ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2022
Predictors of unemployment status in people with relapsing multiple sclerosis: a single center experience.
Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 9 citations in OpenAlex.
- Managing Relapsing Multiple Sclerosis Across the Lifespan: A Narrative Review with Expert Opinion from Norway.Neurology and therapy · 2026Review
- A Comprehensive and Structured Follow-Up for Persons With Multiple Sclerosis (CoreDISTparticipation) to Optimize Physical Functions, Health, and Employment: Protocol for a Prospective, Single-Blinded Randomized Controlled Trial and Health Economic Evaluation.JMIR research protocols · 2025Article
- Work Difficulties in People with Multiple Sclerosis.Journal of occupational rehabilitation · 2024Article
- The relationship between cognition, education, and employment in multiple sclerosis patients.Multiple sclerosis journal - experimental, translational and clinicalArticle
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7 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundMultiple sclerosis (MS) is the most common cause of nontraumatic chronic neurological disability affecting young adults during their crucial employment years.
objectivesTo evaluate patients and disease related factors associated to unemployment in a cohort of relapsing-remitting (RR) MS patients.
methodsWe included RRMS patients with a follow-up of at least 1 year. We collected data about years of school education and employment status. Patients underwent a neuropsychological evaluation using the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS). Demographic and clinical predictors of unemployment were assessed through a multivariable stepwise logistic regression model.
resultsWe evaluated 260 consecutive RRMS patients. Employed patients were less frequently female (68.4% vs 83.3%, p = 0.006), less disabled (median Expanded Disability Status Scale (EDSS) score: 2.0 (0-7.0) vs 2.5 (0-7.5), p < 0.001), with more years of school education (mean ± standard deviation (SD), years: 13.74 ± 0.30 vs 10.86 ± 3.47, p < 0.001). Female sex and a higher EDSS score resulted associated with a greater risk of unemployment (OR 3.510, 95% CI 1.654-7.448, p = 0.001; OR 1.366, 95% CI 1.074-1.737, p = 0.011, respectively), whereas a greater number of years of schooling and current disease-modifying therapy exposure resulted protective factors (OR 0.788, 95% CI 0.723-0.858, p < 0,001; OR 0.414, 95% CI 0.217-0.790, p = 0.008, respectively).
conclusionsUnderstanding work is pervasively influenced by consequences of MS, we confirmed the impact of demographic, physical, and cognitive factors on employment status in RRMS patients.
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