Body composition indices in Brazilian adults: age-specific and sex-specific percentile curves

ABSTRACT Objective To establish percentile curves for measures and indices of body composition by age and sex and compare them with data from other ethnic groups. Subjects and methods Cross-sectional, population-based study with adults aged 20-59 years (n = 689). Percentile curves adjusted by a...

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Main Authors: Cristiane Junqueira de Carvalho, Giana Zarbato Longo, Leidjaira Lopes Juvanhol, Adriana Maria Kakehasi, Patrícia Feliciano Pereira, Kátia Josiany Segheto, Brunnella Alcântara Chagas de Freitas, Andréia Queiroz Ribeiro
Format: Article
Language:English
Published: Brazilian Society of Endocrinology and Metabolism 2019-04-01
Series:Archives of Endocrinology and Metabolism
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972019005002104&lng=en&tlng=en
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author Cristiane Junqueira de Carvalho
Giana Zarbato Longo
Leidjaira Lopes Juvanhol
Adriana Maria Kakehasi
Patrícia Feliciano Pereira
Kátia Josiany Segheto
Brunnella Alcântara Chagas de Freitas
Andréia Queiroz Ribeiro
author_facet Cristiane Junqueira de Carvalho
Giana Zarbato Longo
Leidjaira Lopes Juvanhol
Adriana Maria Kakehasi
Patrícia Feliciano Pereira
Kátia Josiany Segheto
Brunnella Alcântara Chagas de Freitas
Andréia Queiroz Ribeiro
author_sort Cristiane Junqueira de Carvalho
collection DOAJ
description ABSTRACT Objective To establish percentile curves for measures and indices of body composition by age and sex and compare them with data from other ethnic groups. Subjects and methods Cross-sectional, population-based study with adults aged 20-59 years (n = 689). Percentile curves adjusted by a third degree polynomial function were constructed for skeletal mass index (SMI), fat mass index, body fat, and load-capacity metabolic indices (LCMI) based on dual-energy X-ray absorptiometry (DXA). Results SMIweight and SMIBMI showed decline from the third decade of life in both sexes, whereas SMIheight was not able to identify lean mass loss over the ages studied. There was a slight drop at the end of the fifth decade (50-59 years) in men. Among Americans and Chinese, the 50th percentile curve of SMIheight showed an earlier decline. The estimates of adiposity and LCMI curves peaked between 40-49 years and Americans and Chinese maintained an upward curve throughout adulthood. Conclusion The data and curves showed that the SMI adjusted for BMI and body weight were more adequate in detecting the decline of lean mass in adults due to aging. In contrast, SMIheight had a positive correlation with age and its curve increased throughout the evaluated age groups. The results contribute to the evaluation to the nutritional status of adults and to the prevention and treatment of outcomes related to adiposity and deficit lean mass.
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spelling doaj.art-ea3a119768874edaa17bffa031d09aab2022-12-21T23:06:17ZengBrazilian Society of Endocrinology and MetabolismArchives of Endocrinology and Metabolism2359-42922019-04-01010.20945/2359-3997000000124S2359-39972019005002104Body composition indices in Brazilian adults: age-specific and sex-specific percentile curvesCristiane Junqueira de CarvalhoGiana Zarbato LongoLeidjaira Lopes JuvanholAdriana Maria KakehasiPatrícia Feliciano PereiraKátia Josiany SeghetoBrunnella Alcântara Chagas de FreitasAndréia Queiroz RibeiroABSTRACT Objective To establish percentile curves for measures and indices of body composition by age and sex and compare them with data from other ethnic groups. Subjects and methods Cross-sectional, population-based study with adults aged 20-59 years (n = 689). Percentile curves adjusted by a third degree polynomial function were constructed for skeletal mass index (SMI), fat mass index, body fat, and load-capacity metabolic indices (LCMI) based on dual-energy X-ray absorptiometry (DXA). Results SMIweight and SMIBMI showed decline from the third decade of life in both sexes, whereas SMIheight was not able to identify lean mass loss over the ages studied. There was a slight drop at the end of the fifth decade (50-59 years) in men. Among Americans and Chinese, the 50th percentile curve of SMIheight showed an earlier decline. The estimates of adiposity and LCMI curves peaked between 40-49 years and Americans and Chinese maintained an upward curve throughout adulthood. Conclusion The data and curves showed that the SMI adjusted for BMI and body weight were more adequate in detecting the decline of lean mass in adults due to aging. In contrast, SMIheight had a positive correlation with age and its curve increased throughout the evaluated age groups. The results contribute to the evaluation to the nutritional status of adults and to the prevention and treatment of outcomes related to adiposity and deficit lean mass.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972019005002104&lng=en&tlng=enBody compositionDXA scansarcopeniaskeletal mass index
spellingShingle Cristiane Junqueira de Carvalho
Giana Zarbato Longo
Leidjaira Lopes Juvanhol
Adriana Maria Kakehasi
Patrícia Feliciano Pereira
Kátia Josiany Segheto
Brunnella Alcântara Chagas de Freitas
Andréia Queiroz Ribeiro
Body composition indices in Brazilian adults: age-specific and sex-specific percentile curves
Archives of Endocrinology and Metabolism
Body composition
DXA scan
sarcopenia
skeletal mass index
title Body composition indices in Brazilian adults: age-specific and sex-specific percentile curves
title_full Body composition indices in Brazilian adults: age-specific and sex-specific percentile curves
title_fullStr Body composition indices in Brazilian adults: age-specific and sex-specific percentile curves
title_full_unstemmed Body composition indices in Brazilian adults: age-specific and sex-specific percentile curves
title_short Body composition indices in Brazilian adults: age-specific and sex-specific percentile curves
title_sort body composition indices in brazilian adults age specific and sex specific percentile curves
topic Body composition
DXA scan
sarcopenia
skeletal mass index
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972019005002104&lng=en&tlng=en
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