Proposal of a Normative Table for Classification of Body Fat Percentage in Brazilian Jiu-Jitsu Athletes

Cerqueira, Beatriz de Souza; Cerqueira, Mateus Baú; Costa-Ferreira, Willian; de-Oliveira, Fabiano Mendes; Andreato, Leonardo Vidal; dos-Santos-Junior, Rubens Batista; Valdés-Badilla, Pablo; Branco, Bráulio Henrique Magnani

doi:10.4067/s0717-95022022000100057

Cited by 4 publications

(8 citation statements)

References 18 publications

(24 reference statements)

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“…Different sports, as well as different sports disciplines, require athletes to be selected, trained and adaptedphysically, technically, tactically, psychologically and anthropomorphologically in accordance with the performance requirements of the particular sport, discipline or playing position (Franchini et al, 2011;Bankovic et al, 2018;Saraykin et al, 2018;Alarcón-Jimenez et al, 2020;Gardasevic & Bjelica, 2020;Cerqueira et al, 2022;Semenov et al, 2022). Achieving top sports performance at today's level of development of sports results requires more and more standardization in all processes of training, but also the development of a unique methodology for individualizing the control of training and specific adaptation in athletes (Morin & Samozino, 2016;Dopsaj et al 2021a;Surina-Maryasheva et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

“…One of the most important adaptations in sports efforts in elite athletes is closely related to morphological adaptation (Ackland et al, 2012;Saraykin et al, 2018;Surina-Maryasheva et al, 2022). Each sport has its own specifics, which, among other things, relate to the morphological profile of the athlete, as in relation to the discipline, but also in relation to the position in the game or competitive level (Bankovic et al, 2018;Gardasevic & Bjelica, 2020;Dopsaj et al, 2021a;Cerqueira et al, 2022). This means that the process of individualizing the required standards in relation to the applied technology needed to control the level of adaptation, even in relation to morphological characteristics, is necessary for more precise and efficient management of the sports training process in relation to all its aspects.…”

Section: Introductionmentioning

confidence: 99%

“…It was explained that excessive body fat could negatively impact physical and sports performance independently in the type of sports (Franchini et al, 2011;Dopsaj et al, 2021a). Also, different sports, as well as sports disciplines, require a different anthropomophrological profile, as well as a different profile of body composition, that is, an optimal body profile, in order to achieve an appropriate body for appropriate competitive success (Saraykin et al, 2018;Alarcón-Jimenez et al, 2020;Dopsaj et al, 2021a;Akdogan et al, 2022;Cerqueira et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

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Reference Values and Sensitivity for Different Body Fat Variables Measured by Bioimpedance Method in Female Athletes in Individual Sports: Discriminative and Comparative Study

Dopsaj¹,

Šiljeg²,

Milić³

2023

Int. J. Morphol.

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Athletes differ among themselves and one of the main differences is observed in relation to body shape and composition. Achieving top sports performance requires more standardization in the processes of training and development of a unique methodology for individualizing the control specific adaptation of athletes. The aim of this study is to establish reference data for the most sensitive variables to define the amount and structure of body fat in female athletes in individual sports. The sample included 895 females, divided in: a control group (Cont) of young females (N = 688); International (N = 113), and National level female athletes (N = 94) in 13 individual sports. Four variables described the structureof of body fat: Percentage of body fat (PBF), Body Fat Mass Index (BFMI), Protein Fat Index (PFI) and Index of Body Composition (IBC). Results showed that considering the control group, female athletes have all examined Body Fat variables statistically significantly different (BFMI and PBF are lower, p = 0.011 and p = 0.000, while PFI and IBC are higher, p = 0.000, respectively). Female athletes are also statistically significantly different in relation to the level of competition (p = 0.000), and the investigated variables are responsible for 17.7 % of the variability of the difference between the groups. Competitively more successful female athletes have higher IBC (lower percentage of fat per overall body volume, p = 0.013), as well as, a statistically significantly higher protein mass in relation to body fat mass (PFI, p = 0.018). The most sensitive variables for defining body fat differences between the examined individual sports were IBC, with an influence of 37.9 %, then PFI (32.4 %), then PBF (22.8 %), and finally BFMI, with an influence of 11.4 % on the differences. Based on the results of this study, IBC and PFI are variables that have shown useful scientific-methodological potential for research in the future.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Reference Values and Sensitivity for Different Body Fat Variables Measured by Bioimpedance Method in Female Athletes in Individual Sports: Discriminative and Comparative Study

Dopsaj¹,

Šiljeg²,

Milić³

2023

Int. J. Morphol.

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“…The available reference data regarding the components of the somatotype are also ambiguous and have not received sufficient recognition. Thus, in the work of Cerqueira et al [36], based on the bioimpedance analysis of the body composition of Brazilian jiu-jitsu athletes, centile tables of adipose tissue content were developed. Using these tables, it can be concluded that experienced kickboxers have an average level of fat, and beginners have a high level.…”

Section: Discussionmentioning

confidence: 99%

Comparative analysis of physical development and body composition of kickboxing athletes with different training experience

Podrigalo,

Ke,

J. Cynarski

et al. 2023

СНСВ

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Background and Study Aim. Comparative analysis of physical development and body composition using the index method in kickboxing athletes with different training experience. Material and Methods. Participants: 30 kickboxing athletes, group 1 – 15 people, (13.20±0.60) years old, training experience (0.71±0.13) years. Group 2 - 15 people, (15.20±1.14) years old, training experience (6.80±1.16) years. 18 anthropometric indicators were determined. 21 indices were calculated based on them. The median (Me), 1 (25%) and 3 (75%) quartiles were determined. The somatotype was determined by the bioimpedance method using the OMRON BF-511 body composition monitor (Japan). The significance of differences in the groups was assessed by the nonparametric Rosenbaum test (Q). Results. A significant excess of indicators of the 2nd group in terms of Erisman's index (Q=10), Pignet's index (Q=7), Livy's index (Q=12), Isakson's body surface area (Q=11) and relative body surface (Q=21) was established , relative length of arm (Q=11) and leg (Q=14), index of arm circumference (Q=15) and leg (Q=6), shoulder index (Q=10), indices of massiveness of segments of the forearm (Q=11) and shoulder (Q=30), conditional moments of force of the forearm (Q=30), shoulder (Q=30), lower leg (Q=30) and thigh (Q=30). A trend towards a decrease in fat content and an increase in muscle tissue in more trained athletes has been confirmed. Conclusions. A comparative analysis of the physical development and body composition of kickboxing athletes with different training experience confirmed certain differences. More trained kickboxers had better indicators of the shoulder index, which reflects the posture of the athletes. The Erisman index illustrated the increase in the muscles of the torso under the influence of training loads. The increase in body surface area and relative body surface reflects the greater adaptive potential of more trained kickboxers. The large relative length of the arms and legs, the indices of the ratio of the segments of the limbs, the indices of massiveness and the conditional moments of the segments' strength reflect the best technical capabilities of more trained athletes, the ability to blow at a greater distance and with greater force. The adequacy of using the method of indices as more informative than anthropometric indicators is shown. It is proposed to use these indices in monitoring the state of kickboxing athletes.

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“…Furthermore, there are several reasons for the emergence of differences in fat percentages resulting from the measurements made using different technologies (BIA vs. anthropometry and BIA vs. DXA). In both cases, fat percentages measured using the BIA method are higher than the results obtained through anthropometry [8,[20][21][22][23][24][25] or DXA [26][27][28][29]; however, previous normative tables for athletes' body fat percentages have been proposed according to the outcomes of DXA or assessments of skinfold thickness (Table A1 (Appendix A)) [9,30].…”

Section: Introductionmentioning

confidence: 99%

Establishing Benchmark Percentiles for the Classification of Body Fat Percentage of Professional Male Athletes Competing in Combat Sports through Bioimpedanciometry

Baranauskas,

Kupčiūnaitė,

Stukas

2023

Applied Sciences

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Body composition as a meaningful factor can result in physiological responses in both the physical body and general health status. Nevertheless, the schemes for establishing cut-off points for identifying the classifications of the body fat percentage of athletes competing in combat sports still include gaps. The aim of this study was, by using bioimpedanciometry, to calculate the percentiles for the classification of body fat percentages in Lithuanian professional male athletes (n = 52) competing in combat sports with weight classes. A total of 52 Lithuanian professional male athletes competing in combat sports with weight classes were evaluated using a multi-frequency bioelectrical impedance analysis method with frequencies ranging from 1 kHz to 1000 kHz. Percentiles P3, P10, P25, P50, P75, P90, and P97 were used to determine the classification. As a consequence, the following classification categories were assigned: 6.6–7.8% (extremely low); 7.9–10.9% (very low); 11.0–14.7% (below normal); 14.8–18.8% (normal); 18.9–21.5% (above normal); 21.6–29.3% (very excessive); and ≥29.4% (extremely excessive). The assessment of body composition in combat sports athletes identified an inverse association between higher body fat levels and a decrease in the muscle-to-fat ratio (β –1.3, 95% confidence interval (CI): –1.5; –1.0, p < 0.001). The relationship between lower body fat percentage and lighter weight categories in which combat sports athletes from different combat sports were competing has been identified (β 0.3%, 95% CI: 0.2; 0.3, p < 0.0001). The established cut-off points may assist sports medicine professionals and sports dietitians in monitoring the adiposity of combat sports athletes.

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Proposal of a Normative Table for Classification of Body Fat Percentage in Brazilian Jiu-Jitsu Athletes

Cited by 4 publications

References 18 publications

Reference Values and Sensitivity for Different Body Fat Variables Measured by Bioimpedance Method in Female Athletes in Individual Sports: Discriminative and Comparative Study

Reference Values and Sensitivity for Different Body Fat Variables Measured by Bioimpedance Method in Female Athletes in Individual Sports: Discriminative and Comparative Study

Comparative analysis of physical development and body composition of kickboxing athletes with different training experience

Establishing Benchmark Percentiles for the Classification of Body Fat Percentage of Professional Male Athletes Competing in Combat Sports through Bioimpedanciometry

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