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

Detalhes bibliográficos
Autor(a) principal: Carvalho,Cristiane Junqueira de
Data de Publicação: 2019
Outros Autores: Longo,Giana Zarbato, Juvanhol,Leidjaira Lopes, Kakehasi,Adriana Maria, Pereira,Patrícia Feliciano, Segheto,Kátia Josiany, Freitas,Brunnella Alcântara Chagas de, Ribeiro,Andréia Queiroz
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.
id SBEM-1_cb7452a401411e3ea9a7c2678cbc339d
oai_identifier_str oai:scielo:S2359-39972019000700358
network_acronym_str SBEM-1
network_name_str Arquivos de Endocrinologia e Metabolismo (Online)
repository_id_str
spelling 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
_version_ 1752122516364591104