Predição Do Desempenho a Partir Das Características Antropométricas, Fisiológicas E De Força No Remo

Silva, Fábio Barreto Maia da; Brito, João Paulo; Reis, Víctor Machado

doi:10.1590/1517-869220172306165108

Cited by 3 publications

(3 citation statements)

References 27 publications

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“…In addition, among the factors associated with the production of maximum power and muscle strength in aquatic and land sports are lean mass and total body weight [33][34][35]. This fact corroborates the findings of the present study, where although the sprint time in the aquatic environment was shorter in relation to the terrestrial environment, there was a significant association between body weight and lean mass in relation to the performance in the 100 m sprint at the peak of rowers' power in water and indoor rowing (p <0.05).…”

Section: Plos Onementioning

confidence: 99%

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

et al. 2020

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Purpose To develop an equation to provide the peak power (PP) through a specific stimulus performed in an aquatic environment, as well as to correlate morphological, anthropometric and strength variables with rowing performance. Methods The sample consisted of 16 elite young rowing athletes of both sexes (15.7 ± 1.21 years). The strength of upper limbs and lower limbs was verified. To analyze the PP, a 100-m Sprint test was performed on an indoor rowing type ergometer, and after a 72-hour wash-out, the test was repeated in an aquatic environment on a vessel equipped with a global position system. Body composition was analyzed by examining bone densitometry with an X-ray source and maturation was verified by anthropometry. Results The tests for water sprint and indoor rowing showed significant reliability (ICC = 0.695; p = 0.0007). The PP aquatic showed reliability with that acquired in indoor rowing (ICC = 0.897; p<0.0001) and was related to maturation (p<0.05). The morphology, anthropometry and strength of the upper limbs were related to the sprint and peak strength in both tests (p<0.05). Conclusion The equation for the PP in aquatic environment presented by the present study is highly reliable with an indoor ergometer digital ergometer.

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Section: Plos Onementioning

confidence: 99%

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

et al. 2020

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“…12,13 It also points out some performance prediction models between categories and types of vessel. 14,15 This article aims to analyze and prepare the elite model of competitive activity to guide the theory and practice of female rowers, based on data from 42 world finalists between 2010 and 2018, the world rowing elite.…”

Section: Introductionmentioning

confidence: 99%

Olympic Rowing: Model of Competitive Activity of International Level Elite Female Athletes

Silva¹,

Brito

Gomes³

2020

Rev Bras Med Esporte

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Introduction: High-performance training should focus on motor capability determinants in competition to make physical preparation effective. Objective: To analyze and draw up an elite model based on competitive activity, to guide the theory and practice of female rowers, using data on the 42 finalists of the 2010-2018 world championships. Methods: Forty-two rowers from 2010-2018 world championships participated in the study, final A, women's single scull without weight restrictions. The statistical comparison was performed and differences between 500 meter splits analyzed for each variable were discussed. Results: Strong correlation was observed between time (r=-0.99, p<0.01), power (r=0.99, p<0.01), technical level (r=0.99, p<0.01) and speed. In the competitive model, the relationship between speed at 2000 meters and time (r=-0.96, p<0.01), speed (r=0.94, p<0.01) and power (r=0.96, p<0.01) showed a strong correlation with speed in the splits of the third 500 meters of the race. In terms of stroke rate (r=-0.56, p<0.01) and stroke length (r=0.54, p<0.01), the strongest correlation occurs at the start, in the first 100 meters of competition. Conclusion: Having performed these analyses, it is possible to confirm the need to investigate competitive activity in order to supplement the rower's fitness preparation system. Level of evidence I; Diagnostic studies-Investigating a diagnostic test.

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“…5 In view of these influences, the rowing ergometer has been used as a strategy to maintain physical fitness 5 and still allows the objective assessment of metabolic and cardiorespiratory responses, [5][6][7][8] as well as performance. 5,6,[9][10][11] Traditionally, the tests used in the rowing ergometer are the 2000 meters against the clock, the maximum incremental effort test 6 and the modified 30-second Wingate test. 11 A review article on rowing evaluation found greater reliability in the maximum test of 2000 meters on the rowing ergometer, due to the control of environmental effects.…”

Section: Introductionmentioning

confidence: 99%

Relationship Between the National Evaluation System and the Performance of Brazilian Rowers

Silva¹,

Campos²,

Soares

et al. 2020

Rev Bras Med Esporte

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Introduction: The National Rower Evaluation System [Sistema Nacional de Avaliação do Remador] (SNAR), adopted by the Brazilian Rowing Confederation, aims to establish a national ranking, and is a prerequisite to participation in National Championships and Selective Games, in its different categories, as well as for joining the Brazilian Rowing Team. Objective: This study aimed to analyze the relationship and the prediction of the SNAR results with competitors’ times in a Brazilian Rowing Championship (CBR). Methods: The investigation involved 11 female rowers (18.00 ± 0.89 years) and 16 male rowers (18.18 ± 0.91 years), participants in a CBR, in the junior category. The research was qualitative, with content analysis of the data available on the Confederation's website. Results: In the junior female category, of the ten variables studied, three showed a correlation r≥0.50; in the junior male category, nine showed a correlation r≥0.50. The multiple linear regression equation, with all the variables studied, showed R2 = 0.86 and SEE = 5.30, in the female category; and R2 = 0.90 and SEE = 3.56, in the male category. Conclusion: Based on our results, the tests indicated by SNAR can be an important source of information, offering significant support for managers, athletes and coaching staff, for use in performance diagnosis and in particular, competition prognosis. It can also be used to adapt training schedule where necessary. Level of evidence I; Diagnostic studies-Investigation of a diagnostic test.

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Predição Do Desempenho a Partir Das Características Antropométricas, Fisiológicas E De Força No Remo

Cited by 3 publications

References 27 publications

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

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

Olympic Rowing: Model of Competitive Activity of International Level Elite Female Athletes

Relationship Between the National Evaluation System and the Performance of Brazilian Rowers

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