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<title>Impact of age on the transmission of SARS-CoV-2 in healthcare workers</title>
<creator>Amo Merino, María Piedad Del</creator>
<creator>Abadia Otero, Jesica</creator>
<creator>Merino Velasco, Irene</creator>
<creator>Lorenzo Fernández, Yolanda</creator>
<creator>García-Cruces Méndez, Jesús</creator>
<creator>Eiros Bouza, José María</creator>
<creator>Dominguez-Gil González, Marta</creator>
<creator>Corral Gudino, Luis</creator>
<description>Producción Científica</description>
<description>Background&#xd;
The incidence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV‑2) infection was highest among older adults early in the COVID-19 pandemic; however, this pattern was later reversed with young adults showing the highest incidence. The aim of this study was to identify risk factors in healthcare workers (HCWs) associated with this evolution.&#xd;
Methods&#xd;
&#xd;
We conducted a survey nested within a prospective cohort study of 680 HCWs from a tertiary referral public hospital who received 2 doses of SARS-CoV‑2 vaccine in January and February 2021 (VACCICO-VAO cohort). In October 2022 all participants were invited to participate in a survey. Risk factors were tested for association with COVID-19 ever, the number of COVID-19 episodes, and the time to the first episode.&#xd;
Results&#xd;
Among 350 respondents (51% response rate, 90% female, mean age 48.1 years), 323 COVID-19 episodes were diagnosed during the study period. Multivariable analysis revealed that age &lt; 35 years vs. > 50 years (odds ratio, OR 2.12, 95% confidence interval, CI 1.27–3.51; P = 0.004) and not maintaining social distance at social events (OR: 1.82, 95% CI: 1.16–3.19; P = 0.011) were associated with a higher risk of COVID-19. Age &lt; 35 years (hazard ratio, HR 1.70, 95% CI 1.14–2.54; P = 0.010), and not maintaining social distance (HR 1.34, 95% CI 1.05–1.72; P = 0.020) were also associated with the time to the first episode.&#xd;
Conclusions&#xd;
The youngest HCWs had the highest incidence rate of COVID-19, which was not explained by occupational risk factors or health conditions. The increase in nonoccupational exposure since the end of the lockdowns in summer 2020 could by a key factor.</description>
<date>2025-03-04</date>
<date>2025-03-04</date>
<date>2024</date>
<type>info:eu-repo/semantics/article</type>
<identifier>Wiener klinische Wochenschrift, 2024, vol. 136, n. 15-16, p. 439-448</identifier>
<identifier>0043-5325</identifier>
<identifier>https://uvadoc.uva.es/handle/10324/75228</identifier>
<identifier>10.1007/s00508-024-02346-0</identifier>
<identifier>439</identifier>
<identifier>15-16</identifier>
<identifier>448</identifier>
<identifier>Wiener klinische Wochenschrift</identifier>
<identifier>136</identifier>
<identifier>1613-7671</identifier>
<language>eng</language>
<relation>https://link.springer.com/article/10.1007/s00508-024-02346-0</relation>
<rights>info:eu-repo/semantics/openAccess</rights>
<rights>http://creativecommons.org/licenses/by/4.0/</rights>
<rights>© 2024 The Author(s)</rights>
<rights>Atribución 4.0 Internacional</rights>
<publisher>Springer</publisher>
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