Literature DB >> 29057380

Sarcopenia prevalence using simple measurements and population-based cutoff values.

M U Pérez-Zepeda1, N Sánchez-Garrido1, M González-Lara2, L M Gutiérrez-Robledo1.   

Abstract

OBJECTIVE: To estimate the prevalence of sarcopenia in Mexican older adults using simple measurements and tailored cutoff values for the components of the European Working Group on Sarcopenia in Older People algorithm.
MATERIAL AND METHODS: This study used cross-sectional data from the third wave (2012) of the Mexican Health and Aging Study. Gait speed and handgrip strength cutoff values were tailored for Mexican older adults. Muscle mass was estimated by a formula, which uses simple anthropometry and demographic characteristics.
RESULTS: From the total of 1,238 older adults included in our study, sarcopenia prevalence was 11% (n = 137). When categorizing sarcopenia, 39.1% (n = 484) had pre-sarcopenia, 8.3% (n = 103) moderate sarcopenia, and 2.75% (n = 34) had severe sarcopenia.
CONCLUSIONS: Sarcopenia is a common problem in Mexican older adults, and its frequency along with its severity increases with age. Tailored cutoff values could help in identifying those subjects that could have benefited from intervention.

Entities:  

Keywords:  Disability; Epidemiology of aging; Muscle aging; Sarcopenia

Year:  2016        PMID: 29057380      PMCID: PMC5647144     

Source DB:  PubMed          Journal:  J Lat Am Geriatr Med        ISSN: 2462-2958


  23 in total

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Journal:  Clin Nutr       Date:  2015-06-04       Impact factor: 7.324

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4.  [Health and nutrition status of older adults in Mexico: results of a national probabilistic survey].

Authors:  Teresa Shamah-Levy; Lucía Cuevas-Nasu; Verónica Mundo-Rosas; Carmen Morales-Ruán; Leticia Cervantes-Turrubiates; Salvador Villalpando-Hernández
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5.  Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People.

Authors:  Alfonso J Cruz-Jentoft; Jean Pierre Baeyens; Jürgen M Bauer; Yves Boirie; Tommy Cederholm; Francesco Landi; Finbarr C Martin; Jean-Pierre Michel; Yves Rolland; Stéphane M Schneider; Eva Topinková; Maurits Vandewoude; Mauro Zamboni
Journal:  Age Ageing       Date:  2010-04-13       Impact factor: 10.668

6.  RISK FACTORS FOR SLOW GAIT SPEED: A NESTED CASE-CONTROL SECONDARY ANALYSIS OF THE MEXICAN HEALTH AND AGING STUDY.

Authors:  M U Pérez-Zepeda; J G González-Chavero; R Salinas-Martinez; L M Gutiérrez-Robledo
Journal:  J Frailty Aging       Date:  2015

7.  Gait Speed and Handgrip Strength as Predictors of Incident Disability in Mexican Older Adults.

Authors:  T López-Teros; L M Gutiérrez-Robledo; M U Pérez-Zepeda
Journal:  J Frailty Aging       Date:  2014

8.  Prevalence of sarcopenia among community-dwelling elderly of a medium-sized South American city: results of the COMO VAI? study.

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Journal:  J Cachexia Sarcopenia Muscle       Date:  2012-08-03       Impact factor: 12.910

10.  Derivation and validation of simple equations to predict total muscle mass from simple anthropometric and demographic data.

Authors:  Yasmin Y Al-Gindan; Catherine Hankey; Lindsay Govan; Dympna Gallagher; Steven B Heymsfield; Michael E J Lean
Journal:  Am J Clin Nutr       Date:  2014-08-13       Impact factor: 7.045

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  3 in total

1.  Motoric Cognitive Risk Syndrome: Prevalence and Risk of Cognitive Impairment in a Population Studied in the Mexican Health and Aging Study 2012-2015.

Authors:  S G Aguilar-Navarro; A J Mimenza-Alvarado; J E Aguilar-Esquivel; S G Yeverino-Castro; T Juárez-Cedillo; S Mejía-Arango
Journal:  J Nutr Health Aging       Date:  2019       Impact factor: 4.075

2.  Sarcopenia: Influence of Regional Skeletal Muscle Cutoff Points and Fat-Free Mass in Older Mexican People-A Pilot Study.

Authors:  Heliodoro Alemán-Mateo; Miriam T López-Teros; Roxana E Ruiz-Valenzuela; Maribel Ramírez-Torres; René Urquidez-Romero
Journal:  Curr Gerontol Geriatr Res       Date:  2020-05-31

3.  Sarcopenia Detection System Using RGB-D Camera and Ultrasound Probe: System Development and Preclinical In-Vitro Test.

Authors:  Yeoun-Jae Kim; Seongjun Kim; Jaesoon Choi
Journal:  Sensors (Basel)       Date:  2020-08-09       Impact factor: 3.576

  3 in total

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