Prior morbidity and sickness absence with Covid-19 among wholesale and retail blue-collar workers

Abstract

Abstract Background Cancer, cardiovascular disease, hypertension, diabetes, chronic kidney disorders, chronic lung disorders, neurological disorders, obesity, immunocompromisation, and schizophrenia or bipolar disorders were found to be risk factors for severe Covid-19. The aim was to determine associations between having such diagnoses and future sickness absence (SA) due to Covid-19 or related diagnoses in 2020. Methods A prospective population-based cohort study of all 299,268 blue-collar workers (48% women) in Sweden in 2018, using linked microdata from four nationwide registers covering 2018-2020. People with any of the above diagnoses in 2018 or 2019 were identified using microdata from specialised in- and outpatient healthcare and prescribed drugs. Logistic regression was used to calculate the odds ratio (OR) and 95% confidence interval (CI) of a new SA spell >14 days due to diagnosed Covid-19 or one of the diagnoses used by the Social Insurance Agency for suspected Covid-19 in 2020, separately for each diagnosis group and a global estimate for all risk factors together, adjusted for sociodemographic characteristics. Results In total, 38,422 individuals had at least one of the diagnoses that was a risk factor for severe Covid-19. Of them, 284 individuals had SA due to Covid-19 or related diagnoses (0.7%) in 2020, while 1210 of those with no such risk factor for Covid-19 had SA due to Covid-19 or related diagnoses (0.5%). The adjusted OR of SA due to Covid-19 or related diagnoses was 1.37 (95% CI 1.20-1.56) for those who had any risk factors for severe Covid-19. The group of diagnoses with the highest adjusted OR for SA in Covid-19-related diagnoses was lung disease (2.23; 95% CI 1.93-2.56). Conclusions While only a few of those with prior morbidity that was a risk factor for severe Covid-19 had SA due to Covid-19 or related diagnoses in 2020, they had a higher risk than those without such prior morbidity. Key messages • Having prior morbidity with a diagnosis identified as a risk factor for severe Covid-19 was associated with a higher risk of having SA due to Covid-19 or related diagnoses in 2020. • Prior lung disease was the diagnosis group with the highest risk of SA due to Covid-19 or related diagnoses.