scholarly journals Physical behaviour is weakly associated with physical fatigue in persons with multiple sclerosis-related fatigue

2018 ◽  
Vol 50 (9) ◽  
pp. 821-827 ◽  
Author(s):  
L Blikman ◽  
J Meeteren ◽  
D Rizopoulos ◽  
V Groot ◽  
H Beckerman ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Physical Fatigue ◽  
Physical Behaviour

Evaluation of the six-minute walk in multiple sclerosis subjects and healthy controls

2008 ◽  
Vol 14 (3) ◽  
pp. 383-390 ◽  
Author(s):  
Myla D Goldman ◽  
Ruth Ann Marrie ◽  
Jeffrey A Cohen
Keyword(s):  
Multiple Sclerosis ◽  
Short Form ◽  
Intraclass Correlation ◽  
Rest Period ◽  
Practice Effect ◽  
Physical Component Score ◽  
Physical Fatigue ◽  
Subjective Measures ◽  
Impact Scale ◽  
Fatigue Impact Scale

Objective To assess the characteristics of the 6-min walk (6MW) in multiple sclerosis (MS) subjects of varied disability, and controls. To assess the correlation of 6MW to subjective measures of fatigue, health status and ambulation using the modified fatigue impact scale (MFIS), short form-36 Health Questionnaire physical component score and MS walking scale (MSWS). Methods Forty MS expanded disability status scale [(EDSS) 0—6.5] and 20 control subjects were recruited from a MS outpatient clinic. Subjects completed survey material and three 6MWs with 1-h interval rest in a single study visit. Results There was no practice effect or fatigability with repeat 6MW tests with a one-h rest period between test sessions. The 6MW had excellent intra-[intraclass correlation coefficient (ICC) = 0.95] and inter-rater (ICC = 0.91) reliability. MS subjects demonstrated reduced 6MW distance and speed compared with controls ( P < 0.0001). Within the MS population 6MW distance was significantly reduced with increasing disability ( P = 0.05). Compared with the EDSS, the 6MW had a stronger correlation to subjective measures of ambulation and physical fatigue: MSWS ( r = -0.81 versus 0.69) and MFISphy (0.66 versus 0.63). Conclusions The 6MW is a feasible, reproducible, and reliable measure in MS. MS subjects demonstrate motor fatigue in both 6MW distance and speed compared with controls. In MS subjects there is an inverse relationship between motor fatigue and disability. 6MW has a strong correlation to subjective measures of ambulation and physical fatigue. Multiple Sclerosis 2008; 14: 383—390. http://msj.sagepub.com

Fatigue in multiple sclerosis: relation to depression, physical impairment, personality and action control

2007 ◽  
Vol 13 (9) ◽  
pp. 1161-1167 ◽  
Author(s):  
I.-K. Penner ◽  
N. Bechtel ◽  
C. Raselli ◽  
M. Stöcklin ◽  
K. Opwis ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Linear Regression ◽  
Action Control ◽  
Physical Impairment ◽  
Healthy Controls ◽  
Regression Analyses ◽  
Physical Fatigue ◽  
Stepwise Linear Regression ◽  
Main Factor

Athough fatigue is one of the most common symptoms of multiple sclerosis, it is yet poorly understood and therefore difficult to manage. To clarify the nature of fatigue we investigated its relationship to depression, physical impairment, personality and action control and compared these variables between a sample of 41 MS patients and 41 healthy controls. Physical impairment was assessed by the EDSS and all other dimensions, using questionnaires. Stepwise linear regression analyses revealed that physical impairment was related to physical fatigue in MS patients. Depression was the main factor influencing fatigue among both, MS patients and controls. What clearly differentiated the two groups was the correlation between fatigue and action control. Decreased levels of action control imply attentional and motivational deficits and were only found in fatigued MS patients. Our study indicates that motivational disturbances might be specific for MS related fatigue. Multiple Sclerosis 2007; 13: 1161—1167. http://msj.sagepub.com

Fatigue in multiple sclerosis: association with disease-related, behavioural and psychosocial factors

2007 ◽  
Vol 13 (8) ◽  
pp. 985-995 ◽  
Author(s):  
DA Trojan ◽  
D. Arnold ◽  
J-P. Collet ◽  
S. Shapiro ◽  
A. Bar-Or ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Psychosocial Factors ◽  
Self Efficacy ◽  
Mental Fatigue ◽  
Additional Contribution ◽  
Physical Fatigue ◽  
Multivariate Models ◽  
Related Factors ◽  
Modifiable Factors ◽  
General Physical

We determined biopsychosocial correlates of general, physical, and mental fatigue in MS patients, by evaluating the additional contribution of potentially modifiable factors after accounting for non-modifiable disease-related factors. Fifty-three ambulatory MS patients, along with 28 normal controls were recruited for a cross-sectional study. Subjects completed the Multidimensional Fatigue Inventory (MFI) and Fatigue Severity Scale. Potential correlates evaluated were: disease-related factors (disease duration and type, immunomodulating treatment, muscle strength, pain, forced vital capacity (FVC), respiratory muscle strength, body mass index, disability, fibromyalgia), behavioural factors (physical activity, sleep quality) and psychosocial factors (depression, stress, self-efficacy). Multivariate models were calculated for MFI General, Physical, and Mental Fatigue. Age-adjusted multivariate models with non-modifiable factors included the following predictors ( P ≤ 0.10) of 1) MFI General and Mental Fatigue: none; and 2) MFI Physical Fatigue: FVC and disability. The following potentially modifiable predictors ( P ≤ 0.10) made an additional contribution to the models 1) MFI General Fatigue: sleep quality, self-efficacy, pain; 2) MFI Physical Fatigue: self-efficacy, physical activity; and 3) MFI Mental Fatigue: stress, self-efficacy. Fatigue in MS is multidimensional. Correlates of general and physical fatigue are disease-related, behavioural and psychosocial factors. Correlates of mental fatigue are psychosocial factors. Potentially modifiable factors account for a considerable portion of fatigue. Multiple Sclerosis 2007; 13: 985—995. http://msj.sagepub.com

Cognitive and Physical Fatigue in Multiple Sclerosis: Relations Between Self-Report and Objective Performance

1998 ◽  
Vol 5 (3) ◽  
pp. 143-148 ◽  
Author(s):  
Robert H. Paul ◽  
William W. Beatty ◽  
Ronni Schneider ◽  
Carlos R. Blanco ◽  
Karen A. Hames
Keyword(s):  
Multiple Sclerosis ◽  
Self Report ◽  
Physical Fatigue ◽  
Objective Performance

Outcome measures for physical fatigue in individuals with multiple sclerosis: a systematic review

2021 ◽  
Author(s):  
Giovanni Sellitto ◽  
Alessia Morelli ◽  
Susanna Bassano ◽  
Antonella Conte ◽  
Viola Baione ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Systematic Review ◽  
Outcome Measures ◽  
Physical Fatigue

scholarly journals The Effect of Foot Reflexology on Fatigue, Sleep Quality and Anxiety in Patients with Multiple Sclerosis: A Randomized Controlled Trial

2020 ◽  
Vol 7 (3) ◽  
Author(s):  
Mahbobeh Sajadi ◽  
Fahimeh Davodabady ◽  
Mohsen Ebrahimi-Monfared
Keyword(s):  
Multiple Sclerosis ◽  
Randomized Controlled Trial ◽  
Sleep Quality ◽  
Controlled Trial ◽  
Nursing Intervention ◽  
Physical Fatigue ◽  
Randomized Controlled ◽  
Impact Scale ◽  
Fatigue Impact Scale

Background: Fatigue, sleep disorders, and anxiety are common symptoms in multiple sclerosis (MS) patients. MS reduced the quality of life by these symptoms in patients. Studies have shown that foot reflexology may reduce some problems of this disease. Objectives: The present randomized controlled trial study investigated the effect of reflexology on fatigue, sleep quality, and anxiety in patients with multiple sclerosis. Methods: This study included 63 patients with MS referred to Arak MS society in 2018 - 2019. Reflexology and placebo intervention had applied twice a week for 4 weeks, and each session lasted about 30 - 40 minutes. Fatigue Impact scale (FIS), Pittsburgh sleep quality index (PSQI) and state-trait anxiety inventory (STAI) was used for data collection before and after the intervention. A significant statistical level was considered 0.05. Data were analyzed using the SPSS software (V. 16.0). Results: Significant improvement was observed in physical fatigue (P = 0.042), sleep quality (P = 0.001) and anxiety (P = 0.034) in the reflexology group after the intervention. Fatigue Impact Scale (FIS) revealed a decrease in fatigue level in MS patients, but these alterations were not significant (P = 0.134). Conclusions: Reflexology is a non-invasive, simple, affordable, and low-cost nursing intervention that can be helpful in reducing physical fatigue, anxiety, and improving sleep quality of people with MS.

Cognitive Fatigue Predicts Cognitive Failure in Multiple Sclerosis Patients and Healthy Controls: A Case-Control Study

2020 ◽  
Author(s):  
Nora Spiegelberg ◽  
Svenja Breuer ◽  
Jörn Nielsen ◽  
Jochen Saliger ◽  
Christian Montag ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cognitive Deficits ◽  
Hierarchical Regression ◽  
Future Research ◽  
Exact Nature ◽  
Healthy Controls ◽  
Physical Fatigue ◽  
Cognitive Fatigue ◽  
Multiple Sclerosis Patients ◽  
The Impact

Abstract Objective Fatigue and cognitive deficits are frequent symptoms of multiple sclerosis (MS). However, the exact nature of their co-occurrence is not fully understood. We sought to determine the impact of cognitive and physical fatigue on subjective cognitive deficits in MS patients and healthy controls. Methods Self-reports of fatigue (FSMC), depression (CES-D), cognitive deficits (CFQ), and personality traits (NEO-FFI, ANPS) among 30 MS inpatients and 30 healthy controls were analyzed using hierarchical regression models. The frequency of cognitive mistakes was used as the dependent variable and the extent of cognitive and physical fatigue as the independent variable. Results Cognitive fatigue was the only unique and significant predictor of cognitive mistakes in both groups, explaining 13.3% of additional variance in the MS group after correcting for age, mood, and physical fatigue. Physical fatigue had no significant impact on cognitive mistakes. While age had an impact on cognitive mistakes and depression in healthy controls, this association was not significant in MS patients. Depression was significantly correlated with cognitive mistakes and cognitive fatigue in MS patients. Conclusions The interplay of cognitive fatigue and subjective cognitive impairment can be generalized, with the exception of the variables of age and depression, which were shown to have differing impacts on cognitive mistakes in MS patients and healthy controls, respectively. Cognitive fatigue was linked to cognitive mistakes even after correcting for overlapping items in MS patients only. Future research should further investigate the link between cognitive fatigue and attention lapses in daily life by using various objective assessments.

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