Different Associations of Trunk and Lower-Body Fat Mass Distribution with Cardiometabolic Risk Factors between Healthy Middle-Aged Men and Women

The aim of this study was to assess whether the gender-specific pattern of fat mass (FM) distribution is related to gender differences in cardiometabolic risk factors. 207 healthy middle-aged Japanese were included in the study. We measured FM in the total body, trunk, and lower-body with dual-energ...

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Main Authors: Bin Wu, Jingshan Huang, Keisuke Fukuo, Kazuhisa Suzuki, Gen Yoshino, Tsutomu Kazumi
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:International Journal of Endocrinology
Online Access:http://dx.doi.org/10.1155/2018/1289485
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author Bin Wu
Jingshan Huang
Keisuke Fukuo
Kazuhisa Suzuki
Gen Yoshino
Tsutomu Kazumi
author_facet Bin Wu
Jingshan Huang
Keisuke Fukuo
Kazuhisa Suzuki
Gen Yoshino
Tsutomu Kazumi
author_sort Bin Wu
collection DOAJ
description The aim of this study was to assess whether the gender-specific pattern of fat mass (FM) distribution is related to gender differences in cardiometabolic risk factors. 207 healthy middle-aged Japanese were included in the study. We measured FM in the total body, trunk, and lower-body with dual-energy X-ray absorptiometry (DXA). The percentage of trunk FM (TFM) and lower-body FM (LFM) is noted as %TFM and %LFM, respectively. Other measurements included glucose and insulin during oral glucose tolerance test (OGTT), leptin, adiponectin, plasminogen activator inhibitor-1 (PAI-1), tumor necrosis factor-α (TNF-α), C-reactive protein (CRP), and systemic oxidative stress marker. Arterial properties were indicated by cardio-ankle vascular index (CAVI) and intima-media thickness (IMT) of the common carotid artery. The results showed that %TFM is higher whereas %LFM is lower in men than in women and men have a more atherogenic cardiometabolic profile. In both genders, %TFM (%LFM) is related to an unfavorable (favorable) cardiometabolic profile. In particular, the relation between %LFM and OGTT-derived insulin sensitivity index is stronger in women than in men. These findings suggested that in relatively healthy adults, android and gynoid pattern of FM distribution contributes to gender differences in cardiometabolic risk factors.
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institution Kabale University
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publishDate 2018-01-01
publisher Wiley
record_format Article
series International Journal of Endocrinology
spelling doaj-art-5c6ffac6798c4a85a49dd1a7c411dea52025-02-03T01:25:39ZengWileyInternational Journal of Endocrinology1687-83371687-83452018-01-01201810.1155/2018/12894851289485Different Associations of Trunk and Lower-Body Fat Mass Distribution with Cardiometabolic Risk Factors between Healthy Middle-Aged Men and WomenBin Wu0Jingshan Huang1Keisuke Fukuo2Kazuhisa Suzuki3Gen Yoshino4Tsutomu Kazumi5Open Research Center for Studying of Lifestyle-Related Diseases, Mukogawa Women’s University, 6-46 Ikebiraki-cho, Nishinomiya, Hyogo 663-8558, JapanSchool of Computing, University of South Alabama, Mobile, AL 36688-0002, USAOpen Research Center for Studying of Lifestyle-Related Diseases, Mukogawa Women’s University, 6-46 Ikebiraki-cho, Nishinomiya, Hyogo 663-8558, JapanOpen Research Center for Studying of Lifestyle-Related Diseases, Mukogawa Women’s University, 6-46 Ikebiraki-cho, Nishinomiya, Hyogo 663-8558, JapanDepartment of Diabetes and Endocrinology, Toho University Omori Medical Center, Omori-Ku, Omori-nishi 6-11-1, Tokyo 143-8541, JapanOpen Research Center for Studying of Lifestyle-Related Diseases, Mukogawa Women’s University, 6-46 Ikebiraki-cho, Nishinomiya, Hyogo 663-8558, JapanThe aim of this study was to assess whether the gender-specific pattern of fat mass (FM) distribution is related to gender differences in cardiometabolic risk factors. 207 healthy middle-aged Japanese were included in the study. We measured FM in the total body, trunk, and lower-body with dual-energy X-ray absorptiometry (DXA). The percentage of trunk FM (TFM) and lower-body FM (LFM) is noted as %TFM and %LFM, respectively. Other measurements included glucose and insulin during oral glucose tolerance test (OGTT), leptin, adiponectin, plasminogen activator inhibitor-1 (PAI-1), tumor necrosis factor-α (TNF-α), C-reactive protein (CRP), and systemic oxidative stress marker. Arterial properties were indicated by cardio-ankle vascular index (CAVI) and intima-media thickness (IMT) of the common carotid artery. The results showed that %TFM is higher whereas %LFM is lower in men than in women and men have a more atherogenic cardiometabolic profile. In both genders, %TFM (%LFM) is related to an unfavorable (favorable) cardiometabolic profile. In particular, the relation between %LFM and OGTT-derived insulin sensitivity index is stronger in women than in men. These findings suggested that in relatively healthy adults, android and gynoid pattern of FM distribution contributes to gender differences in cardiometabolic risk factors.http://dx.doi.org/10.1155/2018/1289485
spellingShingle Bin Wu
Jingshan Huang
Keisuke Fukuo
Kazuhisa Suzuki
Gen Yoshino
Tsutomu Kazumi
Different Associations of Trunk and Lower-Body Fat Mass Distribution with Cardiometabolic Risk Factors between Healthy Middle-Aged Men and Women
International Journal of Endocrinology
title Different Associations of Trunk and Lower-Body Fat Mass Distribution with Cardiometabolic Risk Factors between Healthy Middle-Aged Men and Women
title_full Different Associations of Trunk and Lower-Body Fat Mass Distribution with Cardiometabolic Risk Factors between Healthy Middle-Aged Men and Women
title_fullStr Different Associations of Trunk and Lower-Body Fat Mass Distribution with Cardiometabolic Risk Factors between Healthy Middle-Aged Men and Women
title_full_unstemmed Different Associations of Trunk and Lower-Body Fat Mass Distribution with Cardiometabolic Risk Factors between Healthy Middle-Aged Men and Women
title_short Different Associations of Trunk and Lower-Body Fat Mass Distribution with Cardiometabolic Risk Factors between Healthy Middle-Aged Men and Women
title_sort different associations of trunk and lower body fat mass distribution with cardiometabolic risk factors between healthy middle aged men and women
url http://dx.doi.org/10.1155/2018/1289485
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