Abstract
Abstract
Purpose
To explore occupational and non-occupational risk and protective factors for the coronavirus disease 2019 (COVID-19) in healthcare workers (HCWs).
Methods
Serum specimens and questionnaire data were obtained between October 7 and December 16, 2021 from COVID-19-vaccinated HCWs at a quaternary care hospital in Munich, Germany, and were analyzed in the RisCoin Study.
Results
Of 3,696 participants evaluated, 6.6% have had COVID-19 at least once. Multivariate logistic regression analysis identified working in patient care occupations (7.3% had COVID-19, 95% CI 6.4–8.3, Pr = 0.0002), especially as nurses, to be a potential occupation-related COVID-19 risk factor. Non-occupational factors significantly associated with high rates of the disease were contacts to COVID-19 cases in the community (12.8% had COVID-19, 95% CI 10.3–15.8, Pr < 0.0001), being obese (9.9% had COVID-19, 95% CI 7.1–13.5, Pr = 0.0014), and frequent traveling abroad (9.4% had COVID-19, 95% CI 7.1–12.3, Pr = 0.0088). On the contrary, receiving the basic COVID-19 immunization early during the pandemic (5.9% had COVID-19, 95% CI 5.1–6.8, Pr < 0.0001), regular smoking (3.6% had COVID-19, 95% CI 2.1–6.0, Pr = 0.0088), living with the elderly (3.0% had COVID-19, 95% CI 1.0–8.0, Pr = 0.0475), and frequent consumption of ready-to-eat meals (2.6% had COVID-19, 95% CI 1.1–5.4, Pr = 0.0045) were non-occupational factors potentially protecting study participants against COVID-19.
Conclusion
The newly discovered associations between the living situation, traveling as well as dietary habits and altered COVID-19 risk can potentially help refine containment measures and, furthermore, contribute to new mechanistic insights that may aid the protection of risk groups and vulnerable individuals.
Funder
Bundesministerium für Gesundheit
Bayerisches Staatsministerium für Wissenschaft, Forschung und Kunst
Ludwig-Maximilians-Universität München
Publisher
Springer Science and Business Media LLC
Reference41 articles.
1. Center for Systems and Science Engineering at John Hopkins University. COVID-19 dashboard. 2020. https://coronavirus.jhu.edu/map.html (accessed Oct 2, 2023).
2. Our World in Data. Coronavirus (COVID-19) Vaccinations. 2022. https://ourworldindata.org/covid-vaccinations (accessed Sep 21, 2023).
3. European Centre for Disease Prevention and Control. COVID-19 Vaccine Tracker. 2020. https://vaccinetracker.ecdc.europa.eu (accessed Sep 21, 2023).
4. Klaassen F, Chitwood MH, Cohen T, Pitzer VE, Russi M, Swartwood NA, et al. Changes in Population Immunity Against Infection and Severe Disease From Severe Acute Respiratory Syndrome Coronavirus 2 Omicron Variants in the United States Between December 2021 and November 2022. Clin Infect Dis Off Publicat Infect Dis Soc Am. 2023;77:355–61. https://doi.org/10.1093/cid/ciad210.
5. Our World in Data. Mortality Risk of COVID-19. 2022. https://ourworldindata.org/mortality-risk-covid (accessed Sep 21, 2023).