A meta-analysis of the efficacy of exercise in reducing symptom of fatigue in patients with multiple sclerosis

Autor

DOI:

https://doi.org/10.55225/hppa.574

Słowa kluczowe:

exercise activities, multiple sclerosis, fatigue, Modified Fatigue Impact Scale (MFIS), efficacy of exercise

Abstrakt

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.

Statystyka pobrań

Statystyki pobrań nie są jeszcze dostępne

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.   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.   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.   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.   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.   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.   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.   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.   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.   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.   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.   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.   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.   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.   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.   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.   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.   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.   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.   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.   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.   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.   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.   Google Scholar

Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21(11):1539-1558. doi: 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.   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.   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.   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.   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.   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.   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.   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.   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.   Google Scholar

Opublikowane

2024-07-08

Jak cytować

Tejas P. Ghuntla, & Dholakiya, J. R. . (2024). A meta-analysis of the efficacy of exercise in reducing symptom of fatigue in patients with multiple sclerosis. Health Promotion & Physical Activity, (EARLY ACCESS). https://doi.org/10.55225/hppa.574

Numer

Dział

Metaanaliza