The Relationship of Anthropometric Characteristics of Elite Scullers and Sweep Rowers with their Performance Parameters

Yıl 2022, Cilt: 7 Sayı: 1, 9 - 20, 29.06.2022

Fatih Sani İrfan Gülmez Semih Yılmaz Cansel Cumbur Aytekin Soykan Nusret Ramazanoğlu

https://doi.org/10.29228/ERISS.18

Öz

The aim of this study is to investigate the effects of the anthropometric features of the elite scullers and sweep rowers on their sports performance.
A total of 31 licensed elite male rowing athletes, 10 scullers (age: 21.70 ± 3.30 years; height: 184.2 ± 6.11 cm; weight: 75.28 ± 6.78 kg) and 21 sweep oar rowers (age: 20.95 ± 2.50 years; height: 190.19 ± 5.71 cm; weight: 88.31 ± 8.83 kg), aged between 18 and 26 years with at least 5 years of rowing experience voluntarily participated in the study. In order to determine the rowing performance of the athletes, Oartec rowing simulation machine (Oartec Pty Ltd. Australia) was used. With the help of this simulator, 500-meters sweep oar and sculling events were performed under competition conditions. The data for mean power produced, finish time, stroke number and rate as well as mean speed values were collected from the rowing simulator machine. Before the test, the weight and lean body mass values of the athletes were measured using Tanita SC330 Body Analyzer. The effects of the height, arm span, sitting height, and leg length on performance parameters of the athletes participating in the study were assessed.
In this study, it was found that the anthropometric values of the sweep rowers are greater than scullers, which positively affects the performances of the sweep rowers.

Anahtar Kelimeler

Rowing, anthropometry, performance, oartec rowing simulator

Destekleyen Kurum

Marmara University Scientific Research Projects Unit

Proje Numarası

SAG-C-DRP-241018-0577

Teşekkür

For this study, supported by Marmara University Sport Sciences and Athletes Health Research and Implementation Centre and Marmara University Faculty of Sport Sciences, we would like to thank the employees and the staff of the center faculty management. This study was generated from Fatih Sani's doctoral thesis of "Marmara University, Institute of Health Sciences, Department of Physical Education and Sports, Exercise and Training Sciences Program."

The Relationship of Anthropometric Characteristics of Elite Scullers and Sweep Rowers with their Performance Parameters

Öz

The aim of this study is to investigate the effects of the anthropometric features of the elite scullers and sweep rowers on their sports performance. A total of 31 licensed elite male rowing athletes, 10 scullers (age: 21.70 ± 3.30 years; height: 184.2 ± 6.11 cm; weight: 75.28 ± 6.78 kg) and 21 sweep oar rowers (age: 20.95 ± 2.50 years; height: 190.19 ± 5.71 cm; weight: 88.31 ± 8.83 kg), aged between 18 and 26 years with at least 5 years of rowing experience voluntarily participated in the study. In order to determine the rowing performance of the athletes, Oartec rowing simulation machine (Oartec Pty Ltd. Australia) was used. With the help of this simulator, 500-meters sweep oar and sculling events were performed under competition conditions. The data for mean power produced, finish time, stroke number and rate as well as mean speed values were collected from the rowing simulator machine. Before the test, the weight and lean body mass values of the athletes were measured using Tanita SC330 Body Analyzer. The effects of the height, arm span, sitting height, and leg length on performance parameters of the athletes participating in the study were assessed. In this study, it was found that the anthropometric values of the sweep rowers are greater than scullers, which positively affects the performances of the sweep rowers.

Anahtar Kelimeler

Rowing, anthropometry, performance, oartec rowing simulator

Proje Numarası

SAG-C-DRP-241018-0577

Kaynakça

• Akça, F. (2014). Prediction of rowing ergometer performance from functional anaerobic power, strength and anthropometric components. Journal of human kinetics, 41(1), 133-142.
• Arslanoğlu, E., Kürşat, A. C. A. R., Ahmet, M. O. R., Baynaz, K., İpekoğlu, G., & Arslanoğlu, C. (2020). Body Composition And Somatotype Profiles Of Rowers. Turkish Journal Of Sport And Exercise, 22(3), 431-437.
• Benson, A., Abendroth, J., King, D., & Swensen, T. (2011). Comparison of rowing on a Concept 2 stationary and dynamic ergometer. Journal of Sports Science & Medicine, 10(2), 267.
• Černe, T., Kamnik, R., & Munih, M. (2011). The measurement setup for real-time biomechanical analysis of rowing on an ergometer. Measurement, 44(10), 1819-1827.
• Das, A., Mandal, M., Syamal, A. K., & Majumdar, P. (2019). Monitoring Changes of Cardio-Respiratory Parameters During 2000m Rowing Performance. International Journal of Exercise Science, 12(2), 483.
• Doma, K., Sinclair, W. H., Hervert, S. R., & Leicht, A. S. (2016). Postactivation potentiation of dynamic conditioning contractions on rowing sprint performance. Journal of Science and Medicine in Sport, 19(11), 951-956.
• Domínguez, R., López-Domínguez, R., López-Samanes, Á., Gené, P., González-Jurado, J. A., & Sánchez-Oliver, A. J. (2020). Analysis of sport supplement consumption and body composition in Spanish elite rowers. Nutrients, 12(12), 3871.
• Egan-Shuttler, J. D., Edmonds, R., Eddy, C., O’Neill, V., & Ives, S. J. (2017). The effect of concurrent plyometric training versus submaximal aerobic cycling on rowing economy, peak power, and performance in male high school rowers. Sports medicine-open, 3(1), 1-10.
• Feros, S. A., Young, W. B., Rice, A. J., & Talpey, S. W. (2012). The effect of including a series of isometric conditioning contractions to the rowing warm-up on 1,000-m rowing ergometer time trial performance. The Journal of Strength & Conditioning Research, 26(12), 3326-3334.
• Filippeschi, A., Tripicchio, P., Satler, M., & Ruffaldi, E. (2012). Capturing the rower performance on the SPRINT platform. In Workshop Proceedings of the 8th International Conference on Intelligent Environments (pp. 331-340). IOS Press.
• Fohanno, V., Nordez, A., Smith, R., & Colloud, F. (2015). Asymmetry in elite rowers: effect of ergometer design and stroke rate. Sports biomechanics, 14(3), 310-322.
• Gee, T.; Olsen, P.; Fritzdorf, S.; White, D.; Golby, J.; Thompson, K. Recovery of rowing sprint performance after high intensity strength training. Int. J. Sport. Sci. Coach. 2012, 7, 109–120.
• Hill, H. (2002). Dynamics of coordination within elite rowing crews: evidence from force pattern analysis. Journal of sports sciences, 20(2), 101-117.
• Huang, C. J., Nesser, T. W., & Edwards, J. E. (2007). Strength and power determinants of rowing performance. J Exerc Physiol Online, 10(4), 43-50.
• Majumdar, P., Das, A., & Mandal, M. (2017). Physical and strength variables as a predictor of 2000m rowing ergometer performance in elite rowers. Journal of physical education and sport, 17(4), 2502-2507.
• Martindale, W. O., & Robertson, D. G. E. (1984). Mechanical energy in sculling and in rowing an ergometer. ZWKS.
• Mavrommataki, E., Bogdanis, G. C., Kaloupsis, S., & Maridaki, M. (2006). Recovery of power output and heart rate kinetics during repeated bouts of rowing exercise with different rest intervals. Journal of sports science & medicine, 5(1), 115.
• Metikos, B., Mikulic, P., Sarabon, N., & Markovic, G. (2015). Peak power output test on a rowing ergometer: a methodological study. The Journal of Strength & Conditioning Research, 29(10), 2919-2925.
• Mikulic, P. (2009). Anthropometric and metabolic determinants of 6,000-m rowing ergometer performance in internationally competitive rowers. The Journal of Strength & Conditioning Research, 23(6), 1851-1857.
• Podstawski, R., Żurek, P., Clark, C. C., Laukkanen, J. A., Markowski, P., & Gronek, P. (2019). A multi-factorial assessment of the 3-Minute Burpee Test. JPES, 19(2), 1083-1091.
• Rauter, G., Sigrist, R., Koch, C., Crivelli, F., van Raai, M., Riener, R., & Wolf, P. (2013). Transfer of complex skill learning from virtual to real rowing. PloS one, 8(12), e82145.
• Sebastia-Amat, S., Penichet-Tomas, A., Jimenez-Olmedo, J. M., & Pueo, B. (2020). Contributions of anthropometric and strength determinants to estimate 2000 m ergometer performance in traditional rowing. Applied Sciences, 10(18), 6562.
• Soper, C., & Hume, P. A. (2004). Rowing: reliability of power output during rowing changes with ergometer type and race distance. Sports biomechanics, 3(2), 237-248.
• Sulaiman, N., Hashim, N. M., Adnan, R., & Ismail, S. I. (2016). Relationship between selected anthropometrics and rowing performance among Malaysian elite rowers. In Proceedings of the 2nd International Colloquium on Sports Science, Exercise, Engineering and Technology 2015 (ICoSSEET 2015) (pp. 101-108). Springer, Singapore
• Vanderburgh, P. M., & Laubach, L. L. (2008). Body mass bias in a competition of muscle strength and aerobic power. The Journal of Strength & Conditioning Research, 22(2), 375-382.).
• Zainuddin, F. L., Umar, M. A., Razman, R. M., & Shaharudin, S. (2019). Changes of Lower Limb Kinematics during 2000m Ergometer Rowing among Male Junior National Rowers. Pertanika Journal of Social Sciences & Humanities, 27(2)