2022
DOI: 10.3390/biology11081182
|View full text |Cite
|
Sign up to set email alerts
|

Proposal of a New Parameter for Evaluating Muscle Mass in Footballers through Bioimpedance Analysis

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. … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4

Relationship

2
2

Authors

Journals

citations
Cited by 4 publications
(4 citation statements)
references
References 27 publications
(32 reference statements)
0
4
0
Order By: Relevance
“…Male bodybuilders were statistically different compared with the general male population [ 19 ] and athletic reference [ 20 ]. Specifically, they fell more to the left than the general population (T 2 < 168.8; D = 2.14; p < 0.001) and to the left and down than the athletic population (T 2 < 17.7; D = 0.95; p < 0.001) ( Figure 1 b) and their specific the 50%, 75%, and 95% tolerance ellipses are represented in Figure 1 c. On the other hand, female bodybuilders compared with the general female population [ 18 ] and athletic reference [ 20 ] fell to the left of the general population (T 2 < 67.3; D = 1.64; p < 0.001) but did not differ from the athletic population (T 2 < 1.9; D = 0.27; p < 0.40) ( Figure 1 d,e). The specific 50%, 75%, and 95% tolerance ellipses of female natural bodybuilders are represented in Figure 1 f. The LMI value of male bodybuilders is 3.7 ± 0.6, while for female bodybuilders, it is 2.3 ± 0.4.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Male bodybuilders were statistically different compared with the general male population [ 19 ] and athletic reference [ 20 ]. Specifically, they fell more to the left than the general population (T 2 < 168.8; D = 2.14; p < 0.001) and to the left and down than the athletic population (T 2 < 17.7; D = 0.95; p < 0.001) ( Figure 1 b) and their specific the 50%, 75%, and 95% tolerance ellipses are represented in Figure 1 c. On the other hand, female bodybuilders compared with the general female population [ 18 ] and athletic reference [ 20 ] fell to the left of the general population (T 2 < 67.3; D = 1.64; p < 0.001) but did not differ from the athletic population (T 2 < 1.9; D = 0.27; p < 0.40) ( Figure 1 d,e). The specific 50%, 75%, and 95% tolerance ellipses of female natural bodybuilders are represented in Figure 1 f. The LMI value of male bodybuilders is 3.7 ± 0.6, while for female bodybuilders, it is 2.3 ± 0.4.…”
Section: Resultsmentioning
confidence: 99%
“…In this context, the evaluation of muscle mass using the Levi Muscle Index (LMI), a new parameter based on raw bioelectrical parameters, is also useful. In detail, the male bodybuilders in this study show higher values than male elite soccer players (3.7 ± 0.6 vs. 3.08 ± 0.35, respectively) [ 18 ].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…For example, Matias et al [33] developed a bioimpedance-based model for fat-free mass prediction based on the four-compartment model in a sample of national level athletes that can be used to overcome problems arising when measuring adult elite athletes. Similar considerations can be raised for other compartments such as muscle mass [34] and total body water and its distribution into the intra-and extra-cellular compartment [35]. From this point of view, a solution is to adopt specific equations for the investigated population [11].…”
Section: Discussionmentioning
confidence: 99%