ArticleNutrients2023
Methods over Materials: The Need for Sport-Specific Equations to Accurately Predict Fat Mass Using Bioimpedance Analysis or Anthropometry.
Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review.Journal of translational medicine · 2024Pooled it
- Trial
- Greater muscle electrode distance and fat mass affect motor units identification from high-density surface EMG in the vastus lateralis muscle.Scientific reports · 2025Article
- Exploratory approach to speculate on body composition models for elite teenage basketball players.Scientific reports · 2025Article
- ASFmeter: A Portable A-Mode Ultrasound Device for Abdominal Subcutaneous Fat Thickness Measurement.Bioengineering (Basel, Switzerland) · 2025Article
- Article
- 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
- Anthropometric and Body Composition Changes during Pre-Season of Spanish Professional Female Soccer Players According to Playing Position.Nutrients · 2024Article
- ISAK-Based Anthropometric Standards for Elite Male and Female Soccer Players.Sports (Basel, Switzerland) · 2024Article
- Body Composition Changes in Male and Female Elite Soccer Players: Effects of a Nutritional Program Led by a Sport Nutritionist.Nutrients · 2024Article
- Localized hamstring bioimpedance in marathon runners is related to muscle high-energy enzyme serum levels and predicts race time.Frontiers in physiology · 2024Article
- Athletic bioimpedance-based equations underestimate fat free mass components in male elite soccer players: development and validation of new soccer-specific predictive models.Journal of translational medicine · 2023Article
- The role of body composition on cardio-respiratory fitness in futsal competitive athletes.European journal of translational myology · 2023Article
- Article
- Article
- Effects of Nutrition Interventions on Athletic Performance in Soccer Players: A Systematic Review.Life (Basel, Switzerland) · 2023Review
- Comparisons and associations among anthropometric indices of first and second division and assistant soccer referees.Frontiers in psychology · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bioelectrical impedance analysis (BIA) and anthropometry are considered alternatives to well-established reference techniques for assessing body composition. In team sports, the percentage of fat mass (FM%) is one of the most informative parameters, and a wide range of predictive equations allow for its estimation through both BIA and anthropometry. Although it is not clear which of these two techniques is more accurate for estimating FM%, the choice of the predictive equation could be a determining factor. The present study aimed to examine the validity of BIA and anthropometry in estimating FM% with different predictive equations, using dual X-ray absorptiometry (DXA) as a reference, in a group of futsal players. A total of 67 high-level male futsal players (age 23.7 ± 5.4 years) underwent BIA, anthropometric measurements, and DXA scanning. Four generalized, four athletic, and two sport-specific predictive equations were used for estimating FM% from raw bioelectric and anthropometric parameters. DXA-derived FM% was used as a reference. BIA-based generalized equations overestimated FM% (ranging from 1.13 to 2.69%, p < 0.05), whereas anthropometry-based generalized equations underestimated FM% in the futsal players (ranging from −1.72 to −2.04%, p < 0.05). Compared to DXA, no mean bias (p > 0.05) was observed using the athletic and sport-specific equations. Sport-specific equations allowed for more accurate and precise FM% estimations than did athletic predictive equations, with no trend (ranging from r = −0.217 to 0.235, p > 0.05). Regardless of the instrument, the choice of the equation determines the validity in FM% prediction. In conclusion, BIA and anthropometry can be used interchangeably, allowing for valid FM% estimations, provided that athletic and sport-specific equations are applied.
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