Relationships of Waving rate, Waving length, and swimming velocity in the 50 m Surface Comparison of the finalists and the non-finalists in the world championships of Finswimming

The aim of present study was to quantify the Waving techniques, such as Waving rate (WR; Waving per second), Waving length (WL; distance per Waving), and swimming time (ST), in the finalists and the non-finalists in Finswimming world championships in the 50 m Surface. The subjects were 5 finalist ma...

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Published inJapanese journal of sciences in swimming and water exercise Vol. 11; no. 1; pp. 14 - 18
Main Authors OSHITA, Kazushige, KAWAKAMI, Masayuki, ROSS, Misaki, TAKAHASHI, Kouki, YANO, Sumio, KOIZUMI, Kazushi, KASHIMOTO, Syunpei
Format Journal Article
LanguageEnglish
Japanese
Published Japanese Society of Sciences in Swimming and Water Exercise 2008
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ISSN1880-6937
1880-7097
DOI10.2479/swex.11.14

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Abstract The aim of present study was to quantify the Waving techniques, such as Waving rate (WR; Waving per second), Waving length (WL; distance per Waving), and swimming time (ST), in the finalists and the non-finalists in Finswimming world championships in the 50 m Surface. The subjects were 5 finalist males and 5 non- finalist males in 12th Finswimming world championships in the 50 m Surface. ST of the finalists was faster than that of the non-finalists (16.37 sec vs. 17.91 sec, P < 0.01), and WL of the finalists was longer than that of the non- finalists (1.16 vs. 1.06 meter, P < 0.05). There was no significant difference between the finalists and the non- finalists with regard to WR (2.65 vs. 2.64 Hz). There was a significant negative relationship between ST and WL (r = -0.88, P < 0.01). However, there was no significant relationship between ST and WR (r = 0.32, P = 0.38). Furthermore, WR was a significantly correlated with the residual error of ST, calculated from the regression analysis for the relationship between WL and ST (r = -0.67, P = 0.03). These results suggest that WL is concluded to be an important factor that influences ST for elite athlete in the 50 m SF.
AbstractList The aim of present study was to quantify the Waving techniques, such as Waving rate (WR; Waving per second), Waving length (WL; distance per Waving), and swimming time (ST), in the finalists and the non-finalists in Finswimming world championships in the 50 m Surface. The subjects were 5 finalist males and 5 non- finalist males in 12th Finswimming world championships in the 50 m Surface. ST of the finalists was faster than that of the non-finalists (16.37 sec vs. 17.91 sec, P < 0.01), and WL of the finalists was longer than that of the non- finalists (1.16 vs. 1.06 meter, P < 0.05). There was no significant difference between the finalists and the non- finalists with regard to WR (2.65 vs. 2.64 Hz). There was a significant negative relationship between ST and WL (r = -0.88, P < 0.01). However, there was no significant relationship between ST and WR (r = 0.32, P = 0.38). Furthermore, WR was a significantly correlated with the residual error of ST, calculated from the regression analysis for the relationship between WL and ST (r = -0.67, P = 0.03). These results suggest that WL is concluded to be an important factor that influences ST for elite athlete in the 50 m SF.
The aim of present study was to quantify the Waving techniques, such as Waving rate (WR; Waving per second), Waving length (WL; distance per Waving), and swimming time (ST), in the finalists and the non-finalists in Finswimming world championships in the 50 m Surface. The subjects were 5 finalist males and 5 non- finalist males in 12 super(th) Finswimming world championships in the 50 m Surface. ST of the finalists was faster than that of the non-finalists (16.37 sec vs. 17.91 sec, P < 0.01), and WL of the finalists was longer than that of the non- finalists (1.16 vs. 1.06 meter, P < 0.05). There was no significant difference between the finalists and the non- finalists with regard to WR (2.65 vs. 2.64 Hz). There was a significant negative relationship between ST and WL (r = -0.88, P < 0.01). However, there was no significant relationship between ST and WR (r = 0.32, P = 0.38). Furthermore, WR was a significantly correlated with the residual error of ST, calculated from the regression analysis for the relationship between WL and ST (r = - 0.67, P = 0.03). These results suggest that WL is concluded to be an important factor that influences ST for elite athlete in the 50 m SF.
Author YANO, Sumio
TAKAHASHI, Kouki
KOIZUMI, Kazushi
OSHITA, Kazushige
KASHIMOTO, Syunpei
ROSS, Misaki
KAWAKAMI, Masayuki
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References 8) 大下和茂, ロスみさき, 他 (2007) 競泳 (自由形およびバタフライ) と比較したフィンスイミングの記録特性. 第11回日本水泳水中運動学会年次大会論集: 45-48.
10) Pendergast, D. R., Mollendorf, J., et al. (2003) Evaluation of fins used in underwater swimming. Undersea Hyperb Med 30: 57-73.
7) 小野寺丈晴, 荻田太, 他 (1999) 30秒から5分程度で疲労困憊にいたる水泳中のストローク指標とエネルギー消費量の関係. 水泳水中運動科学 2: 16-20.
5) 藤原寛康, 荻田太 (1996) 最大努力によるスプリントクロールの全身泳, アームストローク, キックにおける泳速, ストローク頻度, ストローク長の関係. トレーニング科学 8: 33-38.
1) Aujouannet, Y. A., Bonifazi, M., et al. (2006) Effects of a high-intensity swim test on kinematic parameters in high-level athletes. Appl. Physiol. Nutr. Metab. 31: 150-158.
11) Rejman, M. and Ochmann, B. (2007) Functional Model of monofin swimming technique based on the construction of neural networks. J Sports Sci. Med 6: 193-203.
9) Oshita, K., Ross, M., et al. (2008) A study about the variable of WAVING in Japanese finswimmers in the 50-m Surface and Apnea. The Book of Proceedings of the International Scientific Conference of Aquatic Space Activities, Nomura, T. and Ungerechts, B. E. (Eds.), pp 403-408, 2008.
3) Gautier, J., Baly, L., et al. (2004) A kinematic study of finswimming at surface. J Sports Sci. Med 3: 91-95.
14) Zamparo, P., Pendergast, D. R., et al. (2002) How fins affect the economy and efficiency of human swimming. J. of Exp. Biol. 205: 2665-2676, 2002.
6) Nagano, A. and Komura, T. (2003) Longer moment arm results in smaller joint moment development, power and work outputs in fast motions., J. of Biomech. 36: 1675-1681.
13) World Underwater Federation (2006) Finswimming international rules, World Underwater Federation.
4) 堀内直 (2002) フィンスイミング入門. 澤栗勝人 (監修), 日本水中スポーツ連盟 (編) 日本水中スポーツ連盟: 東京.
2) Craig, A. B. Jr., Skehan, P. L., et al. (1985) Craig AB Jr., et al.: Velocity, stroke rate, and distance per stroke during elite swimming competition. Med Sci. Sports Exerc. 17: 625-634.
12) 若吉浩二 (1992) 競泳のレース分析. バイオメカニズム研究 16: 93-100.
15) Zamparo, P., Pendergast, D. R., et al. (2006) Economy and efficiency of swimming at the surface with fins of different size and stiffness. Eur. J. of Appl. Physiol. 96: 459-470, 2006.
References_xml – reference: 3) Gautier, J., Baly, L., et al. (2004) A kinematic study of finswimming at surface. J Sports Sci. Med 3: 91-95.
– reference: 5) 藤原寛康, 荻田太 (1996) 最大努力によるスプリントクロールの全身泳, アームストローク, キックにおける泳速, ストローク頻度, ストローク長の関係. トレーニング科学 8: 33-38.
– reference: 8) 大下和茂, ロスみさき, 他 (2007) 競泳 (自由形およびバタフライ) と比較したフィンスイミングの記録特性. 第11回日本水泳水中運動学会年次大会論集: 45-48.
– reference: 15) Zamparo, P., Pendergast, D. R., et al. (2006) Economy and efficiency of swimming at the surface with fins of different size and stiffness. Eur. J. of Appl. Physiol. 96: 459-470, 2006.
– reference: 14) Zamparo, P., Pendergast, D. R., et al. (2002) How fins affect the economy and efficiency of human swimming. J. of Exp. Biol. 205: 2665-2676, 2002.
– reference: 13) World Underwater Federation (2006) Finswimming international rules, World Underwater Federation.
– reference: 1) Aujouannet, Y. A., Bonifazi, M., et al. (2006) Effects of a high-intensity swim test on kinematic parameters in high-level athletes. Appl. Physiol. Nutr. Metab. 31: 150-158.
– reference: 11) Rejman, M. and Ochmann, B. (2007) Functional Model of monofin swimming technique based on the construction of neural networks. J Sports Sci. Med 6: 193-203.
– reference: 9) Oshita, K., Ross, M., et al. (2008) A study about the variable of WAVING in Japanese finswimmers in the 50-m Surface and Apnea. The Book of Proceedings of the International Scientific Conference of Aquatic Space Activities, Nomura, T. and Ungerechts, B. E. (Eds.), pp 403-408, 2008.
– reference: 12) 若吉浩二 (1992) 競泳のレース分析. バイオメカニズム研究 16: 93-100.
– reference: 4) 堀内直 (2002) フィンスイミング入門. 澤栗勝人 (監修), 日本水中スポーツ連盟 (編) 日本水中スポーツ連盟: 東京.
– reference: 7) 小野寺丈晴, 荻田太, 他 (1999) 30秒から5分程度で疲労困憊にいたる水泳中のストローク指標とエネルギー消費量の関係. 水泳水中運動科学 2: 16-20.
– reference: 6) Nagano, A. and Komura, T. (2003) Longer moment arm results in smaller joint moment development, power and work outputs in fast motions., J. of Biomech. 36: 1675-1681.
– reference: 10) Pendergast, D. R., Mollendorf, J., et al. (2003) Evaluation of fins used in underwater swimming. Undersea Hyperb Med 30: 57-73.
– reference: 2) Craig, A. B. Jr., Skehan, P. L., et al. (1985) Craig AB Jr., et al.: Velocity, stroke rate, and distance per stroke during elite swimming competition. Med Sci. Sports Exerc. 17: 625-634.
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SubjectTerms Finswimming
Surface
Waving length
Waving rate
Subtitle Comparison of the finalists and the non-finalists in the world championships of Finswimming
Title Relationships of Waving rate, Waving length, and swimming velocity in the 50 m Surface
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