ArticleAmerican journal of human biology : the official journal of the Human Biology Council2016
Dual energy X-ray absorptiometry spine scans to determine abdominal fat in postmenopausal women.
Article in American journal of human biology : the official journal of the Human Biology Council, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Adiposity associations with risk of colorectal cancer: a systematic review.Obesity (Silver Spring, Md.) · 2025Pooled it
- Effectiveness of an mHealth-based impact exercise program for bone health in postmenopausal women: a randomised controlled trial protocol.BMC public health · 2025Article
- Use of iDXA spine scans to evaluate total and visceral abdominal fat.American journal of human biology : the official journal of the Human Biology Council · 2018Article
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Authors and funding
9 authors at 3 institutions in 1 country.
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Abstract
Body composition may be a better predictor of chronic disease risk than body mass index (BMI) in older populations.
objectivesWe sought to validate spine fat fraction (%) from dual energy X-ray absorptiometry (DXA) spine scans as a proxy for total abdominal fat.
methodsTotal body DXA scan abdominal fat regions of interest (ROI) that have been previously validated by magnetic resonance imaging were assessed among healthy, postmenopausal women who also had antero-posterior spine scans (n = 103). ROIs were (1) lumbar vertebrae L2-L4 and (2) L2-Iliac Crest (L2-IC), manually selected by two independent raters, and (3) trunk, auto-selected by DXA software. Intra-class correlation coefficients evaluated intra and inter-rater reliability on a random subset (N = 25). Linear regression models, validated by bootstrapping, assessed the relationship between spine fat fraction (%) and total abdominal fat (%) ROIs.
resultsMean age, BMI, and total body fat were 66.1 ± 4.8 y, 25.8 ± 3.8 kg/m
conclusionsThe strong correlation between spine fat fraction and DXA abdominal fat measures make it suitable for further development in postmenopausal chronic disease risk prediction models. Am. J. Hum. Biol. 28:918-926, 2016. © 2016Wiley Periodicals, Inc.
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