ArticleJournal of science in sport and exercise2024
Predicting Body Fat Percentage from Anthropometric Measurements in Asian Athletes.
Article in Journal of science in sport and exercise, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Anthropometric-based predictive equations developed with multi-component models for estimating body composition in athletes.European journal of applied physiology · 2025Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Purpose: Researchers have predicted body fat percentage (BF%), as indicated by dual energy X-ray absorptiometry (DXA), from skinfold thicknesses in North American and European athletes, but not athletes from other regions. We sought to estimate an equation to predict BF% in elite Asian athletes from their skinfold thickness and girth measurements, with DXA as a reference method. Methods: We collected data from two samples of athletes on Singaporean national teams. With the first sample ( Results: Triceps, subscapular, front thigh, and (natural log of) abdominal skinfold thicknesses, waist circumference, and female sex were positively associated with BF% ( Conclusion: Our equation for predicting BF% from anthropometric measurements is the first one based on Asian athletes. This equation could help practitioners estimate BF% of Asian athletes if DXA is unavailable.
Indexed as
Identifiers
What OpenQuestion holds
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 OpenQuestion graph.