Prevalence and associated factors of sarcopenia among elderly in Brazil

Findings from the sabe study

T. Da Silva Alexandre, Y. A De Oliveira Duarte, J. L Ferreira Santos, Rebeca Wong, M. L. Lebrão

Research output: Contribution to journalArticle

53 Citations (Scopus)

Abstract

Objectives: The aim of the present study was to examine the prevalence and factors associated with sarcopenia in older residents in São Paulo, Brazil. Design: Cross-sectional study. Setting: São Paulo, Brazil. Participants: 1,149 older individuals from the second wave of the Saúde, Bem-Estar e Envelhecimento (SABE) study from 2006. Measurements: The definition of sarcopenia was based on the consensus of the European Working Group on Sarcopenia in Older People (EWGSOP), which include three components: low muscle mass, assessed by a skeletal muscle mass index of ≤8.90kg/m2 for men and ≤6.37kg/m2 for women; low muscle strength, assessed by handgrip strength <30kg for men and <20kg for women; and low physical performance, assessed by gait speed <0.8m/s. Diagnosis of sarcopenia required presence of low muscle mass plus low muscle strength or low physical performance. Socio-demographic and behavioral characteristics, medical conditions and nutritional status were considered as independent variables to determine the associated factors using a logistic regression model. Results: The prevalence of sarcopenia was 16.1% in women and 14.4% in men. Advanced age with a dose response effect, cognitive impairment, lower income, smoking, undernutrition and risk for undernutrition (p<0.05) were factors associated with sarcopenia. Conclusions: The EWGSOP algorithm is useful to define sarcopenia. The prevalence of sarcopenia in the Brazilian elderly population is high and several associated factors show that this syndrome is affected by multiple domains. No differences were observed by gender in any age groups.

Original languageEnglish (US)
Pages (from-to)284-290
Number of pages7
JournalJournal of Nutrition, Health and Aging
Volume18
Issue number3
DOIs
StatePublished - 2014

Fingerprint

Sarcopenia
Brazil
Muscle Strength
Malnutrition
Logistic Models
Coal Tar
Muscles
Nutritional Status
Consensus
Skeletal Muscle
Age Groups
Cross-Sectional Studies
Smoking
Demography

Keywords

  • Elderly
  • Prevalence
  • SABE study
  • Sarcopenia

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Nutrition and Dietetics
  • Geriatrics and Gerontology

Cite this

Prevalence and associated factors of sarcopenia among elderly in Brazil : Findings from the sabe study. / Alexandre, T. Da Silva; Duarte, Y. A De Oliveira; Santos, J. L Ferreira; Wong, Rebeca; Lebrão, M. L.

In: Journal of Nutrition, Health and Aging, Vol. 18, No. 3, 2014, p. 284-290.

Research output: Contribution to journalArticle

Alexandre, T. Da Silva ; Duarte, Y. A De Oliveira ; Santos, J. L Ferreira ; Wong, Rebeca ; Lebrão, M. L. / Prevalence and associated factors of sarcopenia among elderly in Brazil : Findings from the sabe study. In: Journal of Nutrition, Health and Aging. 2014 ; Vol. 18, No. 3. pp. 284-290.
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abstract = "Objectives: The aim of the present study was to examine the prevalence and factors associated with sarcopenia in older residents in S{\~a}o Paulo, Brazil. Design: Cross-sectional study. Setting: S{\~a}o Paulo, Brazil. Participants: 1,149 older individuals from the second wave of the Sa{\'u}de, Bem-Estar e Envelhecimento (SABE) study from 2006. Measurements: The definition of sarcopenia was based on the consensus of the European Working Group on Sarcopenia in Older People (EWGSOP), which include three components: low muscle mass, assessed by a skeletal muscle mass index of ≤8.90kg/m2 for men and ≤6.37kg/m2 for women; low muscle strength, assessed by handgrip strength <30kg for men and <20kg for women; and low physical performance, assessed by gait speed <0.8m/s. Diagnosis of sarcopenia required presence of low muscle mass plus low muscle strength or low physical performance. Socio-demographic and behavioral characteristics, medical conditions and nutritional status were considered as independent variables to determine the associated factors using a logistic regression model. Results: The prevalence of sarcopenia was 16.1{\%} in women and 14.4{\%} in men. Advanced age with a dose response effect, cognitive impairment, lower income, smoking, undernutrition and risk for undernutrition (p<0.05) were factors associated with sarcopenia. Conclusions: The EWGSOP algorithm is useful to define sarcopenia. The prevalence of sarcopenia in the Brazilian elderly population is high and several associated factors show that this syndrome is affected by multiple domains. No differences were observed by gender in any age groups.",
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