Abstract
Purpose
To identify the clinical and paraclinical markers of employment status in multiple sclerosis (MS).
Methods
This was a cross-sectional sub-study investigating 1226 MS patients. To minimalized confounding effect, two groups of patients, matched by sex, age, and education, were selected: 307 patients with full time employment and 153 unemployed patients receiving disability pension. We explored associations between employment status and Expanded Disability Status Scale (EDSS), 25 Foot Walk Test (25FWT), Nine Hole Peg Test (9HPT), Brief International Cognitive Assessment for MS (BICAMS), Paced Auditory Serial Addition Test (PASAT), Beck Depression Inventory (BDI), SLOAN charts (SLOAN), and brain volumetric MRI measures.
Results
Both groups differed significantly on all variables of interest (p < 0.001). In the univariate analyses, EDSS, SDMT (Symbol Digit Modalities Test) adjusted for BDI, 25FWT, and 9HPT best explained variability in vocational status. In multivariate analyses, the combination of EDSS, 25FWT, SDMT, BDI, and corpus callosum fraction (CCF) explained the greatest variability. As a next step, after patients were matched by EDSS, differences in SDMT, 25FWT (both p < 0.001), 9HPT, CCF, and T2 lesion volume were still present (all p < 0.005) between both groups. The best multivariate model consisted of SDMT, BDI, and T2 lesion volume.
Conclusions
EDSS, walking ability, cognitive performance, and MRI volumetric parameters are independently associated with employment status.
Similar content being viewed by others
Availability of data and material
Not applicable.
Code availability
Not applicable.
References
Julian LJ et al (2008) Employment in multiple sclerosis. Exiting and re-entering the work force. J Neurol 255(9):1354–1360
Naci H et al (2010) Economic burden of multiple sclerosis: a systematic review of the literature. Pharmacoeconomics 28(5):363–379
de Jong M et al (2015) Quality of working life issues of employees with a chronic physical disease: a systematic review. J Occup Rehabil 25(1):182–196
Messmer Uccelli M et al (2009) Factors that influence the employment status of people with multiple sclerosis: a multi-national study. J Neurol 256(12):1989–1996
Tauhid S et al (2015) Brain MRI lesions and atrophy are associated with employment status in patients with multiple sclerosis. J Neurol 262(11):2425–2432
Moore P et al (2013) Demographic and clinical factors associated with changes in employment in multiple sclerosis. Mult Scler 19(12):1647–1654
Smith MM, Arnett PA (2005) Factors related to employment status changes in individuals with multiple sclerosis. Mult Scler 11(5):602–609
Jongen PJ et al (2014) Relationship between working hours and power of attention, memory, fatigue, depression and self-efficacy one year after diagnosis of clinically isolated syndrome and relapsing remitting multiple sclerosis. PLoS ONE 9(5):e96444
Findling O et al (2015) Variables related to working capability among Swiss patients with multiple sclerosis–a cohort study. PLoS ONE 10(4):e0121856
Strober LB et al (2012) Unemployment in multiple sclerosis: the contribution of personality and disease. Mult Scler 18(5):647–653
Miller A, Dishon S (2006) Health-related quality of life in multiple sclerosis: The impact of disability, gender and employment status. Qual Life Res 15(2):259–271
Krokavcova M et al (2010) Self-rated health and employment status in patients with multiple sclerosis. Disabil Rehabil 32(21):1742–1748
Phillips LJ, Stuifbergen AK (2006) Predicting continued employment in persons with multiple sclerosis. J Rehabil 72(1):35
Roessler RT, Rumrill PD, Fitzgerald SM (2004) Predictors of employment status for people with multiple sclerosis. Rehabil Couns Bull 47(2):96–103
BoeLunde HM et al (2014) Employment among patients with multiple sclerosis-a population study. PLoS ONE 9(7):e103317
Van der Hiele K et al (2014) A pilot study on factors involved with work participation in the early stages of multiple sclerosis. PLoS ONE 9(8):e105673
Krause I et al (2013) Employment status in multiple sclerosis: impact of disease-specific and non-disease-specific factors. Mult Scler 19(13):1792–1799
Honarmand K et al (2011) Predicting employment status in multiple sclerosis patients: the utility of the MS functional composite. J Neurol 258(2):244–249
Strober L et al (2014) Unemployment in multiple sclerosis (MS): utility of the MS Functional Composite and cognitive testing. Mult Scler 20(1):112–115
Li J et al (2015) Disease-related and functional predictors of employment status among adults with multiple sclerosis. Work 52(4):789–797
Fantoni-Quinton S et al (2016) Impact of multiple sclerosis on employment and use of job-retention strategies: The situation in France in 2015. J Rehabil Med 48(6):535–540
Kobelt G et al (2017) New insights into the burden and costs of multiple sclerosis in Europe. Multiple Sclerosis J 1352458517694432
Ivanova JI et al (2009) The cost of disability and medically related absenteeism among employees with multiple sclerosis in the US. Pharmacoeconomics 27(8):681–691
Salter A et al (2017) Employment and absenteeism in working-age persons with multiple sclerosis. J Med Econ 1–10
Kadrnozkova L et al (2018) Combining clinical and magnetic resonance imaging markers enhances prediction of 12-year employment status in multiple sclerosis patients. J Neurol Sci 388:87–93
Roessler RT et al (2015) Predictors of differential employment statuses of adults with multiple sclerosis. J Vocat Rehabil 42(2):141–152
Simmons RD, Tribe KL, and McDonald EA. Living with multiple sclerosis: longitudinal changes in employment and the importance of symptom management
Uher T et al (2017) Identification of multiple sclerosis patients at highest risk of cognitive impairment using an integrated brain magnetic resonance imaging assessment approach. Eur J Neurol 24(2):292–301
McDonald WI et al (2001) Recommended diagnostic criteria for multiple sclerosis: Guidelines from the International Panel on the Diagnosis of Multiple Sclerosis. Ann Neurol 50(1):121–127
Kurtzke JF (1983) Rating neurologic impairment in multiple-sclerosis - an expanded disability status scale (EDSS). Neurology 33(11):1444–1452
Langdon DW et al (2012) Recommendations for a Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS). Mult Scler 18(6):891–898
Dusankova JB et al (2012) Cross cultural validation of the Minimal Assessment of Cognitive Function in Multiple Sclerosis (MACFIMS) and the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS). Clin Neuropsychol 26(7):1186–1200
Smith A (1982) Symbol digit modalities test (sdmt): Manual. Los Angeles: Western Psychological Services
Delis DC et al (2000) California verbal learning test – second edition. Adult version. Manual. San Antonio: Psychological Corporation
Benedict R (1997) Brief visuospatial memory test - revised: professional manual. Odessa: Psychological Assessment Resources Inc
Gronwall DM (1977) Paced auditory serial-addition task: a measure of recovery from concussion. Percept Mot Skills 44(2):367–373
Fischer JS et al (2001) Multiple sclerosis functional composite measure (msfc): administration and scoring manual (revised), National Multiple Sclerosis Society
Beck AT, Steer RA (1987) Bdi, beck depression inventory: manual, psychological corporation. San Antonio
Balcer L et al (2003) Contrast letter acuity as a visual component for the multiple sclerosis functional composite. Neurology 61(10):1367–1373
Uher T et al (2017) A novel semiautomated pipeline to measure brain atrophy and lesion burden in multiple sclerosis: a long-term comparative study. J Neuroimaging
Uher T et al (2017) Combining clinical and magnetic resonance imaging markers enhances prediction of 12-year disability in multiple sclerosis. Mult Scler 23(1):51–61
Ho DE et al (2011) MatchIt: nonparametric preprocessing for parametric causal inference. J Stat Softw 42(8)
Benedict RH et al (2005) Predicting quality of life in multiple sclerosis: accounting for physical disability, fatigue, cognition, mood disorder, personality, and behavior change. J Neurol Sci 231(1–2):29–34
Benedict RH et al (2016) Benchmarks of meaningful impairment on the MSFC and BICAMS. Mult Scler
Nunnari D et al (2015) Impact of depression, fatigue, and global measure of cortical volume on cognitive impairment in multiple sclerosis. Biomed Res Int 2015:519785
Papathanasiou A et al (2015) Thalamic atrophy predicts cognitive impairment in relapsing remitting multiple sclerosis. Effect on instrumental activities of daily living and employment status. J Neurol Sci 358(1–2):236–242
Benedict RHB et al (2006) Validity of the minimal assessment of cognitive function in multiple sclerosis (MACHMS). J Int Neuropsychol Soc 12(4):549–558
Chiu C-Y et al (2013) State vocational rehabilitation services and employment in multiple sclerosis. Mult Scler J 19(12):1655–1664
Funding
The project was supported by the Czech Ministry of Education project PRVOUK-P26/LF1/4, of Health RVO-VFN 64165 and by the Czech Science Foundation GA CR 16-03322S. Funding for biostatistical support was provided by Novartis. Lukas Sobisek has been also supported by the project of the University of Economics, Prague—Internal Grant Agency, project No. 44/2017 “Clustering and regression analysis of micro panel data.”
Author information
Authors and Affiliations
Contributions
All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Barbora Srpova, Klara Novotna, Lukas Sobisek, Lucie Friedova, and Jan Krasensky. Supervision was performed by Dana Horakova, Tomas Uher, Manuela Vaneckova, and Eva Kubala Havrdova. The first draft of the manuscript was written by Barbora Srpova, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Ethics approval
The study received ethical approval from the local ethical committee of General University Hospital in Prague.
Consent to participate
Signed informed consent was obtained from all participants.
Consent for publication
Not applicable.
Conflict of interest
Barbora Srpova has received compensation for travelling and conference fees from Novartis, Sanofi Genzyme and Biogen Idec. Lukas Sobisek has received financial support from Novartis. Tomas Uher has received financial support for conference travel and honoraria from Biogen Idec, Roche, Novartis, Genzyme, and Merck Serono, as well as support for research activities from Biogen Idec and Sanofi (GZ-2017–11718). Eva Kubala Havrdova has received speaker honoraria and consultant fees from Biogen Idec, Merck Serono, Novartis, Genzyme, and Teva, as well as support for research activities from Biogen Idec and Merck Serono. Dana Horakova has received compensation for travel, speaker honoraria, and consultant fees from Biogen Idec, Novartis, Merck, Bayer, Sanofi Genzyme, and Teva, as well as support for research activities from Biogen Idec. Manuela Vaneckova has received compensation for travel, speaker honoraria, and consultant fees from Biogen Idec, Novartis, and Sanofi Genzyme, as well as support for research activities from Biogen Idec.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Srpova, B., Sobisek, L., Novotna, K. et al. The clinical and paraclinical correlates of employment status in multiple sclerosis. Neurol Sci 43, 1911–1920 (2022). https://doi.org/10.1007/s10072-021-05553-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10072-021-05553-z