Title: DXA reference values and anthropometric screening for visceral obesity in Western Australian adults
Authors: Dr Jonathan Staynor, Marc Smith, Dr Cyril Donnelly, Dr Amar El-Sallam, & Dr Tim Ackland
Journal: Nature - Scientific Reports
Lead by Professor Tim Ackland at The University of Western Australia, the objectives of this study were to provide reference values for iDXA-derived visceral adipose tissue mass and compare these with anthropometry measures and the commonly used Body Mass Index (BMI). Visceral adipose tissue (VAT) is fat stored internally within the abdominal cavity in close proximity to internal organs; it is a significant predictor of incident cardiovascular disease, type 2 diabetes, cancer, and mortality. The study cohort comprised 677 men and 738 women aged 18–65 years. Participants underwent criterion measurements of body composition and anthropometry by trained technicians. iDXA scans are considered a gold standard for measuring an individual’s whole body composition. The iDXA data presented in this publication is the same dataset that was used to train, validate, and test AHI's in-device machine learning models for body circumference and composition predictions. The publication of this iDXA data, in an internationally respected journal which focuses on scientific rigour, highlights the quality of the methods and processes used to collect and analyse this data.
Highlights of the paper include:
The normative distributions presented within the research allow for the screening of people with body composition phenotypes associated with an increased risk of chronic disease. Screening is made possible through the use of accessible measures of body circumferences; which have potential to highlight people who should be referred for additional body composition and health assessments, as well as given appropriate advice to reduce long-term disease risk.
Advanced Human Imaging's technology leverages this extensive dataset to accurately measure body shape and composition within a user’s smartphone to identify biometric indicators for the early identification of health risks.
About Nature and Scientific Reports:
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