SynthesisEuropean journal of applied physiology2025
Anthropometric-based predictive equations developed with multi-component models for estimating body composition in athletes.
Synthesis in European journal of applied physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 12 papers.
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.
Sports Nutrition Assessment Program at the University of Alicante
Anthropometric, Dietary, Exercise, and Supplementation Profile in Athletes With Disabilities (PADES)
Who cites it
12 citing papers in PubMed.
- Body fat estimation in the Mexican women's national soccer team: a cross-sectional agreement study between a derived Mexican Football Federation anthropometric equation and dual-energy X-ray absorptiometry.Journal of the International Society of Sports Nutrition · 2026Article
- What is measured and what is estimated in body composition? A clarification framework for terminology and interpretation.Reviews in endocrine & metabolic disorders · 2026Review
- Structural and Potentially Modifiable Anthropometric Traits in Professional Kenyan and European Long-Distance Runners: A Cross-Sectional Study.Journal of functional morphology and kinesiology · 2026Article
- Systematic organisation of skinfold callipers: an approach based on physical-mechanical properties and characteristics.The British journal of nutrition · 2025Review
- Field Position-Related Variations in Body Mass, Postural Control, and Isokinetic Strength in Portuguese Professional Football.Journal of functional morphology and kinesiology · 2025Article
- Reference Tolerance Ellipses in Bioelectrical Impedance Vector Analysis Across General, Pediatric, Pathological, and Athletic Populations: A Scoping Review.Journal of functional morphology and kinesiology · 2025Review
- Ultrasound-Derived Skinfolds in Anthropometric Predictive Equations Overestimate Fat Mass: A Validation Study Using a Four-Component Model.Nutrients · 2025Article
- Accuracy of anthropometric-based predictive equations for tracking fat mass over a competitive season in elite female soccer players: a validation study.BMC sports science, medicine & rehabilitation · 2025Article
- From fat to facts: Anthropometric references and centile curves for sum of skinfolds and waist-to-hip ratio in 2,507 adults.PloS one · 2025Article
- Article
- Objective measurements of skinfold thickness with a caliper show a significant relationship to total body fat percentage in dogs.Frontiers in veterinary science · 2025Article
- Beyond somatotype categories: composition-based clustering of body types in young adults.Frontiers in physiology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeBody composition can be estimated using anthropometric-based regression models, which are population-specific and should not be used interchangeably. However, the widespread availability of predictive equations in the literature makes selecting the most valid equations challenging. This systematic review compiles anthropometric-based predictive equations for estimating body mass components, focusing on those developed specifically for athletes using multicomponent models (i.e. separation of body mass into ≥ 3 components).
methodsTwenty-nine studies published between 2000 and 2024 were identified through a systematic search of international electronic databases (PubMed and Scopus). Studies using substandard procedures or developing predictive equations for non-athletic populations were excluded.
resultsA total of 40 equations were identified from the 29 studies. Of these, 36 were applicable to males and 17 to females. Twenty-six equations were developed to estimate fat mass, 10 for fat-free mass, three for appendicular lean soft tissue, and one for skeletal muscle mass. Thirteen equations were designed for mixed athletes, while others focused on specific contexts: soccer (n = 8); handball and rugby (n = 3 each); jockeys, swimming, and Gaelic football (n = 2 each); and futsal, padel, basketball, volleyball, American football, karate, and wheelchair athletes (n = 1 each).
conclusionsThis review presented high-standards anthropometric-based predictive equations for assessing body composition in athletes and encourages the development of new equations for underrepresented sports in the current literature.
Indexed as
Identifiers
39641837What 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.