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

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 degre...

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Autores principales: de Carvalho, Cristiane Junqueira, Longo, Giana Zarbato, Juvanhol, Leidjaira Lopes, Kakehasi, Adriana Maria, Pereira, Patrícia Feliciano, Segheto, Kátia Josiany, de Freitas, Brunnella Alcântara Chagas, Ribeiro, Andréia Queiroz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Endocrinologia e Metabologia 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528656/
https://www.ncbi.nlm.nih.gov/pubmed/31038591
http://dx.doi.org/10.20945/2359-3997000000124
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author de Carvalho, Cristiane Junqueira
Longo, Giana Zarbato
Juvanhol, Leidjaira Lopes
Kakehasi, Adriana Maria
Pereira, Patrícia Feliciano
Segheto, Kátia Josiany
de Freitas, Brunnella Alcântara Chagas
Ribeiro, Andréia Queiroz
author_facet de Carvalho, Cristiane Junqueira
Longo, Giana Zarbato
Juvanhol, Leidjaira Lopes
Kakehasi, Adriana Maria
Pereira, Patrícia Feliciano
Segheto, Kátia Josiany
de Freitas, Brunnella Alcântara Chagas
Ribeiro, Andréia Queiroz
author_sort de Carvalho, Cristiane Junqueira
collection PubMed
description 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: SMI(weight) and SMI(BMI) showed decline from the third decade of life in both sexes, whereas SMI(height) 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 SMI(height) 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, SMI(height) 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 pubmed-105286562023-09-28 Body composition indices in Brazilian adults: age-specific and sex-specific percentile curves de Carvalho, Cristiane Junqueira Longo, Giana Zarbato Juvanhol, Leidjaira Lopes Kakehasi, Adriana Maria Pereira, Patrícia Feliciano Segheto, Kátia Josiany de Freitas, Brunnella Alcântara Chagas Ribeiro, Andréia Queiroz Arch Endocrinol Metab Original Article 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: SMI(weight) and SMI(BMI) showed decline from the third decade of life in both sexes, whereas SMI(height) 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 SMI(height) 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, SMI(height) 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 Metabologia 2019-04-15 /pmc/articles/PMC10528656/ /pubmed/31038591 http://dx.doi.org/10.20945/2359-3997000000124 Text en https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
de Carvalho, Cristiane Junqueira
Longo, Giana Zarbato
Juvanhol, Leidjaira Lopes
Kakehasi, Adriana Maria
Pereira, Patrícia Feliciano
Segheto, Kátia Josiany
de Freitas, Brunnella Alcântara Chagas
Ribeiro, Andréia Queiroz
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
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 Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528656/
https://www.ncbi.nlm.nih.gov/pubmed/31038591
http://dx.doi.org/10.20945/2359-3997000000124
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