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Related Experiment Video

Updated: Jul 17, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

Estimating abdominal adipose tissue with DXA and anthropometry.

Alison M Hill1, Joe LaForgia, Alison M Coates

  • 1ATN Centre for Metabolic Fitness, Nutritional Physiology Research Centre, University of South Australia, Adelaide, South Australia 5005, Australia. alison.hill@adelaide.edu.au

Obesity (Silver Spring, Md.)
|February 15, 2007
PubMed
Summary

A new method using DXA scans and skinfolds accurately predicts intra-abdominal adipose tissue (IAAT) in overweight women. This simpler, safer approach aids lifestyle intervention assessment.

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Area of Science:

  • Body composition analysis
  • Medical imaging
  • Obesity research

Background:

  • Intra-abdominal adipose tissue (IAAT) is linked to metabolic disease.
  • Accurate IAAT measurement is crucial for assessing health risks and intervention effectiveness.
  • Computed tomography (CT) is the gold standard but is costly and involves radiation.

Purpose of the Study:

  • To identify a specific region of interest (ROI) from DXA scans.
  • To combine DXA ROI with anthropometry to predict IAAT.
  • To offer a cost-effective alternative to CT for IAAT assessment in overweight/obese individuals.

Main Methods:

  • Forty-one overweight/obese postmenopausal women were assessed.
  • DXA scans defined ROIs (5 or 10 cm above iliac crest).

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Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging
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Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging

Published on: June 7, 2024

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Last Updated: Jul 17, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging
06:48

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging

Published on: June 7, 2024

  • CT scans measured IAAT; anthropometric data and skinfolds were collected.

    • Main Results:

    • A predictive model for IAAT area was developed using DXA 10-cm ROI and abdominal skinfold.
    • The model explained 68% of the variance in IAAT area (r(2) = 0.68).
    • DXA ROI measurements for fat and lean mass showed excellent interobserver reliability.

    Conclusions:

    • A reliable DXA ROI, defined by the iliac crest, was identified.
    • A simple equation using DXA ROI and skinfold predicts IAAT in overweight/obese postmenopausal women.
    • This DXA-based method is a safer, more cost-effective alternative to CT for monitoring IAAT reduction.