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The Association of Percent Body Fat and Lean Mass With HbA(1c) in US Adults
CONTEXT: Body fat and body composition distribution patterns affect diabetes risk and glycemic control, but most studies use proxy measures (e.g., body mass index). OBJECTIVE: This study examined the association of percent body fat and lean mass with glycated hemoglobin (HbA(1c)) in US adults. DESIG...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Endocrine Society
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5686694/ https://www.ncbi.nlm.nih.gov/pubmed/29264513 http://dx.doi.org/10.1210/js.2017-00046 |
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author | Bower, Julie K. Meadows, Rachel J. Foster, Meredith C. Foraker, Randi E. Shoben, Abigail B. |
author_facet | Bower, Julie K. Meadows, Rachel J. Foster, Meredith C. Foraker, Randi E. Shoben, Abigail B. |
author_sort | Bower, Julie K. |
collection | PubMed |
description | CONTEXT: Body fat and body composition distribution patterns affect diabetes risk and glycemic control, but most studies use proxy measures (e.g., body mass index). OBJECTIVE: This study examined the association of percent body fat and lean mass with glycated hemoglobin (HbA(1c)) in US adults. DESIGN: The National Health and Nutrition Examination Survey (NHANES) is a program of cross-sectional studies that enroll nationally representative samples of the US civilian noninstitutionalized population. SETTING: NHANES is designed to assess the health status of adults and children throughout the United States. PARTICIPANTS: This study included 11,125 participants aged 18 to 69 years from the 1999 through 2006 NHANES, comprising 846 persons with diagnosed diabetes and 10,125 without diabetes. MAIN OUTCOME MEASURES: Total and abdominal (trunk) percent body fat and lean mass were measured using dual-energy x-ray absorptiometry. Linear and logistic regression analyses were used to examine their association with HbA(1c). RESULTS: Among those without diagnosed diabetes, total and trunk percent body fat, as well as trunk and total lean mass, were strongly associated with elevated HbA(1c); odds ratios per 5% increment for the association of percent body fat with HbA(1c) >5.7% (39 mmol/mol) ranged from 1.60 to 2.01 across age and sex categories. Among adults with diabetes, higher total percent fat was associated with higher HbA(1c) in males age <40 years and higher trunk fat was associated with higher HbA(1c) in females across age categories. CONCLUSIONS: Lifestyle interventions to lower HbA(1c) should consider targeting both weight loss and body composition. |
format | Online Article Text |
id | pubmed-5686694 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Endocrine Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-56866942017-12-20 The Association of Percent Body Fat and Lean Mass With HbA(1c) in US Adults Bower, Julie K. Meadows, Rachel J. Foster, Meredith C. Foraker, Randi E. Shoben, Abigail B. J Endocr Soc Research Articles CONTEXT: Body fat and body composition distribution patterns affect diabetes risk and glycemic control, but most studies use proxy measures (e.g., body mass index). OBJECTIVE: This study examined the association of percent body fat and lean mass with glycated hemoglobin (HbA(1c)) in US adults. DESIGN: The National Health and Nutrition Examination Survey (NHANES) is a program of cross-sectional studies that enroll nationally representative samples of the US civilian noninstitutionalized population. SETTING: NHANES is designed to assess the health status of adults and children throughout the United States. PARTICIPANTS: This study included 11,125 participants aged 18 to 69 years from the 1999 through 2006 NHANES, comprising 846 persons with diagnosed diabetes and 10,125 without diabetes. MAIN OUTCOME MEASURES: Total and abdominal (trunk) percent body fat and lean mass were measured using dual-energy x-ray absorptiometry. Linear and logistic regression analyses were used to examine their association with HbA(1c). RESULTS: Among those without diagnosed diabetes, total and trunk percent body fat, as well as trunk and total lean mass, were strongly associated with elevated HbA(1c); odds ratios per 5% increment for the association of percent body fat with HbA(1c) >5.7% (39 mmol/mol) ranged from 1.60 to 2.01 across age and sex categories. Among adults with diabetes, higher total percent fat was associated with higher HbA(1c) in males age <40 years and higher trunk fat was associated with higher HbA(1c) in females across age categories. CONCLUSIONS: Lifestyle interventions to lower HbA(1c) should consider targeting both weight loss and body composition. Endocrine Society 2017-04-18 /pmc/articles/PMC5686694/ /pubmed/29264513 http://dx.doi.org/10.1210/js.2017-00046 Text en https://creativecommons.org/licenses/by/4.0/ This article has been published under the terms of the Creative Commons Attribution License (CC BY; https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Copyright for this article is retained by the author(s). |
spellingShingle | Research Articles Bower, Julie K. Meadows, Rachel J. Foster, Meredith C. Foraker, Randi E. Shoben, Abigail B. The Association of Percent Body Fat and Lean Mass With HbA(1c) in US Adults |
title | The Association of Percent Body Fat and Lean Mass With HbA(1c) in US Adults |
title_full | The Association of Percent Body Fat and Lean Mass With HbA(1c) in US Adults |
title_fullStr | The Association of Percent Body Fat and Lean Mass With HbA(1c) in US Adults |
title_full_unstemmed | The Association of Percent Body Fat and Lean Mass With HbA(1c) in US Adults |
title_short | The Association of Percent Body Fat and Lean Mass With HbA(1c) in US Adults |
title_sort | association of percent body fat and lean mass with hba(1c) in us adults |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5686694/ https://www.ncbi.nlm.nih.gov/pubmed/29264513 http://dx.doi.org/10.1210/js.2017-00046 |
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