The Association of Upper Body Obesity with Insulin Resistance in the Newfoundland Population

Body-fat distribution is a primary risk factor for insulin resistance and cardiovascular disease. Visceral fat explains only a portion of this risk. The link between upper-body fat and insulin resistance is uncertain. Furthermore, upper-body fat is not clearly defined. Dual-energy X-ray absorptiomet...

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Published in:International Journal of Environmental Research and Public Health
Main Authors: Youssef, Sherif, Nelder, Matthew, Sun, Guang
Format: Text
Language:English
Published: MDPI 2021
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198591/
http://www.ncbi.nlm.nih.gov/pubmed/34072554
https://doi.org/10.3390/ijerph18115858
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author Youssef, Sherif
Nelder, Matthew
Sun, Guang
author_facet Youssef, Sherif
Nelder, Matthew
Sun, Guang
author_sort Youssef, Sherif
collection PubMed Central (PMC)
container_issue 11
container_start_page 5858
container_title International Journal of Environmental Research and Public Health
container_volume 18
description Body-fat distribution is a primary risk factor for insulin resistance and cardiovascular disease. Visceral fat explains only a portion of this risk. The link between upper-body fat and insulin resistance is uncertain. Furthermore, upper-body fat is not clearly defined. Dual-energy X-ray absorptiometry (DXA) can accurately quantify body fat. In this study, we explored the relationship between non-visceral upper-body adiposity and insulin resistance and other markers of metabolic syndrome. Fat proportions in the upper body, leg, and visceral regions were quantified by using DXA in 2547 adult Newfoundlanders aged 19 and older. Adjusting for remaining fat regions, we performed partial correlation analysis for each body region and insulin resistance defined by the Homeostatic Model of Assessment (HOMA). Similarly, partial correlation analysis was also performed between each fat region and other markers of metabolic syndrome, including high-density lipoprotein cholesterol (HDL), triglycerides (TG), body mass index (BMI), and blood pressure. Major confounding factors, including age, caloric intake, and physical activity, were statistically controlled by using partial correlation analysis. Interactions between sex, menopausal status, and medication status were also tested. Arm adiposity was correlated with HOMA-IR (R = 0.132, p < 0.001) and HOMA-β (R = 0.134, p < 0.001). Visceral adiposity was correlated with HOMA-IR (R = 0.230, p < 0.001) and HOMA-β (R = 0.160, p < 0.001). No significant correlation between non-visceral trunk adiposity and insulin resistance was found. Non-visceral trunk adiposity was negatively correlated with HDL in men (R = −0.110, p < 0.001) and women (R = −0.117, p < 0.001). Non-visceral trunk adiposity was correlated with TG (total: R = 0.079, p < 0.001; men: R = 0.105, p = 0.012; women: R = 0.078, p = 0.001). In menopausal women, leg adiposity was negatively correlated with HOMA-IR (R = −0.196, p < 0.001) and HOMA-β (R = −0.101, p = 0.012). Upper-body adiposity in the ...
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op_rights © 2021 by the authors.
https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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spelling ftpubmed:oai:pubmedcentral.nih.gov:8198591 2025-01-16T23:25:22+00:00 The Association of Upper Body Obesity with Insulin Resistance in the Newfoundland Population Youssef, Sherif Nelder, Matthew Sun, Guang 2021-05-29 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198591/ http://www.ncbi.nlm.nih.gov/pubmed/34072554 https://doi.org/10.3390/ijerph18115858 en eng MDPI http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198591/ http://www.ncbi.nlm.nih.gov/pubmed/34072554 http://dx.doi.org/10.3390/ijerph18115858 © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). CC-BY Int J Environ Res Public Health Article Text 2021 ftpubmed https://doi.org/10.3390/ijerph18115858 2021-06-20T00:44:46Z Body-fat distribution is a primary risk factor for insulin resistance and cardiovascular disease. Visceral fat explains only a portion of this risk. The link between upper-body fat and insulin resistance is uncertain. Furthermore, upper-body fat is not clearly defined. Dual-energy X-ray absorptiometry (DXA) can accurately quantify body fat. In this study, we explored the relationship between non-visceral upper-body adiposity and insulin resistance and other markers of metabolic syndrome. Fat proportions in the upper body, leg, and visceral regions were quantified by using DXA in 2547 adult Newfoundlanders aged 19 and older. Adjusting for remaining fat regions, we performed partial correlation analysis for each body region and insulin resistance defined by the Homeostatic Model of Assessment (HOMA). Similarly, partial correlation analysis was also performed between each fat region and other markers of metabolic syndrome, including high-density lipoprotein cholesterol (HDL), triglycerides (TG), body mass index (BMI), and blood pressure. Major confounding factors, including age, caloric intake, and physical activity, were statistically controlled by using partial correlation analysis. Interactions between sex, menopausal status, and medication status were also tested. Arm adiposity was correlated with HOMA-IR (R = 0.132, p < 0.001) and HOMA-β (R = 0.134, p < 0.001). Visceral adiposity was correlated with HOMA-IR (R = 0.230, p < 0.001) and HOMA-β (R = 0.160, p < 0.001). No significant correlation between non-visceral trunk adiposity and insulin resistance was found. Non-visceral trunk adiposity was negatively correlated with HDL in men (R = −0.110, p < 0.001) and women (R = −0.117, p < 0.001). Non-visceral trunk adiposity was correlated with TG (total: R = 0.079, p < 0.001; men: R = 0.105, p = 0.012; women: R = 0.078, p = 0.001). In menopausal women, leg adiposity was negatively correlated with HOMA-IR (R = −0.196, p < 0.001) and HOMA-β (R = −0.101, p = 0.012). Upper-body adiposity in the ... Text Newfoundland PubMed Central (PMC) International Journal of Environmental Research and Public Health 18 11 5858
spellingShingle Article
Youssef, Sherif
Nelder, Matthew
Sun, Guang
The Association of Upper Body Obesity with Insulin Resistance in the Newfoundland Population
title The Association of Upper Body Obesity with Insulin Resistance in the Newfoundland Population
title_full The Association of Upper Body Obesity with Insulin Resistance in the Newfoundland Population
title_fullStr The Association of Upper Body Obesity with Insulin Resistance in the Newfoundland Population
title_full_unstemmed The Association of Upper Body Obesity with Insulin Resistance in the Newfoundland Population
title_short The Association of Upper Body Obesity with Insulin Resistance in the Newfoundland Population
title_sort association of upper body obesity with insulin resistance in the newfoundland population
topic Article
topic_facet Article
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198591/
http://www.ncbi.nlm.nih.gov/pubmed/34072554
https://doi.org/10.3390/ijerph18115858