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Earnings among people with multiple sclerosis compared to references, in total and by educational level and type of occupation: a population-based cohort study at different points in time

OBJECTIVES: To investigate earnings among people with multiple sclerosis (PwMS) before and after MS diagnosis compared with people without MS, and if identified differences were associated with educational levels and types of occupations. Furthermore, to assess the proportions on sickness absence (S...

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Detalles Bibliográficos
Autores principales: Wiberg, Michael, Murley, Chantelle, Tinghög, Petter, Alexanderson, Kristina, Palmer, Edward, Hillert, Jan, Stenbeck, Magnus, Friberg, Emilie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6629418/
https://www.ncbi.nlm.nih.gov/pubmed/31300492
http://dx.doi.org/10.1136/bmjopen-2018-024836
Descripción
Sumario:OBJECTIVES: To investigate earnings among people with multiple sclerosis (PwMS) before and after MS diagnosis compared with people without MS, and if identified differences were associated with educational levels and types of occupations. Furthermore, to assess the proportions on sickness absence (SA) and disability pension (DP) in both groups. DESIGN: Population-based longitudinal cohort study, 10 years before until 5 years after MS diagnosis. SETTING: Working-age population using microdata linked from nationwide Swedish registers. PARTICIPANTS: Residents in Sweden in 2004 aged 30–54 years with MS diagnosed in 2003–2006 (n=2553), and references without MS (n=7584) randomly selected by stratified matching. OUTCOME MEASURES: Quartiles of earnings were calculated for each study year prior to and following the MS diagnosis. Mean earnings, by educational level and type of occupation, before and after diagnosis were compared using t-tests. Tobit regressions investigated the associations of earnings with individual characteristics. The proportions on SA and/or DP, by educational level and type of occupation, for the diagnosis year and 5 years later were compared. RESULTS: Differences in earnings between PwMS and references were observed beginning 1 year before diagnosis, and increased thereafter. PwMS had lower mean earnings for the diagnosis year (difference=SEK 28 000, p<0.05), and 5 years after diagnosis, this difference had more than doubled (p<0.05). These differences remained after including educational level and type of occupation. Overall, the earnings of PwMS with university education and/or more qualified occupations were most like their reference peers. The proportions on SA and DP were higher among PwMS than the references. CONCLUSIONS: The results suggest that the PwMS’ earnings are lower than the references’ beginning shortly before MS diagnosis, with this gap increasing thereafter. Besides SA and DP, the results indicate that educational level and type of occupation are influential determinants of the large heterogeneity of PwMS’ earnings.