Basal metabolic rate for high-performance female karate athletes

Marques, Luciana Rossi

doi:10.20960/nh.03390

Cited by 5 publications

(3 citation statements)

References 16 publications

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“…Previous instructions were given to the athletes by phone call concerning the preparation for the test; then, electrodes were attached as follows: right foot, distal electrode on the base of the middle toe and proximal electrode between the medial and lateral malleoli, and right hand, distal electrode on the base of the middle finger and proximal electrode coinciding with the styloid process. The distance between electrodes was kept over 5 cm and patients were in dorsal decubitus with their right foot and hand slightly separated from their trunk [1,9]. From such evaluation, the following bioelectrical variables were obtained: resistance (R: Ω), reactance (Xc: Ω) and phase angle (PhA: degrees); the latter was calculated by the equation arctan [Xc (reactance)/R (resistance)] x 180º/π [7].…”

Section: Data Collection and Variablesmentioning

confidence: 99%

“…Karate, or "empty hand way", is modern combat sport based on Olympic competition standards [1]. For the Olympic competition, there are two modalities: Kumite, a fight between two opponents that requires programing of rapid responses suitable to the defense and/or attack process, and Kata, a sequence of pre-determined movements in a fight against imaginary opponents [2].…”

Section: Introductionmentioning

confidence: 99%

“…For the Olympic competition, there are two modalities: Kumite, a fight between two opponents that requires programing of rapid responses suitable to the defense and/or attack process, and Kata, a sequence of pre-determined movements in a fight against imaginary opponents [2]. Olympic combat sports (OCS) include boxing, judo, taekwondo and wrestling as sport modalities and represent 20% -25% of the total medals competed for in the Olympics [1]; such estimation must increase with the inclusion of karate in the Games in Japan.…”

Section: Introductionmentioning

confidence: 99%

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Bioimpedance to assess the body composition of high-performance karate athletes: applications, advantages and perspectives

Rossi

2021

Journal of Electrical Bioimpedance

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Karate, a millennial martial art, was recently inserted among traditional Olympic combat sports for the Olympic Games in Japan. The aim of the present study is to determine, through bioimpedance analysis, the body composition of high-performance athletes participating in the São Paulo Olympic Karate Project. Participants were 22 athletes of both sexes, average age of 23.6 (6.0) years old, body mass of 66.6 (13.5) kg and fat percentage of 16.6 (5.5)%. Bioimpedance test indicated significant differences between sexes related to sexual dysmorphia, which had an impact on bioelectrical variables. Through comparative evaluation between male and female athletes, this study contributes to body composition analysis, indicating that, in the future, related bioimpedance tests should be used beyond their classical application, including phase angle, muscle function and other attributes.

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Section: Data Collection and Variablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Bioimpedance to assess the body composition of high-performance karate athletes: applications, advantages and perspectives

Rossi

2021

Journal of Electrical Bioimpedance

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Accuracy of Resting Metabolic Rate Prediction Equations in Athletes: A Systematic Review with Meta-analysis

O’Neill,

Corish,

Horner

2023

Sports Med

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Background Resting metabolic rate (RMR) prediction equations are often used to calculate RMR in athletes; however, their accuracy and precision can vary greatly. Objective The aim of this systematic review and meta-analysis was to determine which RMR prediction equations are (i) most accurate (average predicted values closest to measured values) and (ii) most precise (number of individuals within 10% of measured value). Data Sources A systematic search of PubMed, CINAHL, SPORTDiscus, Embase, and Web of Science up to November 2021 was conducted. Eligibility Criteria Randomised controlled trials, cross-sectional observational studies, case studies or any other study wherein RMR, measured by indirect calorimetry, was compared with RMR predicted via prediction equations in adult athletes were included. Analysis A narrative synthesis and random-effects meta-analysis (where possible) was conducted. To explore heterogeneity and factors influencing accuracy, subgroup analysis was conducted based on sex, body composition measurement method, athlete characteristics (athlete status, energy availability, body weight), and RMR measurement characteristics (adherence to best practice guidelines, test preparation and prior physical activity). Results Twenty-nine studies (mixed sports/disciplines n = 8, endurance n = 5, recreational exercisers n = 5, rugby n = 3, other n = 8), with a total of 1430 participants (822 F, 608 M) and 100 different RMR prediction equations were included. Eleven equations satisfied criteria for meta-analysis for accuracy. Effect sizes for accuracy ranged from 0.04 to − 1.49. Predicted RMR values did not differ significantly from measured values for five equations (Cunningham (1980), Harris-Benedict (1918), Cunningham (1991), De Lorenzo, Ten-Haaf), whereas all others significantly underestimated or overestimated RMR (p < 0.05) (Mifflin-St. Jeor, Owen, FAO/WHO/UNU, Nelson, Koehler). Of the five equations, large heterogeneity was observed for all (p < 0.05, I2 range: 80–93%) except the Ten-Haaf (p = 0.48, I2 = 0%). Significant differences between subgroups were observed for some but not all equations for sex, athlete status, fasting status prior to RMR testing, and RMR measurement methodology. Nine equations satisfied criteria for meta-analysis for precision. Of the nine equations, the Ten-Haaf was found to be the most precise, predicting 80.2% of participants to be within ± 10% of measured values with all others ranging from 40.7 to 63.7%. Conclusion Many RMR prediction equations have been used in athletes, which can differ widely in accuracy and precision. While no single equation is guaranteed to be superior, the Ten-Haaf (age, weight, height) equation appears to be the most accurate and precise in most situations. Some equations are documented as consistently underperforming and should be avoided. Choosing a prediction equation based on a population of similar characteristics (physical characteristics, sex, sport, athlete status) is preferable. Caution is warranted when interpreting RMR ratio of measured to predicted values as a proxy of energy availability from a single measurement. PROSPERO Registration CRD42020218212.

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Anthropometric prediction of DXA-measured percentage of fat mass in male karate athletes

Cavedon

Sacristani

Sandri

et al. 2023

J Sports Med Phys Fitness

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Basal metabolic rate for high-performance female karate athletes

Cited by 5 publications

References 16 publications

Bioimpedance to assess the body composition of high-performance karate athletes: applications, advantages and perspectives

Bioimpedance to assess the body composition of high-performance karate athletes: applications, advantages and perspectives

Accuracy of Resting Metabolic Rate Prediction Equations in Athletes: A Systematic Review with Meta-analysis

Anthropometric prediction of DXA-measured percentage of fat mass in male karate athletes

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