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Associations of Body Mass and Fat Indexes With Cardiometabolic Traits

BACKGROUND: Body mass index (BMI) is criticized for not distinguishing fat from lean mass and ignoring fat distribution, leaving its ability to detect health effects unclear. OBJECTIVES: The aim of this study was to compare BMI with total and regional fat indexes from dual-energy x-ray absorptiometr...

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Autores principales: Bell, Joshua A., Carslake, David, O’Keeffe, Linda M., Frysz, Monika, Howe, Laura D., Hamer, Mark, Wade, Kaitlin H., Timpson, Nicholas J., Davey Smith, George
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Biomedical 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6290112/
https://www.ncbi.nlm.nih.gov/pubmed/30545453
http://dx.doi.org/10.1016/j.jacc.2018.09.066
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author Bell, Joshua A.
Carslake, David
O’Keeffe, Linda M.
Frysz, Monika
Howe, Laura D.
Hamer, Mark
Wade, Kaitlin H.
Timpson, Nicholas J.
Davey Smith, George
author_facet Bell, Joshua A.
Carslake, David
O’Keeffe, Linda M.
Frysz, Monika
Howe, Laura D.
Hamer, Mark
Wade, Kaitlin H.
Timpson, Nicholas J.
Davey Smith, George
author_sort Bell, Joshua A.
collection PubMed
description BACKGROUND: Body mass index (BMI) is criticized for not distinguishing fat from lean mass and ignoring fat distribution, leaving its ability to detect health effects unclear. OBJECTIVES: The aim of this study was to compare BMI with total and regional fat indexes from dual-energy x-ray absorptiometry in their associations with cardiometabolic traits. Duration of exposure to and change in each index across adolescence were examined in relation to detailed traits in young adulthood. METHODS: BMI was examined alongside total, trunk, arm, and leg fat indexes (each in kilograms per square meter) from dual-energy x-ray absorptiometry at ages 10 and 18 years in relation to 230 traits from targeted metabolomics at age 18 years in 2,840 offspring from the Avon Longitudinal Study of Parents and Children. RESULTS: Higher total fat mass index and BMI at age 10 years were similarly associated with cardiometabolic traits at age 18 years, including higher systolic and diastolic blood pressure, higher very low-density lipoprotein and low-density lipoprotein cholesterol, lower high-density lipoprotein cholesterol, higher triglycerides, and higher insulin and glycoprotein acetyls. Associations were stronger for both indexes measured at age 18 years and for gains in each index from age 10 to 18 years (e.g., 0.45 SDs [95% confidence interval: 0.38 to 0.53] in glycoprotein acetyls per SD unit gain in fat mass index vs. 0.38 SDs [95% confidence interval: 0.27 to 0.48] per SD unit gain in BMI). Associations resembled those for trunk fat index. Higher lean mass index was weakly associated with traits and was not protective against higher fat mass index. CONCLUSIONS: The results of this study support abdominal fatness as a primary driver of cardiometabolic dysfunction and BMI as a useful tool for detecting its effects.
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spelling pubmed-62901122018-12-18 Associations of Body Mass and Fat Indexes With Cardiometabolic Traits Bell, Joshua A. Carslake, David O’Keeffe, Linda M. Frysz, Monika Howe, Laura D. Hamer, Mark Wade, Kaitlin H. Timpson, Nicholas J. Davey Smith, George J Am Coll Cardiol Article BACKGROUND: Body mass index (BMI) is criticized for not distinguishing fat from lean mass and ignoring fat distribution, leaving its ability to detect health effects unclear. OBJECTIVES: The aim of this study was to compare BMI with total and regional fat indexes from dual-energy x-ray absorptiometry in their associations with cardiometabolic traits. Duration of exposure to and change in each index across adolescence were examined in relation to detailed traits in young adulthood. METHODS: BMI was examined alongside total, trunk, arm, and leg fat indexes (each in kilograms per square meter) from dual-energy x-ray absorptiometry at ages 10 and 18 years in relation to 230 traits from targeted metabolomics at age 18 years in 2,840 offspring from the Avon Longitudinal Study of Parents and Children. RESULTS: Higher total fat mass index and BMI at age 10 years were similarly associated with cardiometabolic traits at age 18 years, including higher systolic and diastolic blood pressure, higher very low-density lipoprotein and low-density lipoprotein cholesterol, lower high-density lipoprotein cholesterol, higher triglycerides, and higher insulin and glycoprotein acetyls. Associations were stronger for both indexes measured at age 18 years and for gains in each index from age 10 to 18 years (e.g., 0.45 SDs [95% confidence interval: 0.38 to 0.53] in glycoprotein acetyls per SD unit gain in fat mass index vs. 0.38 SDs [95% confidence interval: 0.27 to 0.48] per SD unit gain in BMI). Associations resembled those for trunk fat index. Higher lean mass index was weakly associated with traits and was not protective against higher fat mass index. CONCLUSIONS: The results of this study support abdominal fatness as a primary driver of cardiometabolic dysfunction and BMI as a useful tool for detecting its effects. Elsevier Biomedical 2018-12-18 /pmc/articles/PMC6290112/ /pubmed/30545453 http://dx.doi.org/10.1016/j.jacc.2018.09.066 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bell, Joshua A.
Carslake, David
O’Keeffe, Linda M.
Frysz, Monika
Howe, Laura D.
Hamer, Mark
Wade, Kaitlin H.
Timpson, Nicholas J.
Davey Smith, George
Associations of Body Mass and Fat Indexes With Cardiometabolic Traits
title Associations of Body Mass and Fat Indexes With Cardiometabolic Traits
title_full Associations of Body Mass and Fat Indexes With Cardiometabolic Traits
title_fullStr Associations of Body Mass and Fat Indexes With Cardiometabolic Traits
title_full_unstemmed Associations of Body Mass and Fat Indexes With Cardiometabolic Traits
title_short Associations of Body Mass and Fat Indexes With Cardiometabolic Traits
title_sort associations of body mass and fat indexes with cardiometabolic traits
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6290112/
https://www.ncbi.nlm.nih.gov/pubmed/30545453
http://dx.doi.org/10.1016/j.jacc.2018.09.066
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