• This record comes from PubMed

The clinical and paraclinical correlates of employment status in multiple sclerosis

. 2022 Mar ; 43 (3) : 1911-1920. [epub] 20210815

Language English Country Italy Media print-electronic

Document type Journal Article

Links

PubMed 34392392
DOI 10.1007/s10072-021-05553-z
PII: 10.1007/s10072-021-05553-z
Knihovny.cz E-resources

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.

See more in PubMed

Julian LJ et al (2008) Employment in multiple sclerosis. Exiting and re-entering the work force. J Neurol 255(9):1354–1360 DOI

Naci H et al (2010) Economic burden of multiple sclerosis: a systematic review of the literature. Pharmacoeconomics 28(5):363–379 DOI

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 DOI

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 DOI

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 DOI

Moore P et al (2013) Demographic and clinical factors associated with changes in employment in multiple sclerosis. Mult Scler 19(12):1647–1654 DOI

Smith MM, Arnett PA (2005) Factors related to employment status changes in individuals with multiple sclerosis. Mult Scler 11(5):602–609 DOI

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 DOI

Findling O et al (2015) Variables related to working capability among Swiss patients with multiple sclerosis–a cohort study. PLoS ONE 10(4):e0121856 DOI

Strober LB et al (2012) Unemployment in multiple sclerosis: the contribution of personality and disease. Mult Scler 18(5):647–653 DOI

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 DOI

Krokavcova M et al (2010) Self-rated health and employment status in patients with multiple sclerosis. Disabil Rehabil 32(21):1742–1748 DOI

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 DOI

BoeLunde HM et al (2014) Employment among patients with multiple sclerosis-a population study. PLoS ONE 9(7):e103317 DOI

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 DOI

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 DOI

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 DOI

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 DOI

Li J et al (2015) Disease-related and functional predictors of employment status among adults with multiple sclerosis. Work 52(4):789–797 DOI

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 DOI

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 DOI

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 DOI

Roessler RT et al (2015) Predictors of differential employment statuses of adults with multiple sclerosis. J Vocat Rehabil 42(2):141–152 DOI

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 DOI

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 DOI

Kurtzke JF (1983) Rating neurologic impairment in multiple-sclerosis - an expanded disability status scale (EDSS). Neurology 33(11):1444–1452 DOI

Langdon DW et al (2012) Recommendations for a Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS). Mult Scler 18(6):891–898 DOI

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 DOI

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 DOI

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 DOI

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 DOI

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 DOI

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 DOI

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 DOI

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 DOI

Chiu C-Y et al (2013) State vocational rehabilitation services and employment in multiple sclerosis. Mult Scler J 19(12):1655–1664 DOI

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...