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
Overview
Public Health
Authors
Affiliations
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.
Chen S, Chen X, Huang Z, Fang A, Li S, Huang R Nutr J. 2024; 23(1):70.
PMID: 38982486 PMC: 11234726. DOI: 10.1186/s12937-024-00974-w.
Efficacy and safety of tesamorelin in people with HIV on integrase inhibitors.
Russo S, Ockene M, Arpante A, Johnson J, Lee H, Toribio M AIDS. 2024; 38(12):1758-1764.
PMID: 38905488 PMC: 11365754. DOI: 10.1097/QAD.0000000000003965.
Han M, Cao X, Zhang J, Yang X, Zhang Y, Liu Y Diabetes Metab Syndr Obes. 2024; 17:2065-2074.
PMID: 38778907 PMC: 11110821. DOI: 10.2147/DMSO.S457243.
Klapp R, Nimptsch K, Pischon T, Wilkens L, Lim U, Guillermo C Eur J Clin Nutr. 2023; 78(3):236-242.
PMID: 38097807 PMC: 11323202. DOI: 10.1038/s41430-023-01381-w.
Kouda K, Fujita Y, Nakama C, Ohara K, Tachiki T, Tamaki J Environ Health Prev Med. 2023; 28:30.
PMID: 37183008 PMC: 10188282. DOI: 10.1265/ehpm.22-00279.