Literature DB >> 27939251

Muscle Mass and Body Fat in Relation to Cardiovascular Risk Estimation and Lipid-Lowering Eligibility.

Kayoung Lee1.   

Abstract

This cross-sectional population-based study aimed to evaluate the relationships of muscle-mass and body-fat phenotypes to 10-yr risk of cardiovascular disease (CVD) events and eligibility for lipid management. Participants were Korean adults (N = 7315; 3163 men, 4152 women) aged 40-79 yr, free from stroke and coronary heart disease, who provided complete data for estimating 10-yr CVD risk and body composition during the Fifth Korea National Health and Nutrition Examination Survey (2009-2010). Four levels of combined muscle mass and body fat were determined using sex-specific quintiles of appendicular skeletal muscle mass divided by height squared, and sex-specific quintiles of total body fat percentage. Ten-year CVD risk was calculated using Pooled Cohort Equations and Framingham risk scores. Lipid-lowering medication eligibility was determined using American College of Cardiology/American Heart Association (ACC/AHA) and Adult Treatment Panel (ATP) III guidelines. Compared with the reference group, the risk of CVD events was higher in men with low muscle mass, high body fat, or the 2 factors combined. CVD risk was lower in women with low muscle mass, higher in women with high body fat, and nonsignificant in women with the 2 factors. Participants with low muscle mass and high body fat had higher odds for medication eligibility using the ACC/AHA guidelines but not the ATP III guidelines. Higher estimated 10-yr CVD risk was associated with combined phenotypes of low muscle mass and high fat in men but not in women. Also, the relationship of these phenotypes to lipid-lowering medication eligibility was guideline-specific.
Copyright © 2016. Published by Elsevier Inc.

Entities:  

Keywords:  Body composition; cardiovascular disease risk; fat mass; lipid-lowering medication; muscle mass

Mesh:

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Year:  2016        PMID: 27939251     DOI: 10.1016/j.jocd.2016.07.009

Source DB:  PubMed          Journal:  J Clin Densitom        ISSN: 1094-6950            Impact factor:   2.617


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