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1.
PLoS One ; 9(7): e103317, 2014.
Article in English | MEDLINE | ID: mdl-25054972

ABSTRACT

OBJECTIVE: To investigate demographic and clinical factors associated with employment in MS. METHODS: The study included 213 (89.9%) of all MS patients in Sogn and Fjordane County, Western Norway at December 31st 2010. The patients underwent clinical evaluation, structured interviews and completed self-reported questionnaires. Demographic and clinical factors were compared between patients being employed versus patients being unemployed and according to disease course of MS. Logistic regression analysis was used to identify factors independently associated with current employment. RESULTS: After a mean disease duration of almost 19 years, 45% of the population was currently full-time or part- time employed. Patients with relapsing -remitting MS (RRMS) had higher employment rate than patients with secondary (SPMS) and primary progressive (PPMS). Higher educated MS patients with lower age at onset, shorter disease duration, less severe disability and less fatigue were most likely to be employed. CONCLUSIONS: Nearly half of all MS patients were still employed after almost two decades of having MS. Lower age at onset, shorter disease duration, higher education, less fatigue and less disability were independently associated with current employment. These key clinical and demographic factors are important to understand the reasons to work ability in MS. The findings highlight the need for environmental adjustments at the workplace to accommodate individual 's needs in order to improve working ability among MS patients.


Subject(s)
Employment , Multiple Sclerosis/epidemiology , Adult , Age of Onset , Disability Evaluation , Disease Progression , Fatigue/complications , Female , Humans , Male , Middle Aged , Multiple Sclerosis/complications , Multiple Sclerosis/diagnosis , Multiple Sclerosis/pathology , Multiple Sclerosis, Relapsing-Remitting/complications , Multiple Sclerosis, Relapsing-Remitting/diagnosis , Multiple Sclerosis, Relapsing-Remitting/epidemiology , Multiple Sclerosis, Relapsing-Remitting/pathology , Norway/epidemiology , Surveys and Questionnaires , Young Adult
2.
PLoS One ; 7(11): e49996, 2012.
Article in English | MEDLINE | ID: mdl-23166808

ABSTRACT

BACKGROUND: Poor sleep is a frequent symptom in patients with multiple sclerosis (MS). Sleep may be influenced by MS-related symptoms and adverse effects from immunotherapy and symptomatic medications. We aimed to study the prevalence of poor sleep and the influence of socio-demographic and clinical factors on sleep quality in MS- patients. METHODS: A total of 90 MS patients and 108 sex-and age- matched controls were included in a questionnaire survey. Sleep complaints were evaluated by Pittsburgh Sleep Quality Index (PSQI) and a global PSQI score was used to separate good sleepers (≤ 5) from poor sleepers (>5). Excessive daytime sleepiness, the use of immunotherapy and antidepressant drugs, symptoms of pain, depression, fatigue and MS-specific health related quality of life were registered. Results were compared between patients and controls and between good and poor sleepers among MS patients. RESULTS: MS patients reported a higher mean global PSQI score than controls (8.6 vs. 6.3, p = 0.001), and 67.1% of the MS patients compared to 43.9% of the controls (p = 0.002) were poor sleepers. Pain (p = 0.02), fatigue (p = 0.001), depression (p = 0.01) and female gender (p = 0.04) were associated with sleep disturbance. Multivariate analyses showed that female gender (p = 0.02), use of immunotherapy (p = 005) and a high psychological burden of MS (p = 0.001) were associated with poor sleep among MS patients. CONCLUSIONS: Poor sleep is common in patients with MS. Early identification and treatment of modifiable risk factors may improve sleep and quality of life in MS.


Subject(s)
Multiple Sclerosis/complications , Sleep Wake Disorders/epidemiology , Sleep Wake Disorders/etiology , Adult , Age Factors , Female , Humans , Immunotherapy/adverse effects , Logistic Models , Male , Middle Aged , Multiple Sclerosis/immunology , Multiple Sclerosis/psychology , Multiple Sclerosis/therapy , Multivariate Analysis , Norway/epidemiology , Odds Ratio , Prevalence , Risk Factors , Sex Factors , Surveys and Questionnaires
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