scholarly journals Poor Sleep in Multiple Sclerosis Correlates with Beck Depression Inventory Values, but Not with Polysomnographic Data

2016 ◽  
Vol 2016 ◽  
pp. 1-5 ◽  
Author(s):  
Christian Veauthier ◽  
Gunnar Gaede ◽  
Helena Radbruch ◽  
Klaus-Dieter Wernecke ◽  
Friedemann Paul
Keyword(s):  
Multiple Sclerosis ◽  
Beck Depression Inventory ◽  
Pittsburgh Sleep Quality Index ◽  
Poor Sleep ◽  
Severity Scale ◽  
Analog Scale ◽  
Impact Scale ◽  
Fatigue Severity ◽  
Fatigue Impact Scale ◽  
The Relationship

Objectives. Pittsburgh Sleep Quality Index (PSQI) values correlate with depression, but studies investigating the relationship between PSQI values and polysomnographic (PSG) data showed inconsistent findings.Methods. Sixty-five consecutive patients with multiple sclerosis (MS) were retrospectively classified as “good sleepers” (GS) (PSQI ≤ 5) and “poor sleepers” (PS) (PSQI > 5). The PSG data and the values of the Visual Analog Scale (VAS) of fatigue, Modified Fatigue Impact Scale (MFIS), Fatigue Severity Scale (FSS), Epworth Sleepiness Scale (ESS), and the Beck Depression Inventory (BDI) were compared.Results. No significant differences were found either for PSG data or for ESS, MFIS, and FSS values; but PS showed significantly increased BDI and VAS values.Conclusions. Poor sleep is associated with increased depression and fatigue scale values.

A longitudinal study on effects of a six-week course for energy conservation for multiple sclerosis patients

2008 ◽  
Vol 14 (4) ◽  
pp. 500-505 ◽  
Author(s):  
C. Sauter ◽  
K. Zebenholzer ◽  
J. Hisakawa ◽  
J. Zeitlhofer ◽  
K. Vass
Keyword(s):  
Multiple Sclerosis ◽  
Sleep Quality ◽  
Energy Conservation ◽  
Fatigue Severity Scale ◽  
Severity Scale ◽  
Fatigue Management ◽  
Impact Scale ◽  
Fatigue Severity ◽  
Fatigue Impact Scale

Objective Fatigue management and energy conservation are effective strategies to minimize fatigue in multiple sclerosis (MS). Sustained results have not yet been reported. Methods A fatigue management course was provided for 32 MS patients. They were tested prior to, directly after participation in the course and in a 7—9 month follow-up with the Fatigue Severity Scale, the MS-specific Fatigue Scale, the Modified Fatigue Impact Scale (MFIS), the Pittsburgh Sleep Quality Index and a self-rating scale for depression. The Expanded Disability Status Score (EDSS) and the MS functional composite (MSFC) were evaluated before and after participation in the course. Results The total score and the Cognitive and Physical subscores of the MFIS showed significant improvements on both points of time. Scores in the Fatigue Severity Scale, MS-specific Fatigue Scale and Psychosocial Fatigue Impact Scale did not improve significantly. MS functional composite and EDSS remained unchanged after six weeks of course participation. Subjective sleep quality improved directly after participation in the course and after 7—9 months. The depression score decreased significantly to a normal level at the end of training and in the 7—9 month follow-up. Conclusion Fatigue management enables MS patients to cope with their fatigue and energy more effectively. Follow-up evaluations showed stable results after 7—9 months. Multiple Sclerosis 2008; 14: 500—505. http://msj.sagepub.com

scholarly journals Treatment of Fatigue in Multiple Sclerosis Patients: A Neurocognitive Approach

2011 ◽  
Vol 2011 ◽  
pp. 1-5 ◽  
Author(s):  
Mauro Catalan ◽  
Alessandra De Michiel ◽  
Alessio Bratina ◽  
Susanna Mezzarobba ◽  
Lorella Pellegrini ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Motor Planning ◽  
Rehabilitation Program ◽  
Severity Scale ◽  
Impact Scale ◽  
Disability Status ◽  
Neurocognitive Rehabilitation ◽  
Fatigue Severity ◽  
Fatigue Impact Scale ◽  
Multiple Sclerosis Patients

The objective of the study was to treat fatigue in patients with multiple sclerosis (MS) by a neurocognitive rehabilitation program aimed at improving motor planning by using motor imagery (MI). Twenty patients with clinically definite MS complaining of fatigue were treated for five weeks with exercises of neurocognitive rehabilitation twice a week. Patients were evaluated by Fatigue Severity Scale (FSS), Modified Fatigue Impact Scale (MFIS), MSQoL54, Expanded Disability Status Scale (EDSS), and MS Functional Composite (MSFC). After treatment, a decrease in fatigue was detected with both FSS () and MFIS (). MSFC () and MSQoL54 () scores improved compared to baseline. At six-month followup, the improvement was confirmed for fatigue (FSS, ; MFIS ) and for the physical subscale of MSQoL54 (). No differences in disability scales were found. These results show that neurocognitive rehabilitation, based on MI, could be a strategy to treat fatigue in MS patients.

Validation of the Russian version of the Fatigue Impact Scale and Fatigue Severity Scale in multiple sclerosis patients

2018 ◽  
Vol 138 (5) ◽  
pp. 408-416 ◽  
Author(s):  
Yury V. Gavrilov ◽  
Galina G. Shkilnyuk ◽  
Philipp O. Valko ◽  
Igor D. Stolyarov ◽  
Elena V. Ivashkova ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Fatigue Severity Scale ◽  
Severity Scale ◽  
Russian Version ◽  
Impact Scale ◽  
Fatigue Severity ◽  
Fatigue Impact Scale ◽  
Multiple Sclerosis Patients

Psychometric properties of the Fatigue Severity Scale and the Modified Fatigue Impact Scale

2013 ◽  
Vol 331 (1-2) ◽  
pp. 102-107 ◽  
Author(s):  
Y.C. Learmonth ◽  
D. Dlugonski ◽  
L.A. Pilutti ◽  
B.M. Sandroff ◽  
R. Klaren ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Fatigue Severity Scale ◽  
Severity Scale ◽  
Impact Scale ◽  
Fatigue Severity ◽  
Fatigue Impact Scale

scholarly journals The relationship between fatigability and sleep quality in people with multiple sclerosis

2016 ◽  
Vol 2 ◽  
pp. 205521731668277 ◽  
Author(s):  
Mayis Aldughmi ◽  
Jessie Huisinga ◽  
Sharon G Lynch ◽  
Catherine F Siengsukon
Keyword(s):  
Multiple Sclerosis ◽  
Sleep Quality ◽  
Quality Index ◽  
Sleep Disturbances ◽  
Performance Test ◽  
Pittsburgh Sleep Quality Index ◽  
Self Report ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
The Relationship

Background Perceived fatigue and fatigability are constructs of multiple sclerosis (MS)-related fatigue. Sleep disturbances lead to poor sleep quality, which has been found to be associated with perceived fatigue in people with MS (PwMS). However, the relationship between fatigability and sleep quality is unknown. Objective To explore the relationship between physical and cognitive fatigability with self-reported and objective measures of sleep quality in PwMS. Methods Fifty-one ambulatory PwMS participated in the study. Physical fatigability was measured by percent-change in meters walked on the six-minute walk test (6MWT) and in force exerted on a repeated maximal hand grip test. Cognitive fatigability was measured using response speed variability on the continuous performance test. Self-report sleep quality was measured using the Pittsburgh Sleep Quality Index, and objective sleep quality was measured using 1 week of actigraphy. Results Components of the Pittsburgh Sleep Quality Index and several actigraph parameters were significantly associated with physical fatigability and cognitive fatigability. However, controlling for depression eliminated the association between the sleep outcomes and cognitive fatigability and attenuated the association between the sleep outcomes and physical fatigability. Conclusion Poor sleep quality is related to fatigability in MS but depression appears to mediate these relationships.

Clinical trial of a formal group fatigue program in multiple sclerosis

2010 ◽  
Vol 16 (6) ◽  
pp. 724-732 ◽  
Author(s):  
CL Hugos ◽  
LF Copperman ◽  
BE Fuller ◽  
V. Yadav ◽  
J. Lovera ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Self Efficacy ◽  
Mixed Model ◽  
Control Program ◽  
Formal Group ◽  
Control Programs ◽  
Fatigue Management ◽  
Impact Scale ◽  
Fatigue Severity ◽  
Fatigue Impact Scale

Fatigue: Take Control is a novel program to teach fatigue management to people with multiple sclerosis (MS) following recommendations in the Fatigue and Multiple Sclerosis guideline. Fatigue: Take Control includes six 2-hour group sessions with DVD viewing, discussion and homework and accompanying participant and leader workbooks. While many people have participated in Fatigue: Take Control programs, its efficacy has not been determined. The objective of this study was to determine whether participation in Fatigue: Take Control reduces fatigue and increases self-efficacy in people with MS. Thirty participants were randomly assigned to a group who immediately participated in the program (FTC) or a wait-list group (WL). The primary outcome was the Modified Fatigue Impact Scale (MFIS) and secondary outcomes were the Multiple Sclerosis Self-Efficacy Scale (MSSE) and the Fatigue Severity Scale (FSS). The MFIS was administered on 10 occasions. Other measures were administered on four occasions. A mixed model tested the effects using all observations. Compared with the WL, the FTC group had significantly more improvement on the MFIS [F(1, 269) = 7.079, p = 0.008] and the MSSE [F(1, 111) = 5.636, p = 0.019]. No significant effect was found for the FSS. Across all visits, fatigue was significantly lower and self-efficacy was significantly higher for the FTC group compared with the WL group. This pilot study demonstrated significant effects in fatigue and self-efficacy among subjects taking the Fatigue: Take Control program, suggesting that this comprehensive program based on the Fatigue and Multiple Sclerosis guideline may be beneficial in MS.

scholarly journals Fatigue Is Associated with Poor Sleep in People with Multiple Sclerosis and Cognitive Impairment

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Michelle H. Cameron ◽  
Vanessa Peterson ◽  
Eilis A. Boudreau ◽  
Ashley Downs ◽  
Jesus Lovera ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cognitive Impairment ◽  
Sleep Quality ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Common Symptom ◽  
Cross Sectional ◽  
Impact Scale ◽  
Quality Sleep ◽  
Fatigue Severity

Background. Fatigue is the most common symptom in people with multiple sclerosis (MS). Poor sleep also occurs in this population.Objective. The objective of this study was to determine the relationship between fatigue and sleep quality in people with MS and cognitive impairment.Method. This cross-sectional study assessed relationships among fatigue, assessed with the Modified Fatigue Impact Scale (MFIS) and the Fatigue Severity Scale (FSS), sleep quality assessed with the Pittsburg Sleep Quality Index (PSQI), and demographics in 121 people with MS and cognitive impairment.Results. Fatigue was significantly correlated with poor sleep quality (MFIS:F=15.60,P<0.01; FSS:F=12.09,P<0.01). FSS scores were also significantly correlated with the PSQI subscore for daytime dysfunction and MFIS scores were significantly correlated with disability, age, and the PSQI subscores for sleep quality, sleep duration, and daytime dysfunction.Conclusions. This study demonstrates a relationship between fatigue and sleep quality in individuals with MS and cognitive impairment.

scholarly journals Diagnosis of sleepiness, fatigue and depression in patients with myasthenia gravis

2020 ◽  
Vol 10 (4) ◽  
pp. 27-37
Author(s):  
O. A. Kreis ◽  
T. M. Alekseeva ◽  
Yu. V. Gavrilov ◽  
P. O. Valko ◽  
Yu. Valko
Keyword(s):  
Myasthenia Gravis ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Fatigue Severity Scale ◽  
Severity Scale ◽  
Impact Scale ◽  
Fatigue Severity ◽  
Autoimmune Comorbidity ◽  
Fatigue Impact Scale ◽  
The Impact

Introduction. Examination of excessive daytime sleepiness, fatigue and depression in patients with myasthenia gravis is important for differential diagnosis of other disorders, and adds to a comprehensive clinical assessment.Objective. The aim is a comprehensive assessment of sleepiness, fatigue and depression and evaluation of the impact of autoimmune comorbidity on these symptoms in myasthenia gravis patients, using newly validated Russian versions of international questionnaires. The present article aims at familiarizing a wider Russian-speaking audience of specialists in the field of neuromuscular disease and sleep medicine with the main findings of our previously published work.Materials and methods. The study included 73 patients with MG and 230 control subjects. For sleepiness, fatigue and depression evaluation were used: Fatigue Severity Scale (FSS), Fatigue Impact Scale (FIS) (cognitive / physical / psychosocial subscales), Epworth Sleepiness Scale (ESS), Beck Depression Inventory (BDI) (cognitive-affective and somatic domains), Spielberger–Khanin State Trait Anxiety Inventory (STAI).Results. The Fatigue Severity Scale and Fatigue Impact Scale showed good psychometric properties and can be used to identify distinct aspects of fatigue in patients with myasthenia gravis. The studied patient cohort revealed clinically significant fatigue (69.9 %), excessive daytime sleepiness (15.1 %), moderate to severe depression (20.5 %), a high level of personal (64.4 %) and situational anxiety (27.4 %). Among 13 patients with myasthenia gravis and additional autoimmune comorbidity, there were no significant differences in the severity of sleepiness, fatigue and depression compared with the main group.Conclusion. The use of self-reported scale of sleepiness, fatigue and depression combined with careful clinical-neurological characterization adds to a more comprehensive view of the patient. The identification of sleepiness, fatigue and depression can guide therapeutic decisions and contributes to a better patient care. The presence of concomitant autoimmune pathology in patients with myasthenia gravis does not seem to increase the severity of sleepiness, fatigue and depression.

scholarly journals Fatigue as a symptom of neurological diseases

2021 ◽  
Vol 38 (2) ◽  
pp. 37-44
Author(s):  
T. V. Baidina ◽  
T. I. Kolesova ◽  
Yu. V. Malinina ◽  
T. N. Trushnikova ◽  
M. A. Danilova
Keyword(s):  
Neurological Diseases ◽  
Recovery Period ◽  
Brain Diseases ◽  
Severity Scale ◽  
Fatigue Syndrome ◽  
Impact Scale ◽  
The Central Nervous System ◽  
Fatigue Severity ◽  
Organic Brain ◽  
Fatigue Impact Scale

Objective. The aim of the work was to study the fatigue syndrome in various organic brain diseases. Materials and methods. Patients in the recovery period of hemispheric stroke, with Parkinson's disease and multiple sclerosis were examined. Along with the clinical one, there was conducted a study using the asthenia questionnaire MFI-20, FIS (Fatigue Impact Scale), FSS (Fatigue Severity Scale). Results. It has been established that patients with various diseases of the central nervous system have a syndrome of fatigue, which is a nosogenic one, that is, a consequence of organic brain damage.

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