Prevalence and Predictors of Sarcopenia in Older People with Type 2 Diabetes

Authors

  • Bongkot Wiriya RN, MNS candidate, Ramathibodi School of Nursing, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Thailand.
  • Noppawan Piaseu RN, PhD, Associate Professor, Ramathibodi School of Nursing, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Thailand.
  • Nareemarn Neelapaichit RN, DrPH, Lecturer, Ramathibodi School of Nursing, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Thailand.
  • Sukanya Tantiprasoplap RN, MEd, DrPH, Lecturer, Ramathibodi School of Nursing, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Thailand.

Keywords:

Gait speed, Handgrip strength, Muscle mass, Older people, Sarcopenia, Thailand, Type 2 Diabetes Mellitus

Abstract

                  Sarcopenia is associated with loss of muscle mass and muscle strength, causing poor physical performance and falls; however, research about this is still limited in Thailand, particularly in older people with type 2 diabetes mellitus. This study investigated the prevalence of sarcopenia, and its components (muscle mass, handgrip strength and gait speed) associations with personal factors (age, gender, co-morbidity and time since diagnosis), and health and behavioral factors (hemoglobin A1c, body mass index, waist circumference, depression and physical activity) in older people with type 2 diabetes mellitus. Data were collected from 396 older people residing in Bangkok and surrounding areas using structured interviews, nutrition and health assessment, body composition analyzer, handgrip dynamometer and a 6-meter walk test. Descriptive statistics and univariate and multivariate logistic regression were used to analyze the data.

                    Results revealed that the prevalence of sarcopenia was 1.3%. The univariate logistic regression indicated that age and gender were significantly associated with handgrip strength and gait speed. Body mass index and waist circumference were significantly associated with only handgrip strength; while depression and physical activity were significantly associated with handgrip strength and gait speed. The multivariate logistic regression showed that age, gender and waist circumference could together predict handgrip strength. Moreover, age, gender, depression and physical activity together predicted gait speed. Nurses need to promote physical activity, monitor depression and provide advice to older people to help control their body weight and visceral fat.

References

1. The Office of Permanent Secretary for Ministry of Social Development and Human Security. ASEAN aging population 2016 ;2016[Cited 2017 January 29]. Available from http://ebooks.m-society.go.th/ebooks/view/196

2. Batsis JA, Villareal DT. Sarcopenic obesity in older adults: aetiology, epidemiology and treatment strategies. Nature Reviews Endocrinology. 2018:1.

3. Miljkovic N, Lim JY, Miljkovic I, Frontera WR. Aging of skeletal muscle fibers. Annals of Rehabilitation Medicine. 2015;39(2):155-62.

4. Aekplakorn W. (Eds.). The Fifth Thai National Health Examination Survey (NHES V). Nonthaburi, TH: Health Systems Research Institute;2014. [in Thai].

5. Cruz-Jentoft AJ, Montero-Errasquín B. Sarcopenia. In: Roller-Wirnsberger R, Singler K, Polidori MC, editors. Learning geriatric medicine: a study guide for medical students. Cham: Springer International Publishing; 2018. p. 99-105.

6. Limpawattana P, Kotruchin P, Pongchaiyakul C. Sarcopenia in Asia. Osteoporosis and Sarcopenia. 2015;1(2):92-7.

7. Chen L-K, Lee W-J, Peng L-N, Liu L-K, Arai H, Akishita M. Recent advances in sarcopenia research in Asia: 2016 update from the Asian Working Group for Sarcopenia. Journal of the American Medical Directors Association. 2016;17(8): 767.e1-. e7

8. Li CI, Li TC, Lin WY, Liu CS, Hsu CC, Hsiung CA, et al. Combined association of chronic disease and low skeletal muscle mass with physical performance in older adults in the Sarcopenia and Translational Aging Research in Taiwan (START) study. BMC Geriatr. 2015;15.

9. Kim KS, Park KS, Kim MJ, Kim SK, Cho YW, Park SW. Type 2 diabetes is associated with low muscle mass in older adults. Geriatrics & Gerontology International. 2014;14 Suppl 1:115-21.

10. Murata Y, Kadoya Y, Yamada S, Sanke T. Sarcopenia in elderly patients with type 2 diabetes mellitus: prevalence and related clinical factors. Diabetology International. 2018; 9(2):136-42.

11. Kim JH, Ahn HJ, Yang TY, Kim SY. Sarcopenic obesity and associated factors in older adults with diabetes: the 20092010 Korean National Health and Nutrition Examination Survey. Endocrine Abstracts. 2017; 49. GP162.

12. Jang HC. Sarcopenia, frailty, and diabetes in older adults. Diabetes & Metabolism Journal. 2016;40(3):182-9.

13. Mogi M, Horiuchi M. Diabetes and sarcopenia. In: Yamagishi S-i, editor. Diabetes and aging-related complications. Singapore: Springer Singapore; 2018. p. 141-51.

14. Thiengtham S, Somboontanont W, Leelahakul V, Hiengkaew V. Physical activity, nutritional status and depression related to sarcopenia community dwelling older adults, Journal of Nursing Science & Health. 2015; 38(4): 10. [in Thai].

15. Han P., Kang L, Guo Q, Wang J, Zhang W., Shen S, et al. Prevalence and factors associated with sarcopenia in suburbdwelling older Chinese using the Asian Working Group for Sarcopenia definition. J Gerontol A Biol Sci Med Sci. 2016; 71(4): 529-535.

16. Bian A-L, Hu H-Y, Rong Y-D, Wang J, Wang J-X, Zhou X-Z. A study on relationship between elderly sarcopenia and inflammatory factors IL-6 and TNF-α. European Journal of Medical Research. 2017;22(1):25.

17. Wu CH, Chen KT, Hou MT, Chang YF, Chang CS, Liu PY. Prevalence and associated factors of sarcopenia and severe sarcopenia in older Taiwanese living in rural community: the Tianliao old people study 04. Geriatrics & Gerontology International. 2014;14 Suppl 1:69-75.

18. Ishii S, Chang C, Tanaka T, Kuroda A, Tsuji T, Akishita M, et al. The association between sarcopenic obesity and depressive symptoms in older Japanese adults. PLoS ONE. 2016; 11(9): e0162898.

19. Gianoudis J, Bailey CA, Daly RM. Associations between sedentary behaviour and body composition, muscle function and sarcopenia in community-dwelling older adults. Osteoporosis International. 2015;26(2): 571-9.

20. Steffl M, Bohannon RW, Sontakova L, Tufano JJ, Shiells K, Holmerova I. Relationship between sarcopenia and physical activity in older people: a systematic review and meta-analysis. Clinical Interventions in Aging. 2017; 12:835-45.

21. Pongchaiyakul C, Limpawattana P, Kotruchin P, Rajatanavin R. Prevalence of sarcopenia and associated factors among Thai population. Journal of Bone and Mineral Metabolism. 2013;31(3):346-50.

22. Umegaki H. Sarcopenia and diabetes: hyperglycemia is a risk factor for age-associated muscle mass and functional reduction. Journal of Diabetes Investigation. 2015;6(6):623-4.

23. Beaudart C, Rizzoli R, Bruyère O, Reginster JY, Biver E. Sarcopenia: burden and challenges for public health. Archives of Public Health. 2014;72.

24. Khongsri N, Tongsuntud S, Limampai P, Kuptniratsaikul V. The prevalence of sarcopenia and related factors in a communitydwelling elders Thai population. Osteoporosis and Sarcopenia. 2016;2(2):110-5.

25. Promklang D, Piaseu N, Maruo SJ, Tantiprasoplap S. Factors associated with sarcopenia amongst older adults in congested communities in Bangkok. Thai Journal of Nursing Council. 2018; 33(1): 49-6. [in Thai].

26. Limpawattana P, Assantachai P, Krairit O, Kengkijkosol T, Wittayakom W, Pimporm J, et al. The predictors of skeletal muscle mass among young Thai adults: a study in the rural area of Thailand. Biomedical Research (India). 2016;27(1): 29-33.

27. Kelsey JL, Whittemore AS, Evans AS, Thompson WD. Methods in observational epidemiology. New York: Oxford University Press; 1996.

28. Jitapunkul S. Principles of geriatric medicine. In: Jitapunkul S., editor. Analysis of geriatric. Bangkok: Chulalongkorn University;1998. p. 88-89.

29. The Thai Hypertension Society. Thai guidelines on the treatment of hypertension update 2015. Trickthink Printing, Chiangmai; 2015.

30. Poungvarin N. Thai geriatric depression scale. Siriraj Medical Journal. 1994; 46(1): 7-11.

31. Grove SK, Burns N, Gray J. The practice of nursing research: appraisal, synthesis, and generation of evidence 7th ed. St. Louis, MO: Elsevier Saunders; 2013.

32. Wirojratana V, Leelahakul V, Khumtaveeporn P, Punsakd W. health promoting behaviors and health risks of the elderly in the health promotion center at faculty of nursing, Mahidol University. Thai Journal of Nursing Council. 2011; 26:140153. [in Thai].

33. Statistics Solutions. Assumptions of logistic regression; 2018[Cited 2019 February 25]. Available from www. statisticssolutions.com/assumptions-of-logistic-regression/

34. Morley JE, Malmstrom TK, Rodriguez-Manas L, Sinclair AJ. Frailty, sarcopenia and diabetes. J Am Med Dir Assoc. 2014;15(12):853-9.

35. Wang T, Feng X, Zhou J, Gong H, Xia S, Wei Q, et al. Type 2 diabetes mellitus is associated with increased risks of sarcopenia and pre-sarcopenia in Chinese elderly. Scientific Reports. 2016;6.

36. Cruz-Jentoft AJ, Bahat G, Bauer J, Boirie Y, Bruyere O, Cederholm T, et al. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. 2019;48(1):16-31.

Downloads

Published

2019-06-19

How to Cite

1.
Wiriya B, Piaseu N, Neelapaichit N, Tantiprasoplap S. Prevalence and Predictors of Sarcopenia in Older People with Type 2 Diabetes. PRIJNR [Internet]. 2019 Jun. 19 [cited 2024 Dec. 11];23(3):297-309. Available from: https://he02.tci-thaijo.org/index.php/PRIJNR/article/view/166204

Issue

Section

Original paper