Validation of the Fatigue Impact Scale in Multiple Sclerosis Patients in Serbia
Abstract
:1. Introduction
2. Materials and Methods
Statistical Analysis
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Minden, S.L.; Frankel, D.; Hadden, L.; Perloffp, J.; Srinath, K.P.; Hoaglin, D.C. The Sonya Slifka Longitudinal Multiple Sclerosis Study: Methods and sample characteristics. Mult. Scler. Houndmills Basingstoke Engl. 2006, 12, 24–38. [Google Scholar] [CrossRef] [PubMed]
- Krupp, L.B.; Alvarez, L.A.; LaRocca, N.G.; Scheinberg, L.C. Fatigue in multiple sclerosis. Arch. Neurol. 1988, 45, 435–437. [Google Scholar] [CrossRef] [PubMed]
- Mills, R.J.; Young, C.A. A medical definition of fatigue in multiple sclerosis. QJM Int. J. Med. 2008, 101, 49–60. [Google Scholar] [CrossRef] [PubMed]
- Iriarte, J.; Subirá, M.L.; Castro, P. Modalities of fatigue in multiple sclerosis: Correlation with clinical and biological factors. Mult. Scler. Houndmills Basingstoke Engl. 2000, 6, 124–130. [Google Scholar] [CrossRef]
- Leocani, L.; Colombo, B.; Comi, G. Physiopathology of fatigue in multiple sclerosis. Neurol. Sci. Off. J. Ital. Neurol. Soc. Ital. Soc. Clin. Neurophysiol. 2008, 29 (Suppl. S2), S241–S243. [Google Scholar] [CrossRef] [PubMed]
- 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. [Google Scholar] [CrossRef] [PubMed]
- Gümüş, H. Fatigue Can Be Objectively Measured in Multiple Sclerosis. Arch. Neuropsychiatry 2018, 55 (Suppl. S1), S76–S79. [Google Scholar]
- Rottoli, M.; La Gioia, S.; Frigeni, B.; Barcella, V. Pathophysiology, assessment and management of multiple sclerosis fatigue: An update. Expert. Rev. Neurother. 2017, 17, 373–379. [Google Scholar] [CrossRef] [PubMed]
- Newland, P.; Starkweather, A.; Sorenson, M. Central fatigue in multiple sclerosis: A review of the literature. J. Spinal Cord. Med. 2016, 39, 386–399. [Google Scholar] [CrossRef] [PubMed]
- Ayache, S.S.; Chalah, M.A. Fatigue in multiple sclerosis—Insights into evaluation and management. Neurophysiol. Clin. Clin. Neurophysiol. 2017, 47, 139–171. [Google Scholar] [CrossRef]
- Enoka, R.M.; Almuklass, A.M.; Alenazy, M.; Alvarez, E.; Duchateau, J. Distinguishing between Fatigue and Fatigability in Multiple Sclerosis. Neurorehabil. Neural Repair. 2021, 35, 960–973. [Google Scholar] [CrossRef] [PubMed]
- Brañas, P.; Jordan, R.; Fry-Smith, A.; Burls, A.; Hyde, C. Treatments for fatigue in multiple sclerosis: A rapid and systematic review. Health Technol. Assess. Winch. Engl. 2000, 4, 1–61. [Google Scholar] [CrossRef]
- Hadjimichael, O.; Vollmer, T.; Oleen-Burkey, M.; North American Research Committee on Multiple Sclerosis. Fatigue characteristics in multiple sclerosis: The North American Research Committee on Multiple Sclerosis (NARCOMS) survey. Health Qual. Life Outcomes 2008, 6, 100. [Google Scholar] [CrossRef]
- Fisk, J.D.; Pontefract, A.; Ritvo, P.G.; Archibald, C.J.; Murray, T.J. The impact of fatigue on patients with multiple sclerosis. Can. J. Neurol. Sci. J. Can. Sci. Neurol. 1994, 21, 9–14. [Google Scholar] [CrossRef]
- Téllez, N.; Río, J.; Tintoré, M.; Nos, C.; Galán, I.; Montalban, X. Fatigue in multiple sclerosis persists over time: A longitudinal study. J. Neurol. 2006, 253, 1466–1470. [Google Scholar] [CrossRef]
- Flensner, G.; Landtblom, A.M.; Söderhamn, O.; Ek, A.C. 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. [Google Scholar] [CrossRef]
- Young, C.A.; Mills, R.; Rog, D.; Sharrack, B.; Majeed, T.; Constantinescu, C.S.; Kalra, S.; Harrower, T.; Santander, H.; Courtald, G.; et al. Quality of life in multiple sclerosis is dominated by fatigue, disability and self-efficacy. J. Neurol Sci. 2021, 426, 117437. [Google Scholar] [CrossRef] [PubMed]
- Krupp, L.B.; LaRocca, N.G.; Muir-Nash, J.; Steinberg, A.D. The fatigue severity scale. Application to patients with multiple sclerosis and systemic lupus erythematosus. Arch. Neurol. 1989, 46, 1121–1123. [Google Scholar] [CrossRef]
- Fisk, J.D.; Ritvo, P.G.; Ross, L.; Haase, D.A.; Marrie, T.J.; Schlech, W.F. Measuring the functional impact of fatigue: Initial validation of the fatigue impact scale. Clin. Infect. Dis. Off. Publ. Infect. Dis. Soc. Am. 1994, 18 (Suppl. S1), S79–S83. [Google Scholar] [CrossRef]
- Larson, R.D. Psychometric Properties of the Modified Fatigue Impact Scale. Int. J. MS Care. 2013, 15, 15–20. [Google Scholar] [CrossRef]
- Polman, C.H.; Reingold, S.C.; Banwell, B.; Clanet, M.; Cohen, J.A.; Filippi, M.; Fujihara, K.; Havrdova, E.; Hutchinson, M.; Kappos, L.; et al. Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann. Neurol. 2011, 69, 292–302. [Google Scholar] [CrossRef] [PubMed]
- Beck, A.T.; Ward, C.H.; Mendelson, M.; Mock, J.; Erbaugh, J. An inventory for measuring depression. Arch. Gen. Psychiatry 1961, 4, 561–571. [Google Scholar] [CrossRef] [PubMed]
- Kurtzke, J.F. Rating neurologic impairment in multiple sclerosis: An expanded disability status scale (EDSS). Neurology 1983, 33, 1444–1452. [Google Scholar] [CrossRef] [PubMed]
- Dittner, A.J.; Wessely, S.C.; Brown, R.G. The assessment of fatigue: A practical guide for clinicians and researchers. J. Psychosom. Res. 2004, 56, 157–170. [Google Scholar] [CrossRef] [PubMed]
- Mathiowetz, V. Test-retest reliability and convergent validity of the Fatigue Impact Scale for persons with multiple sclerosis. Am. J. Occup. Ther. Off. Publ. Am. Occup. Ther. Assoc. 2003, 57, 389–395. [Google Scholar] [CrossRef] [PubMed]
- Debouverie, M.; Pittion-Vouyovitch, S.; Louis, S.; Guillemin, F. Validity of a French version of the fatigue impact scale in multiple sclerosis. Mult. Scler. Houndmills Basingstoke Engl. 2007, 13, 1026–1032. [Google Scholar] [CrossRef] [PubMed]
- Flensner, G.; Ek, A.C.; Söderhamn, O. Reliability and validity of the Swedish version of the Fatigue Impact Scale (FIS). Scand. J. Occup. Ther. 2005, 12, 170–180. [Google Scholar] [CrossRef] [PubMed]
- Losonczi, E.; Bencsik, K.; Rajda, C.; Lencsés, G.; Török, M.; Vécsei, L. Validation of the Fatigue Impact Scale in Hungarian patients with multiple sclerosis. Qual. Life Res. Int. J. Qual. Life Asp. Treat. Care Rehabil. 2011, 20, 301–306. [Google Scholar] [CrossRef] [PubMed]
- Gavrilov, Y.V.; Shkilnyuk, G.G.; Valko, P.O.; Stolyarov, I.D.; Ivashkova, E.V.; Ilves, A.G.; Nikiforova, I.G.; Shchelkova, O.Y.; Vasserman, L.I.; Vais, E.E.; et al. Validation of the Russian version of the Fatigue Impact Scale and Fatigue Severity Scale in multiple sclerosis patients. Acta Neurol. Scand. 2018, 138, 408–416. [Google Scholar] [CrossRef] [PubMed]
- Armutlu, K.; Keser, İ.; Korkmaz, N.; Akbıyık, D.İ.; Sümbüloğlu, V.; Güney, Z.; Karabudak, R. Psychometric study of Turkish version of Fatigue Impact Scale in multiple sclerosis patients. J. Neurol. Sci. 2007, 255, 64–68. [Google Scholar] [CrossRef] [PubMed]
- Häuser, W.; Almouhtasseb, R.; Muthny, F.A.; Grandt, D. Validation of a German Version of the Fatigue Impact Scale FIS-D. Z. Gastroenterol. 2003, 41, 973–982. [Google Scholar]
- Lundgren-Nilsson, Å.; Tennant, A.; Jakobsson, S.; Simrén, M.; Taft, C.; Dencker, A. Validation of Fatigue Impact Scale with various item sets—A Rasch analysis. Disabil. Rehabil. 2019, 41, 840–846. [Google Scholar] [CrossRef]
- 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, 39–45. [Google Scholar] [CrossRef] [PubMed]
- Borrelli, S.; Pereira Lima, J.; Dachy, B. The relation between the symbol digit modalities test, fatigue, depression, and anxiety symptoms in a Belgian MS cohort. Acta Neurol. Belg. 2023, 123, 2147–2153. [Google Scholar] [CrossRef]
- Kroencke, D.C.; Lynch, S.G.; Denney, D.R. Fatigue in multiple sclerosis: Relationship to depression, disability, and disease pattern. Mult. Scler. Houndmills Basingstoke Engl. 2000, 6, 131–136. [Google Scholar] [CrossRef]
- Téllez, N.; Río, J.; Tintoré, M.; Nos, C.; Galán, I.; Montalban, X. Does the Modified Fatigue Impact Scale offer a more comprehensive assessment of fatigue in MS? Mult. Scler. Houndmills Basingstoke Engl. 2005, 11, 198–202. [Google Scholar] [CrossRef] [PubMed]
- Colosimo, C.; Millefiorini, E.; Grasso, M.G.; Vinci, F.; Fiorelli, M.; Koudriavtseva, T.; Pozzilli, C. Fatigue in MS is associated with specific clinical features. Acta Neurol. Scand. 1995, 92, 353–355. [Google Scholar] [CrossRef]
- Bakshi, R.; Shaikh, Z.A.; Miletich, R.S.; Czarnecki, D.; Dmochowski, J.; Henschel, K.; Janardhan, V.; Dubey, N.; Kinkel, P.R. Fatigue in multiple sclerosis and its relationship to depression and neurologic disability. Mult. Scler. Houndmills Basingstoke Engl. 2000, 6, 181–185. [Google Scholar] [CrossRef] [PubMed]
MS Patients | HC Subjects | |
---|---|---|
Frequency (N) | 121 | 122 |
Age (mean ± SD), years | 45.26 ± 11.22 | 45.24 ± 11.27 |
Gender | ||
Female | 98 (81%) | 98 (80%) |
Male | 23 (19%) | 24 (20%) |
Educational status | ||
Elementary school | 18 (15%) | 18 (15%) |
Middle school | 68 (56%) | 73 (60%) |
High school | 11 (9%) | 3 (2%) |
University | 21 (18%) | 27 (22%) |
Not indicated | 3 (2%) | 1 (1%) |
Marital status | ||
Single | 21 (17%) | 20 (16%) |
Married | 75 (62%) | 80 (66%) |
Divorced | 14 (12%) | 14 (11%) |
Widowed | 10 (8%) | 8 (7%) |
Not indicated | 1 (1%) | 0 (0%) |
Disease duration (years) | 11.80 ± 9.45 | |
EDSS | 3.00 ± 2.08 |
MS Patients Mean ± S.D. | HC Subjects Mean ± S.D. | N (MS/HC) | t-Test (With Depression) | Mann–Whitney U test (with Depression) | Covariance Analysis (After Eliminating Depression) | |
---|---|---|---|---|---|---|
Test | p1(t) | p1(U) | p1(c) | |||
Cognitive subscale1 | 10.9 ± 10.7 | 4.1 ± 5.8 | 116/117 | <0.01 | <0.01 | 0.028 |
Physical subscale1 | 15.9 ± 11.5 | 4.1 ± 5.8 | 113/117 | <0.01 | <0.01 | <0.01 |
Social subscale1 | 23.4 ± 20.6 | 6.5 ± 9.8 | 101/109 | <0.01 | <0.01 | <0.01 |
Total (FIS1) | 48.4 ± 41.1 | 14.0 ± 19.6 | 96/105 | <0.01 | <0.01 | <0.01 |
BDI1 | 11.3 ± 11.2 | 4.2 ± 4.8 | 107/117 | <0.01 | <0.01 | - |
Retest | p2(t) | p2(U) | p2(c) | |||
Cognitive subscale2 | 9.7 ± 9.8 | 2.8 ± 4.3 | 117/118 | <0.01 | <0.01 | 0.027 |
Physical subscale2 | 14.6 ± 11.1 | 3.0 ± 4.5 | 121/122 | <0.01 | <0.01 | <0.01 |
Social subscale2 | 22.5 ± 20.7 | 5.7 ± 8.4 | 102/116 | <0.01 | <0.01 | <0.01 |
Total (FIS2) | 45.3 ± 40.3 | 11.3 ± 16.7 | 100/113 | <0.01 | <0.01 | <0.01 |
BDI2 | 10.6 ± 10.2 | 3.1 ± 4.0 | 108/116 | <0.01 | <0.01 | - |
Variable | α | ICC |
---|---|---|
Cognitive subscale | α = 0.974 | 0.966 |
Physical subscale | α = 0.980 | 0.974 |
Social subscale | α = 0.990 | 0.980 |
Total scores | α = 0.990 | 0.990 |
Item Number | Mean Score | Corrected Item-Total Correlation | Item Number | Mean Score | Corrected Item-Total Correlation |
---|---|---|---|---|---|
Cognitive subscale | Social subscale | ||||
1 | 29.67 | 0.704 | 2 | 29.86 | 0.772 |
5 | 29.68 | 0.805 | 3 | 29.53 | 0.829 |
6 | 29.77 | 0.825 | 4 | 29.75 | 0.751 |
11 | 29.70 | 0.726 | 7 | 29.44 | 0.884 |
18 | 29.88 | 0.868 | 8 | 29.70 | 0.881 |
21 | 29.84 | 0.831 | 9 | 29.68 | 0.835 |
26 | 29.75 | 0.844 | 12 | 29.52 | 0.787 |
30 | 29.79 | 0.849 | 15 | 29.56 | 0.859 |
34 | 29.73 | 0.819 | 16 | 29.77 | 0.858 |
35 | 29.66 | 0.819 | 19 | 29.84 | 0.846 |
Physical subscale | 20 | 29.76 | 0.895 | ||
10 | 29.53 | 0.907 | 22 | 29.62 | 0.852 |
13 | 29.46 | 0.859 | 25 | 29.56 | 0.879 |
14 | 29.42 | 0.866 | 27 | 29.63 | 0.904 |
17 | 29.46 | 0.882 | 28 | 29.70 | 0.827 |
23 | 29.39 | 0.886 | 29 | 29.64 | 0.784 |
24 | 29.55 | 0.892 | 33 | 29.87 | 0.820 |
31 | 29.37 | 0.888 | 36 | 29.72 | 0.877 |
32 | 29.99 | 0.678 | 39 | 29.81 | 0.828 |
37 | 29.42 | 0.890 | 40 | 29.68 | 0.892 |
38 | 29.41 | 0.888 |
Variable | First Session | Second Session |
---|---|---|
Cognitive subscale | 0.440 | 0.360 |
Physical subscale | 0.625 | 0.571 |
Social subscale | 0.555 | 0.541 |
FIS | 0.562 | 0.523 |
BDI | 0.491 | 0.492 |
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Tamaš, O.; Kovačević, M.; Dobrodolac, A.; Rašuo Bosnić, N.; Tot Šari, Ž.; Despenić, L.; Vécsei, L.; Bencsik, K.; Pekmezović, T.; Drulović, J. Validation of the Fatigue Impact Scale in Multiple Sclerosis Patients in Serbia. Brain Sci. 2024, 14, 825. https://doi.org/10.3390/brainsci14080825
Tamaš O, Kovačević M, Dobrodolac A, Rašuo Bosnić N, Tot Šari Ž, Despenić L, Vécsei L, Bencsik K, Pekmezović T, Drulović J. Validation of the Fatigue Impact Scale in Multiple Sclerosis Patients in Serbia. Brain Sciences. 2024; 14(8):825. https://doi.org/10.3390/brainsci14080825
Chicago/Turabian StyleTamaš, Olivera, Marija Kovačević, Aleksandra Dobrodolac, Nada Rašuo Bosnić, Žužana Tot Šari, Livija Despenić, László Vécsei, Krisztina Bencsik, Tatjana Pekmezović, and Jelena Drulović. 2024. "Validation of the Fatigue Impact Scale in Multiple Sclerosis Patients in Serbia" Brain Sciences 14, no. 8: 825. https://doi.org/10.3390/brainsci14080825