ArticleBiology2022
Proposal of a New Parameter for Evaluating Muscle Mass in Footballers through Bioimpedance Analysis.
Article in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Non-Pharmacological Management of Charcot-Marie-Tooth Disease: A Case Report.Muscles (Basel, Switzerland) · 2026Article
- One-year changes in body composition and phase angle during feminizing gender-affirming hormone therapy: a longitudinal and comparative study.Frontiers in endocrinology · 2026Article
- Management of lipedema with a biphasic ketogenic/low-carbohydrate diet: a case report.Frontiers in nutrition · 2026Article
- Bioelectrical Impedance Analysis in Professional and Semi-Professional Football: A Scoping Review.Sports (Basel, Switzerland) · 2025Review
- Application of Levi's Muscle Index in frailty assessment: comparison of bioimpedance measures among older adults.Frontiers in medicine · 2025Article
- Article
- Morphological Characteristics of Elite International Soccer Referees: Somatotype and Bioelectrical Impedance Vector Analysis.Journal of functional morphology and kinesiology · 2023Article
- Bioimpedance Patterns and Bioelectrical Impedance Vector Analysis (BIVA) of Body Builders.Nutrients · 2023Article
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4 authors.
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Abstract
The evaluation of muscle mass in athletes correlates with sports performance directly. Bioimpedance vector analysis is a growing method of assessing body composition in athletes because it is independent of predictive formulas containing variables such as body weight, ethnicity, age, and sex. The study aims to propose a new parameter (Levi’s Muscle Index, LMI) that evaluates muscle mass through raw bioelectrical data. A total of 664 male footballers underwent bioimpedance assessment during the regular season. LMI was correlated with body cell mass (BCM) and phase angle (PA) to establish efficacy. The footballers were 24.5 ± 5.8 years old, 180.7 ± 5.9 cm tall and weighed 76.3 ± 7.1 kg. The relationships were: LMI-BMI: r = 0.908, r2 = 0.824, p < 0.001; LMI-PA: r = 0.704, r2 = 0.495, p = 0.009 and PA-BCM: r = 0.491, r2 = 0.241, p < 0.001. The results obtained confirm that LMI could be considered a new parameter that provides reliable information to evaluate the muscle mass of athletes. Furthermore, the higher LMI-BCM relationship than PA-BCM demonstrates specificity for muscle mass evaluation in athletes regardless of body weight, ethnicity, age, and sex.
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