A meta-analysis of the efficacy of exercise in reducing symptom of fatigue in patients with multiple sclerosis
DOI:
https://doi.org/10.55225/hppa.574Keywords:
exercise activities, multiple sclerosis, fatigue, Modified Fatigue Impact Scale (MFIS), efficacy of exerciseAbstract
Introduction: Multiple sclerosis is chronic disorders of the central nervous system. One of the most common complaints in patients with multiple sclerosis is fatigue. Exercise can improve physical performance. Studies suggests that exercise activity can be beneficial for fatigue in patients with multiple sclerosis.
Objectives: To study influence of exercise activities on fatigue in patients with multiple sclerosis.
Methods: Researchers used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for reporting systematic reviews and meta-analysis. Researchers searched articles on PubMed, Google scholar and by manual search. Searched articles were screened for relevancy. By use of inclusion and exclusion criteria potential articles were selected.
Results: Out of 229 articles, finally 5 studies included in current meta-analysis. Exercise activities has effect on fatigue. Modified Fatigue Impact Scale (MFIS) score: SMD = 0.47, 95% CI = 0.06–0.87.
Conclusion: Exercise activities can provide beneficial effect on fatigue in patients with multiple sclerosis. This can help patients with multiple sclerosis in daily life activities There is wide scope for further studies to evaluate beneficial effects of exercise activities.
Downloads
References
Bahmani E, Hoseini R, Amiri E. The effect of home-based aerobic training and vitamin D supplementation on fatigue and quality of life in patients with multiple sclerosis during COVID-19 outbreak. Sci Sports. 2022;37(8):710-719. doi: 10.1016/j.scispo.2021.12.014. DOI: https://doi.org/10.1016/j.scispo.2021.12.014 Google Scholar
Wendebourg MJ, Heesen C, Finlayson M, Meyer B, Pöttgen J, Köpke S. Patient education for people with multiple sclerosis-associated fatigue: A systematic review. PLoS One. 2017;12(3):e0173025. doi: 10.1371/journal.pone.0173025. DOI: https://doi.org/10.1371/journal.pone.0173025 Google Scholar
Dobryakova E, Genova HM, DeLuca J, Wylie GR. The dopamine imbalance hypothesis of fatigue in multiple sclerosis and other neurological disorders. Front Neurol. 2015;6:52. doi: 10.3389/fneur.2015.00052. DOI: https://doi.org/10.3389/fneur.2015.00052 Google Scholar
Kargarfard M, Etemadifar M, Baker P, Mehrabi M, Hayatbakhsh R. Effect of aquatic exercise training on fatigue and health-related quality of life in patients with multiple sclerosis. Arch Phys Med Rehabil. 2012;93(10):1701-1708. doi: 10.1016/j.apmr.2012.05.006. DOI: https://doi.org/10.1016/j.apmr.2012.05.006 Google Scholar
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. 2000;4(27):1-61. doi: 10.3310/hta4270. DOI: https://doi.org/10.3310/hta4270 Google Scholar
Kargarfard M, Eetemadifar M, Mehrabi M, Maghzi AH, Hayatbakhsh MR. Fatigue, depression, and health-related quality of life in patients with multiple sclerosis in Isfahan, Iran. Eur J Neurol. 2012;19(3):431-437. doi: 10.1111/j.1468-1331.2011.03535.x. DOI: https://doi.org/10.1111/j.1468-1331.2011.03535.x Google Scholar
Fisk JD, Ritvo PG, Ross L, Haase DA, Marrie TJ, Schlech WF. Measuring the functional impact of fatigue: Initial validation of the fatigue impact scale. Clin Infect Dis. 1994;18(Suppl 1):S79-83. doi: 10.1093/clinids/18.supplement_1.s79. DOI: https://doi.org/10.1093/clinids/18.Supplement_1.S79 Google Scholar
Jackson MF, Quaal C, Reeves MA. Effects of multiple sclerosis on occupational and career patterns. Axone. 1991;13(1):16-17, 20-22. Google Scholar
Fisk JD, Pontefract A, Ritvo PG, Archibald CJ, Murray TJ. The impact of fatigue on patients with multiple sclerosis. Can J Neurol Sci. 1994;21(1):9-14. DOI: https://doi.org/10.1017/S0317167100048691 Google Scholar
Huisinga JM, Filipi ML, Stergiou N. Elliptical exercise improves fatigue ratings and quality of life in patients with multiple sclerosis. J Rehabil Res Dev. 2011;48(7):881-890. doi: 10.1682/jrrd.2010.08.0152. DOI: https://doi.org/10.1682/JRRD.2010.08.0152 Google Scholar
Dalgas U, Stenager E, Ingemann-Hansen T. Multiple sclerosis and physical exercise: Recommendations for the application of resistance-, endurance- and combined training. Mult Scler. 2008;14(1):35-53. doi: 10.1177/1352458507079445. DOI: https://doi.org/10.1177/1352458507079445 Google Scholar
Rietberg MB, Brooks D, Uitdehaag BMJ, Kwakkel G. Exercise therapy for multiple sclerosis. Cochrane Database Syst Rev. 2005;(1):CD003980. doi: 10.1002/14651858.CD003980.pub2. DOI: https://doi.org/10.1002/14651858.CD003980.pub2 Google Scholar
Mostert S, Kesselring J. Effects of a short-term exercise training program on aerobic fitness, fatigue, health perception and activity level of subjects with multiple sclerosis. Mult Scler. 2002;8(2):161-168. doi: 10.1191/1352458502ms779oa. DOI: https://doi.org/10.1191/1352458502ms779oa Google Scholar
Romberg A, Virtanen A, Ruutiainen J, et al. Effects of a 6-month exercise program on patients with multiple sclerosis: A randomized study. Neurology. 2004;63(11):2034--2038. doi: 10.1212/01.wnl.0000145761.38400.65. DOI: https://doi.org/10.1212/01.WNL.0000145761.38400.65 Google Scholar
Surakka J, Romberg A, Ruutiainen J, et al. Effects of aerobic and strength exercise on motor fatigue in men and women with multiple sclerosis: A randomized controlled trial. Clin Rehabil. 2004;18(7):737-746. doi: 10.1191/0269215504cr780oa. DOI: https://doi.org/10.1191/0269215504cr780oa Google Scholar
Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Med. 2009;6(7):e1000097. doi: 10.1371/journal.pmed.1000097. DOI: https://doi.org/10.1371/journal.pmed.1000097 Google Scholar
Ghajarzadeh M, Jalilian R, Eskandari G, Ali Sahraian M, RezaAzimi A. Validity and reliability of Persian version of Modified Fatigue Impact Scale (MFIS) questionnaire in Iranian patients with multiple sclerosis. Disabil Rehabil. 2013;35(18):1509-1512. doi: 10.3109/09638288.2012.742575. DOI: https://doi.org/10.3109/09638288.2012.742575 Google Scholar
Kos D, Kerckhofs E, Carrea I, Verza R, Ramos M, Jansa J. Evaluation of the Modified Fatigue Impact Scale in four different European countries. Mult Scler. 2005;11(1):76-80. doi: 10.1191/1352458505ms1117oa. DOI: https://doi.org/10.1191/1352458505ms1117oa Google Scholar
Fischer JS, LaRocca NG, Miller DM, Ritvo PG, Andrews H, Patti D. Recent developments in the assessment of quality of life in multiple sclerosis (MS). Mult Scler. 1999;5(4):251--259. doi: 10.1177/135245859900500410. DOI: https://doi.org/10.1177/135245859900500410 Google Scholar
Ritvo PG, Fischer, JS, Miller DM, Andrews H, Paty DW, LaRocca NG. MSQLI: Multiple Sclerosis Quality of Life Inventory: A User’s Manual. New York, NY: National Multiple Sclerosis Society; 1997. Google Scholar
Kerling A, Keweloh K, Tegtbur U, et al. Effects of a short physical exercise intervention on patients with multiple sclerosis (MS). Int J Mol Sci. 2015;16(7):15761–15775. doi: 10.3390/ijms160715761. DOI: https://doi.org/10.3390/ijms160715761 Google Scholar
Roehrs TG, Karst GM. Effects of an aquatics exercise program on quality of life measures for individuals with progressive multiple sclerosis. J Neurol Phys Ther. 2004;28(2):63-71. doi: 10.1097/01.npt.0000281186.94382.90. DOI: https://doi.org/10.1097/01.NPT.0000281186.94382.90 Google Scholar
Meta-Mar free online meta-analysis calculator [Internet]. Shinyapps.io. https://meta-mar.shinyapps.io/meta-analysis-calculator/. Published 2018. Accessed February 2, 2024. Google Scholar
Beheshti A, Chavanon M-L, Christiansen H. Emotion dysregulation in adults with attention deficit hyperactivity disorder: A meta-analysis. BMC Psychiatry. 2020;20(1):120. doi: 10.1186/s12888-020-2442-7. DOI: https://doi.org/10.1186/s12888-020-2442-7 Google Scholar
Hagins M, States R, Selfe T, Innes K. Effectiveness of yoga for hypertension: Systematic review and meta-analysis. Evid Based Complement Alternat Med. 2013;2013:649836. doi: 10.1155/2013/649836. DOI: https://doi.org/10.1155/2013/649836 Google Scholar
Shi L, Tan G-S, Zhang K. Relationship of the serum CRP level with the efficacy of metformin in the treatment of type 2 diabetes mellitus: A meta-analysis. J Clin Lab Anal. 2016;30(1):13-22. doi: 10.1002/jcla.21803. DOI: https://doi.org/10.1002/jcla.21803 Google Scholar
Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21(11):1539-1558. doi: 10.1002/sim.1186. DOI: https://doi.org/10.1002/sim.1186 Google Scholar
Zintzaras E, Ioannidis JPA. HEGESMA: Genome search meta-analysis and heterogeneity testing. Bioinformatics. 2005;21(18):3672-3673. doi: 10.1093/bioinformatics/bti536. DOI: https://doi.org/10.1093/bioinformatics/bti536 Google Scholar
Zintzaras E, Ioannidis JPA. Heterogeneity testing in meta-analysis of genome searches. Genet Epidemiol. 2005;28(2):123-137. doi: 10.1002/gepi.20048. DOI: https://doi.org/10.1002/gepi.20048 Google Scholar
Deeks J, Higgins JP. Analysing data and undertaking meta-analysis. In: Higgins JP, Green S, eds. Cochrane Handbook for Systematic Reviews of Interventions. Chichester: John Wiley & Sons; 2008:243-296. DOI: https://doi.org/10.1002/9780470712184.ch9 Google Scholar
Cakt BD, Nacir B, Genc H, et al. Cycling progressive resistance training for people with multiple sclerosis: A randomized controlled study. Am J Phys Med Rehabil. 2010;89(6):446-457. doi: 10.1097/PHM.0b013e3181d3e71f. DOI: https://doi.org/10.1097/PHM.0b013e3181d3e71f Google Scholar
Oken BS, Kishiyama S, Zajdel D, et al. Randomized controlled trial of yoga and exercise in multiple sclerosis. Neurology. 2004;62(11):2058-2064. doi: 10.1212/01.wnl.0000129534.88602.5c. DOI: https://doi.org/10.1212/01.WNL.0000129534.88602.5C Google Scholar
McCullagh R, Fitzgerald AP, Murphy RP, Cooke G. Long-term benefits of exercising on quality of life and fatigue in multiple sclerosis patients with mild disability: A pilot study. Clin. Rehabil. 2008;22(3), 206-214. doi: 10.1177/0269215507082283. DOI: https://doi.org/10.1177/0269215507082283 Google Scholar
De Groot MH, Phillips SJ, Eskes GA. Fatigue associated with stroke and other neurologic conditions: Implications for stroke rehabilitation. Arch Phys Med Rehabil. 2003;84(11):1714-1720. doi: 10.1053/S0003-9993(03)00346-0. DOI: https://doi.org/10.1053/S0003-9993(03)00346-0 Google Scholar
White LJ, Castellano V. Exercise and brain health – implications for multiple sclerosis: Part II – immune factors and stress hormones. Sports Med. 2008;38(3):179-187. doi: 10.2165/00007256-200838030-00001. DOI: https://doi.org/10.2165/00007256-200838030-00001 Google Scholar
White LJ, Castellano V. Exercise and brain health-implications for multiple sclerosis: Part 1 – neuronal growth factors. Sports Med. 2008;38(2):91-100. doi: 10.2165/00007256-200838020-00001. DOI: https://doi.org/10.2165/00007256-200838020-00001 Google Scholar
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Tejas P. Ghuntla, Jyoti R. Dholakiya
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.