The sociodemographic patterning of sick leave and determinants of longer sick leave after mild and severe COVID-19: a nationwide register-based study in Sweden.

BACKGROUND: Studies on sociodemographic differences in sick leave after coronavirus disease 2019 (COVID-19) are limited and research on COVID-19 long-term health consequences has mainly addressed hospitalized individuals. The aim of this study was to investigate the social patterning of sick leave and determinants of longer sick leave after COVID-19 among mild and severe cases. METHODS: The study population, from the Swedish multi-register observational study SCIFI-PEARL, included individuals aged 18-64 years in the Swedish population, gainfully employed, with a first positive polymerase chain reaction (PCR) test for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from 1 January 2020 until 31 August 2021 (n = 661 780). Using logistic regression models, analyses were adjusted for sociodemographic factors, vaccination, prior sick leave, comorbidities and stratified by hospitalization. RESULTS: In total, 37 420 (5.7%) individuals were on sick leave due to COVID-19 in connection with their first positive COVID-19 test. Individuals on sick leave were more often women, older, had lower income and/or were born outside Sweden. These differences were similar across COVID-19 pandemic phases. The highest proportion of sick leave was seen in the oldest age group (10.3%) with an odds ratio of 4.32 (95% confidence interval 4.18-4.47) compared with the youngest individuals. Among individuals hospitalized due to COVID-19, the sociodemographic pattern was less pronounced, and in some models, even reversed. The intersectional analysis revealed considerable variability in sick leave between sociodemographic groups (range: 1.5-17.0%). CONCLUSION: In the entire Swedish population of gainfully employed individuals, our findings demonstrated evident sociodemographic differences in sick leave due to COVID-19. In the hospitalized group, the social patterning was different and less pronounced.

Cross-sectional associations of optimism with artery calcification and function: The SCAPIS study.

Background: An increasing amount of research indicates that positive psychological factors, such as optimism, might be beneficial for cardiovascular health. However, most studies have focused on cardiovascular events. The present study aimed to investigate associations between optimism and subclinical outcomes related to cardiovascular health. Methods: This cross-sectional study used data from SCAPIS Malmö, Sweden, including 6251 randomly selected men and women from the Malmö municipality area, aged 50 to 64 years. Optimism was assessed via the LOT-R questionnaire, but also by using the two subscales of LOT-R, assessing optimism and pessimism separately. Arterial health was assessed as the coronary artery calcium score, ankle-brachial index, and aortic augmentation index. Cardiovascular risk was estimated using the SCORE instrument. Adjustments were made for sociodemographic factors, depression, and cardiovascular risk factors. Results: Those who were most optimistic had lower odds of coronary artery calcification, with an odds ratio of 0.74 (95% confidence interval 0.58, 0.93), compared to those who were least optimistic. Also, higher levels of optimism were associated with a general pattern of lower aortic augmentation index, and with higher ankle-brachial index on both left and right side. For coronary artery calcification associations seemed to be mediated primarily through an absence of pessimism. The associations were reduced after adjustments, but persisted for measures of arterial function. Conclusions: The results indicate that optimism might be health protective with regard to arterial function, but with regard to coronary artery calcification it was rather the absence of pessimism that was of importance.