{"title":"10公里公开水域游泳比赛临界游泳速度评价","authors":"Yasunori Fujito, Tomomi Fujimoto, Reira Hara, Ryuhei Yoshida, Kazuo Funato","doi":"10.3390/jfmk10030302","DOIUrl":null,"url":null,"abstract":"<p><p><b>Background</b>: Estimating race times for open-water swimming based on pool swimming times could be useful for talent identification and training optimisation. We aimed to compare the swimming speeds of the world's top and other swimmers in the 2023 Aquatics Championship men's 10 km OWS race. <b>Methods</b>: Sixty-five swimmers were divided into four groups: G1 (1st-10th positions), G2 (11st-30th positions), G3 (31st-47th positions), and G4 (48th-65th positions). Swimming speed, stroke frequency (SF), and stroke length (SL) for each lap (laps 1-6) were recorded. Critical speed (CS) was calculated from each participant's personal best times in the 400, 800, and 1500 m freestyle events in the pool. Swimming speed against CS was calculated (%CS). <b>Results</b>: The top performance group (G1) maintained their swimming speed from beginning (lap 1, 1.53 m/s) to end (lap 6, 1.50 m/s), at 92.7 ± 1.9% of CS, characterised by longer SL (1.26 m) and lower SF (72.86 rpm). G3 and G4 were unable to maintain their swimming speed, which decreased from G3: 97.64 ± 1.62% and G4: 96.10 ± 1.96% of CS at lap 1 to G3: 88.39 ± 3.78% and G4: 85.13 ± 5.04% at lap 6. This reduction in swimming speed is consistent with the increased reliance on anaerobic metabolism reported in previous studies under similar conditions. <b>Conclusions</b>: Race pacing for maintaining speeds of 92%CS throughout the race could be an important resilient index in open-water swimming. %CS might be a useful index for estimating the athletic performance level in open-water swimming.</p>","PeriodicalId":16052,"journal":{"name":"Journal of Functional Morphology and Kinesiology","volume":"10 3","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2025-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12371947/pdf/","citationCount":"0","resultStr":"{\"title\":\"Evaluation of Race Pace Using Critical Swimming Speed During 10 km Open-Water Swimming Competition.\",\"authors\":\"Yasunori Fujito, Tomomi Fujimoto, Reira Hara, Ryuhei Yoshida, Kazuo Funato\",\"doi\":\"10.3390/jfmk10030302\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Background</b>: Estimating race times for open-water swimming based on pool swimming times could be useful for talent identification and training optimisation. We aimed to compare the swimming speeds of the world's top and other swimmers in the 2023 Aquatics Championship men's 10 km OWS race. <b>Methods</b>: Sixty-five swimmers were divided into four groups: G1 (1st-10th positions), G2 (11st-30th positions), G3 (31st-47th positions), and G4 (48th-65th positions). Swimming speed, stroke frequency (SF), and stroke length (SL) for each lap (laps 1-6) were recorded. Critical speed (CS) was calculated from each participant's personal best times in the 400, 800, and 1500 m freestyle events in the pool. Swimming speed against CS was calculated (%CS). <b>Results</b>: The top performance group (G1) maintained their swimming speed from beginning (lap 1, 1.53 m/s) to end (lap 6, 1.50 m/s), at 92.7 ± 1.9% of CS, characterised by longer SL (1.26 m) and lower SF (72.86 rpm). G3 and G4 were unable to maintain their swimming speed, which decreased from G3: 97.64 ± 1.62% and G4: 96.10 ± 1.96% of CS at lap 1 to G3: 88.39 ± 3.78% and G4: 85.13 ± 5.04% at lap 6. This reduction in swimming speed is consistent with the increased reliance on anaerobic metabolism reported in previous studies under similar conditions. <b>Conclusions</b>: Race pacing for maintaining speeds of 92%CS throughout the race could be an important resilient index in open-water swimming. %CS might be a useful index for estimating the athletic performance level in open-water swimming.</p>\",\"PeriodicalId\":16052,\"journal\":{\"name\":\"Journal of Functional Morphology and Kinesiology\",\"volume\":\"10 3\",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12371947/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Functional Morphology and Kinesiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/jfmk10030302\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SPORT SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Functional Morphology and Kinesiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/jfmk10030302","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
Evaluation of Race Pace Using Critical Swimming Speed During 10 km Open-Water Swimming Competition.
Background: Estimating race times for open-water swimming based on pool swimming times could be useful for talent identification and training optimisation. We aimed to compare the swimming speeds of the world's top and other swimmers in the 2023 Aquatics Championship men's 10 km OWS race. Methods: Sixty-five swimmers were divided into four groups: G1 (1st-10th positions), G2 (11st-30th positions), G3 (31st-47th positions), and G4 (48th-65th positions). Swimming speed, stroke frequency (SF), and stroke length (SL) for each lap (laps 1-6) were recorded. Critical speed (CS) was calculated from each participant's personal best times in the 400, 800, and 1500 m freestyle events in the pool. Swimming speed against CS was calculated (%CS). Results: The top performance group (G1) maintained their swimming speed from beginning (lap 1, 1.53 m/s) to end (lap 6, 1.50 m/s), at 92.7 ± 1.9% of CS, characterised by longer SL (1.26 m) and lower SF (72.86 rpm). G3 and G4 were unable to maintain their swimming speed, which decreased from G3: 97.64 ± 1.62% and G4: 96.10 ± 1.96% of CS at lap 1 to G3: 88.39 ± 3.78% and G4: 85.13 ± 5.04% at lap 6. This reduction in swimming speed is consistent with the increased reliance on anaerobic metabolism reported in previous studies under similar conditions. Conclusions: Race pacing for maintaining speeds of 92%CS throughout the race could be an important resilient index in open-water swimming. %CS might be a useful index for estimating the athletic performance level in open-water swimming.