ArticleObesity science & practice2020
Development and validation of body fat prediction models in American adults.
Article in Obesity science & practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Evaluation of Skinfolds Based Predictive Equations for Estimating Body Fat Percentage in Older Adults: A Comparison Using Digital Adipometer (Lipowise) and Dual-Energy X-Ray Absorptiometry (DXA).Clinical obesity · 2026Article
- Article
- Assessment of whole-body and regional body fat using abdominal quantitative computed tomography in Chinese women and men.Lipids in health and disease · 2024Article
- Muscle wasting assessment tools for prostate cancer.Scientific reports · 2022Article
- Relationships between anthropometric measurements, muscle strength and body awareness.Acta neurologica Belgica · 2022Article
- Improving the accuracy of fatty liver index to reflect liver fat content with predictive regression modelling.PloS one · 2022Article
- Development and validation of body fat prediction models in American adults.Obesity science & practice · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
introductionCommonly used statistical models to predict body fat percentage currently rely on skinfold measures, anthropometric measures, or some combination of the two but do not account for the wide ranges of age and body mass index (BMI) present in the American adult population. The objective of this study was to develop a statistical regression model to predict in vivo body fat percentage (dual energy X-ray) in men and women across significant age and obesity ranges.
methodsThis study included 228 adults between the ages of 21 and 70, with BMI between 18.5 and 40.0 kg m
resultsThe final statistical regression models included age, BMI, anthropometric measures, and skinfold measures with significant effects following the stepwise process. The models predicted body fat percentage in the testing group with average errors of less than 0.10% body fat in males and females, while the four previously existing methods (Durnin, Hodgdon, Jackson, and Woolcott) significantly underestimated or overestimated body fat in both genders, with errors ranging between 2% and 10%.
conclusionsThe final models included hand thickness, and the female model was dependent on waist circumference and two of the skinfold measures, while the male model used hip and thigh circumferences, along with three skinfold measures. By including the skinfold measurements separately, instead of only as sums like previous models have done, these models can account for the different relative contributions of each site to total body fat.
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Registered trials
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