Volume 8, Issue 4 (2020)
Health Educ Health Promot 2020, 8(4): 203-208 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Ravanbod R, Eslami N, Ashtiani M. Assessment of Lower Extremity Muscle Strength in Diabetic Peripheral Neuropathy Patients Measured by Handheld Dynamometer. Health Educ Health Promot 2020; 8 (4) :203-208
URL: http://hehp.modares.ac.ir/article-5-47140-en.html
URL: http://hehp.modares.ac.ir/article-5-47140-en.html
1- Physiotherapy Department, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran , ravanbod@modares.ac.ir
2- Physiotherapy Department, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
2- Physiotherapy Department, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
Abstract: (1791 Views)
Aims: The aim was to investigate lower extremity muscle strength by a handheld dynamometer and to assess the possible correlation between fear of falling and muscle strength in diabetic peripheral neuropathy.
Materials & Methods: In this cross-sectional study, 15 patients with diabetic peripheral neuropathy were evaluated based on the Michigan neuropathy screening instrument, and ten healthy control were enrolled. The study was performed in the clinical and research center of Tarbiat Modares University's movement disorders between February and May 2020. Fall efficacy scale-International was completed to assess fear of falling. Muscle strength of the peroneus longus, tibilalis anterior, gastrosoleus, Hamstring, vastus lateralis, quadriceps femoris, gluteus maximus, and hip abductors of the dominant (right) lower extremity was measured by a handheld dynamometer. SPSS 22 was used for data processing. An independent t-test, Pearson correlation, and regression analysis were used to analyze data.
Findings: There was a moderate and negative correlation between fall efficacy scale-International and gastrosoleus time to peak (r=-0.0607; p=0.016), and a strong correlation between fall efficacy scale-International and Michigan neuropathy screening instrument (r=0.709; B=1.829; p=0.003). All the time-to-peak force results were higher in diabetic peripheral neuropathy than healthy control and became significant in tibilalis anterior, quadriceps femoris, and gluteus maximus (p<0.05). The augmented force of the gluteus maximus was significantly lower in diabetic peripheral neuropathy (p=0.021).
Conclusions: Gastrosoleus rate of force development has a negative correlation with fear of falling. Fall efficacy scale-International and Michigan neuropathy screening instruments have a strong correlation.
Materials & Methods: In this cross-sectional study, 15 patients with diabetic peripheral neuropathy were evaluated based on the Michigan neuropathy screening instrument, and ten healthy control were enrolled. The study was performed in the clinical and research center of Tarbiat Modares University's movement disorders between February and May 2020. Fall efficacy scale-International was completed to assess fear of falling. Muscle strength of the peroneus longus, tibilalis anterior, gastrosoleus, Hamstring, vastus lateralis, quadriceps femoris, gluteus maximus, and hip abductors of the dominant (right) lower extremity was measured by a handheld dynamometer. SPSS 22 was used for data processing. An independent t-test, Pearson correlation, and regression analysis were used to analyze data.
Findings: There was a moderate and negative correlation between fall efficacy scale-International and gastrosoleus time to peak (r=-0.0607; p=0.016), and a strong correlation between fall efficacy scale-International and Michigan neuropathy screening instrument (r=0.709; B=1.829; p=0.003). All the time-to-peak force results were higher in diabetic peripheral neuropathy than healthy control and became significant in tibilalis anterior, quadriceps femoris, and gluteus maximus (p<0.05). The augmented force of the gluteus maximus was significantly lower in diabetic peripheral neuropathy (p=0.021).
Conclusions: Gastrosoleus rate of force development has a negative correlation with fear of falling. Fall efficacy scale-International and Michigan neuropathy screening instruments have a strong correlation.
Article Type: Original Research |
Subject:
Health Care
Received: 2020/10/27 | Accepted: 2021/01/20 | Published: 2021/04/4
Received: 2020/10/27 | Accepted: 2021/01/20 | Published: 2021/04/4
References
1. International Diabetes Federation. IDF diabetes atlas. 9th Editon. Brussels: International Diabetes Federation; 2019. [Link]
2. Nomura T, Kawae T, Kataoka H, Ikeda Y. Assessment of lower extremity muscle mass, muscle strength, and exercise therapy in elderly patients with diabetes mellitus. Environ Health Prev Med. 2018;23(1):20. [Link] [DOI:10.1186/s12199-018-0710-7] [PMID] [PMCID]
3. Pfannkuche A, Alhajjar A, Ming A, Walter I, Piehler C, Mertens PR. Prevalence and risk factors of diabetic peripheral neuropathy in a diabetics cohort: Register initiative "diabetes and nerves". Endocr Metab Sci. 2020;1(1-2):100053. [Link] [DOI:10.1016/j.endmts.2020.100053]
4. Parasoglou P, Rao S, Slade JM. Declining skeletal muscle function in diabetic peripheral neuropathy. Clin Ther. 2017;39(6):1085-103. [Link] [DOI:10.1016/j.clinthera.2017.05.001] [PMID] [PMCID]
5. WHO. Falls [Internet]. Geneva: WHO; 2018 [Unknown Cited]. Available from: https://www.who.int/news-room/fact-sheets/detail/falls. [Link]
6. Kelly C, Fleischer A, Yalla S, Grewal GS, Albright R, Berns D, et al. fear of falling is prevalent in older adults with diabetes mellitus but is unrelated to level of neuropathy. J Am Podiatr Med Assoc. 2013;103(6):480-8. [Link] [DOI:10.7547/1030480] [PMID]
7. Sacco ICN, Amadio AC. Influence of the diabetic neuropathy on the behavior of electromyographic and sensorial responses in treadmill gait. Clin Biomech. 2003;18(5):426-34. [Link] [DOI:10.1016/S0268-0033(03)00043-3]
8. Rahimi M, Saadat P, Hosseini SR, Bayani MA, Bijani A. Muscle strength in diabetics compared to non-diabetic elderly subjects: A cross sectional and case-control study. Caspian J Intern Med. 2019;10(3):265-70. [Link]
9. Abadi L, Salahzadeh Z, Rezaei M, Oskouei AE, Azghani MR. Hip joint torques in type II diabetes with and without neuropathy. Hong Kong Physiother J. 2017;37:27-33. [Link] [DOI:10.1016/j.hkpj.2017.01.004] [PMID] [PMCID]
10. Bavaresco SS, de Oliveira LZ, dos Santos Albarello JC, Tognon AP, Bona CC, Bettinelli LA, et al. comparison between muscle strength and flexibility of the lower limbs of individuals with and without type 2 diabetes mellitus. Fisioterapia e Pesquisa. 2019;26:137-44. [Portuguese] [Link] [DOI:10.1590/1809-2950/17024826022019]
11. Ferreira J, Sartor C, Leal Â, Sacco I, Sato T, Ribeiro I, et al. The effect of peripheral neuropathy on lower limb muscle strength in diabetic individuals. Clin Biomech. 2017;43:67-73. [Link] [DOI:10.1016/j.clinbiomech.2017.02.003] [PMID]
12. Ijzerman TH, Schaper NC, Melai T, Meijer K, Willems PJB, Savelberg HHCM. Lower extremity muscle strength is reduced in people with type 2 diabetes, with and without polyneuropathy, and is associated with impaired mobility and reduced quality of life. Diabetes Res Clin Pract. 2012;95(3):345-51. [Link] [DOI:10.1016/j.diabres.2011.10.026] [PMID]
13. Nomura T, Ishiguro T, Ohira M, Ikeda Y. Diabetic polyneuropathy is a risk factor for decline of lower extremity strength in patients with type 2 diabetes. J Diabetes Investig. 2018;9(1):186-92. [Link] [DOI:10.1111/jdi.12658] [PMID] [PMCID]
14. Asada F, Nomura T, Tagami M, Kubota M, Ohashi M, Nomura M. Lower-limb muscle strength according to bodyweight and muscle mass among middle age patients with type 2 diabetes without diabetic neuropathy. J Phys Ther Sci. 2017;29(7):1181-5. [Link] [DOI:10.1589/jpts.29.1181] [PMID] [PMCID]
15. Vongsirinavarat M, Mathiyakom W, Kraiwong R, Hiengkaew V. Fear of falling, lower extremity strength, and physical and balance performance in older adults with diabetes mellitus. J Diabetes Res. 2020;2020:8573817. [Link] [DOI:10.1155/2020/8573817] [PMID] [PMCID]
16. Leenders M, Verdijk LB, van der Hoeven L, Adam JJ, van Kranenburg J, Nilwik R, et al. Patients with type 2 diabetes show a greater decline in muscle mass, muscle strength, and functional capacity with aging. J Am Med Dir Assoc. 2013;14(8):585-92. [Link] [DOI:10.1016/j.jamda.2013.02.006] [PMID]
17. Almurdhi MM, Reeves ND, Bowling FL, Boulton AJM, Jeziorska M, Malik RA. Reduced lower-limb muscle strength and volume in patients with type 2 diabetes in relation to neuropathy, intramuscular fat, and vitamin D levels. Diabetes Care. 2016;39(3):441-7. [Link] [DOI:10.2337/dc15-0995] [PMID] [PMCID]
18. Faul F, Erdfelder E, Buchner A, Lang AG. Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behav Res Methods. 2009;41(4):1149-60. [Link] [DOI:10.3758/BRM.41.4.1149] [PMID]
19. Feldman EL, Stevens MJ. Clinical testing in diabetic peripheral neuropathy. Can J Neurol Sci. 1994;21(4):S3-7. [Link] [DOI:10.1017/S0317167100040671] [PMID]
20. Baharlouei H, Salavati M, Akhbari B, Mosallanezhad Z, Mazaheri M, Negahban H. Cross-cultural validation of the Falls Efficacy Scale International (FES-I) using self-report and interview-based questionnaires among Persian-speaking elderly adults. Arch Gerontol Geriatr. 2013;57(3):339-44. [Link] [DOI:10.1016/j.archger.2013.06.005] [PMID]
21. Yardley L, Beyer N, Hauer K, Kempen G, Piot-Ziegler C, Todd C. Development and initial validation of the Falls Efficacy Scale-International (FES-I). Age Ageing. 2005;34(6):614-9. [Link] [DOI:10.1093/ageing/afi196] [PMID]
22. Mijnarends DM, Meijers JM, Halfens RJ, ter Borg S, Luiking YC, Verlaan S, et al. validity and reliability of tools to measure muscle mass, strength, and physical performance in community-dwelling older people: A systematic review. J Am Med Dir Assoc. 2013;14(3):170-8. [Link] [DOI:10.1016/j.jamda.2012.10.009] [PMID]
23. Kendall FP, McCreary EK, Provance PG. Muscles: Testing and function with posture and pain. Lippincott Williams & Wilkins Baltimore; 2005. [Link]
24. Perkins BA, Bril V. Diabetic neuropathy: A review emphasizing diagnostic methods. Clin Neurophysiol. 2003;114(7):1167-75. [Link] [DOI:10.1016/S1388-2457(03)00025-7]
25. Andersen H, Gadeberg PC, Brock B, Jakobsen J. Muscular atrophy in diabetic neuropathy: a stereological magnetic resonance imaging study. Diabetologia. 1997;40(9):1062-9. [Link] [DOI:10.1007/s001250050788] [PMID]
26. Gomes AA, Ackermann M, Ferreira JP, Orselli MIV, Sacco ICN. Muscle force distribution of the lower limbs during walking in diabetic individuals with and without polyneuropathy. J Neuroeng Rehabil. 2017;14(1):111. [Link] [DOI:10.1186/s12984-017-0327-x] [PMID] [PMCID]
27. Ferreira JSSP, Panighel JP, Silva ÉQ, Monteiro RL, Cruvinel Júnior RH, Sacco ICN. Foot function and strength of patients with diabetes grouped by ulcer risk classification (IWGDF). Diabetol Metab Syndr. 2019;11:89. [Link] [DOI:10.1186/s13098-019-0487-x] [PMID] [PMCID]
28. Hazari A, Maiya AG, Shivashankara KN, Agouris I, Monteiro A, Jadhav R, et al. Kinetics and kinematics of diabetic foot in type 2 diabetes mellitus with and without peripheral neuropathy: A systematic review and meta-analysis. Springerplus. 2016;5(1):1819. [Link] [DOI:10.1186/s40064-016-3405-9] [PMID] [PMCID]
29. Hazari A, Maiya AG, Shivashankara KN. Foot kinetic and kinematic profile in type 2 diabetes mellitus with peripheral neuropathy (a hospital-based study from south India). J Am Podiatr Med Assoc. 2019;109(1):36-49. [Link] [DOI:10.7547/17-059] [PMID]
30. Sung KS, Yi YG, Shin HI. Reliability and validity of knee extensor strength measurements using a portable dynamometer anchoring system in a supine position. BMC Musculoskeletal Disord. 2019;20(1):320. [Link] [DOI:10.1186/s12891-019-2703-0] [PMID] [PMCID]
31. Le-Ngoc L, Janssen J. Validity and reliability of a handheld dynamometer for dynamic muscle strength assessment. In: Kim CT. Rehabilitation Medicine. London: IntechOpen; 2012. [Link] [DOI:10.5772/37688]
32. Nordin F, Nyberg A, Sandberg C. Concurrent validity of a fixated handheld dynamometer for measuring isometric knee extension strength in adults with congenital heart disease. Eur J Physiother. 2020;22(4):206-11. [Link] [DOI:10.1080/21679169.2019.1573920]
33. Lu ML, Kincl L, Lowe B, Succop P, Bhattacharya A. Muscular activity of lower limb muscles associated with working on inclined surfaces. Ergonomics. 2015;58(2):278-90. [Link] [DOI:10.1080/00140139.2014.968634] [PMID] [PMCID]
34. Rodriguez Rosell D, Blanco F, Aagaard P, Badillo JJ. Physiological and methodological aspects of rate of force development assessment in human skeletal muscle. Clin Physiol Funct Imaging. 2018;38(5):743-62. [Link] [DOI:10.1111/cpf.12495] [PMID]
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |