Validation of the Fatigue Impact Scale in Multiple Sclerosis Patients in Serbia

Overview

Journal Brain Sci

Publisher MDPI

Date 2024 Aug 29

PMID 39199516

Authors

Olivera Tamas

Marija Kovacevic

Aleksandra Dobrodolac

Nada Rasuo Bosnic

Zuzana Tot Sari

Livija Despenic

Laszlo Vecsei

Krisztina Bencsik

Tatjana Pekmezovic

Jelena Drulovic

Affiliations

Soon will be listed here.

Abstract

Fatigue is one of the most frequent complaints of patients with multiple sclerosis (MS). The Fatigue Impact Scale (FIS), one of the 30 available fatigue questionnaires, is commonly applied because it evaluates multidimensional aspects of fatigue. The chief objectives of this study were to validate FIS and evaluate the psychometric properties of MS patients in Serbia. One hundred and twenty-one (121) MS patients and one hundred and twenty-two (122) age-, gender- and education-matched healthy control (HC) subjects completed the FIS and the Beck Depression Inventory. Internal consistency of the FIS subscales was determined using Cronbach's Alpha Coefficient. Test/retest reliability with an intra-class correlation coefficient (ICC) for each FIS subscale was performed. The total FIS score and subscale scores showed statistically significant differences between the MS patients and the HC subjects in both FIS sessions. Cronbach's Alpha was 0.966. All ICCs were statistically significant ( < 0.05). The Serbian version of this instrument may be useful as a clinical measure for fatigue and functionality in patients with MS.

Citing Articles

Validation of Psychometric Tools for Assessing Fatigue, Mood, and Sleep Quality: Application in the PREVES-STOP Study.

Di Lorenzo G, Buonerba C, Baio R, Strianese O, Cappuccio F, Verde A Medicina (Kaunas). 2025; 61(2).

PMID: 40005335 PMC: 11857234. DOI: 10.3390/medicina61020218.

References

Mills R, Young C . A medical definition of fatigue in multiple sclerosis. QJM. 2008; 101(1):49-60. DOI: 10.1093/qjmed/hcm122. View

Flensner G, Landtblom A, Soderhamn O, Ek A . Work capacity and health-related quality of life among individuals with multiple sclerosis reduced by fatigue: a cross-sectional study. BMC Public Health. 2013; 13:224. PMC: 3606119. DOI: 10.1186/1471-2458-13-224. View

Iriarte J, Subira M, Castro P . Modalities of fatigue in multiple sclerosis: correlation with clinical and biological factors. Mult Scler. 2000; 6(2):124-30. DOI: 10.1177/135245850000600212. View

Lundgren-Nilsson A, Tennant A, Jakobsson S, Simren M, Taft C, Dencker A . Validation of Fatigue Impact Scale with various item sets - a Rasch analysis. Disabil Rehabil. 2017; 41(7):840-846. DOI: 10.1080/09638288.2017.1411983. View

Krupp L, Larocca N, Steinberg A . The fatigue severity scale. Application to patients with multiple sclerosis and systemic lupus erythematosus. Arch Neurol. 1989; 46(10):1121-3. DOI: 10.1001/archneur.1989.00520460115022. View

Gavrilov Y, Shkilnyuk G, Valko P, Stolyarov I, Ivashkova E, Ilves A . Validation of the Russian version of the Fatigue Impact Scale and Fatigue Severity Scale in multiple sclerosis patients. Acta Neurol Scand. 2018; 138(5):408-416. DOI: 10.1111/ane.12993. View

Polman C, Reingold S, Banwell B, Clanet M, Cohen J, Filippi M . Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol. 2011; 69(2):292-302. PMC: 3084507. DOI: 10.1002/ana.22366. View

Dittner A, Wessely S, Brown R . The assessment of fatigue: a practical guide for clinicians and researchers. J Psychosom Res. 2004; 56(2):157-70. DOI: 10.1016/S0022-3999(03)00371-4. View

Armutlu K, Keser I, Korkmaz N, Akbiyik D, Sumbuloglu V, Guney Z . Psychometric study of Turkish version of Fatigue Impact Scale in multiple sclerosis patients. J Neurol Sci. 2007; 255(1-2):64-8. DOI: 10.1016/j.jns.2007.01.073. View

10.

Pittion-Vouyovitch S, Debouverie M, Guillemin F, Vandenberghe N, Anxionnat R, Vespignani H . Fatigue in multiple sclerosis is related to disability, depression and quality of life. J Neurol Sci. 2006; 243(1-2):39-45. DOI: 10.1016/j.jns.2005.11.025. View

11.

Newland P, Starkweather A, Sorenson M . Central fatigue in multiple sclerosis: a review of the literature. J Spinal Cord Med. 2016; 39(4):386-99. PMC: 5102292. DOI: 10.1080/10790268.2016.1168587. View

12.

Ayache S, Chalah M . Fatigue in multiple sclerosis - Insights into evaluation and management. Neurophysiol Clin. 2017; 47(2):139-171. DOI: 10.1016/j.neucli.2017.02.004. View

13.

Colosimo C, Millefiorini E, Grasso M, Vinci F, Fiorelli M, Koudriavtseva T . Fatigue in MS is associated with specific clinical features. Acta Neurol Scand. 1995; 92(5):353-5. DOI: 10.1111/j.1600-0404.1995.tb00145.x. View

14.

Mathiowetz V . Test-retest reliability and convergent validity of the Fatigue Impact Scale for persons with multiple sclerosis. Am J Occup Ther. 2003; 57(4):389-95. DOI: 10.5014/ajot.57.4.389. View

15.

Adibi I, Sanayei M, Tabibian F, Ramezani N, Pourmohammadi A, Azimzadeh K . Multiple sclerosis-related fatigue lacks a unified definition: A narrative review. J Res Med Sci. 2022; 27:24. PMC: 8995308. DOI: 10.4103/jrms.jrms_1401_20. View

16.

Kroencke D, Lynch S, Denney D . Fatigue in multiple sclerosis: relationship to depression, disability, and disease pattern. Mult Scler. 2000; 6(2):131-6. DOI: 10.1177/135245850000600213. View

17.

Fisk J, Pontefract A, Ritvo P, Archibald C, Murray T . The impact of fatigue on patients with multiple sclerosis. Can J Neurol Sci. 1994; 21(1):9-14. View

18.

Rottoli M, Gioia S, Frigeni B, Barcella V . Pathophysiology, assessment and management of multiple sclerosis fatigue: an update. Expert Rev Neurother. 2016; 17(4):373-379. DOI: 10.1080/14737175.2017.1247695. View

19.

Leocani L, Colombo B, Comi G . Physiopathology of fatigue in multiple sclerosis. Neurol Sci. 2008; 29 Suppl 2:S241-3. DOI: 10.1007/s10072-008-0950-1. View

20.

Enoka R, Almuklass A, Alenazy M, Alvarez E, Duchateau J . Distinguishing between Fatigue and Fatigability in Multiple Sclerosis. Neurorehabil Neural Repair. 2021; 35(11):960-973. DOI: 10.1177/15459683211046257. View