Rowing Performance and Selected Descriptive, Field, and Laboratory Variables

Kramer, John F.; Leger, Andrew; Paterson, Donald H.; Morrow, Alan

doi:10.1139/h94-013

Cited by 60 publications

(41 citation statements)

References 9 publications

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“…The _ V V O 2max was related to performance (r=0.88, P<0.001), a finding that is in agreement with those of Cosgrove et al (1999;r=0.85) and Kramer et al (1994;r=0.71 Cosgrove et al 1999). Indeed, Steinacker (1993) reported that _ W W 4mmol À1 Table 1 Correlation coefficients for determinants of rowing speed over 2,000 m on the ergometer.…”

Section: Discussionsupporting

confidence: 68%

“…The study of physiological characteristics of high and low performance rowers has revealed that greater maximal oxygen consumption ( _ V V O 2max ) (Secher et al 1983), percentage of slow twitch fibres (Roth et al 1983), body mass (Secher et al 1983) and power output at a blood lactate concentration ([La -] b ) of 4 mmolAEl -1 (Roth et al 1983) are all positively related to performance. Kramer et al (1994) compared several parameters measured in the laboratory and in the field with performance and found that _ V V O 2max was the strongest correlate (r=0.71). Cosgrove et al (1999) examined the relationships between ergometer performance over 2,000 m of rowing and selected physiological variables in club level rowers and reported that _ V V O 2max and lean body mass demonstrated the highest correlation with average velocity.…”

Section: Introductionmentioning

confidence: 99%

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Determinants of 2,000 m rowing ergometer performance in elite rowers

Ingham

Whyte

Jones

et al. 2002

European Journal of Applied Physiology

171

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This study examined the physiological determinants of performance during rowing over 2,000 m on an ergometer in finalists from World Championship rowing or sculling competitions from all categories of competion rowing (19 male and 13 female heavyweight, 4 male and 5 female lightweight). Discontinuous incremental rowing to exhaustion established the blood lactate threshold, maximum oxygen consumption (VO(2max)) and power at VO(2max); five maximal strokes assessed maximal force, maximal power and stroke length. These results were compared to maximal speed during a 2,000 m ergometer time trial. The strongest correlations were for power at VO(2max), maximal power and maximal force (r=0.95; P<0.001). Correlations were also observed for VO(2max) (r=0.88, P<0.001) and oxygen consumption (VO(2)) at the blood lactate threshold (r=0.87, P=0.001). The physiological variables were included in a stepwise regression analysis to predict performance speed (metres per second). The resultant model included power at VO(2max), VO(2) at the blood lactate threshold, power at the 4 mmol x l(-1) concentration of blood lactate and maximal power which together explained 98% of the variance in the rowing performance over 2,000 m on an ergometer. The model was validated in 18 elite rowers, producing limits of agreement from -0.006 to 0.098 m x s(-1) for speed of rowing over 2,000 m on the ergometer, equivalent to times of -1.5 to 6.9 s (-0.41% to 1.85%). Together, power at VO(2max), VO(2) at the blood lactate threshold, power at 4 mmol x l(-1) blood lactate concentration and maximal power could be used to predict rowing performance.

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Section: Discussionsupporting

confidence: 68%

Section: Introductionmentioning

confidence: 99%

Determinants of 2,000 m rowing ergometer performance in elite rowers

Ingham

Whyte

Jones

et al. 2002

European Journal of Applied Physiology

171

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“…The physiological responses to simulated rowing races, both in a boat (Di Prampero et al 1971;Jackson and Secher 1976;Secher et al 1983) and on a rowing ergometer (Hagerman et al 1978(Hagerman et al , 1979Kramer et al 1994;Mahler et al 1984;McKenzie and Rhodes 1982;Rosiello et al 1987;Young and Rhodes 1991) have been studied. Subject gender, level of rowing performance, equipment, and protocol dierences between these and the present study make comparisons dicult.…”

Section: Discussionmentioning

confidence: 99%

“…This test is a standard criterion used at national team selection camps in a number of countries (Kramer et al 1994), and was familiar to all of the subjects in this study. The test is designed to simulate the duration, intensity and stroke rating of an actual 2-km race on the water, and each rower was instructed to use her normal race strategy.…”

Section: Methodsmentioning

confidence: 99%

Aerobic and anaerobic energy during a 2-km race simulation in female rowers

Pripstein

Rhodes

McKenzie

et al. 1999

European Journal of Applied Physiology

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The maximal aerobic power (VO2max) and maximal anaerobic capacity (AODmax) of 16 female rowers were compared to their peak aerobic power (VO2peak) and peak anaerobic capacity (AODpeak, respectively) during a simulated 2-km race on a rowing ergometer. Each subject completed three tests, which included a 2-min maximal effort bout to determine the AODmax, a series of four, 4-min submaximal stages with subsequent progression to VO2max and a simulated 2-km race. Aerobic power was determined using an open-circuit system, and the accumulated oxygen deficit method was used to calculate anaerobic capacities from recorded mechanical power on a rowing ergometer. The average VO2peak (3.58 l min(-1)), which usually occurred during the last minute of the race simulation, was not significantly different (P > 0.05) from the VO2max (3.55 l min(-1)). In addition, the rowers' AODmax (3.40 l) was not significantly different (P > 0.05) from their AODpeak (3.50 1). The average time taken for the rowers to complete the 2-km race simulation was 7.5 min, and the anaerobic system (AODpeak) accounted for 12% of the rowers' total energy production during the race.

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“…Competitive Olympic rowing is regarded as an endurance sport and there is a close relationship between rowing performance and rowers' aerobic capacity (Cosgrove et al 1999;Kramer et al 1994;Yoshiga and Higuchi 2003). Rowing performance is dependent upon the functional capacity of both aerobic and anaerobic energy pathways (Secher 1973), with the amount of energy derived from anaerobic metabolism amounting to 21-30% (Secher 1993), and 70-86% from aerobic metabolism (Messonnier et al 1997).…”

Section: Introductionmentioning

confidence: 99%

Physiological factors to predict on traditional rowing performance

Izquierdo-Gabarren¹,

Expósito²,

Villarreal

et al. 2009

Eur J Appl Physiol

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The purpose of this study was to determine the best prediction factors of traditional rowing performance in traditional elite (ER) and amateur (AR) rowers. Average power during the 20-min all-out test (W(20 min)), average power output which elicited a blood lactate concentration of 4 mmol l(-1) (W(4 mmol l(-1))), power output in 10 maximal strokes (W(10 strokes)), maximal strength and muscle power output during a bench pull (BP) and anthropometric values were all measured for 46 trained male rowers aged 21-30 with 8-15 years of rowing training experience. The ER group showed greater body mass (5%, p < 0.05), greater fat free body mass (5%, p < 0.05), greater 1RM(BP) (13%, p < 0.001), longer training experience (43%, p < 0.001), and a shorter time in the 2,000 m test (4%, p < 0.05) than the AR group. The ER group showed higher power output values in W(10 strokes) (9%, p < 0.01), W(20 min) (15.4%, p < 0.01) and (W(4 mmol l(-1))) (17.8%, p < 0.01) compared with the AR group. Significant relationships were observed between (W(4 mmol l(-1))) and W(20 min) (r = 0.65 and 0.80; p < 0.01 in ER and AR, respectively). The indices for rowing performance suggested that W(20 min), (W(4 mmol l(-1))), W(10 strokes) and 1RM(BP) were the most important predictors of traditional rowing performance in elite and amateur rowers.

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Rowing Performance and Selected Descriptive, Field, and Laboratory Variables

Cited by 60 publications

References 9 publications

Determinants of 2,000 m rowing ergometer performance in elite rowers

Determinants of 2,000 m rowing ergometer performance in elite rowers

Aerobic and anaerobic energy during a 2-km race simulation in female rowers

Physiological factors to predict on traditional rowing performance

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