ArticleClinical obesity2026
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).
Article in Clinical obesity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
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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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Effects of Colostrum Bovinum Supplementation on Human Body Fat Content and/or Blood Lipid Profile: A Systematic Review of Clinical Trials.Nutrients · 2026Pooled it
- Nutritional Monitoring During Gender-Affirming Hormone Therapy: Body Composition and Metabolic Implications.Nutrients · 2026Review
- 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
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Accurate assessment of body fat percentage (%BF) is essential for predicting health risks in older adults, as age-related changes affect fat distribution and measurement accuracy. While dual-energy x-ray absorptiometry (DXA) is a standard reference, it is costly and less accessible. This pilot study evaluated the validity of four skinfold equations using a digital calliper, with DXA as the reference to estimate %BF in older adults. A cross-sectional study included 149 participants (28 men and 121 women) aged 60 to 86 years. The Lean, Durnin-Womersley, and Visser equations (using 2 and 4 skinfolds) were analysed to estimate %BF. Statistical analyses were performed using SPSS (v.29), including Student's t-test, Mann-Whitney, Cohen's Kappa, and Bland-Altman. Skinfold equations differed significantly from DXA-derived %BF. In women, DXA values were lower than Lean but higher than Durnin-Womersley; in men, DXA showed lower %BF than Lean and higher than others. Agreement with DXA was moderate (Kappa 0.54-0.59). Durnin-Womersley underestimated %BF, especially in men (11.5%); Lean slightly overestimated (1.3%). Visser showed minimal bias-slight overestimation in women (0.3%, 0.4%) and underestimation in men (3.7%, 4.3%). Age-related physiological factors may impact equation accuracy. Discrepancies between DXA and skinfold equations highlight the need for age-specific prediction models for older adults.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.