Sick leave and professional assistance for multiple sclerosis individuals in Västerbotten County, northern Sweden.
The aims of this study of a cross-sectional multiple sclerosis (MS) population in Västerbotten County, northern Sweden, were to estimate the prevalence of sick leave, professional assistance and housing; to study risk factors for sick leave; and to estimate the odds for sick leave in comparison with the general population of the county. The consequences of MS-related incapacity on the socioeconomic factors studied were considerable. Almost half (45%) of prevalent MS cases aged 18-64 years were fully sick listed and only one-third (35%) were not sick listed at all. Every fourth individual in the prevalence population received professional assistance, and 9% were living in care homes or special apartments for the disabled. Multiple logistic regression analysis identified the Expanded Disability Status Scale (EDSS) as the strongest predictor of sick leave. The time from symptom onset to full sick leave leading to temporary or permanent disability pension was significantly shorter for cases with progressive onset, higher age at onset and in males. The risk of full sick leave due to MS was six times higher than in the general population.
Sundström
P
P
Department of Pharmacology and Clinical Neuroscience, Umeå University Hospital, S-901 85 Umeå, Sweden. peter.sundstrom@neuro.umu.se
Nyström
L
L
Svenningsson
A
A
Forsgren
L
L
D000293:Adolescent; D000328:Adult; D003430:Cross-Sectional Studies; D004522:Educational Status; D004651:Employment / Q000706:statistics & numerical data; D005260:Female; D006699:Home Care Services / Q000706:statistics & numerical data; D006798:Housing; D006801:Humans; D018868:Insurance, Disability / Q000706:statistics & numerical data; D008297:Male; D008875:Middle Aged; D009103:Multiple Sclerosis / Q000453:epidemiology*; D015995:Prevalence; D012307:Risk Factors; D018582:Sick Leave / Q000706:statistics & numerical data*; D013548:Sweden / Q000453:epidemiology