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The clinical and paraclinical correlates of employment status in multiple sclerosis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064165%3A_____%2F22%3A10441461" target="_blank" >RIV/00064165:_____/22:10441461 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11110/22:10441461

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=o.PwOxZQDi" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=o.PwOxZQDi</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s10072-021-05553-z" target="_blank" >10.1007/s10072-021-05553-z</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The clinical and paraclinical correlates of employment status in multiple sclerosis

  • Original language description

    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 &lt; 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 &lt; 0.001), 9HPT, CCF, and T2 lesion volume were still present (all p &lt; 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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30103 - Neurosciences (including psychophysiology)

Result continuities

  • Project

    <a href="/en/project/GA16-03322S" target="_blank" >GA16-03322S: Investigation of pathomechanisms responsible for speech and voice disorders in multiple sclerosis using new methods of objective acoustic analysis</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Neurological Sciences

  • ISSN

    1590-1874

  • e-ISSN

    1590-3478

  • Volume of the periodical

    43

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    IT - ITALY

  • Number of pages

    10

  • Pages from-to

    1911-1920

  • UT code for WoS article

    000684899300002

  • EID of the result in the Scopus database

    2-s2.0-85112446984