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.
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http://dx.doi.org/10.1016/j.ejim.2013.07.001 | DOI Listing |
Alzheimers Dement
December 2024
Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA.
Background: MODEL-AD (Model Organism Development and Evaluation for Late-onset AD) is developing, characterizing, and distributing novel mouse models expressing humanized, clinically relevant genetic risk factors. Models expressing human-relevant risk genetic risk factors are expected to better phenocopy LOAD than widely used transgenic models.
Method: Here, two genetic risk factors APOE4 and Trem2*R47H, were incorporated into C57BL/6J (B6) mice along with humanized amyloid-beta to produce the LOAD2 model.
Magn Reson Med
January 2025
Department of Biomedical Engineering, The University of Memphis, Memphis, Tennessee, USA.
Purpose: To investigate the impact of iron particle size on and fat fraction (FF) estimations for coexisting hepatic iron overload and steatosis condition using Monte Carlo simulations and phantoms.
Methods: Three iron particle sizes (0.38, 0.
BMC Public Health
January 2025
Institute of Child and Adolescent Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China.
Background: To investigate the joint associations between various body fat distribution parameters and high blood pressure (HBP) using the Bayesian Kernel Machine Regression (BKMR) model in school-aged children.
Methods: A diverse sample of 7 ∼ 17 years old (N = 1423; 50.25% boys) was recruited for this study.
Cardiovasc Diabetol
January 2025
Department of Nuclear Cardiology, National Institute of Cardiology Ignacio Chavez, Mexico City, Mexico.
Background: Adipose tissue distribution plays a crucial role in the development of cardiovascular complications. In particular, visceral adipose tissue (VAT) has been linked to insulin resistance (IR) and cardiovascular disease (CVD). However, the relationship between VAT, cardiac dysfunction and the meditation capacity of VAT related to IR has not been fully characterized.
View Article and Find Full Text PDFBMC Endocr Disord
January 2025
Hospital Affiliated to Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250011, China.
Background: Hydroxychloroquine (HCQ) is frequently utilized in rheumatic immune disorders and has been discovered to exert hypoglycemic effects in some obese women with polycystic ovary syndrome(PCOS), however, the precise efficacy and mechanism of action remain ambiguous.
Objective: To examine the impact of HCQ on glucose and lipid metabolism as well as sex hormone levels in obese women with PCOS.
Method: Fifty obese women with PCOS were randomly allocated into two groups: HCQ group (n = 25) and metformin (MET) group (n = 25).
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