Maximal aerobic power in oarsmen

Secher, Niels H.; Vaage, O.; Jensen, Kim Ebensgaard; Jackson, R. C.

doi:10.1007/bf00455178

Cited by 41 publications

(23 citation statements)

References 13 publications

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“…The same conclusion was reached by Astrand and Rodahl (1986), when modelling maximum oxygen uptake (1" min-1) of top Norwegian athletes trained in a variety of events (data by Vaage and Hermansen) and by Secher et al (1983) and Secher (1990) when describing the maximum oxygen uptake of oarsmen. Indeed, the findings that peak and mean power should be scaled by dividing the power output (W) by m (kg-2/3) is entirely plausible, once again, based on the work of Astrand and Rodahl (1986).…”

Section: Discussionsupporting

confidence: 70%

Scaling physiological measurements for individuals of different body size

Nevill

Ramsbottom

Williams

1992

Europ. J. Appl. Physiol.

284

272

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Summary. This paper examines how selected physiological performance variables, such as maximal oxygen uptake, strength and power, might best be scaled for subject differences in body size. The apparent dilemma between using either ratio standards or a linear adjustment method to scale was investigated by considering how maximal oxygen uptake (l" rain-1), peak and mean power output (W) might best be adjusted for differences in body mass (kg). A curvilinear power function model was shown to be theoretically, physiologically and empirically superior to the linear models. Based on the fitted power functions, the best method of scaling maximum oxygen uptake, peak and mean power output, required these variables to be divided by body mass, recorded in the units kg 2/3. Hence, the power function ratio standards (ml.kg -2/3.min -1) and (W.kg-2/3) were best able to describe a wide range of subjects in terms of their physiological capacity, i.e. their ability to utilise oxygen or record power maximally, independent of body size. The simple ratio standards (ml. kg-1. min-1) and (W. kg -1) were found to best describe the same subjects according to their performance capacities or ability to run which are highly dependent on body size. The appropriate model to explain the experimental design effects on such ratio standards was shown to be log-normal rather than normal. Simply by taking logarithms of the power function ratio standard, identical solutions for the design effects are obtained using either ANOVA or, by taking the unscaled physiological variable as the dependent variable and the body size variable as the covariate, ANCOVA methods.

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Section: Discussionsupporting

confidence: 70%

Scaling physiological measurements for individuals of different body size

Nevill

Ramsbottom

Williams

1992

Europ. J. Appl. Physiol.

284

272

View full text Add to dashboard Cite

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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%

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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“…A high absolute VC^max level in male heavyweight rowers has been partially attributed to the rowers 9 large body size, but the importance of VC>2max to successful on-water rowing performance is demonstrated by the high correlation between VC^max and success in international rowing competition (Secher, 1983). VC^max is also able to discriminate between successful and less successful competitive rowers (Larsson and Forsberg, 1980;Secher et al, 1983). Dynamic muscular strength is also fundamentally important to on-water rowing performance (Secher, 1975;Pyke et ah, 1979;Rodriguez, 1990;Hartman et ai, 1993;Steinacker, 1993;Kramer et aL, 1994;Jensen et aL, 1996).…”

Section: Introductionmentioning

confidence: 96%

The relationship of physical and physiological parameters to 2000 m simulated rowing performance

Gillies

Bell

2000

Sports Medicine, Training and Rehabilitation

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The purpose of this study was to describe the physiological requirements of a 2000 m simulated rowing performance, and to examine the relationship between this performance and various physical and physiological parameters. The measurements made on 22 female and 10 male rowers included a 2000 m simulated rowing performance, height, body mass, ventilatory threshold (VT), power output at VT (PO at VT), heart rate at VT, absolute maximal oxygen consumption (VO 2 max), power output at VO 2 max (PO at VO 2 max), and leg and bench press one repetition maximum (1 RM). A 2000 m simulated rowing test was performed at a mean intensity of 90.2% of VO 2 max, 77.0% of the PO at VO 2 max, and at 95.8% of HRmax. Significant correlation was found between the 2000 m rowing time and a competitor's height (r= -0.83), body mass (r = -0.69), VT (r = -0.81), PO at VT (r=-0.74), VO 2 max (r = -0.96), PO at VO 2 max (r = -0.83) and all strength variables (r = -0.56 to -0.79), respectively. Stepwise multiple regression indicated that the absolute VO 2 max was the best predictor of 2000 m simulated rowing performance (p 0.05). It was also found that males utilize strength to a greater degree than female to perform the 2000 m simulated rowing performance trial.

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Maximal aerobic power in oarsmen

Cited by 41 publications

References 13 publications

Scaling physiological measurements for individuals of different body size

Scaling physiological measurements for individuals of different body size

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

The relationship of physical and physiological parameters to 2000 m simulated rowing performance

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