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Excess fat on the body impacts obesity-related co-morbidity risk; however, the location of fat stores affects the severity of these risks. The purpose of this study was to examine segmental fat accumulation patterns by sex and ethnicity using international datasets. An amalgamated and cross-calibrated dataset of dual x-ray absorptiometry (DXA)-measured variables compiled segmental mass for bone mineral content (BMC), lean mass (LM), and fat mass (FM) for each participant; percentage of segment fat (PSF) was calculated as PSF = (FM/(BMC + LM + FM)) × 100. A total of 30 587 adults (N = 16 490 females) from 13 datasets were included. A regression model was used to examine differences in regional fat mass and PSF. All populations followed the same segmental fat mass accumulation in the ascending order with statistical significance (arms < legs < trunk), except for Hispanic/Latinx males (arms < [legs = trunk]). Relative fat accumulation patterns differed between those with greater PSF in the appendages (Arab, Mexican, Asian, Black, American Caucasian, European Caucasian, and Australasian Caucasian females; Black males) and those with greater PSF in the trunk (Mexican, Asian, American Caucasian, European Caucasian, and Australasian Caucasian males). Greater absolute and relative fat accumulation in the trunk could place males of most ethnicities in this study at a higher risk of visceral fat deposition and associated co-morbidities.
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http://dx.doi.org/10.1111/cob.12637 | DOI Listing |
Front Endocrinol (Lausanne)
September 2025
Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Objectives: To evaluate whether q-Dixon sequence-based fat fraction (FF) values of the lumbar spine can predict osteoporotic vertebral compression fracture (OVCF) risk in older adult(s) osteoporosis patients.
Materials & Methods: Thirty OVCF patients and 15 osteoporosis patients were enrolled. Areas of interest (ROIs) were manually drawn using the post-processing workstation, and FF values of the patient's L1-L4 vertebrae (except the fractured vertebrae) were measured.
Abdom Radiol (NY)
September 2025
Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK.
Objectives: The escalating global incidence of obesity, cardiometabolic disease and sarcopenia necessitates reliable body composition measurement tools. MRI-based assessment is the gold standard, with utility in both clinical and drug trial settings. This study aims to validate a new automated volumetric MRI method by comparing with manual ground truth, prior volumetric measurements, and against a new method for semi-automated single-slice area measurements.
View Article and Find Full Text PDFMagn Reson Med
September 2025
Aix Marseille Univ, CNRS, Centrale Med, Institut Fresnel, Marseille, France.
Purpose: Fat fraction (FF) quantification in individual muscles using quantitative MRI is of major importance for monitoring disease progression and assessing disease severity in neuromuscular diseases. Undersampling of MRI acquisitions is commonly used to reduce scanning time. The present paper introduces novel unrolled neural networks for the reconstruction of undersampled MRI acquisitions.
View Article and Find Full Text PDFNeuroradiology
September 2025
Universitair Ziekenhuis Leuven, Leuven, Belgium.
Aim: Volumetric analysis of orbital soft tissues using magnetic resonance imaging (MRI) offers valuable diagnostic and pathophysiological insights into orbital inflammation, trauma, and tumors. However, the optimal MRI protocols and post-processing methods for specific conditions remain unclear.
Methods: A systematic search was performed in PubMed/MEDLINE, Web of Science, and Cochrane Library for all studies published before November 2024.
Appl Physiol Nutr Metab
September 2025
University of Saskatchewan, Saskatoon, Canada;
Long-haul truck drivers (LHTD) face unique occupational challenges, including prolonged sedentary periods, irregular meal patterns, and limited access to physical activity, contributing to high levels of adiposity and elevated risks for chronic diseases. This study examined relationships between anthropometric measures, body composition, physical fitness, and occupational factors among Canadian LHTD and compared field-testing equipment for assessments of body composition. 197 LHTD underwent assessments of body anthropometry (body mass index, skinfold thickness, bioelectrical impedance analysis, segment circumference), grip strength, and completed a survey on physical activity and the work environment.
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