| Literature DB >> 27216083 |
Katsuyasu Kouda1, Namiraa Dongmei2, Junko Tamaki3, Masayuki Iki4, Takahiro Tachiki1, Etsuko Kajita5, Yoshimi Nakatani6, Kazuhiro Uenishi7, Sadanobu Kagamimori8, Yoshiko Kagawa9, Hideo Yoneshima10.
Abstract
In epidemiological studies, there is little evidence regarding the relative impact of central adiposity and peripheral adiposity on cardiometabolic risk factors, especially in Asian populations. This study investigated associations between central-to-peripheral fat ratios and cardiometabolic variables using data from a population-based study of Japanese women. The source population was composed of 1800 women aged 50 yr or older at the 15th- to 16th-yr follow-up survey of the Japanese Population-Based Osteoporosis Cohort Study. This study analyzed cross-sectional data from 998 women for whom complete information about body fat variables according to dual-energy X-ray absorptiometry, cardiometabolic variables, and potential confounding factors was available. Both before and after adjusting for potential confounding factors, trunk-to-appendicular fat ratios showed significant (p < 0.05) correlations with brachial-ankle pulse wave velocity, serum lipids, and hemoglobin A1c levels. Relationships between fat ratios and cardiometabolic variables were independent of relationships between fat volumes (in whole body or in trunk) and cardiometabolic variables. Furthermore, relationships between trunk-to-appendicular fat ratios and cardiometabolic variables were observed among women in the lowest tertile of total body fat (brachial-ankle pulse wave velocity, β = 0.08; high-density lipoprotein cholesterol, β = -0.32; low-density lipoprotein cholesterol, β = 0.15; and hemoglobin A1C, β = 0.16; p < 0.05, respectively). Central adiposity is more related to cardiometabolic variables than peripheral adiposity. Information on central-to-peripheral fat ratios is particularly valuable for the evaluation of relatively thin Japanese women.Entities:
Keywords: Body fat distribution; densitometry; epidemiology; risk factors
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Year: 2016 PMID: 27216083 DOI: 10.1016/j.jocd.2016.04.004
Source DB: PubMed Journal: J Clin Densitom ISSN: 1094-6950 Impact factor: 2.617