Literature DB >> 28360718

Correlation of Fatigue with Depression, Disability Level and Quality of Life in Patients with Multiple Sclerosis.

Selma Kaya Aygünoğlu1, Arif Çelebi2, Nilgün Vardar3, Esra Gürsoy2.   

Abstract

INTRODUCTION: Fatigue is a subjective and non-specific symptom; therefore, evaluation of fatigue is quite difficult. Fatigue has been reported in 75%-87% of patients with multiple sclerosis (MS) and two-thirds of these patients indicated fatigue as one of the worst three common symptoms that they experienced. This study was conducted to measure the intensity, frequency and the characteristics of fatigue in patients with MS. Moreover, the effect of fatigue on the quality of life and its association with depression and disability were evaluated.
METHODS: One hundred and twenty patients with multiple sclerosis (84 women and 36 men) were included in our study. The patients' sociodemographic characteristics and their experiences on symptoms of fatigue were questioned. Presence and degree of fatigue were assessed using the fatigue severity scale (FSS). Disability status was detected with expanded disability status scale (EDSS). The Multiple Sclerosis Quality of Life (MSQoL-54) survey was conducted to evaluate the quality of life of patients and Beck Depression Inventory (BDI) was used to determine the current depression status. Patients were grouped into fatigue and non-fatigue groups based on FSS. Both groups were compared according to their age, sex, MS clinical types, course of the disease and scores of EDSS, BDI and MSQoL-54.
RESULTS: Seventy percent of patients reported fatigue and 38% of these patients defined fatigue as their most disabling symptom. There was no correlation of fatigue with age, sex and disease duration. The correlation of fatigue and educational level was negative and weak (p<.05, r=-.214) and the correlation between fatigue and MS clinical types were significant but weak (p<.01, r=.228). Patients with fatigue had higher EDSS and BDI scores. In addition, FSS scores were found to be statistically meaningful and positively correlated with both EDSS and BDI scores (r=.404, r=.476, p<.01). Furthermore, our findings revealed that the quality of life in patients with MS and fatigue was poor (r=-.58 p<.01). Similarly, a negative connection was found between MSQoL-54 sub-scales and fatigue.
CONCLUSION: This study proved that fatigue has a positive correlation with depression and disability and a negative significant relation with the quality of life of patients with MS.

Entities:  

Keywords:  Multiple sclerosis; depression; fatigue; quality of life

Year:  2015        PMID: 28360718      PMCID: PMC5353056          DOI: 10.5152/npa.2015.8714

Source DB:  PubMed          Journal:  Noro Psikiyatr Ars        ISSN: 1300-0667            Impact factor:   1.339


  25 in total

1.  Fatigue in multiple sclerosis: a comparison of different rating scales and correlation to clinical parameters.

Authors:  P Flachenecker; T Kümpfel; B Kallmann; M Gottschalk; O Grauer; P Rieckmann; C Trenkwalder; K V Toyka
Journal:  Mult Scler       Date:  2002-12       Impact factor: 6.312

2.  Fatigue in multiple sclerosis: relationship to depression, disability, and disease pattern.

Authors:  D C Kroencke; S G Lynch; D R Denney
Journal:  Mult Scler       Date:  2000-04       Impact factor: 6.312

3.  Cross-cultural adaptation and validation of multiple sclerosis quality of life questionnaire (MSQOL-54) in a Turkish multiple sclerosis sample.

Authors:  Egemen Idiman; Fatma Uzunel; Serkan Ozakbas; Nuray Yozbatiran; Meral Oguz; Belgin Callioglu; Nazan Gokce; Zuhal Bahar
Journal:  J Neurol Sci       Date:  2005-11-08       Impact factor: 3.181

4.  Spiroergometric and spirometric parameters in patients with multiple sclerosis: are there any links between these parameters and fatigue, depression, neurological impairment, disability, handicap and quality of life in multiple sclerosis?

Authors:  K Rasova; P Brandejsky; E Havrdova; M Zalisova; P Rexova
Journal:  Mult Scler       Date:  2005-04       Impact factor: 6.312

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Journal:  Arch Phys Med Rehabil       Date:  1996-02       Impact factor: 3.966

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Journal:  Neurology       Date:  1996-03       Impact factor: 9.910

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  6 in total

1.  Differentiating Multiple Sclerosis from Myalgic Encephalomyelitis and Chronic Fatigue Syndrome.

Authors:  L A Jason; D Ohanian; A Brown; M Sunnquist; S McManimen; L Klebek; P Fox; M Sorenson
Journal:  Insights Biomed       Date:  2017-06-12

2.  Comparison of the Psychometric Properties of Three Fatigue Scales in Persian-Speaking Patients with Multiple Sclerosis.

Authors:  Shabnam Behrangrad; Amin Kordi Yoosefinejad
Journal:  Int J MS Care       Date:  2020-02-14

3.  Quality of life in adults with multiple sclerosis: a systematic review.

Authors:  Irene Gil-González; Agustín Martín-Rodríguez; Rupert Conrad; María Ángeles Pérez-San-Gregorio
Journal:  BMJ Open       Date:  2020-11-30       Impact factor: 2.692

4.  Prevalence and burden of multiple sclerosis-related fatigue: a systematic literature review.

Authors:  Abril Oliva Ramirez; Alexander Keenan; Olivia Kalau; Evelyn Worthington; Lucas Cohen; Sumeet Singh
Journal:  BMC Neurol       Date:  2021-12-02       Impact factor: 2.474

5.  Quality of Life in Multiple Sclerosis Patients: Influence of Gender, Age and Marital Status.

Authors:  Selma Sabanagic-Hajric; Enra Suljic; Amra Memic-Serdarevic; Gorana Sulejmanpasic; Nevena Mahmutbegovic
Journal:  Mater Sociomed       Date:  2022-03

6.  Psychosocial and Medical Determinants of Health-related Quality of Life in Patients with Relapsing-Remitting Multiple Sclerosis.

Authors:  Isaac Rahimian Boogar; Siavash Talepasand; Mohammad Jabari
Journal:  Noro Psikiyatr Ars       Date:  2018-03-19       Impact factor: 1.339

  6 in total

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