Trajectories of sickness absence and disability pension by type of occupation in multiple sclerosis

Abstract

Abstract Background Multiple sclerosis (MS) can impact working life, sickness absence (SA), and disability pension (DP). Different types of occupations involve different demands, which may be associated with trajectories of SA and DP among people with MS (PwMS). We aim to explore if annual levels of SA and DP differ according to type of occupation among PwMS and references. Further, we aim to gain knowledge of how trajectories of SA and DP are associated with type of occupation among PwMS. Methods A nationwide Swedish register-based prospective cohort study with six-year follow-up was conducted, including 6,100 individuals with prevalent MS and 38,641 matched population references. Mean annual SA and DP net days during follow-up years were calculated and stratified by type of occupation. Trajectories of SA and DP were identified with group-based trajectory modelling. Multinomial logistic regressions were estimated for associations between identified trajectories and different types of occupations. Results An increase of SA and DP over time in all types of occupations was observed in both PwMS and references, with higher levels of SA and DP among PwMS. Managers had the lowest levels of SA and DP in both groups. Three SA and DP trajectory groups were identified: Persistently Low (55.2%), Moderate Increasing (31.9%), and High Increasing (12.8%). Managers (Odds Ratio [OR] 0.37, 95%CI 0.26-0.52) and those working in Science & Technology (OR 0.64, 95% CI 0.50-0.82) had less probability of belonging to the Moderate Increasing group. Similarly, Managers (OR 0.52, 95%CI 0.30-0.89) and Science & Technology (OR 0.58, 95%CI 0.39-0.88) had also less probability of belonging to the High Increasing group. Conclusions Our findings suggest that the type of occupation plays a role in the level and course of SA and DP among PwMS. Key messages Over time SA and DP levels increased among PwMS regardless of type of occupation. PwMS in Managers or Science and Technology had less probability of belonging to the increasing trajectories.