Body composition indices in Brazilian adults: age-specific and sex-specific percentile curves
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Arquivos de Endocrinologia e Metabolismo (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972019000700358 |
Resumo: | 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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Body composition indices in Brazilian adults: age-specific and sex-specific percentile curvesBody compositionDXA scansarcopeniaskeletal mass indexABSTRACT 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.Sociedade Brasileira de Endocrinologia e Metabologia2019-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972019000700358Archives of Endocrinology and Metabolism v.63 n.4 2019reponame:Arquivos de Endocrinologia e Metabolismo (Online)instname:Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)instacron:SBEM10.20945/2359-3997000000124info:eu-repo/semantics/openAccessCarvalho,Cristiane Junqueira deLongo,Giana ZarbatoJuvanhol,Leidjaira LopesKakehasi,Adriana MariaPereira,Patrícia FelicianoSegheto,Kátia JosianyFreitas,Brunnella Alcântara Chagas deRibeiro,Andréia Queirozeng2019-08-19T00:00:00Zoai:scielo:S2359-39972019000700358Revistahttps://www.aem-sbem.com/https://old.scielo.br/oai/scielo-oai.php||aem.editorial.office@endocrino.org.br2359-42922359-3997opendoar:2019-08-19T00:00Arquivos de Endocrinologia e Metabolismo (Online) - Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)false |
dc.title.none.fl_str_mv |
Body composition indices in Brazilian adults: age-specific and sex-specific percentile curves |
title |
Body composition indices in Brazilian adults: age-specific and sex-specific percentile curves |
spellingShingle |
Body composition indices in Brazilian adults: age-specific and sex-specific percentile curves Carvalho,Cristiane Junqueira de Body composition DXA scan sarcopenia skeletal mass index |
title_short |
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_sort |
Body composition indices in Brazilian adults: age-specific and sex-specific percentile curves |
author |
Carvalho,Cristiane Junqueira de |
author_facet |
Carvalho,Cristiane Junqueira de Longo,Giana Zarbato Juvanhol,Leidjaira Lopes Kakehasi,Adriana Maria Pereira,Patrícia Feliciano Segheto,Kátia Josiany Freitas,Brunnella Alcântara Chagas de Ribeiro,Andréia Queiroz |
author_role |
author |
author2 |
Longo,Giana Zarbato Juvanhol,Leidjaira Lopes Kakehasi,Adriana Maria Pereira,Patrícia Feliciano Segheto,Kátia Josiany Freitas,Brunnella Alcântara Chagas de Ribeiro,Andréia Queiroz |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Carvalho,Cristiane Junqueira de Longo,Giana Zarbato Juvanhol,Leidjaira Lopes Kakehasi,Adriana Maria Pereira,Patrícia Feliciano Segheto,Kátia Josiany Freitas,Brunnella Alcântara Chagas de Ribeiro,Andréia Queiroz |
dc.subject.por.fl_str_mv |
Body composition DXA scan sarcopenia skeletal mass index |
topic |
Body composition DXA scan sarcopenia skeletal mass index |
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. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-08-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972019000700358 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972019000700358 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.20945/2359-3997000000124 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Endocrinologia e Metabologia |
publisher.none.fl_str_mv |
Sociedade Brasileira de Endocrinologia e Metabologia |
dc.source.none.fl_str_mv |
Archives of Endocrinology and Metabolism v.63 n.4 2019 reponame:Arquivos de Endocrinologia e Metabolismo (Online) instname:Sociedade Brasileira de Endocrinologia e Metabologia (SBEM) instacron:SBEM |
instname_str |
Sociedade Brasileira de Endocrinologia e Metabologia (SBEM) |
instacron_str |
SBEM |
institution |
SBEM |
reponame_str |
Arquivos de Endocrinologia e Metabolismo (Online) |
collection |
Arquivos de Endocrinologia e Metabolismo (Online) |
repository.name.fl_str_mv |
Arquivos de Endocrinologia e Metabolismo (Online) - Sociedade Brasileira de Endocrinologia e Metabologia (SBEM) |
repository.mail.fl_str_mv |
||aem.editorial.office@endocrino.org.br |
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1752122516364591104 |