Risk Factors for Low Muscle Mass in a Population-based Prospective Cohort of Brazilian Community-dwelling Older Women: The Sao Paulo Ageing & Health (SPAH) Study

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art_MACHADO_Risk_Factors_for_Low_Muscle_Mass_in_a_2020.PDF.pdf (292.84 KB)
Citações na Scopus
3
Tipo de produção
article
Data de publicação
2020
DOI
Scopus
Web of Science
PubMed
Título da Revista
ISSN da Revista
Título do Volume
Editora
ELSEVIER SCIENCE INC
Autores
LOPES, Jaqueline B.
Citação
JOURNAL OF CLINICAL DENSITOMETRY, v.23, n.3, p.503-510, 2020
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
Introduction: Sarcopenia is characterized by progressive loss of skeletal muscle mass, which results in decreased muscle strength, functional impairment, and increased risk of death. Few studies have performed a concomitant evaluation of clinical, laboratory, and body composition variables to accurately determine the contribution of each parameter to low muscle mass (LMM) in older subjects. This study aimed to identify risk factors (clinical, laboratory parameters, BMD, and body composition by DXA including visceral fat) for LMM in a prospective cohort of older Brazilian women. Methods: A total of 408 women aged >= 65 yr from the Sao Paulo Ageing & Health study were evaluated with clinical data, laboratory bone tests, BMD, and body composition by DXA using Hologic QDR 4500A equipment. Risk factors were measured at baseline (2005-2007). After a follow-up of 4.3 +/- 0.8 yr, subjects were classified according to the LMM definition of the Foundation for the National Institutes of Health criteria. LMM was defined when appendicular lean mass divided by body mass index was less than 0.512. Multivariate logistic regression models were used to identify independent risk factors for LMM. Results: At the end of follow-up, 116 women (28.4%) had LMM. Age averages were 73.3 +/- 4.9 yr in the LMM group and 72.5 +/- 4.5 yr in the normal group (p = 0.11). Mean BMI was 30.6 +/- 5.2 kg/m(2) in the LMM group and 28.1 +/- 4.7 kg/m(2) in the normal group (p < 0.001). In multivariate analyses, predictors of LMM were: falls (OR = 1.14, p = 0.016), TSH levels (OR = 1.08, p = 0.018, per 1 mu UI/L-increase), serum creatinine levels (OR =11.11, p < 0.001, per 1 mg/dL-decrease), and visceral adipose tissue (VAT) mass (OR = 1.17, p < 0.001, per 100 g increase). Conclusions: Falls, high TSH, low creatinine, and high VAT were risk factors for LMM in older women. More attention should be paid to these factors, since they are potentially reversible with adequate intervention.
Palavras-chave
Low muscle mass, women, visceral adipose tissue, elderly, bone mineral density, risk factors
URI
https://observatorio.fm.usp.br/handle/OPI/38431
Referências
  1. Bensenor IM, 2012, CLIN INTERV AGING, V7, P97, DOI 10.2147/CIA.S23966
  2. Bischoff-Ferrari HA, 2015, OSTEOPOROSIS INT, V26, P2793, DOI 10.1007/s00198-015-3194-y
  3. Bischoff-Ferrari HA, 2012, REV ENDOCR METAB DIS, V13, P71, DOI 10.1007/s11154-011-9200-6
  4. Castillo EM, 2003, AM J PREV MED, V25, P226, DOI 10.1016/S0749-3797(03)00197-1
  5. Ceglia L, 2013, J CLIN ENDOCR METAB, V98, pE1927, DOI 10.1210/jc.2013-2820
  6. Cruz-Jentoft AJ, 2010, AGE AGEING, V39, P412, DOI 10.1093/ageing/afq034
  7. Delmonico MJ, 2007, J AM GERIATR SOC, V55, P769, DOI 10.1111/j.1532-5415.2007.01140.x
  8. Dodds RM, 2017, J CACHEXIA SARCOPENI, V8, P229, DOI 10.1002/jcsm.12157
  9. Domiciano DS, 2014, OSTEOPOROSIS INT, V25, P2805, DOI 10.1007/s00198-014-2821-3
  10. Domiciano DS, 2013, OSTEOPOROSIS INT, V24, P595, DOI 10.1007/s00198-012-2002-1
  11. Domiciano DS, 2016, J BONE MINER RES, V31, P1146, DOI 10.1002/jbmr.2795
  12. Dufour AB, 2013, J GERONTOL A-BIOL, V68, P168, DOI 10.1093/gerona/gls109
  13. Goldberg EK, 2019, J CLIN DENSITOM
  14. Goodpaster BH, 2006, J GERONTOL A-BIOL, V61, P1059, DOI 10.1093/gerona/61.10.1059
  15. Hars M, 2016, J BONE MINER RES, V31, P2048, DOI 10.1002/jbmr.2878
  16. Heymsfield M, 2005, HUMAN BODY COMPOSITI
  17. IBGE-Instituto Brasileiro de Geografia e Estatistica, EST PESQ INF DEM SOC
  18. Jefferis BJ, 2014, BMC GERIATR, V14, DOI 10.1186/1471-2318-14-114
  19. Jurk D, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5172
  20. KESHAVIAH PR, 1994, J AM SOC NEPHROL, V4, P1475
  21. Landi F, 2012, J GERONTOL A-BIOL, V67, P48, DOI 10.1093/gerona/glr035
  22. Lesser IA, 2016, APPL PHYSIOL NUTR ME, V41, P931, DOI 10.1139/apnm-2016-0082
  23. LIPSCHITZ DA, 1994, PRIMARY CARE, V21, P55
  24. Lopes JB, 2011, OSTEOPOROSIS INT, V22, P711, DOI 10.1007/s00198-010-1258-6
  25. Machado KLLL, 2015, OSTEOPOROSIS INT, V26, P1535, DOI 10.1007/s00198-014-3024-7
  26. McLean RR, 2015, J BONE MINER RES, V30, P588, DOI 10.1002/jbmr.2492
  27. McLean RR, 2014, J GERONTOL A-BIOL, V69, P576, DOI 10.1093/gerona/glu012
  28. Morley JE, 2014, J CACHEXIA SARCOPENI, V5, P253, DOI 10.1007/s13539-014-0161-y
  29. Morley JE, 2010, J AM MED DIR ASSOC, V11, P391, DOI 10.1016/j.jamda.2010.04.014
  30. Poggiogalle E, 2016, J NUTR HEALTH AGING, V20, P958, DOI 10.1007/s12603-015-0638-1
  31. Rolland Y, 2008, J NUTR HEALTH AGING, V12, P433, DOI 10.1007/BF02982704
  32. Sakuma K, 2015, PFLUG ARCH EUR J PHY, V467, P213, DOI 10.1007/s00424-014-1527-x
  33. Schaap LA, 2009, J GERONTOL A-BIOL, V64, P1183, DOI 10.1093/gerona/glp097
  34. Schousboe JT, 2013, J CLIN DENSITOM, V16, P455, DOI 10.1016/j.jocd.2013.08.004
  35. Song MY, 2004, AM J CLIN NUTR, V79, P874
  36. Tieland M, 2012, EUR J NUTR, V51, P173, DOI 10.1007/s00394-011-0203-6
  37. Tosato M, 2017, AGING CLIN EXP RES, V29, P19, DOI 10.1007/s40520-016-0717-0
  38. Yamada M, 2014, GERIATR GERONTOL INT, V14, P8, DOI 10.1111/ggi.12209

Coleções
Artigos e Materiais de Revistas Científicas - FM/MPR
Artigos e Materiais de Revistas Científicas - FM/MCM
Artigos e Materiais de Revistas Científicas - HC/ICHC
Artigos e Materiais de Revistas Científicas - LIM/17
Artigos e Materiais de Revistas Científicas - LIM/39