{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T07:38:58Z","timestamp":1779262738212,"version":"3.51.4"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Universit\u00e4tsklinikum Hamburg-Eppendorf (UKE)"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Occup Med Toxicol"],"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Background<\/jats:title>\n                <jats:p>The underlying mechanisms of post-COVID syndrome (PCS) are still not fully understood. While pre-existing conditions have been described as a risk factor for severe PCS in the general population, data specific to different occupational groups in this context is lacking. This study aimed to investigate the impact of pre-existing conditions on severe post-COVID syndrome among the occupational group of healthcare and social services employees.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>Baseline data from a longitudinal, observational study were analysed. In February 2021, health workers who had a COVID-19 infection in 2020 were surveyed about sequelae of the infection. Factors influencing severe PCS with at least one persistent symptom categorised as severe were subjected to a multivariate logistic regression analysis.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Of a total of 2,053 participants, 21.5% had severe PCS. Underlying respiratory (OR 1.94; CI 1.44\u20132.61), cardiovascular (OR 1.35; CI 1.04\u20131.77) and urogenital (OR 1.79; CI 1.10\u20132.91) disease were risk factors for severe PCS overall. Respiratory and mental illnesses had a statistically significant impact on persistent fatigue\/exhaustion, concentration\/memory difficulties and shortness of breath categorised as severe. Urogenital disease was associated with severe fatigue\/exhaustion. Other significant risk factors for severe PCS were female sex, smoking, physical exercise and hospitalisation due to COVID-19 infection.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>Workers in healthcare and social services with pre-existing conditions may face a higher risk of developing severe PCS. Additional analyses performed as part of the longitudinal study will show if and how this result changes over time.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12995-024-00431-8","type":"journal-article","created":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T08:03:13Z","timestamp":1722499393000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Impact of pre-existing conditions on the severity of post-COVID syndrome among workers in healthcare and social services in Germany"],"prefix":"10.1186","volume":"19","author":[{"given":"Tiana","family":"Barnekow","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Claudia","family":"Peters","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Madeleine","family":"Dulon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Albert","family":"Nienhaus","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,8,1]]},"reference":[{"key":"431_CR1","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1016\/j.ijid.2021.01.013","volume":"104","author":"M Gholami","year":"2021","unstructured":"Gholami M, Fawad I, Shadan S, Rowaiee R, Ghanem H, Hassan Khamis A, Ho SB. 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