Equation for analyzing the peak power in aquatic environment: An alternative for olympic rowing athletes

Almeida-Neto, Paulo Francisco de; Silva, Luiz Felipe da; Matos, Dihogo Gama de; Jeffreys, Ian; Cesário, Tatianny de Macêdo; Neto, Rui Barboza; Barbosa, Wagner de Almeida; Aidar, Felipe J.; Dantas, Paulo Moreira Silva; Cabral, Breno Guilherme de Araújo Tinôco

doi:10.1371/journal.pone.0243157

Cited by 9 publications

(11 citation statements)

References 32 publications

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“…Olympic rowing is a typical strength/power endurance sport in which physical fitness, strength, rowing techniques, and tactics influence rower success. The anthropometric length or breadth of the human body is almost entirely genetically decided and can hardly be altered within the range of training periodization ( Almeida-Neto et al, 2020 ). Numerous studies found that 2,000-m rowing ergometer performance was predicted by body mass, VO 2 max ( Almeida-Neto et al, 2020 ), age, height, weight, and body fat percentage ( Majumdar et al, 2017 ).…”

Section: Discussionmentioning

confidence: 99%

ACE and ACTN3 Gene Polymorphisms and Genetic Traits of Rowing Athletes in the Northern Han Chinese Population

Wei

2021

Front. Genet.

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This investigation aimed to explore the effects of ACE I/D and ACTN3 R577X gene polymorphisms on specific quantitative variables, including height, weight, arm span, biacromial breadth, forced vital capacity (FVC), FVC/weight, maximal oxygen uptake (VO2max), prone bench pull (PBP), loaded barbell squat (LBS), and 3,000-m run, in 243 Chinese rowing athletes. The ACE and ACTN3 genotypes were obtained for each athlete via polymerase chain reaction on saliva samples, and the genotype frequency was analyzed. The ACE genotype frequency of rowing athletes were 45.8% II, 42.2% ID, and 12% DD for males and 33.6% II, 48% ID, and 18.4% DD for females. There were significant differences in weight in male athletes, PBP in female athletes, and ACE genotypes. A linear regression analysis using PBP and LBS as different dependent variables and ACE genotypes as independent variables based on the ACE I allele additive genetic effect showed a statistical significance in female athletes (p < 0.05). There was a significant difference in the distribution of the three genotypes among male athletes (36.7% XX, 38.5% RX, and 24.8% RR, χ2 = 5.191, df = 2, p = 0.022 < 0.05). There were no significant differences in the distribution of the three genotypes among female athletes (23.8% XX, 47.8% RX, 28.4% RR, χ2 = 0.24, df = 2, p = 0.619 > 0.05). The ACTN3 gene polymorphism of male rowing athletes was dominated by the ACTN3 577X allele. There were significant differences in the χ2 test between groups of male athletes. The ACTN3 R577 allele was dominant in female athletes. There were significant differences between PBP and FVC/body weight and ACTN3 genotypes in male athletes by ANOVA, respectively (p < 0.05). A linear regression analysis using FVC and FVC/body weight as dependent variables and ACTN3 genotypes as independent variables based on the ACTN3 577X allele recessive genetic effect showed statistical significance in male athletes (p < 0.05). These results suggested that ACE and ACTN3 gene polymorphisms may be used as biomarkers of genetic traits in Chinese rowing athletes.

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Section: Discussionmentioning

confidence: 99%

ACE and ACTN3 Gene Polymorphisms and Genetic Traits of Rowing Athletes in the Northern Han Chinese Population

Wei

2021

Front. Genet.

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“…It was previously verified by Durkalec-Michalski et al (2019) that lean mass is closely related to the level of aerobic and anaerobic capacity of rowers. Likewise, it was pointed out that young elite athletes of both sexes ( Almeida-Neto et al, 2020b ) and non-elite males ( Almeida-Neto et al, 2020c ) with biological maturation in advanced stages point to greater lean body mass levels compared to their delayed maturation peers. Consequently, pointing to higher androgenic hormone levels and better efficiency of glycolytic metabolism, thus generating higher levels of muscle power ( Rowland, 2008 ; Almeida-Neto et al, 2020c ).…”

Section: Discussionmentioning

confidence: 99%

Influence of Advancing Biological Maturation on Aerobic and Anaerobic Power and on Sport Performance of Junior Rowers: A Longitudinal Study

et al. 2022

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Background: Researches are linking Biological Maturation (BM) with the performance of adolescent rowers from both genders. Despite this, there is still not enough information about the influence of BM advancement correlating to sports, aerobic and anaerobic performance in adolescent athletes at the sport modality rowing.Objective: Investigate the influence of Biological Maturation on sports performance and aerobic and anaerobic power in adolescent rowing athletes.Methods: A longitudinal observational study, developed over 3 years, with a sample of 52 adolescents, rowing athletes, of both genders (61% male and 39% female) mean age of 16.0 ± 0.5 years old at the start and 18.4 ± 0.5 years old at the end of the study. Analysis was performed once a year. BM was evaluated through maturational groups generated from Age Peak Height Velocity; maximum aerobic power [VO2Max (ml/kg/min)] and mean anaerobic power (Watts) through the ergometer test (indoor rowing); peak anaerobic power (Watts) through a mathematical model derived from competition time, to determine sports performance analyzed the race time during world championship tryouts.Results: The advancement of BM influenced the reduction of the test time and increase of the mean anaerobic power (Watts) in indoor rowing (η2p > 0.36, p < 0.05), as well as an improvement in performance in sports competition (η2p > 0.35, p < 0.05). However, the advancement of BM did not affect VO2Max (ml/kg/min) in young elite rowing athletes of both sexes (p > 0.05).Conclusion: Advances in biological maturation have been shown to influence the anaerobic and sports performance (reduction of the execution time in 2,000-m) of adolescent rowing athletes of both genders.

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“…To determine a priori the minimum sample size to develop the mathematical model, we used the effect size of 0.915, referring to the linear regression result (mathematical model for peak power X peak power in indoor rowing) found by Almeida-Neto et al [ 22 ]. We used the G*Power ® software (Version 3.0; Berlin, Germany) in the configuration “T family statistics for regressions” and an α = 0.05 and a β = 0.80 considering a single variable to perform the prediction.…”

Section: Methodsmentioning

confidence: 99%

Performance Prediction Equation for 2000 m Youth Indoor Rowing Using a 100 m Maximal Test

Silva

Almeida-Neto

Matos

et al. 2021

Biology

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Background: The exhaustive series of tests undergone by young athletes of Olympic rowing prior to important competitions imply loads of physical stress that can ultimately impact on mood and motivation, with negative consequences for their training and performance. Thus, it is necessary to develop a tool that uses only the performance of short distances but is highly predictive, offering a time expectancy with high reliability. Such a test must use variables that are easy to collect with high practical applicability in the daily routine of coaches. Objective: The objective of the present study was to develop a mathematical model capable of predicting 2000 m rowing performance from a maximum effort 100 m indoor rowing ergometer (IRE) test in young rowers. Methods: The sample consisted of 12 male rowing athletes in the junior category (15.9 ± 1.0 years). A 100 m time trial was performed on the IRE, followed by a 2000 m time trial 24-h later. Results: The 2000 m mathematical model to predict performance in minutes based on the maximum 100 m test demonstrated a high correlation (r = 0.734; p = 0.006), strong reliability index (ICC: 0.978; IC95%: [0.960; 0.980]; p = 0.001) and was within usable agreement limits (Bland -Altman Agreement: −0.60 to 0.60; 95% CI [−0.65; 0.67]). Conclusion: The mathematical model developed to predict 2000 m performance is effective and has a statistically significant reliability index while being easy to implement with low cost.

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Equation for analyzing the peak power in aquatic environment: An alternative for olympic rowing athletes

Cited by 9 publications

References 32 publications

ACE and ACTN3 Gene Polymorphisms and Genetic Traits of Rowing Athletes in the Northern Han Chinese Population

ACE and ACTN3 Gene Polymorphisms and Genetic Traits of Rowing Athletes in the Northern Han Chinese Population

Influence of Advancing Biological Maturation on Aerobic and Anaerobic Power and on Sport Performance of Junior Rowers: A Longitudinal Study

Performance Prediction Equation for 2000 m Youth Indoor Rowing Using a 100 m Maximal Test

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