Does the Modified Fatigue Impact Scale offer a more comprehensive assessment of fatigue in MS?

2005 ◽  
Vol 11 (2) ◽  
pp. 198-202 ◽  
Author(s):  
N Téllez ◽  
J Río ◽  
M Tintoré ◽  
C Nos ◽  
I Galán ◽  
...  

Background: As a symptom of multiple sclerosis (MS), fatigue is difficult to manage because of its unknown etiology, the lack of efficacy of the drugs tested to date and the absence of consensus about which would be the ideal measure to assess fatigue. Objective: Our aim was to assess the frequency of fatigue in a sample of MS patients and healthy controls (HC) using two fatigue scales, the Fatigue Severity Scale (FSS) and the Modified Fatigue Impact Scale (MFIS) with physical, cognitive and psychosocial subscales. We also studied the relationship fatigue has with depression, disability and interferon beta. Methods: Three hundred and fifty-four individuals (231 MS patients and 123 HC) were included in this cross-sectional study. Fatigue was assessed using the FSS and MFIS. Depression was measured by the Beck Depression Inventory (BDI), and disability by the Expanded Disability Status Scale (EDSS). A status of fatigue was considered when the FSS≥ 5, of non-fatigue when the FSS≤4, and scores between 4.1 and 4.9 were considered doubtful fatigue cases. Results: Fifty-five percent of MS patients and 13% of HC were fatigued. The global MFIS score positively correlated with the FSS in MS and HC (r=0.68 for MS and r=0.59 for HC, p<0.0001). Nonetheless, the MFIS physical subscale showed the strongest correlation score with the FSS (r=0.75, p<0.0001). In addition, a prediction analysis showed the physical MFIS subscale to be the only independent predictor of FSS score (p<0.0001), suggesting other aspects of fatigue, as cognition and psychosocial functions, may be explored by the FSS to a lesser extent. Depression also correlated with fatigue (r=0.48 for the FSS and r=0.7 for the MFIS, p<0.0001) and, although EDSS correlated with fatigue as well, the scores decreased after correcting for depression. Interferon beta showed no relationship with fatigue. Conclusions: Fatigue is a frequent symptom found in MS patients and clearly related with depression. Each fatigue scale correlates with one another, indicating that they are measuring similar constructs. Nevertheless, spheres of fatigue as cognition and psychosocial functions are probably better measured by the MFIS, although this hypothesis will need to be confirmed with appropriate psychometrical testing.

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Michelle H. Cameron ◽  
Vanessa Peterson ◽  
Eilis A. Boudreau ◽  
Ashley Downs ◽  
Jesus Lovera ◽  
...  

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.


2020 ◽  
Vol 24 (5) ◽  
pp. 434-443
Author(s):  
Mehdi Sahmani ◽  
◽  
Nilofar Ahmadi ◽  
Somayeh Asadian ◽  
Talaat Dabaghi Ghaleh ◽  
...  

Background: Preeclampsia is a complex disorder of pregnancy with an unknown etiology. Numerous studies have shown the possible role of gene polymorphisms, especially metalloproteinases, in development of this disease, but there are no definitive results. Objective: This study aims to investigate the possible association between rs3918242 (−1562C>T) polymorphism in Matrix Metalloproteinase 9 (MMP9) gene with the risk of preeclampsia in pregnant women. Methods: In this cross-sectional study, participants were 90 pregnant women with preeclampsia and 199 healthy pregnant women (controls). The genotypes of rs3918242 polymorphism were investigated using Polymerase Chain Reaction technique and Limited Fragment Length Polymorphism method. Logistic regression analysis was used to investigate the relationship between rs3918242 polymorphism and preeclampsia. Findings: The frequency of CC, CT, TT genotypes of rs3918242 polymorphism was reported 47.8%, 47.8% and 4.2% in patients and 84.8, 13.1 and 2% in controls, respectively, and the difference between groups was significant (P<0.001). The frequency of TT genotype in patients was significantly higher than in controls (P<0.001). Moreover, the frequency of T allele in patients was 52.2%, while in controls it was 15.2% and the difference between the two groups was significant (P<0.001). Conclusion: The rs3918242 polymorphism of MMP9 gene plays an important role in the incidence of preeclampsia in pregnant women.


2013 ◽  
Vol 15 (3) ◽  
pp. 120-128 ◽  
Author(s):  
Jeffrey Wilken ◽  
Robert L. Kane ◽  
Cynthia L. Sullivan ◽  
Mark Gudesblatt ◽  
Sylvia Lucas ◽  
...  

Fatigue and cognitive impairment are debilitating features of multiple sclerosis (MS). ENER-G was a 12-month, open-label, multicenter, single-arm observational study designed to evaluate changes in fatigue and cognition in MS patients treated with natalizumab. Adults with relapsing MS and initiating natalizumab were enrolled. The primary endpoint was change in Visual Analog Scale for Fatigue (VAS-F) score over 12 weeks. Changes in Modified Fatigue Impact Scale (MFIS) score, Fatigue Severity Scale (FSS) score, and cognitive performance, using Automated Neuropsychological Assessment Metrics (ANAM), were also assessed. Patients (N = 89) had a mean age of 41 years and a median Expanded Disability Status Scale score of 3.0, and 83% had used at least two prior MS therapies. Significant improvements were observed and maintained at 12 weeks in VAS-F (mean ± SD baseline score, 77.7 ± 10.2; mean ± SD change, −14.9 ± 17.1; P &lt; .0001), MFIS (mean baseline score, 59.1 ± 12.2; mean change, −7.4 ± 11.8; P &lt; .0001), and FSS (median baseline score, 6.3 [range, 3.9–7.0]; median change, −0.4 [range, −2.9–1.4]; P &lt; .0001). Cognitive performance remained stable or improved (depending on the ANAM measure). Thus significant improvements in fatigue were maintained over time, and cognitive performance improved or remained stable up to 48 weeks after initiation of natalizumab in MS patients with some degree of fatigue.


2011 ◽  
Vol 17 (5) ◽  
pp. 613-622 ◽  
Author(s):  
C Veauthier ◽  
H Radbruch ◽  
G Gaede ◽  
CF Pfueller ◽  
J Dörr ◽  
...  

Background: Sleep disorders can cause tiredness. The relationship between sleep disorders and fatigue in patients with multiple sclerosis (MS) has not yet been investigated systematically.Objective: To investigate the relationship between fatigue and sleep disorders in patients with MS.Methods: Some 66 MS patients 20 to 66 years old were studied by overnight polysomnography. Using a cut-off point of 45 in the Modified Fatigue Impact Scale (MFIS), the entire cohort was stratified into a fatigued MS subgroup ( n = 26) and a non-fatigued MS subgroup ( n = 40).Results: Of the fatigued MS patients, 96% ( n = 25) were suffering from a relevant sleep disorder, along with 60% of the non-fatigued MS patients ( n = 24) ( p = 0.001). Sleep-related breathing disorders were more frequent in the fatigued MS patients (27%) than in the non-fatigued MS patients (2.5%). Significantly higher MFIS values were detected in all (fatigued and non-fatigued) patients with relevant sleep disorders (mean MFIS 42.8; SD 18.3) than in patients without relevant sleep disorders (mean MFIS 20.5; SD 17.0) ( p < 0.001). Suffering from a sleep disorder was associated with an increased risk of fatigue in MS (odds ratio: 18.5; 95% CI 1.6–208; p = 0.018).Conclusion: Our results demonstrate a clear and significant relationship between fatigue and sleep disorders.


2016 ◽  
Vol 2016 ◽  
pp. 1-5 ◽  
Author(s):  
Christian Veauthier ◽  
Gunnar Gaede ◽  
Helena Radbruch ◽  
Klaus-Dieter Wernecke ◽  
Friedemann Paul

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.


2011 ◽  
Vol 2011 ◽  
pp. 1-5 ◽  
Author(s):  
Mauro Catalan ◽  
Alessandra De Michiel ◽  
Alessio Bratina ◽  
Susanna Mezzarobba ◽  
Lorella Pellegrini ◽  
...  

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.


Crisis ◽  
2011 ◽  
Vol 32 (5) ◽  
pp. 272-279 ◽  
Author(s):  
Allison S. Christian ◽  
Kristen M. McCabe

Background: Deliberate self-harm (DSH) occurs with high frequency among clinical and nonclinical youth populations. Although depression has been consistently linked with the behavior, not all depressed individuals engage in DSH. Aims: The current study examined maladaptive coping strategies (i.e., self-blame, distancing, and self-isolation) as mediators between depression and DSH among undergraduate students. Methods: 202 students from undergraduate psychology courses at a private university in Southern California (77.7% women) completed anonymous self-report measures. Results: A hierarchical regression model found no differences in DSH history across demographic variables. Among coping variables, self-isolation alone was significantly related to DSH. A full meditational model was supported: Depressive symptoms were significantly related to DSH, but adding self-isolation to the model rendered the relationship nonsignificant. Limitations: The cross-sectional study design prevents determination of whether a casual relation exists between self-isolation and DSH, and obscures the direction of that relationship. Conclusions: Results suggest targeting self-isolation as a means of DSH prevention and intervention among nonclinical, youth populations.


2019 ◽  
Vol 7 (2) ◽  
pp. 115
Author(s):  
Dini Yuliansari

The well is one of the source water used for bathing, washing, and drinking by the citizens in Jiken Hamlet, Rarang Village, Terara Sub-District. Poor dug well construction conditions can affect the amount of coliform bacteria contained in the dug well water. The purpose of this study is to identify the construction of dug wells and the content of coliform bacteria in dug well water and determine the relationship between dug well construction and the content of coliform bacteria. This research is analytic with a cross sectional study design. The results were obtained from 11 samples of dug wells which were observed in construction and the coliform content was known that all samples did not requirements as good dug well construction. Coliform content test results showed that as many as 5 dug well water samples did not pass the clean water quality standards. The results of data analysis with the chi-square test variable construction of dug wells with coliform content variable  showed 0,172 > 0,05, then the concluded is the dug well not suitable to use by people in that area as a source of water for daily needs.


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