Prevalence and factors leading to unemployment in MS (multiple sclerosis) patients undergoing immunomodulatory treatment in Poland

Dorota Koziarska , Joanna Król , Danuta Nocoń , Przemysław Kubaszewski , Teresa Rzepa , Przemysław Nowacki


Multiple Sclerosis (MS) is the most common, primary neurogenic cause of disability among young adults. We investigated demographic and clinical factors associated with unemployment on the example of 150 MS patients receiving immunomodulatory treatment in Poland. This study was based on clinical evaluation and collection of self-reported questionnaires, with an attention to self-motivation, severe fatigue and moderate disability. Patients who were unemployed (40% of all patients) had a mean disease duration of almost 5 years. Older (p<0.001), less educated (p = 0.007) and more severely disabled patients (p<0,001) were most likely to be unemployed. Moderate disability (OR = 11.089 95% CI: 4.11–34.201, p<0,001), severe fatigue (OR = 2.625 95% CI: 1.02–6.901, p = 0,046) and lower level of self-motivation (KNS) (OR = 0.947, 95% CI: 0.896–0.006, p = 0.042) were independently associated with unemployment.
Author Dorota Koziarska
Dorota Koziarska,,
, Joanna Król
Joanna Król,,
, Danuta Nocoń
Danuta Nocoń,,
, Przemysław Kubaszewski
Przemysław Kubaszewski,,
, Teresa Rzepa (Wydział Zamiejscowy w Poznaniu)
Teresa Rzepa,,
- Wydział Zamiejscowy w Poznaniu
, Przemysław Nowacki
Przemysław Nowacki,,
Journal seriesPlos One, ISSN 1932-6203, (A 40 pkt)
Issue year2018
Publication size in sheets0.5
ASJC Classification1100 General Agricultural and Biological Sciences; 1300 General Biochemistry, Genetics and Molecular Biology; 2700 General Medicine
Languageen angielski
Rzepa T._Prevalence and factors_all.pdf 159.82 KB
Score (nominal)40
Score sourcejournalList
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2017 = 1.111; WoS Impact Factor: 2017 = 2.766 (2) - 2017=3.352 (5)
Citation count*5 (2019-11-17)
Share Share

Get link to the record

* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
Are you sure?