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1.
Obesity (Silver Spring) ; 22(3): 828-35, 2014 Mar.
Article in English | MEDLINE | ID: mdl-23512933

ABSTRACT

OBJECTIVE: Aim of this study was to investigate the association of total and regional lean body mass (LBM) with cardiometabolic risk factors in healthy obese and nonobese postmenopausal women. METHODS: A total of 150 postmenopausal women (age 54 ± 7 years, BMI 29.6 ± 5.8 kg/m2) underwent a comprehensive assessment of cardiometabolic risk, including metabolic syndrome (MS). Body composition analysis was performed with Dual-energy X-ray Absorptiometry, and multiple height-adjusted indices of total and regional LBM were evaluated. RESULTS: After controlling for age, diet, physical activity, and total fat mass, most indices of total, central, and peripheral LBM displayed significant positive correlations with cardiometabolic risk factors. Most associations were no longer significant after controlling for waist circumference, with the only exception of lean mass in the arms, which remained significantly associated with the presence and severity of MS (number of MS abnormalities), independently of central adiposity. A significant additive interaction was found between lean mass in the arms and waist circumference in increasing the prevalence of MS. CONCLUSIONS: LBM is unfavorably associated with cardiometabolic risk factors in healthy postmenopausal women. Whether LBM, especially in arms, is associated with cardiometabolic health independently of central fat distribution in postmenopausal women, merits further investigation.


Subject(s)
Body Composition , Body Mass Index , Cardiovascular Diseases/epidemiology , Metabolic Syndrome/epidemiology , Postmenopause , Absorptiometry, Photon , Adiposity , Cross-Sectional Studies , Diet , Female , Humans , Middle Aged , Motor Activity , Obesity/epidemiology , Risk Factors , Waist Circumference , White People
2.
Eur J Intern Med ; 24(8): 824-31, 2013 Dec.
Article in English | MEDLINE | ID: mdl-24169066

ABSTRACT

BACKGROUND: Regional fat distribution is an important determinant of cardiometabolic risk after menopause. The aim of the present study was to investigate the association between indices of fat distribution obtained by Dual-energy X-ray Absorptiometry (DXA) and representative cardiometabolic risk factors in a cohort of healthy postmenopausal women. METHODS: In this cross-sectional study, cardiometabolic risk factors were correlated with a variety of central and peripheral fat depots obtained by DXA, in a total of 150 postmenopausal women, free of diabetes and cardiovascular disease (age 54 ± 7 years, BMI 29.6 ± 5.8 kg/m(2), mean ± 1 SD). RESULTS: After adjusting for age and total adiposity, DXA-derived indices of central and peripheral fat distribution displayed opposite associations (positive versus negative) with the examined cardiometabolic risk factors. In multivariate regression analysis, thoracic fat mass % was an independent predictor of blood pressure, HOMA index and triglycerides, abdominal fat mass % was an independent predictor of high sensitivity C-reactive protein, and abdominal-to-gluteofemoral fat ratio was an independent predictor of high density lipoprotein cholesterol. An index of peripheral fat distribution, gluteofemoral fat mass %, proved to be the most important determinant of metabolic syndrome (Odds Ratio 0.76, 95% confidence intervals 0.67-0.87, p<0.001), independent of total and central adiposity. CONCLUSION: DXA-derived indices of regional fat distribution such as thoracic, abdominal and gluteofemoral fat, correlate significantly with cardiometabolic risk factors in healthy postmenopausal women, and may serve as clinically useful tools for evaluating cardiometabolic risk after menopause.


Subject(s)
Blood Pressure , Body Fat Distribution , C-Reactive Protein/metabolism , Cholesterol, HDL/blood , Insulin Resistance , Overweight/metabolism , Postmenopause , Triglycerides/blood , Abdominal Fat , Absorptiometry, Photon , Body Mass Index , Cardiovascular Diseases , Cohort Studies , Cross-Sectional Studies , Female , Humans , Linear Models , Logistic Models , Metabolic Syndrome , Middle Aged , Multivariate Analysis , Obesity/metabolism , Obesity, Abdominal/metabolism , Risk Factors
3.
Obesity (Silver Spring) ; 21(9): 1807-14, 2013 Sep.
Article in English | MEDLINE | ID: mdl-23696298

ABSTRACT

OBJECTIVE: Although obesity is typically associated with increased cardiovascular risk, a subset of obese individuals display a normal metabolic profile ("metabolically healthy obese," MHO) and conversely, a subset of nonobese subjects present with obesity-associated cardiometabolic abnormalities ("metabolically obese nonobese," MONO). The aim of this cross-sectional study was to identify the most important body composition determinants of metabolic phenotypes of obesity in nonobese and obese healthy postmenopausal women. DESIGN AND METHODS: We studied a total of 150 postmenopausal women (age 54 ± 7 years, mean ± 1 SD). Based on a cardiometabolic risk score, nonobese (body mass index [BMI] ≤ 27) and obese women (BMI > 27) were classified into "metabolically healthy" and "unhealthy" phenotypes. Total and regional body composition was assessed with dual-energy X-ray absorptiometry (DXA). RESULTS: In both obese and nonobese groups, the "unhealthy" phenotypes were characterized by frequent bodyweight fluctuations, higher biochemical markers of insulin resistance, hepatic steatosis and inflammation, and higher anthropometric and DXA-derived indices of central adiposity, compared with "healthy" phenotypes. Indices of total adiposity, peripheral fat distribution and lean body mass were not significantly different between "healthy" and "unhealthy" phenotypes. Despite having increased fat mass, MHO women exhibited comparable cardiometabolic parameters with healthy nonobese, and better glucose and lipid levels than MONO. Two DXA-derived indices, trunk-to-legs and abdominal-to-gluteofemoral fat ratio were the major independent determinants of the "unhealthy" phenotypes in our cohort. CONCLUSIONS: The "metabolically obese phenotype" is associated with bodyweight variability, multiple cardiometabolic abnormalities and an excess of central relative to peripheral fat in postmenopausal women. DXA-derived centrality ratios can discriminate effectively between metabolic subtypes of obesity in menopause.


Subject(s)
Abdominal Fat/metabolism , Body Fat Distribution , Body Weight , Cardiovascular Diseases/metabolism , Metabolic Diseases/complications , Obesity/metabolism , Postmenopause , Absorptiometry, Photon , Adipose Tissue/metabolism , Biomarkers , Blood Glucose/metabolism , Body Fluid Compartments/metabolism , Body Mass Index , Cardiovascular Diseases/etiology , Cross-Sectional Studies , Fatty Liver/metabolism , Female , Humans , Inflammation/complications , Inflammation/metabolism , Insulin Resistance , Lipids/blood , Metabolic Diseases/blood , Metabolic Diseases/metabolism , Middle Aged , Obesity, Abdominal/metabolism , Phenotype , Reference Values
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