Literature DB >> 33743595

Associations between trunk-to-peripheral fat ratio and cardiometabolic risk factors in elderly Japanese men: baseline data from the Fujiwara-kyo Osteoporosis Risk in Men (FORMEN) study.

Katsuyasu Kouda1, Yuki Fujita2, Kumiko Ohara2, Takahiro Tachiki3, Junko Tamaki4, Akiko Yura2, Jong-Seong Moon5, Etsuko Kajita3, Kazuhiro Uenishi6, Masayuki Iki2.   

Abstract

BACKGROUND: Body mass-independent parameters might be more appropriate for assessing cardiometabolic abnormalities than weight-dependent indices in Asians who have relatively high visceral adiposity but low body fat. Dual-energy X-ray absorptiometry (DXA)-measured trunk-to-peripheral fat ratio is one such body mass-independent index. However, there are no reports on relationships between DXA-measured regional fat ratio and cardiometabolic risk factors targeting elderly Asian men.
METHODS: We analyzed cross-sectional data of 597 elderly men who participated in the baseline survey of the Fujiwara-kyo Osteoporosis Risk in Men (FORMEN) study, a community-based single-center prospective cohort study conducted in Japan. Whole-body fat and regional fat were measured with a DXA scanner. Trunk-to-appendicular fat ratio (TAR) was calculated as trunk fat divided by appendicular fat (sum of arm and leg fat), and trunk-to-leg fat ratio (TLR) as trunk fat divided by leg fat.
RESULTS: Both TAR and TLR in the group of men who used ≥ 1 medication for hypertension, dyslipidemia, or diabetes ("user group"; N = 347) were significantly larger than those who did not use such medication ("non-user group"; N = 250) (P < 0.05). After adjusting for potential confounding factors including whole-body fat, both TAR and TLR were significantly associated with low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglyceride, fasting serum insulin, and the insulin resistance index in the non-user group and non-overweight men in the non-user group (N = 199).
CONCLUSION: The trunk-to-peripheral fat ratio was associated with cardiometabolic risk factors independently of whole-body fat mass. Parameters of the fat ratio may be useful for assessing cardiometabolic risk factors, particularly in underweight to normal-weight populations.

Entities:  

Keywords:  Body fat distribution; Densitometry; Epidemiology; Risk factors

Year:  2021        PMID: 33743595      PMCID: PMC7980554          DOI: 10.1186/s12199-021-00959-9

Source DB:  PubMed          Journal:  Environ Health Prev Med        ISSN: 1342-078X            Impact factor:   3.674


  29 in total

1.  DXA surrogates for visceral fat are inversely associated with bone density measures in adolescent athletes with menstrual dysfunction.

Authors:  Kathryn E Ackerman; Brittany Davis; Leah Jacoby; Madhusmita Misra
Journal:  J Pediatr Endocrinol Metab       Date:  2011       Impact factor: 1.634

Review 2.  Abdominal fat distribution and the metabolic syndrome.

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Authors:  N Ruderman; D Chisholm; X Pi-Sunyer; S Schneider
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4.  Prevalence of metabolically obese but normal weight (MONW) and metabolically healthy but obese (MHO) in Chinese Beijing urban subjects.

Authors:  Yan Zhang; Jing Fu; Shuwen Yang; Ming Yang; Annan Liu; Leilei Wang; Suyan Cao; Xue Sun; Fang Wang; Deping Liu
Journal:  Biosci Trends       Date:  2017-07-24       Impact factor: 2.400

Review 5.  Epidemic obesity and type 2 diabetes in Asia.

Authors:  Kun-Ho Yoon; Jin-Hee Lee; Ji-Won Kim; Jae Hyoung Cho; Yoon-Hee Choi; Seung-Hyun Ko; Paul Zimmet; Ho-Young Son
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Authors:  M A Laskey
Journal:  Nutrition       Date:  1996-01       Impact factor: 4.008

8.  Ethnic comparisons of the cross-sectional relationships between measures of body size with diabetes and hypertension.

Authors:  R Huxley; W P T James; F Barzi; J V Patel; S A Lear; P Suriyawongpaisal; E Janus; I Caterson; P Zimmet; D Prabhakaran; S Reddy; M Woodward
Journal:  Obes Rev       Date:  2008-03       Impact factor: 9.213

Review 9.  Pathophysiology of human visceral obesity: an update.

Authors:  André Tchernof; Jean-Pierre Després
Journal:  Physiol Rev       Date:  2013-01       Impact factor: 37.312

Review 10.  Type 2 diabetes in East Asians: similarities and differences with populations in Europe and the United States.

Authors:  Ronald C W Ma; Juliana C N Chan
Journal:  Ann N Y Acad Sci       Date:  2013-04       Impact factor: 5.691

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