Swimming Efficiency of Male Swimmers According to Phases in Short Distance Backstroke Race

Yıl 2026, Cilt: 11 Sayı: 1, 114 - 125

Benil Kıstak Altan , Ali Özüak

https://doi.org/10.25307/jssr.1739398

https://izlik.org/JA98HK63BF

Öz

The aim of this study was to investigate the swimming efficiency of youth swimmers in the start, swimming, finish phases of short distance (50 meter) backstroke races. A total of 152 male swimmers who participated in the Long Course National Development Project races held in Istanbul, voluntarily participated in the study. One Canon camera with 25 fps was positioned to see the whole race. The 50-meter distance was analyzed in three sections: a) the start phase, which was the first 15-meter b) the swim phase between 15-meter, and 35-meter c) the finish phase, which was the last 15-meter. The swimmers' time, speed, stroke count, stroke rate, stroke length, stroke index, and SWOLF-Index were determined in these three phases. In the start phase, the distance and time (underwater distance and underwater time) obtained by the swimmers during their kicks between the start and underwater were not included. Data were analyzed by Repeated Measures ANOVA and Bonferroni post-hoc test in JASP 0.19.3 program. There were significant differences in the performance parameters of swimmers according to the start, swimming and finish phases of the 50-meter event (p<0.05). Large effect sizes were observed for time, speed, stroke count, stroke rate, swim index, and SWOLF-Index values. In the short-distance backstroke race for male swimmers, significant differences in performance were observed according to different phases of the race. It was determined that after the first 15 meter, in addition to speed and time parameters, stroke mechanics, swimming index, and SWOLF-Index value also had a performance-determining effect.

Anahtar Kelimeler

Swimming , Backstroke , Stroke mechanics , Performance

Kaynakça

• Aprilo, I., Arfanda, P. E., Mappaompo, M. A., Rizal, A., & Asyhari, H. (2025). Biomechanical analysis of tennis spin serve technique using Kinovea in beginner athletes in South Sulawesi. Journal Physical Health Recreation, 5(2), 472-478. [CrossRef]
• Barbosa, A. C., Barroso, R., Gonjo, T., Rossi, M. M., Paolucci, L. A., Olstad, B. H., & Andrade, A. G. (2021). 50 m freestyle in 21, 22 and 23 s: What differentiates the speed curve of world-class and elite male swimmers?. International Journal of Performance Analysis in Sport, 21(6), 1055-1065. [CrossRef]
• Barbosa, T. M., Marinho, D. A., Costa, M. J., & Silva, A. J. (2011). Biomechanics of competitive swimming strokes. In V. Klika (Eds.), Biomechanics in applications (pp.367-380). InTech.
• Bulgan-Ercin, Ç. (2023). Adölesan yüzücülerin alt ekstremite kinetik ve kinematiklerinin incelenmesi. Spor.
• Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2. edition). Lawrence Erlbaum Associates.
• Craig, A. B., & Pendergast, D. R. (1979). Relationships of stroke rate, distance per stroke, and velocity in competitive swimming. Medicine and Science in Sports, 11(3), 278-283.
• Daly, D. J., Djobova, S. K., Malone, L. A., Vanlandewijck, Y., & Steadward, R. D. (2003). Swimming speed patterns and stroking variables in the paralympic 100-m freestyle. Adapted Physical Activity Quarterly, 20(3), 260-278. [CrossRef]
• Delgado-Gonzalo, R., Lemkaddem, A., Renevey, P., Calvo, E. M., Lemay, M., Cox, K., Ashby, D., Willardson, J., & Bertschi, M. (2016). Real-time monitoring of swimming performance. In 2016 38th annual international conference of the IEEE engineering in medicine and biology society (pp. 4743-4746). IEEE.
• Feitosa, W. G., Correia, R. D. A., Barbosa, T. M., & Castro, F. A. D. S. (2022). Performance of disabled swimmers in protocols or tests and competitions: A systematic review and meta analysis. Sports Biomechanics, 21(3), 255-277. [CrossRef]
• Figueiredo, P., Silva, A., Sampaio, A., Vilas-Boas, J. P., & Fernandes, R. J. (2016). Front crawl sprint performance: A cluster analysis of biomechanics, energetics, coordinative, and anthropometric determinants in young swimmers. Motor Control, 20(3), 209-221. [CrossRef]
• Garland-Fritzdorf, S., Hibbs, A., & Kleshnev, V. (2009). Analysis of speed, stroke rate, and stroke distance for world-class breaststroke swimming. Journal of Sports Sciences, 27(4), 373-378. [CrossRef]
• Gonjo, T., & Olstad, B. H. (2021). Race analysis in competitive swimming: A narrative review. International Journal of Environmental Research and Public Health, 18(1), Article 69. [CrossRef]
• Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2013). Multivariate data analysis. Pearson Education Limited.
• Kaya, B. (2012). 9-11 yaş grubu serbest yüzücülerde kulaç uzunluğu ve sıklığının performansa etkisi [Effect of stroke length and stroke frequency on performance for crawl swımmers in 9-11 age groups]. Sport Sciences, 7(2), 27-36.
• Kıstak-Altan, B., & Odabaş, H. İ. (2023). Yüzmede ısınma performansının kulaç mekaniğine etkileri: Tanımlayıcı araştırma [Effects of Warm-up Performance on Stroke Mechanics in Swimming: Descriptive Research]. Turkiye Klinikleri Journal of Sports Sciences, 15(1), 25-33. [CrossRef]
• Kyriakidou, G., Tsalis, G., & Evaggelinou, C. (2024). Impact of a three-month training break on swimming performance in athletes with intellectual disability. Sports, 12(12), Article 330. [CrossRef]
• López-Plaza, D., Quero-Calero, C. D., Alacid, F., & Abellán-Aynés, O. (2024). Stroke steadiness as a determinant factor of performance in 100 m freestyle in young swimmers. Sports, 12(4), Article 107. [CrossRef]
• Madou, T., Vanluyten, K., Martens, J., & Iserbyt, P. (2023). Assessment and prediction of swimming performance using the SWOLF index. International Journal of Kinesiology in Higher Education, 7(1), 76-85. [CrossRef]
• Maglischo, E. W. (2003). Swimming fastest. Human Kinetics.
• Marinho, D. A., Barbosa, T. M., Rouboa, A. I., & Silva, A. J. (2011). The hydrodynamic study of the swimming gliding: A two-dimensional computational fluid dynamics (CFD) analysis. Journal of Human Kinetics, 29, 49-57. [CrossRef]
• McCabe, C. B., Sanders, R. H., & Psycharakis, S. G. (2015). Upper limb kinematic differences between breathing and non-breathing conditions in front crawl sprint swimming. Journal of Biomechanics, 48(15), 3995-4001. [CrossRef]
• Mooney, R., Corley, G., Godfrey, A., Quinlan, L. R., & ÓLaighin, G. (2015). Inertial sensor technology for elite swimming performance analysis: A systematic review. Sensors, 16(1), Article 18. [CrossRef]
• Morais, J. E., Barbosa, T. M., Bragada, J. A., Nevill, A. M., & Marinho, D. A. (2023). Race analysis and determination of stroke frequency–stroke length combinations during the 50-m freestyle event. Journal of Sports Science & Medicine, 22(1), 156-165. [CrossRef]
• Morais, J. E., Jesus, S., Lopes, V., Garrido, N., Silva, A. J., Marinho, D. A., & Barbosa, T. M. (2010). Linking selected kinematic, anthropometric, and hydrodynamic variables to young swimmer performance. Pediatric Exercise Science, 22(4), 649–664. [CrossRef]
• Nicol, E., Pearson, S., Saxby, D., Minahan, C., & Tor, E. (2022). Stroke kinematics, temporal patterns, neuromuscular activity, pacing and kinetics in elite breaststroke swimming: A systematic review. Sports Medicine-Open, 8(1), Article 75. [CrossRef]
• Olstad, B. H., Wathne, H., & Gonjo, T. (2020). Key factors related to short course 100 m breaststroke performance. International Journal of Environmental Research and Public Health, 17(17), Article 6257. [CrossRef]
• Özüak, A. (2023). Teknikleri ile hızlı yüzme. İstanbul Tıp Kitabevi.
• Pérez-Tejero, J., Veiga, S., Almena, A., Navandar, A., & Navarro, E. (2017). Effect of functional classification on the swimming race segments during the 2012 London Paralympic Games. International Journal of Performance Analysis in Sport, 17(4), 406-417. [CrossRef]
• Ruiz-Navarro, J. J., Santos, C. C., Born, D. P., López-Belmonte, Ó., Cuenca-Fernández, F., Sanders, R. H., & Arellano, R. (2025). Factors relating to sprint swimming performance: A systematic review. Sports Medicine, 55, 899-922. [CrossRef]
• Santos, C. C., Marinho, D. A., Neiva, H. P., & Costa, M. J. (2024). Propulsive forces in human competitive swimming: A systematic review on direct assessment methods: Propulsive forces in competitive swimming. Sports Biomechanics, 23(10), 1263-1283. [CrossRef]
• Seifert, L., & Carmigniani, R. (2023). Coordination and stroking parameters in the four swimming techniques: A narrative review. Sports Biomechanics, 22(12), 1617-1633. [CrossRef]
• Seifert, L., Chollet, D., & Bardy, B. G. (2007a). Effect of swimming velocity on arm coordination in the front crawl: a dynamic analysis. Journal of Sports Sciences, 25(14), 651-660. [CrossRef]
• Seifert, L., Chollet, D., & Rouard, A. (2007b). Swimming constraints and arm coordination. Human Movement Science, 26(1), 68–86. [CrossRef]
• Seifert, L., Komar, J., Barbosa, T., Toussaint, H., Millet, G., & Davids, K. (2014). Coordination pattern variability provides functional adaptations to constraints in swimming performance. Sports Medicine, 44, 1333-1345. [CrossRef]
• Şenel, Ö., & Baykal, C. (2017). 11-12 yaş yüzücülerde kulaç oranı ve kulaç uzunluğunun bazı antropometrik özelliklerle ilişkisi [The relationship between stroke-rate, stroke-length and some anthropometric features in 11 - 12 year old swimmers]. International Journal of Human Sciences, 14(4), 4077-4087.
• Şimşek, H. B. (2024). 11-12 yaş erkek yüzücülerin 50 metre serbest yarışında kol sayısı ve sıklığının yüzme süresi ile ilişkisi. [Unpublished master dissertation]. Marmara University.
• Takagi, H., Nakashima, M., Sengoku, Y., Tsunokawa, T., Koga, D., Narita, K., Kudo, S., Sanders, R., & Gonjo, T. (2023). How do swimmers control their front crawl swimming velocity? Current knowledge and gaps from hydrodynamic perspectives. Sports Biomechanics, 22(12), 1552-1571. [CrossRef]
• Zamparo, P., Cortesi, M., & Gatta, G. (2020). The energy cost of swimming and its determinants. European Journal of Applied Physiology, 120(1), 41-66. [CrossRef]