Rebholz, Casey M; Seidelmann, Sara B
Title: COVID-19 illness in relation to sleep and burnout Cord-id: 44anlvoh Document date: 2021_3_22
ID: 44anlvoh
Snippet: BACKGROUND: Sleep habits and burnout have been shown to be associated with increase in infectious diseases, but it is unknown if these factors are associated with risk of COVID-19. We assessed whether sleep and self-reported burnout may be risk factors for COVID-19 among high-risk healthcare workers (HCWs). METHODS: From 17 July to 25 September 2020, a web-based survey was administered to HCWs in six countries (France, Germany, Italy, Spain, UK, USA) with a high frequency of workplace exposure.
Document: BACKGROUND: Sleep habits and burnout have been shown to be associated with increase in infectious diseases, but it is unknown if these factors are associated with risk of COVID-19. We assessed whether sleep and self-reported burnout may be risk factors for COVID-19 among high-risk healthcare workers (HCWs). METHODS: From 17 July to 25 September 2020, a web-based survey was administered to HCWs in six countries (France, Germany, Italy, Spain, UK, USA) with a high frequency of workplace exposure. Participants provided information on demographics, sleep (number of sleep hours at night, daytime napping hours, sleep problems), burnout from work and COVID-19 exposures. We used multivariable linear and logistic regression models to evaluate the associations between sleep, burnout and COVID-19. RESULTS: Among 2884 exposed HCWs, there were 568 COVID-19 cases and 2316 controls. After adjusting for confounders, 1-hour longer sleep duration at night was associated with 12% lower odds of COVID-19 (p=0.003). Daytime napping hours was associated with 6% higher odds, but the association varied by countries, with a non-significant inverse association in Spain. Compared with having no sleep problems, having three sleep problems was associated with 88% greater odds of COVID-19. Reporting burnout ‘every day’ was associated with greater odds of COVID-19 (OR: 2.60, 95% CI 1.57 to 4.31, p trend across categories=0.001), longer duration (OR: 2.98, 95% CI 1.10 to 8.05, p trend=0.02) and severity (OR: 3.26, 95% CI 1.25 to 8.48, p trend=0.02) compared with reporting no burnout. These associations remained significant after adjusting for frequency of COVID-19 exposures. CONCLUSIONS: In six countries, longer sleep duration was associated with lower odds of COVID-19, but the association with daytime nap may not be consistent across countries. Greater sleep problems and high level of burnout were robustly associated with greater odds of COVID-19. Sleep and burnout may be risk factors for COVID-19 in high-risk HCWs.
Search related documents:
Co phrase search for related documents- acute infectious disease and logistic regression model: 1, 2, 3
- acute infectious disease and lung disease: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
- acute infectious disease and lung infection: 1, 2, 3, 4, 5, 6, 7, 8, 9
- adaptation translation and logistic regression: 1
- local regulation and lung infection: 1, 2
- logistic regression and long duration: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16
- logistic regression and long duration sleep: 1, 2
- logistic regression and low oxygen saturation: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18
- logistic regression and lung disease: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- logistic regression and lung infection: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14
- logistic regression model and long duration: 1, 2, 3
- logistic regression model and low oxygen saturation: 1
- logistic regression model and lung disease: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
- logistic regression model and lung infection: 1, 2, 3, 4
- long duration and low oxygen saturation: 1
- long duration and lung disease: 1
- low oxygen saturation and lung disease: 1, 2
Co phrase search for related documents, hyperlinks ordered by date