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:10.1519/1533-4287(1996)010<0234:eotopc>2.3.co;2

Cited by 5 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They recommend using the ergometer with a lower load setting and a moderate stroke rate to better mimic on-water rowing and emphasize cardiovascular conditioning, as opposed to using the ergometer for strength training at higher load settings. Rowing economy, defined as the volume of oxygen (V O 2 ) consumed at a given steady state workload [2], has been used to explain otherwise inconclusive or unclear measures of physiological rowing capacity [16,22]. Thus, any influence resistance may have on rowing economy could potentially apply to rowing performance.…”

Section: Effects Of Drag Factor On Physiological Aspects Of Rowingmentioning

confidence: 99%

Effects of Drag Factor on Physiological Aspects of Rowing

Kane

Jensen

Williams³

et al. 2008

Int J Sports Med

View full text Add to dashboard Cite

This study examined the effects of two resistances, or "drag factors" on selected physiological variables during incremental progressive rowing tests (seven 3-min stages) on a Concept2 ergometer. Subjects were seven male and seven female university club rowers. Their mean age, body mass and height were 19.6 +/- 1.5 years, 72.7 +/- 8.0 kg, and 172.2 +/- 7.5 cm, respectively. Progressive tests were conducted using drag factors 100 (D100) and 150 (D150) before the spring racing season. Values were determined for the following physiological variables: ventilation (V.E), oxygen uptake (V.O2), heart rate (HR), blood lactate concentration (BLC), respiratory exchange ratio (R) and rowing economy (W/V.O2). Comparisons across all six submaximal stages showed no significant difference between D(100) and D(150) for any of the variables measured (p > .05). Maximal V.E(max) was significantly greater at D100 than D150 (p < .02). Maximal V.O(2), HR, BLC, R, stroke rate (SR) and W/V.O2 were greater at D100 than at D150, though not significantly so. The mean D100-D150 differences in V.E and SR for each stage were significantly correlated (r = 0.76, p < .01), suggesting drag factor may affect V.E via SR.

show abstract

Section: Effects Of Drag Factor On Physiological Aspects Of Rowingmentioning

confidence: 99%

Effects of Drag Factor on Physiological Aspects of Rowing

Kane

Jensen

Williams³

et al. 2008

Int J Sports Med

View full text Add to dashboard Cite

show abstract

“…aerobic and anaerobic) are stressed to their maximum potential (Steinacker et al, 1998). In recent years, several studies have aimed to establish performance predictors in competitive rowing (Womack et al, 1996; Russell et al, 1998; Cosgrove et al, 1999; Jurimae et al, 2000; Ingham et al, 2002; Riechman et al, 2002; Mikulic & Ruzic, 2008). Not surprisingly, all of these studies reported either indicators of aerobic power, in particular maximal oxygen uptake (Womack et al, 1996; Russell et al, 1998; Cosgrove et al, 1999; Mikulic & Ruzic, 2008), or both and indicators of anaerobic power, specifically mean power (MP) during short‐term ergometer rowing (Jurimae et al, 2000; Ingham et al, 2002; Riechman et al, 2002) as strong correlates with rowing performance and important rowing‐performance predictors.…”

mentioning

confidence: 99%

Development of aerobic and anaerobic power in adolescent rowers: a 5‐year follow‐up study

Mikulić

2010

Scandinavian Med Sci Sports

View full text Add to dashboard Cite

We aimed to determine whether the physical and physiological superiority of early-maturing rowing athletes, observed at ages 12-13 years, over that of their late-maturing counterparts observed at the same ages, still persists at 17-18 years of age, when all adolescent athletes are expected to have completed pubertal development. We hypothesized that this superiority of early maturers would not be observed at reassessment, as late maturers would have likely "caught up" with their early-maturing peers. Twenty-one male rowers were assessed at age 12.8 ± 0.5 years and again at 17.5 ± 0.5 years (mean ± SD). They were divided into groups of early-maturing and late-maturing rowing athletes based on Tanner's sexual maturity ratings. A two-way repeated-measures MANOVA followed by a series of ANOVAs with one within-subject factor (time) and one between-subject factor (group) indicated significant (P≤0.003) within-subject and between-subjects main effects for lean body mass (LBM), maximal oxygen uptake (VO2max), and mean power (MP). The group × time interaction effects were significant for LBM (P=0.003), VO2max (P=0.004), but not for MP (P=0.171). Over 5 years, early-maturers' advantage dwindled in terms of LBM (+38% to +9%), VO2max (+47% to +9%), and MP (+76% to +15%); however, these differences may still be considered practically relevant. The proposed hypothesis was not supported.

show abstract

“…Anaerobic threshold represents pace equivalent to middle 3 minutes of 2000 m rowing competition. Several studies (Ingham et al, 2002, Womack, 1996 suggest that anaerobic threshold performance correlates with 2000 m performance on rowing ergometer. Energy for 2000 m rowing race is created by aerobic and anaerobic system.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2018

JPES

View full text Add to dashboard Cite

Aim of this study was to investigate changes in blood sugar level after aerobic workout on rowing ergometer. Tested group consisted of Slovak rowers (n: 6, average age: 22.2±4.9 years, average height: 183.5±4.0 cm, average weight: 79.5±6.0 kg). Group undertook 4 tests: lactate curve, glycaemic profile, rowing exercise at intensity of anaerobic threshold (IANT) and rowing exercise at intensity of aerobic threshold (IAT). Blood sugar level was measured during 120 min. intervals before workout and after workout with Accu-Chek Active unit. We used nonparametric Wilcoxon signed-rank test (p<0.05) for dependent files for evaluation of the results. Results have shown that the difference between average fluctuation of blood sugar during 120 minutes post-and pre-workout is not significant. Difference of glycaemia (by 2.2 mmol.l-1 , 46% resp.) immediately before and after the IANT test was significant (p<0.05). Difference of glycaemia (by 0.4 mmol.l-1 , 7% resp.) immediately before the IAT test and after the test was not significant.

show abstract

Effects of Training on Physiological Correlates of Rowing Ergometry Performance

Cited by 5 publications

References 0 publications

Effects of Drag Factor on Physiological Aspects of Rowing

Effects of Drag Factor on Physiological Aspects of Rowing

Development of aerobic and anaerobic power in adolescent rowers: a 5‐year follow‐up study

Untitled

Contact Info

Product

Resources

About