Effects of Training on Physiological Correlates of Rowing Ergometry Performance

Womack, Christopher J.; Davis, Shala E.; Wood, Claire M.; Sauer, Kevin; Álvarez, Joaquín María Rivera; Weltman, Arthur; Gaesser, Glenn A.

doi:10.1519/00124278-199611000-00005

Cited by 4 publications

(9 citation statements)

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“…A study investigating the effects of various HIT methods in highly trained cyclists 22 reported 40-km time-trial improvements of between 4.4% to 5.8% following 4 weeks of similar HIT protocols. For rowers, previous research has indicated that TT performance enhancement is associated with improvements in Vo 2peak values, peak power output, and power achieved at 4 mmol·L −1 lactate threshold, 23 all of which improved in response to HIT in the current study.…”

Section: Discussionsupporting

confidence: 65%

The Effects of High-Intensity Interval Training in Well-Trained Rowers

Driller¹,

Fell²,

Gregory³

et al. 2009

International Journal of Sports Physiology and Performance

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Purpose: Several recent studies have reported substantial performance and physiological gains in well-trained endurance runners, swimmers, and cyclists following a period of high-intensity interval training (HIT). The aim of the current study was to compare traditional rowing training (CT) to HIT in well-trained rowers. Methods: Subjects included 5 male and 5 female rowers (mean ± SD; age = 19 ± 2 y; height = 176 ± 8 cm; mass = 73.7 ± 9.8 kg; Vo 2peak = 4.37 ± 1.08 L·min −1 ). Baseline testing included a 2000-m time trial and a maximal exercise test to determine Vo 2peak , 4-min all-out power, and 4 mmol·L −1 blood lactate threshold. Following baseline testing, rowers were randomly allocated to HIT or CT, which they performed seven times over a 4-wk period. The HIT involved 8  2.5-min intervals at 90% of the velocity maintained at Vo 2peak , with individual recoveries returning to 70% of the subjects' maximal heart rate between intervals. The CT intensity consisted of workloads corresponding to 2 and 3 mmol·L −1 blood lactate concentrations. On completion of HIT or CT, rowers repeated the testing performed at baseline and were then allocated to the alternative training program and completed a crossover trial. Results: HIT produced greater improvements in 2000-m time (1.9 ± 0.9%; mean ± SD), 2000-m power (5.8 ± 3.0%), and relative Vo 2peak (7.0 ± 6.4%) than CT. Conclusion: Four weeks of HIT improves 2000-m time-trial performance and relative Vo 2peak in competitive rowers, more than a traditional approach.

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Section: Discussionsupporting

confidence: 65%

The Effects of High-Intensity Interval Training in Well-Trained Rowers

Driller¹,

Fell²,

Gregory³

et al. 2009

International Journal of Sports Physiology and Performance

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“…Stage 2 of the V O 2 max test was where most athletes elicited close to the 4 mmol·L Ϫ1 blood lactate level (3.3 Ϯ 1.0 mmol·L Ϫ1 ). Womack et al (19) showed that velocity and V O 2 at 4 mmol·L Ϫ1 and peak velocity can predict 2K rowing ergometer time in males. In addition, improvements in 2K time after training were highly correlated to changes in peak velocity and velocity at 4 mmol·L Ϫ1 .…”

Section: Discussionmentioning

confidence: 99%

“…In addition to presenting descriptive data regarding physiological characteristics of collegiate women rowers, we attempted to determine if physiological laboratory measures can predict their boat assignment. We hypothesized that V O 2 max and submaximal blood lactate would be the best predictors of boat assignment because both have been shown to be related to performance in men rowers (17,19).…”

Section: Experimental Approach To the Problemmentioning

confidence: 99%

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Physiological Profiles and Performance Predictors of a Womenʼs NCAA Rowing Team

Perkins

Pivarnik

2003

Journal of Strength and Conditioning Research

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We described the physiological profiles of rowers (N ϭ 16; age ϭ 20.1 Ϯ 1.4 years, weight ϭ 78.6 Ϯ 9.5 kg, height ϭ 177.5 Ϯ 3.1 cm) of the top 2 varsity boats on an NCAA women's crew and determined whether physiological measures predict boat assignment as determined by the head coach. Eight participants were members of the top varsity boat (1V) and 8 competed at a lower level (2V). Expired gases were collected while subjects completed the U.S. National Team V O 2 max (3-minute stages) and 2 kilometer (2K) time trial rowing ergometer protocols. Heart rates (HR) and blood lactates were measured before, during, and after each test. The V O 2 max and blood lactate at stage 2 of the V O 2 max test were used to predict boat assignment. Average (ϮSD) V O 2 max was 3.86 Ϯ 0.40 L·min Ϫ1 . The 2K times averaged 453.0 Ϯ 10.5 seconds. Subjects used approximately 96% of V O 2 max and 98% of HR max during the 2K time trials. Neither V O 2 max nor submaximal lactate were related to boat assignment. The V O 2 values during the 2K trial indicated that rowing economy differed among athletes. Results of physiological measures should help the coach individualize workouts of top performers.

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“…Por causa de condições ambientais adversas e dificuldade de controlar o ambiente na raia de treinamento e competição, o remoergômetro vem sendo utilizado por preparadores e técnicos, como estratégia de manter e aumentar o condicionamento físico 2 , e ainda possibilita a avaliação precisa das respostas metabólicas e cardiorrespiratórias durante o exercício [3][4][5] bem como da performance 3,6,7 . Com a avaliação individual do remador, os técnicos são capazes de avaliar o ranking de cada atleta na equipe em ambiente controlado 1 .…”

Section: Introductionunclassified

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

Silva

Brito

Reis³

2017

Rev Bras Med Esporte

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Introdução: O desempenho de remadores no remoergômetro é motivo de curiosidade entre os cientistas. Os modelos de predição podem medir o desempenho no remoergômetro. Neste sentido, as variáveis estudadas foram analisadas como possíveis preditores de desempenho. Objetivo: Desenvolver diferentes modelos de regressão a fim de predizer o desempenho com o uso das variáveis antropométricas composição corporal, consumo máximo de oxigênio e força. Métodos: Vinte remadores participaram do estudo (21,35 ± 0,98 anos). Foram aplicados os testes de consumo máximo de oxigênio, força, 500 m e o exame de absorciometria radiológica de dupla energia. A regressão linear múltipla foi realizada no SPSS 16 para os quatro diferentes modelos de regressão. A confiabilidade dos modelos foi indicada pelo coeficiente de determinação R2 e pelo erro padrão da estimativa (SEE). Resultados: Os modelos de antropometria-potência (R2 = 0,92; SEE = 0,06), VO 2 Pico (R2 = 0,88; SEE = 0,07), força-potência (R2 = 0,93; SEE = 0,06) apresentaram predição confiável para o desempenho nos 500 m em remoergômetro, assim como a combinação de todas as variáveis (R2 = 0,94; SEE = 0,08). Conclusão: Feitas essas análises, pode-se assegurar a necessidade desses modelos com o objetivo de complementar a identificação, seleção de talentos e, sobretudo, melhora no desempenho.Descritores: desempenho atlético; força muscular; antropometria; análise de variância; análise de regressão. ABSTRACTIntroduction: The performance of rowers in the rowing ergometer is a matter of curiosity among scientists. Prediction models can measure performance on the rowing ergometer. In this sense, the studied variables were analyzed as possible predictors of performance. Objective: To develop different regression models in order to predict performance using the anthropometric variables body composition, maximal oxygen consumption, and strength. Methods: Twenty rowers participated in the study (21.35±0.98 (R2=0.92, SEE=0.06), VO2 peak (R2=0.88, SEE=0.07), SEE=0.06) 92; SEE = 0,06), VO 2 pico (R2 = 0,88; SEE = 0,07),93; SEE = 0,06) presentaron predicción confiable para el rendimiento en los 500 m en remoergómetro, así como la combinación de todas las variables (R2 = 0,94; SEE = 0,08 . Com a avaliação individual do remador, os técnicos são capazes de avaliar o ranking de cada atleta na equipe em ambiente controlado 1 . Assim, os resultados das avaliações de potência e força máxima são preditores de desempenho no remoergômetro no teste máximo de 2000 metros [8][9][10][11] . Além disso, o comportamento físico está relacionado com a composição e dimensão corporal do remador de alto nível, por serem fatores determinantes da força muscular e amplitude de movimento nas fases da remada 12,13 . Enfim, um perfil favorável pode ser considerado como um fator importante para o desenvolvimento do remador em adição a técnica e experiência. Esse perfil identificado, pode ser utilizado para identificação de talentos e desenvolver avaliações específicas. Atualmente, os estudos analisam as variáveis que...

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Effects of Training on Physiological Correlates of Rowing Ergometry Performance

Cited by 4 publications

References 0 publications

The Effects of High-Intensity Interval Training in Well-Trained Rowers

The Effects of High-Intensity Interval Training in Well-Trained Rowers

Physiological Profiles and Performance Predictors of a Womenʼs NCAA Rowing Team

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

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