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 < 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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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