Factors associated with skeletal muscle mass, sarcopenia, and sarcopenic obesity in older adults: a multi-continent study

Stefanos Tyrovolas, Ai Koyanagi, Beatriz Olaya, Jose Luis Ayuso-Mateos, Marta Miret, Somnath Chatterji, Beata Tobiasz-Adamczyk, Seppo Koskinen, Matilde Leonardi, Josep Maria Haro, Stefanos Tyrovolas, Ai Koyanagi, Beatriz Olaya, Jose Luis Ayuso-Mateos, Marta Miret, Somnath Chatterji, Beata Tobiasz-Adamczyk, Seppo Koskinen, Matilde Leonardi, Josep Maria Haro

Abstract

Background: The aim of this study was to evaluate the factors associated with low skeletal muscle mass (SMM), sarcopenia, and sarcopenic obesity using nationally representative samples of people aged ≥65 years from diverse geographical regions of the world.

Methods: Data were available for 18 363 people aged ≥65 years who participated in the Collaborative Research on Ageing in Europe survey conducted in Finland, Poland, and Spain, and the World Health Organization Study on global AGEing and adult health survey conducted in China, Ghana, India, Mexico, Russia, and South Africa, between 2007 and 2012. A skeletal muscle mass index (SMI) was created to reflect SMM. SMM, SMI, and percent body fat (%BF) were calculated with specific indirect population formulas. These estimates were based on age, sex, weight, height, and race. Sarcopenia and sarcopenic obesity were defined with specific cut-offs.

Results: The prevalence of sarcopenia ranged from 12.6% (Poland) to 17.5% (India), and that of sarcopenic obesity ranged from 1.3% (India) to 11.0% (Spain). Higher %BF was associated with lower SMM in all countries, and with sarcopenia in five countries (p < 0.001). Compared to high levels of physical activity, low levels were related with higher odds for sarcopenia [OR 1.36 (95%CI 1.11-1.67)] and sarcopenic obesity [OR 1.80 (95%CI 1.23-2.64)] in the overall sample. Also, a dose-dependent association between higher numbers of chronic diseases and sarcopenic obesity was observed.

Conclusions: Physical activity and body composition changes such as high %BF are key factors for the prevention of sarcopenia syndrome.

Keywords: Older adults; Sarcopenia; Sarcopenic obesity; Skeletal muscle mass.

References

    1. WHO. Active ageing. A policy framework [On‐line]. Accessed 14 March 2014.
    1. Kinsella K, Wan H. An Aging World: 2008. U.S. Census Bureau, International Population Reports, P95/09‐1. Washington, DC: U.S. Government Printing Office; 2009.
    1. Sakuma K, Yamaguchi A. Sarcopenic obesity and endocrinal adaptation with age. Int J Endocrinol 2013;2013:204164.
    1. Cesari M, Pahor M, Lauretani F, Zamboni V, Bandinelli S, Bernabei R, et al. Skeletal muscle and mortality results from the InCHIANTI Study. J Gerontol A Biol Sci Med Sci 2009;64:377–384.
    1. Newman AB, Kupelian V, Visser M, Simonsick EM, Goodpaster BH, Kritchevsky SB, et al. Strength, but not muscle mass, is associated with mortality in the health, aging and body composition study cohort. J Gerontol A Biol Sci Med Sci 2006;61:72–77.
    1. Baumgartner RN, Koehler KM, Gallagher D, Romero L, Heymsfield SB, Ross RR, et al. Epidemiology of sarcopenia among the elderly in New Mexico. Am J Epidemiol 1998;147:755–763.
    1. Alchin DR. Sarcopenia: describing rather than defining a condition. J Cachexia Sarcopenia Muscle 2014;5:265–268.
    1. Stenholm S, Harris TB, Rantanen T, Visser M, Kritchevsky SB, Ferrucci L. Sarcopenic obesity—definition, etiology and consequences. Curr Opin Clin Nutr Metab Care 2008;11:693–700.
    1. Clark BC, Manini TM. Sarcopenia dynapenia. J Gerontol A Biol Sci Med Sci 2008;63:829–834.
    1. 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;50:889–896.
    1. Newman AB, Kupelian V, Visser M, Simonsick E, Goodpaster B, Nevitt M, et al. Sarcopenia: alternative definitions and associations with lower extremity function. J Am Geriatr Soc 2003;51:1602–1609.
    1. Delmonico MJ, Harris TB, Lee JS, Visser M, Nevitt M, Kritchevsky SB, et al. Alternative definitions of sarcopenia, lower extremity performance, and functional impairment with aging in older men and women. J Am Geriatr Soc 2007;55:769–774.
    1. Landi F, Cruz‐Jentoft AJ, Liperoti R, Russo A, Giovannini S, Tosato M, et al. Sarcopenia and mortality risk in frail older persons aged 80 years and older: results from ilSirenTe Study. Age Ageing 2013;42:203–209.
    1. Alexandre Tda S, Duarte YA, Santos JL, Wong R, Lebrão ML. Prevalence and associated factors of sarcopenia among elderly in Brazil: findings from the SABE study. J Nutr Health Aging 2014;18:284–290.
    1. Marcus RL, Addison O, Dibble LE, Foreman KB, Morrell G, Lastayo P. Intramuscular adipose tissue, sarcopenia, and mobility function in older individuals. J Aging Res 2012;2012:629–637.
    1. Dominguez LJ, Barbagallo M. The cardiometabolic syndrome and sarcopenic obesity in older persons. J Cardiometab Syndr 2007;2:183–189.
    1. Aubertin‐Leheudre M, Lord C, Goulet ED, Khalil A, Dionne IJ. Effect of sarcopenia on cardiovascular disease risk factors in obese postmenopausal women. Obesity (Silver Spring) 2006;14:2277–2283.
    1. Tyrovolas S, Psaltopoulou T, Pounis G, Papairakleous N, Bountziouka V, Zeimbekis A, et al. Nutrient intake in relation to central and overall obesity status among elderly people living in the Mediterranean islands: the MEDIS study. Nutr Metab Cardiovasc Dis 2011;21:438–445.
    1. . Accessed 11 September 2014.
    1. Tyrovolas S, Koyanagi A, Garin N, Olaya B, Ayuso‐Mateos JL, Miret M, et al. Determinants of the components of arterial pressure among older adults—the role of anthropometric and clinical factors: a multi‐continent study. Atherosclerosis 2015;238:240–249.
    1. Kowal P, Chatterji S, Naidoo N, Biritwum R, Fan W, Lopez Ridaura R, et al. Data resource profile: the World Health Organization Study on global AGEing and adult health (SAGE). Int J Epidemiol 2012;41:1639–1649.
    1. Deurenberg P, Weststrate JA, Seidell JC. Body mass index as a measure of body fatness: age‐ and sex‐specific prediction formulas. Br J Nutr 1991;65:105–114.
    1. Lee RC, Wang Z, Heo M, Ross R, Janssen I, Heymsfield SB. Total body skeletal muscle mass: development and cross‐validation of anthropometric prediction models. Am J Clin Nutr 2000;72:796–803.
    1. Studenski SA, Peters KW, Alley DE, Cawthon PM, McLean RR, Harris TB, et al. The FNIH sarcopenia project: rationale, study description, conference recommendations, and final estimates. J Gerontol A Biol Sci Med Sci 2014;69:547–558.
    1. Dam TT, Peters KW, Fragala M, Cawthon PM, Harris TB, McLean R, et al. An evidence‐based comparison of operational criteria for the presence of sarcopenia. J Gerontol A Biol Sci Med Sci 2014;69:584–590.
    1. Capistrant BD, Glymour MM, Berkman LF. Assessing mobility difficulties for cross‐national comparisons: results from the world health organization study on global ageing and adult health. J Am Geriatr Soc 2014;62:329–335.
    1. Tyrovolas S, Koyanagi A, Olaya B, Ayuso‐Mateos JL, Miret M, Chatterji S, et al. The role of muscle mass and body fat on disability among older adults: a cross‐national analysis. Exp Gerontol 2015;69:27–35.
    1. Ortiz O, Russell M, Daley TL, Baumgartner RN, Waki M, Lichtman S, et al. Differences in skeletal muscle and bone mineral mass between black and white females and their relevance to estimates of body composition. Am J Clin Nutr 1992;55:8–13.
    1. Cruz‐Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, et al. European Working Group on Sarcopenia in Older People. Sarcopenia: European consensus on definition and diagnosis: report of the European Working Group on Sarcopenia in Older People. Age Ageing 2010;39:412–423.
    1. Koyanagi A, Garin N, Olaya B, Ayuso‐Mateos JL, Chatterji S, Leonardi M, et al. Chronic conditions and sleep problems among adults aged 50 years or over in nine countries: a multi‐country study. PLoS One 2014:9e114742.
    1. Morley JE. Sarcopenia: diagnosis and treatment. J Nutr Health Aging 2008;12:452–456.
    1. Davison KK, Ford E, Cogswell M, Dietz W. Percentage of body fat and body mass index are associated with mobility limitations in people aged 70 and older from NHANES III. J Am Geriatr Soc 2002;50:1802–1809.
    1. Baumgartner RN. Body composition in healthy aging. Ann N Y Acad Sci 2000;904:437–448.
    1. Cawthon PM, Peters KW, Shardell MD, McLean RR, Dam TT, Kenny AM, et al. Cutpoints for low appendicular lean mass that identify older adults with clinically significant weakness. J Gerontol A Biol Sci Med Sci 2014;69:567–575.
    1. Short KR, Vittone JL, Bigelow ML, Proctor DN, Nair KS. Age and aerobic exercise training effects on whole body and muscle protein metabolism. Am J Physiol Endocrinol Metab 2004;286:E92–E101.
    1. Shangraw RE, Stuart CA, Prince MJ, Peters EJ, Wolfe RR. Insulin responsiveness of protein metabolism in vivo following bedrest in humans. Am J Physiol 1988;255:E548–E558.
    1. Symons TB, Sheffield‐Moore M, Chinkes DL, Ferrando AA, Paddon‐Jones D. Artificial gravity maintains skeletal muscle protein synthesis during 21 days simulated microgravity. J Appl Physiol 2009;107:34–38.
    1. Duvigneaud N, Matton L, Wijndaele K, Deriemaeker P, Lefevre J, Philippaerts R, et al. Relationship of obesity with physical activity, aerobic fitness and muscle strength in Flemish adults. J Sports Med Phys Fitness 2008;48:201–210.
    1. Roubenoff R. Sarcopenic obesity: the confluence of two epidemics. Obes Res. 2004;12:887–888, 2004.
    1. Waters DL, Baumgartner RN, Garry PJ, Vellas B. Advantages of dietary, exercise‐related, and therapeutic interventions to prevent and treat sarcopenia in adult patients: an update. Clin Interv Aging 2010;7:259–270.
    1. Freiberger E, Sieber C, Pfeifer K. Physical activity, exercise, and sarcopenia: future challenges. Wien Med Wochenschr 2011;161:416–425.
    1. Janssen I, Shepard DS, Katzmarzyk PT, Roubenoff R. The healthcare costs of sarcopenia in the United States. J Am Geriatr Soc 2004;52:80–85.
    1. Deurenberg P, Andreoli A, Borg P, Kukkonen‐Harjula K, de Lorenzo A, van Marken Lichtenbelt WD, et al. The validity of predicted body fat percentage from body mass index and from impedance in samples of five European populations. Eur J Clin Nutr 2001;55:973–979.
    1. Rech CR, Dellagrana RA, Marucci MFN, Petroski EL. validity of anthropometric equations for the estimation of muscle mass in elderly. Braz J Kineant 2012;14:23–31.

Source: PubMed

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