Prediction of 2000 m indoor rowing performance using a 30 s sprint and maximal oxygen uptake
- PMID: 12200919
- DOI: 10.1080/026404102320219383
Prediction of 2000 m indoor rowing performance using a 30 s sprint and maximal oxygen uptake
Abstract
The aim of this study was to predict indoor rowing performance in 12 competitive female rowers (age 21.3 +/- 3.6 years, height 1.68 +/- 0.54 m, body mass 67.1 +/- 11.7 kg; mean +/- s) using a 30 s rowing sprint, maximal oxygen uptake and the blood lactate response to submaximal rowing. Blood lactate and oxygen uptake (VO2) were measured during a discontinuous graded exercise test on a Concept II rowing ergometer incremented by 25 W for each 2 min stage; the highest VO2 measured during the test was recorded as VO2max (mean = 3.18 +/- 0.35 l.min-1). Peak power (380 +/- 63.2 W) and mean power (368 +/- 60.0 W) were determined using a modified Wingate test protocol on the Concept II rowing ergometer. Rowing performance was based on the results of the 2000 m indoor rowing championship in 1997 (466.8 +/- 12.3 s). Laboratory testing was performed within 3 weeks of the rowing championship. Submitting mean power (Power), the highest and lowest five consecutive sprint power outputs (Maximal and Minimal), percent fatigue in the sprint test (Fatigue), VO2max (l.min-1), VO2max (ml.kg-1.min-1), VO2 at the lactate threshold, power at the lactate threshold (W), maximal lactate concentration, lactate threshold (percent VO2max) and VEmax (l.min-1) to a stepwise multiple regression analysis produced the following model to predict 2000 m rowing performance: Time2000 = -0.163 (Power) -14.213.(VO2max l.min-1) +0.738.(Fatigue) 7.259 (R2 = 0.96, standard error = 2.89). These results indicate that, in the women studied, 75.7% of the variation in 2000 m indoor rowing performance time was predicted by peak power in a rowing Wingate test, while VO2max and fatigue during the Wingate test explained an additional 12.1% and 8.2% of the variance, respectively.
Similar articles
-
Measures of rowing performance.Sports Med. 2012 Apr 1;42(4):343-58. doi: 10.2165/11597230-000000000-00000. Sports Med. 2012. PMID: 22401296 Review.
-
The relationship between selected physiological variables of rowers and rowing performance as determined by a 2000 m ergometer test.J Sports Sci. 1999 Nov;17(11):845-52. doi: 10.1080/026404199365407. J Sports Sci. 1999. PMID: 10585164 Clinical Trial.
-
Determinants of 2,000 m rowing ergometer performance in elite rowers.Eur J Appl Physiol. 2002 Dec;88(3):243-6. doi: 10.1007/s00421-002-0699-9. Epub 2002 Oct 10. Eur J Appl Physiol. 2002. PMID: 12458367
-
Modification of the Wingate anaerobic power test for rowing: optimization of the resistance setting.Int J Sports Med. 2004 Aug;25(6):409-14. doi: 10.1055/s-2004-815849. Int J Sports Med. 2004. PMID: 15346227 Clinical Trial.
-
Physiological aspects of training in rowing.Int J Sports Med. 1993 Sep;14 Suppl 1:S3-10. Int J Sports Med. 1993. PMID: 8262704 Review.
Cited by
-
Associations between Multimodal Fitness Assessments and Rowing Ergometer Performance in Collegiate Female Athletes.Sports (Basel). 2020 Oct 15;8(10):136. doi: 10.3390/sports8100136. Sports (Basel). 2020. PMID: 33076348 Free PMC article.
-
Energy systems efficiency influences the results of 2,000 m race simulation among elite rowers.Clujul Med. 2017;90(1):60-65. doi: 10.15386/cjmed-675. Epub 2017 Jan 15. Clujul Med. 2017. PMID: 28246499 Free PMC article.
-
Measures of rowing performance.Sports Med. 2012 Apr 1;42(4):343-58. doi: 10.2165/11597230-000000000-00000. Sports Med. 2012. PMID: 22401296 Review.
-
Determination of critical power in trained rowers using a three-minute all-out rowing test.Eur J Appl Physiol. 2012 Apr;112(4):1251-60. doi: 10.1007/s00421-011-2081-2. Epub 2011 Jul 19. Eur J Appl Physiol. 2012. PMID: 21769731 Clinical Trial.
-
The effect of confounding variables on the relationship between anthropometric and physiological features in 2000-m rowing ergometer performance.Front Physiol. 2023 May 30;14:1195641. doi: 10.3389/fphys.2023.1195641. eCollection 2023. Front Physiol. 2023. PMID: 37334050 Free PMC article.
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Miscellaneous