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The journal of nutrition, health & aging

, Volume 20, Issue 3, pp 248–255 | Cite as

Associations of low muscle mass and the metabolic syndrome in Caucasian and Asian middle-aged and older adults

  • D. Scott
  • M. S. Park
  • T. N. Kim
  • J. Y. Ryu
  • H. C. Hong
  • H. J. Yoo
  • S. H. Baik
  • G. Jones
  • Kyung Mook  ChoiEmail author
Article

Abstract

Objective

Age-related declines in skeletal muscle mass may confer significant metabolic consequences for older adults. Associations of low muscle mass and metabolic syndrome (MetS) in Caucasians, and comparisons with associations observed in Asian populations, have not been reported. We examined associations of low muscle mass and metabolic syndrome (MetS) in Asian and Caucasian middle-aged and older men and women using criteria for low muscle mass.

Design, Setting and Participants

Two population-based studies of Australian (Tasmanian Older Adult Cohort Study; TASOAC; N=1005) and Korean (Korean Sarcopenic Obesity Study; KSOS; N=376) community-dwelling adults, mean age 62 and 58 years, respectively.

Measurements

Appendicular lean mass (aLM) determined by dual-energy X-ray absorptiometry and normalised to height squared (aLM/Ht2), weight (aLM/Wt) or body mass index (aLM/BMI). Participants in the lowest sex-specific 20% for aLM measures were defined as having low muscle mass. MetS was defined according to National Cholesterol Education Program Adult Treatment Panel III criteria.

Results

Although Australians demonstrated generally unfavourable anthropometric and metabolic characteristics compared to Koreans, prevalence of MetS was similar (29.5% in Australians and 31.4% in Koreans, respectively). Low aLM/Ht2 was associated with significantly reduced likelihood of MetS in both Australians (OR: 0.30, 95% CI 0.19 - 0.46) and Koreans (OR: 0.31, 95% CI 0.16 – 0.62). Conversely, low aLM/BMI was associated with increased odds for MetS in Australians (OR: 1.78, 95% CI 1.12–2.84), but not Koreans (OR: 1.33, 95% CI = 0.67–2.64).

Conclusion

Low aLM/BMI is associated with significantly increased likelihood of MetS in Australian adults, but not Koreans, suggesting potential differences in effects of low muscle mass relative to body mass on cardiometabolic health in Caucasian and Asian middle-aged and older adults. Low muscle mass relative to height is associated with reduced likelihood of MetS in both populations.

Keywords

Muscle mass metabolic syndrome aging sarcopenia 

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References

  1. 1.
    Alberti KGMM, Zimmet P, Shaw J. The metabolic syndrome - a new worldwide definition. Lancet 2005;366:1059–1062CrossRefPubMedGoogle Scholar
  2. 2.
    Grundy SM. Metabolic syndrome pandemic. Arterioscler Thromb Vasc Biol 2008;28:629–636CrossRefPubMedGoogle Scholar
  3. 3.
    Lim S, Shin H, Song JH, Kwak SH, Kang SM, Yoon JW, Choi SH, Cho SI, Park KS, Lee HK. Increasing Prevalence of Metabolic Syndrome in Korea The Korean National Health and Nutrition Examination Survey for 1998–2007. Diabetes Care 2011;34:1323–1328PubMedCentralCrossRefPubMedGoogle Scholar
  4. 4.
    Choi K, Lee J, Kim K, Kim D, Kim S, Shin D, Kim N, Park I, Choi D, Baik S. Factor analysis of the metabolic syndrome among elderly Koreans—the South-west Seoul Study. Diabet Med 2003;20:99–104CrossRefPubMedGoogle Scholar
  5. 5.
    Walston JD. Sarcopenia in older adults. Curr Opin Rheumatol 2012;24:623–627PubMedCentralCrossRefPubMedGoogle Scholar
  6. 6.
    Karakelides H, Nair KS. Sarcopenia of aging and its metabolic impact. Curr Top Dev Biol 2005;68:123–148CrossRefPubMedGoogle Scholar
  7. 7.
    Kim TN, Park MS, Yang SJ, Yoo HJ, Kang HJ, Song W, Seo JA, Kim SG, Kim NH, Baik SH. Prevalence and Determinant Factors of Sarcopenia in Patients With Type 2 Diabetes The Korean Sarcopenic Obesity Study (KSOS). Diabetes Care 2010;33:1497–1499PubMedCentralCrossRefPubMedGoogle Scholar
  8. 8.
    Bijlsma A, Meskers C, Ling C, Narici M, Kurrle S, Cameron I, Westendorp R, Maier A. Defining sarcopenia: The impact of different diagnostic criteria on the prevalence of sarcopenia in a large middle aged cohort. Age 2013;35:871–881PubMedCentralCrossRefPubMedGoogle Scholar
  9. 9.
    Lim S, Kim JH, Yoon JW, Kang SM, Choi SH, Park YJ, Kim KW, Lim JY, Park KS, Jang HC. Sarcopenic obesity: prevalence and association with metabolic syndrome in the Korean Longitudinal Study on Health and Aging (KLoSHA). Diabetes Care 2010;33:1652–1654PubMedCentralCrossRefPubMedGoogle Scholar
  10. 10.
    Lim K, Yang S, Kim T, Yoo H, Kang H, Song W, Baik S, Choi D, Choi K. The association between the ratio of visceral fat to thigh muscle area and metabolic syndrome: the Korean Sarcopenic Obesity Study (KSOS). Clin Endocrinol (Oxf) 2010;73:588–594CrossRefGoogle Scholar
  11. 11.
    Kim TN, Park MS, Lim KI, Yang SJ, Yoo HJ, Kang HJ, Song W, Seo JA, Kim SG, Kim NH. Skeletal muscle mass to visceral fat area ratio is associated with metabolic syndrome and arterial stiffness: the Korean Sarcopenic Obesity Study (KSOS). Diabetes Res Clin Pract 2011;93:285–291CrossRefPubMedGoogle Scholar
  12. 12.
    Chung J-Y, Kang H-T, Lee D-C, Lee H-R, Lee Y-J. Body composition and its association with cardiometabolic risk factors in the elderly: A focus on sarcopenic obesity. Arch Gerontol Geriatr 2013;56:270–278CrossRefPubMedGoogle Scholar
  13. 13.
    Park SH, Park JH, Park HY, Jang HJ, Kim HK, Park J, Shin KJ, Lee JG, Moon YS. Additional role of sarcopenia to waist circumference in predicting the odds of metabolic syndrome. Clin Nutr 2014;33:668–672CrossRefPubMedGoogle Scholar
  14. 14.
    Kim KM, Lim S, Choi SH, Kim JH, Shin CS, Park KS, Jang HC. Cardiometabolic Implication of Sarcopenia: The Korea National Health and Nutrition Examination Study (KNHANES) 2008–2010. IJC Metabolic & Endocrine 2014;4:63–69CrossRefGoogle Scholar
  15. 15.
    Studenski SA, Peters KW, Alley DE, Cawthon PM, McLean RR, Harris TB, Ferrucci L, Guralnik JM, Fragala MS, Kenny AM. The FNIH Sarcopenia Project: Rationale, Study Description, Conference Recommendations, and Final Estimates. J Gerontol A Biol Sci Med Sci 2014;69:547–558PubMedCentralCrossRefPubMedGoogle Scholar
  16. 16.
    Woo J, Arai H, Ng TP, Sayer AA, Wong M, Syddall H, Yamada M, Zeng P, Wu S, Zhang TM. Ethnic and geographic variations in muscle mass, muscle strength and physical performance measures. Eur Geriatr Med 2014;5:155–164CrossRefGoogle Scholar
  17. 17.
    Castaneda C, Janssen I, Castaneda C, Janssen I. Ethnic comparisons of sarcopenia and obesity in diabetes. Ethn Dis 2005;15:664–670PubMedGoogle Scholar
  18. 18.
    Kim T, Yang S, Yoo H, Lim K, Kang H, Song W, Seo J, Kim S, Kim N, Baik S. Prevalence of sarcopenia and sarcopenic obesity in Korean adults: the Korean sarcopenic obesity study. Int J Obes 2009;33:885–892CrossRefGoogle Scholar
  19. 19.
    Ostlund Jr RE, Staten M, Kohrt WM, Schultz J, Malley M. The ratio of waist-to-hip circumference, plasma insulin level, and glucose intolerance as independent predictors of the HDL2 cholesterol level in older adults. N Engl J Med 1990;322:229–234CrossRefPubMedGoogle Scholar
  20. 20.
    Delmonico MJ, Harris TB, Lee JS, Visser M, Nevitt M, Kritchevsky SB, Tylavsky FA, Newman AB. Alternative definitions of sarcopenia, lower extremity performance, and functional impairment with aging in older men and women. J Am Geriatr Soc 2007;55:769–774CrossRefPubMedGoogle Scholar
  21. 21.
    Baumgartner RN, Romero L, Garry PJ, Heymsfield SB, Koehler KM, Gallagher D, Ross RR, Lindeman RD. Epidemiology of sarcopenia among the elderly in New Mexico. Am J Epidemiol 1998;147:755–763CrossRefPubMedGoogle Scholar
  22. 22.
    Janssen I, Heymsfield SB, Ross R. Low relative skeletal muscle mass (sarcopenia) in older persons is associated with functional impairment and physical disability. J Am Geriatr Soc 2002;50:889–896CrossRefPubMedGoogle Scholar
  23. 23.
    Schmidt MD, Cleland VJ, Shaw K, Dwyer T, Venn AJ. Cardiometabolic risk in younger and older adults across an index of ambulatory activity. Am J Prev Med 2009;37:278–284CrossRefPubMedGoogle Scholar
  24. 24.
    Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, Gordon DJ, Krauss RM, Savage PJ, Smith SC. Diagnosis and management of the metabolic syndrome. An American Heart Association/National Heart, Lung, and Blood Institute scientific statement. Circulation 2005;112:2735–2752CrossRefPubMedGoogle Scholar
  25. 25.
    Srikanthan P, Hevener AL, Karlamangla AS. Sarcopenia exacerbates obesity-associated insulin resistance and dysglycemia: findings from the National Health and Nutrition Examination Survey III. PLoS ONE 2010;5:e10805PubMedCentralCrossRefPubMedGoogle Scholar
  26. 26.
    Park SW, Goodpaster BH, Strotmeyer ES, de Rekeneire N, Harris TB, Schwartz AV, Tylavsky FA, Newman AB. Decreased muscle strength and quality in older adults with type 2 diabetes The Health, Aging, and Body Composition Study. Diabetes 2006;55:1813–1818CrossRefPubMedGoogle Scholar
  27. 27.
    Moon S-S. Low skeletal muscle mass is associated with insulin resistance, diabetes, and metabolic syndrome in the Korean population: The Korea National Health and Nutrition Examination Survey (KNHANES) 2009–2010. Endocr J 2014;61:61–70CrossRefPubMedGoogle Scholar
  28. 28.
    Newman AB, Kupelian V, Visser M, Simonsick E, Goodpaster B, Nevitt M, Kritchevsky SB, Tylavsky FA, Rubin SM, Harris TB. Sarcopenia: alternative definitions and associations with lower extremity function. J Am Geriatr Soc 2003;51:1602–1609CrossRefPubMedGoogle Scholar
  29. 29.
    Sanada K, Iemitsu M, Murakami H, Gando Y, Kawano H, Kawakami R, Tabata I, Miyachi M. Adverse effects of coexistence of sarcopenia and metabolic syndrome in Japanese women. Eur J Clin Nutr 2012;66:1093–1098CrossRefPubMedGoogle Scholar
  30. 30.
    Zhou J, Zhang Q, Yuan X, Wang J, Li C, Sheng H, Qu S, Li H. Association between metabolic syndrome and osteoporosis: A meta-analysis. Bone 2013;57:30–35CrossRefPubMedGoogle Scholar
  31. 31.
    Penninx BW, Nicklas BJ, Newman AB, Harris TB, Goodpaster BH, Satterfield S, De Rekeneire N, Yaffe K, Pahor M, Kritchevsky SB. Metabolic syndrome and physical decline in older persons: results from the Health, Aging And Body Composition Study. J Gerontol A Biol Sci Med Sci 2009;64A:96–102PubMedCentralCrossRefGoogle Scholar
  32. 32.
    Frank A, Farthing J, Chilibeck P, Arnold C, Olszynski W, Kontulainen S. Community-dwelling female fallers have lower muscle density in their lower legs than non-fallers: evidence from the Saskatoon Canadian Multicentre Osteoporosis Study (CaMos) cohort. J Nutr Health Aging 2015;19:113–120CrossRefPubMedGoogle Scholar
  33. 33.
    Cooper C, Fielding R, Visser M, van Loon L, Rolland Y, Orwoll E, Reid K, Boonen S, Dere W, Epstein S. Tools in the Assessment of Sarcopenia. Calcif Tissue Int 2013;93:201–210PubMedCentralCrossRefPubMedGoogle Scholar
  34. 34.
    Sayer AA, Syddall HE, Dennison EM, Martin HJ, Phillips DIW, Cooper C, Byrne CD. Grip strength and the metabolic syndrome: Findings from the Hertfordshire Cohort Study. QJM 2007;100:707–713PubMedCentralCrossRefPubMedGoogle Scholar
  35. 35.
    Senechal M, McGavock JM, Church TS, Lee D-C, Earnest CP, Sui X, Blair SN. Cut Points of Muscle Strength Associated with Metabolic Syndrome in Men. Med SciGoogle Scholar

Copyright information

© Serdi and Springer-Verlag France 2016

Authors and Affiliations

  • D. Scott
    • 1
    • 2
  • M. S. Park
    • 3
  • T. N. Kim
    • 4
    • 5
  • J. Y. Ryu
    • 4
  • H. C. Hong
    • 4
  • H. J. Yoo
    • 4
  • S. H. Baik
    • 4
  • G. Jones
    • 6
  • Kyung Mook  Choi
    • 4
    Email author
  1. 1.Department of Medicine, School of Clinical Sciences, Faculty of Medicine, Nursing and Health SciencesMonash UniversityClaytonAustralia
  2. 2.Department of MedicineThe University of MelbourneSt AlbansAustralia
  3. 3.Department of Statistics, College of Natural SciencesSungshin Women’s UniversitySeoulKorea
  4. 4.Division of Endocrinology and Metabolism, Department of Internal MedicineKorea University Guro HospitalSeoulKorea
  5. 5.Department of Internal Medicine, Cardiovascular and Metabolic Disease Center, College of MedicineInje UniversityBusanKorea
  6. 6.Menzies Research InstituteUniversity of TasmaniaHobartAustralia

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