Evaluation of sarcopenia in older adults in extreme longevity using different methods and its relationship to cognitive performance
DOI:
https://doi.org/10.11606/issn.2317-0190.v27i3a174634Keywords:
Sarcopenia, Anthropometry, Body Mass Index, Cognition, Aged, 80 and overAbstract
Sarcopenia is highly prevalent in older adults, and generates several individual and social challenges for public health, which makes screening it fundamental. Objective: To evaluate the relationship between skeletal muscle mass (SMM) and calf circumference (CC), body mass index (BMI) and cognitive performance of older adults in extreme longevity. Method: A cross-sectional and quantitative research was carried out with n = 69 elderly people aged 90 years or older, treated at the Unified Health System. Sociodemographic and anthropometric data were collected. The muscle mass index (MMI) was calculated based on the SMM, which was estimated by the formula of Lee and collaborators. The definition of sarcopenia used was proposed by Janssen and collaborators. CC was measured, BMI was calculated, and cognitive performance was assessed by the Verbal Fluency (VF) test. The relationship between the variables was analyzed using Spearman's correlation test. Results: All older adults evaluated were considered to have severe sarcopenia according to the MMI. According to the CC, 39.4% of men and 52.8% of women had indicative values for sarcopenia; and by BMI, 33.3% of men and 36.1% of women have low body weight. The only variables that showed a significant and direct relationship were BMI and CC, for men and women. Conclusion: No correlation was found between SMM and CC, BMI and cognitive performance. The evaluation of sarcopenia in long-lived elderly should be carried out using methods that are more reliable. The high prevalence of sarcopenia highlights the urgency of looking at the group of extreme longevity.
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References
Debia N, Silveira NDR. Indicadores socioculturais e histórias de vida de idosos longevos: heterogeneidade e ressignificações de hábitos na velhice. Rev Kairós Ger. 2019;22(1):291-305. Doi: https://doi.org/10.23925/2176-901X.2019v22i1p291-305
Instituto Brasileiro de Geografia e Estatística. Estatísticas sociais [texto na Internet]. Rio de Janeiro: IBGE; c2017 [citado 2020 Abr 19]. Disponível em: https://agenciadenoticias.ibge.gov.br/agencia-sala-de-imprensa/2013-agencia-de-noticias/releases/18470-em-2016-expectativa-de-vida-era-de-75-8-anos
Quaresma MLB, Ribeirinho C. Envelhecimento – desafios do Séc. XXI. Rev Kairós Ger. 2016;19(3):29-49. Doi: https://doi.org/10.23925/2176-901X.2016v19i3p29-49
Marzetti E, Calvani R, Tosato M, Cesari M, Di Bari M, Cherubini A, et al. Sarcopenia: an overview. Aging Clin Exp Res. 2017;29(1):11–17. Doi: http://dx.doi.org/10.1007/s40520-016-0704-5
Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, et al. Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People. Age Ageing. 2010;39(4):412–23. Doi: http://dx.doi.org/10.1093/ageing/afq034
Chuang SY, Chang HY, Lee MS, Chia-Yu Chen R, Pan WH. Skeletal muscle mass and risk of death in an elderly population. Nutr Metab Cardiovasc Dis. 2014;24(7):784–91. Doi: http://dx.doi.org/10.1016/j.numecd.2013.11.010
Srikanthan P, Karlamangla AS. Muscle mass index as a predictor of longevity in older adults. Am J Med. 2014;127(6):547–53. Doi: http://dx.doi.org/10.1016/j.amjmed.2014.02.007
Graf CE, Pichard C, Herrmann FR, Sieber CC, Zekry D, Genton L. Prevalence of low muscle mass according to body mass index in older adults. Nutrition. 2017;34:124-9. Doi: http://dx.doi.org/10.1016/j.nut.2016.10.002
Landi F, Liperoti R, Russo A, Giovannini S, Tosato M, Capoluongo E, et al. Sarcopenia as a risk factor for falls in elderly individuals: results from the ilSIRENTE study. Clin Nutr. 2012;31(5):652–8. Doi: http://dx.doi.org/10.1016/j.clnu.2012.02.007
Landi F, Liperoti R, Fusco D, Mastropaolo S, Quattrociocchi D, Proia A, et al. Sarcopenia and mortality among older nursing home residents. J Am Med Dir Assoc. 2012;13(2):121–6. Doi: http://dx.doi.org/10.1016/j.jamda.2011.07.004
Peng TC, Chen WL, Wu LW, Chang YW, Kao TW. Sarcopenia and cognitive impairment: A systematic review and meta-analysis. Clin Nutr. 2020;39(9):2695-2701. Doi: https://doi.org/10.1016/j.clnu.2019.12.014
Chang K, Hsu TH, Wu WT, Huang KC, Han DS. Association between sarcopenia and cognitive impairment: a systematic review and meta-analysis. J Am Med Dir Assoc. 2016;17(12):1164.e7-1164.e15. Doi: http://dx.doi.org/10.1016/j.jamda.2016.09.013
Aprahamian I, Cipolli GC, Yassuda MS. Sarcopenia and cognitive impairment: Possible physiopathological causation or just a spurious association?. Clin Nutr. 2020;39(5):1622. Doi: http://dx.doi.org/10.1016/j.clnu.2020.03.027
Lee K, Shin Y, Huh J, Sung YS, Lee I. Recent issues on body composition imaging for sarcopenia evaluation. Korean J Radiol. 2019;20(2):205–17. Doi: http://dx.doi.org/10.3348/kjr.2018.0479
Sergi G, Trevisan C, Veronese N, Lucato P, Manzato E. Imaging of sarcopenia. Eur J Radiol. 2016;85(8). Doi: http://dx.doi.org/10.1016/j.ejrad.2016.04.009
Rech CR, Dellagrana RA, Petroski MFN, Luiz ME. Validade de equações antropométricas para estimar a massa muscular em idosos. Rev Bras Cineantropom Desempenho Hum. 2012;14(1):23–31. Doi: http://dx.doi.org/10.5007/1980-0037.2012v14n1p23
Kawakami R, Murakami H, Sanada K, Tanaka N, Sawada SS, Tabata I, et al. Calf circumference as a surrogate marker of muscle mass for diagnosing sarcopenia in Japanese men and women. Geriatr Gerontol Int. 2014;15(8):969-76. Doi: http://dx.doi.org/10.1111/ggi.12377
Peixoto LG, Barbosa CD, Nahas PC, Rossato LT, Oliveira EP. A circunferência da panturrilha está associada com a massa muscular de indivíduos hospitalizados. Rev Bras Nutr Clin. 2016;31(2):167–71.
Fukuoka Y, Narita T, Fujita H, Morii T, Sato T, Sassa MH, et al. Importance of physical evaluation using skeletal muscle mass index and body fat percentage to prevent sarcopenia in elderly Japanese diabetic patients. J Diabetes Investig. 2019;10(2):322–30. Doi: http://dx.doi.org/10.1111/jdi.12908
Guglielmi G, Ponti F, Agostini M, Amadori M, Battista G, Bazzocchi A. The role of DXA in sarcopenia. Aging Clin Exp Res. 2016;28(6):1047–60. Doi: http://dx.doi.org/10.1007/s40520-016-0589-3
Instituto Brasileiro de Geografia e Estatística. Censo demográfico 2010. Características da população e dos domicílios: resultados do universo [texto na Internet]. Rio de Janeiro: IBGE; c2011 [citado 2020 Jan 20]. Disponível em: https://biblioteca.ibge.gov.br/visualizacao/periodicos/93/cd_2010_caracteristicas_populacao_domicilios.pdf
Janssen I, Baumgartner RN, Ross R, Rosenberg IH, Roubenoff R. Skeletal muscle cutpoints associated with elevated physical disability risk in older men and women. Am J Epidemiol. 2004;15;159(4):413-21. Doi: http://dx.doi.org/10.1093/aje/kwh058
Brasil. Ministério da Saúde. Caderneta de saúde da pessoa idosa. 5 ed. Brasília (DF): Ministério da Saúde; 2018.
Brucki SM, Dozzi MSM, Fleury OIH, Bertolucci PHF. Dados normativos para o teste de fluência verbal categoria animais em nosso meio. Arq Neuro-Psiquiatr. 1997; 55(1):56-61. Doi: https://doi.org/10.1590/S0004-282X1997000100009
Patel HP, Syddall HE, Jameson K, Robinson S, Denison H, Roberts HC, et al. Prevalence of sarcopenia in community dwelling older people in the UK using the European Working Group on Sarcopenia in Older People (EWGSOP) definition: findings from the Hertfordshire Cohort Study (HCS). Age Ageing. 2013;42(3):378-84. Doi: http://dx.doi.org/10.1093/ageing/afs197
Viana LS, Macedo OG, Vilaça KHC, Garcia PA. Concordância de diferentes critérios de sarcopenia em idosas comunitárias. Fisioter Pesqui. 2018;25(2):151-7. Doi: http://dx.doi.org/10.1590/1809-2950/17467625022018
Santos VR, Christofaro DGD, Gomes IC, Agostinete RR, Freitas Júnior IF, Gobbo LA. Factors associated with sarcopenia in subjects aged 80 years and over. Rev Nutr. 2015;28(3):319-26. Doi: https://doi.org/10.1590/1415-52732015000300008
Carmeli E. Frailty and primary sarcopenia: a review. Adv Exp Med Biol. 2017;1020:53-68. Doi: https://doi.org/10.1007/5584_2017_18
Pagotto V, Santos KF, Malaquias SG, Bachion MM, Silveira EA. Circunferência da panturrilha: validação clínica para avaliação de massa muscular em idosos. Rev Bras Enferm. 2018;71(2):322-8. Doi: https://doi.org/10.1590/0034-7167-2017-0121
Delmonico MJ, Harris TB, Visser M, Park SW, Conroy MB, Velasquez-mieyer P, et al. Longitudinal study of muscle strength, quality, and adipose tissue infiltration. Am J Clin Nutr. 2009;90(5):1579–85. Doi: https://doi.org/10.3945/ajcn.2009.28047
Barbosa-Silva MC. Subjective and objective nutritional assessment methods: What do they really assess? Curr Opin Clin Nutr Metab Care. 2008;11(3):248-54. Doi: https://doi.org/10.1097/mco.0b013e3282fba5d7
Schopf PP, Allendorf DB, Schwanke CHA, Gottlieb MGV. Idade, sexo, raça/etnia são fatores intrínsecos associados à perda de massa muscular: uma revisão sistemática. Rev Bras Cien Mov. 2017;25(2):195-204. Doi: http://dx.doi.org/10.18511/rbcm.v25i2.6333
Silva AM, Shen W, Heo M, Gallagher D, Wang Z, Sardinha B, et al. Ethnicity-related skeletal muscle difference across the lifespan. Am J Hum Biol. 2010;22(1):76-82. Doi: https://doi.org/10.1002/ajhb.20956
Aleman-Mateo H, Lee SY, Javed F, Thornton J, Heymsfield SB, Pierson RN, et al. Elderly mexicans have less muscle and greater total and truncal fat compared to african-americans and caucasians with the same BMI. J Nutr Heal Aging. 2009;13(10):919-23. Doi: https://doi.org/10.1007/s12603-009-0252-1
Woo J, Arai H, Ng TP, Sayer AA, Wong M, Syddall H, et al. Ethnic and geographic variations in muscle mass, muscle strength and physical performance measures. Eur Geriatr Med. 2014;5(3):155-64. Doi: https://doi.org/10.1016/j.eurger.2014.04.003
Lezak MD, Howieson DB, Loring DW, Hannay HJ, Fischer JS. Neuropsychological assessment. 4th ed. New York: Oxford University Press; 2004.
Crossley M, D'Arcy C, Rawson NS. Letter and category fluency in community-dwelling Canadian seniors: A comparison of normal participants to those with dementia of the Alzheimer or vascular type. J Clin Exp Neuropsychol. 1997;19(1):52-62. Doi: https://doi.org/10.1080/01688639708403836
Kempler D, Teng EL, Dick M, Taussig IM, Davis DS. The effects of age, education, and ethnicity on verbal fluency. J Int Neuropsychol Soc. 1998;4(6):531-8. Doi: https://doi.org/10.1017/s1355617798466013
Silva TBL, Yassuda MS, Guimarães VV, Florindo AA. Fluência verbal e variáveis sociodemográficas no processo de envelhecimento: um estudo epidemiológico. Psicol Reflex Crit. 2011;24(4):739-46. Doi: https://doi.org/10.1590/S0102-79722011000400014
Cipolli GC. Sarcopenia e comprometimento cognitivo em idosos longevos: resultados do estudo FIBRA [Dissertação]. São Paulo: Universidade de São Paulo, Escola de Artes, Ciências e Humanidades; 2019. Doi: https://doi.org/10.11606/D.100.2019.tde-05082019-220140
Nishiguchi S, Yamada M, Shirooka H, Nozaki Y, Fukutani N, Tashiro Y, et al. Sarcopenia as a risk factor for cognitive deterioration in community-dwelling older adults: a 1-year prospective study. J Am Med Dir Assoc. 2016;16(2):120-4. Doi: https://doi.org/10.1016/j.jamda.2015.12.096
Gao L, Jiaojiao J, Yang M, Hao Q, Luo L, Dong B. Prevalence of sarcopenia and associated factors in chinese community-dwelling elderly: comparison between rural and urban areas. J Am Med Dir Assoc. 2015;16(11):1003.e1-1003.e6. Doi: https://doi.org/10.1016/j.jamda.2015.07.020
Alexandre TS, 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(3):284-90. Doi: https://doi.org/10.1007/s12603-013-0413-0
Ogawa Y, Kaneko Y, Sato T, Shimizu S, Kanetaka H, Hanyu H. Sarcopenia and muscle functions at various stages of Alzheimer disease. Front Neurol. 2018;9:710. Doi: https://doi.org/10.3389/fneur.2018.00710
Huang C, Hwang A, Liu L, Chen L, Peng L, Chen L, et al. Association of dynapenia, sarcopenia and cognitive impairment among community-dwelling older Taiwanese. Rejuvenation Res. 2015;19(1):71–8. Doi: https://doi.org/10.1089/rej.2015.1710
Kim M, Won CW. Sarcopenia is associated with cognitive impairment mainly due to slow gait speed: results from the Korean Frailty and Aging Cohort Study (KFACS). Int J Env Res Public Heal. 2019;16(9):1491. Doi: https://doi.org/10.3390/ijerph16091491
Szlejf C, Suemoto CK, Lotufo PA, Benseñor IM. Association of sarcopenia with performance on multiple cognitive domains: results from the ELSA-Brasil Study. J Gerontol A Biol Sci Med Sci. 2019 4;74(11):1805-1811. Doi: https://doi.org/10.1093/gerona/glz118
Marty E, Liu Y, Samuel A, Or O, Lane J. A review of sarcopenia: Enhancing awareness of an increasingly prevalent disease. Bone. 2017;105:276–86. Doi: https://doi.org/10.1016/j.bone.2017.09.008
Choi KM. Sarcopenia and sarcopenic obesity. Korean J Intern Med. 2016;31:1054–60. Doi: https://doi.org/10.3904/kjim.2016.193
Denison HJ, Cooper C, Sayer AA, Robinson SM. Prevention and optimal management of sarcopenia: a review of combined exercise and nutrition interventions to improve muscle outcomes in older people. Clin Interv Aging. 2015;10:859-69. Doi: https://doi.org/10.2147/CIA.S55842. eCollection 2015
Hötting K, Röder B. Beneficial effects of physical exercise on neuroplasticity and cognition. Neurosci Biobehav Rev. 2013;37(9 Pt B):2243-57. Doi: https://doi.org/10.1016/j.neubiorev.2013.04.005
Fernandes DS, Gonçalves LHT, Ferreira AMR, Santos MIP de O. Avaliação da capacidade funcional de idosos longevos amazônidas. Rev Bras Enferm. 2019;72(Suppl 2):55-61. Doi: https://doi.org/10.1590/0034-7167-2017-0798
Giallauria F, Cittadini A, Smart NA, Vigorito C. Resistance training and sarcopenia. Monaldi Arch Chest Dis. 2016;84(1-2):738. Doi: https://doi.org/10.4081/monaldi.2015.738
Dhillon RJ, Hasni S. Pathogenesis and Management of Sarcopenia. Clin Geriatr Med. 2017;33(1):17–26. Doi: https://doi.org/10.1016/j.cger.2016.08.002
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Grant numbers 001