{Reference Type}: Journal Article
{Title}: Impact of pre-existing conditions on the severity of post-COVID syndrome among workers in healthcare and social services in Germany.
{Author}: Barnekow T;Peters C;Dulon M;Nienhaus A;
{Journal}: J Occup Med Toxicol
{Volume}: 19
{Issue}: 1
{Year}: 2024 Aug 1
{Factor}: 2.862
{DOI}: 10.1186/s12995-024-00431-8
{Abstract}: <B>BACKGROUND: </B>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.<BR><B>METHODS: </B>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.<BR><B>RESULTS: </B>Of a total of 2,053 participants, 21.5% had severe PCS. Underlying respiratory (OR 1.94; CI 1.44-2.61), cardiovascular (OR 1.35; CI 1.04-1.77) and urogenital (OR 1.79; CI 1.10-2.91) 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.<BR><B>CONCLUSIONS: </B>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.