Sociodemographic and Clinical Determinants of Fatigue in Multiple Sclerosis

被引:3
|
作者
Maier, Smaranda [1 ,2 ]
Bajko, Zoltan [1 ,2 ]
Rosescu, Ruxandra [3 ]
Barcutean, Laura [1 ,2 ]
Sarmasan, Emanuela [1 ]
Voidazan, Septimiu [4 ]
Balasa, Rodica [1 ,2 ]
机构
[1] Emergency Clin Cty Hosp Targu Mures, Neurol Clin 1, Targu Mures 540136, Romania
[2] George Emil Palade Univ Med Pharm Sci & Technol T, Dept Neurol, Targu Mures 540136, Romania
[3] Clin Emergency Hosp Children, Dept Pediat Neurol, Cluj Napoca 400394, Romania
[4] George Emil Palade Univ Med Pharm Sci & Technol T, Dept Epidemiol, Targu Mures 540139, Romania
来源
LIFE-BASEL | 2023年 / 13卷 / 11期
关键词
multiple sclerosis; fatigue; Modified Fatigue Impact Scale; Beck Depression Inventory-II; QUALITY-OF-LIFE; DEPRESSION; DISABILITY; ASSOCIATION; PERFORMANCE; COGNITION; IMPACT;
D O I
10.3390/life13112132
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Fatigue is the most common and disabling symptom in patients with multiple sclerosis (PwMS), representing one of the main determinants of reduced quality of life among PwMS due to its interference with social activities and work capacity. This study aimed to identify the sociodemographic determinants of fatigue in a cohort of 150 PwMS and 100 healthy controls (HCs). Fatigue was assessed using one of the most suitable and appropriate tools for measuring the degree of fatigue: the Modified Fatigue Impact Scale (MFIS). By comparing the median scores for the MFIS, we observed that the PwMS group had significantly higher MFIS scores than the HCs (p = 0.0001). In PwMS, MFIS scores correlated positively with age, total number of relapses, total disease duration, disability status, and Beck Depression Inventory-II score and negatively with cognitive performance. Patients with relapsing-remitting MS had significantly lower fatigue levels than those with secondary progressive MS (p = 0.0010). Fatigue levels were significantly lower among male than female PwMS (p = 0.0120). Other determinant factors of fatigue in our study proved to be the marital and occupational status, as well as the presence of children, but in a linear multivariate regressions analysis with MFIS score as the dependent variable, the fatigue levels were influenced only by sex, occupational status, marital status, children status, and BDI-II test results. Considering the significant impact of fatigue on the quality of life of PwMS, clinicians must diagnose fatigue as early as possible, identify its modifiable determinants, and manage it effectively to increase their quality of life.
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页数:14
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