ArticleJournal of translational medicine2023
Athletic bioimpedance-based equations underestimate fat free mass components in male elite soccer players: development and validation of new soccer-specific predictive models.
Article in Journal of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06974006 (Integrated Monitoring for Independent Living in Rural Settings), which is not on this map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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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.
Integrated Monitoring for Independent Living in Rural Settings
Who cites it
7 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
- Multi-Frequency Bioimpedance Analysis in Practice: A Review of Validated Prediction Equations for Key Body Composition Parameters.Physiological research · 2025Review
- Bioelectrical Impedance Analysis in Professional and Semi-Professional Football: A Scoping Review.Sports (Basel, Switzerland) · 2025Review
- Impact of a Four-Week NCAA-Compliant Pre-Season Strength and Conditioning Program on Body Composition in NCAA Division II Women's Basketball.Journal of functional morphology and kinesiology · 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
- 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
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBioelectrical impedance analysis (BIA) is a rapid and user-friendly technique for assessing body composition in sports. Currently, no sport-specific predictive equations are available, and the utilization of generalized formulas can introduce systematic bias. The objectives of this study were as follows: (i) to develop and validate new predictive models for estimating fat-free mass (FFM) components in male elite soccer players; (ii) to evaluate the accuracy of existing predictive equations.
methodsA total of 102 male elite soccer players (mean age 24.7 ± 5.7 years), participating in the Italian first league, underwent assessments during the first half of the in-season period and were randomly divided into development and validation groups. Bioelectrical resistance (R) and reactance (Xc), representing the bioimpedance components, were measured using a foot-to-hand BIA device at a single frequency of 50 kHz. Dual-energy X-ray absorptiometry was employed to acquire reference data for FFM, lean soft tissue (LST), and appendicular lean soft tissue (ALST). The validation of the newly developed predictive equations was conducted through regression analysis, Bland-Altman tests, and the area under the curves (AUC) of regression receiver operating characteristic (RROC) curves.
resultsDeveloped models were: FFM = - 7.729 + (body mass × 0.686) + (stature
conclusionsThe utilization of generalized predictive equations leads to an underestimation of FFM and ALST in elite soccer players. The newly developed soccer-specific formulas enable valid estimations of body composition while preserving the portability of a field-based method.
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