{"title":"赛艇性能的能量参数:2028年洛杉矶奥运会赛艇距离的变化会影响赛艇性能吗?","authors":"Alice Boillet,Laurent A Messonnier,Caroline Cohen","doi":"10.1249/mss.0000000000003759","DOIUrl":null,"url":null,"abstract":"PURPOSE\r\nThe study aimed to model rowing in a single scull, considering individual physiological characteristics of rowers, to determine the optimal pacing strategy over 2000 m (current Olympic distance) and 1500 m (future Olympic distance for 2028), as well as the sensitivity of performance to specific physiological factors at these distances.\r\n\r\nMETHODS\r\nA validated mechanical model of rowing was coupled with an athlete-specific physiological model (digital twin) to determine optimal pacing strategies for two model athletes (a female and a male rower). Energy production was analyzed using both oxidative (O2,peak) and non-oxidative (Enon - ox) sources, using numerical and analytical approaches.\r\n\r\nRESULTS\r\nFor the 2000 m distance, the optimal pacing strategy involved a gradual deceleration over the first 1500 m, followed by a final sprint over the last 500 m, similar to current observed trends. For the 1500 m distance, the optimal pacing strategy lacked this final sprint. Reducing the distance increased the proportion of non-oxidative energy by 5%. Sensitivity of performance to O2,peak was consistent across both distances, showing a 1% performance gain for every 3% increase in O2,peak. In contrast, the sensitivity of Enon - ox increased as distance decreased (a 1% performance gain requiring an 11% increase for 2000 m vs. a 13% increase for 1500 m in non-oxidative capacity).\r\n\r\nCONCLUSIONS\r\nOptimal pacing strategies differ between 2000 m and 1500 m, with the latter requiring a less even pace with a faster start and without a final sprint. Sensitivity to O2,peak is consistently higher than that of Enon - ox at both distances, highlighting the critical role of oxidative capacity in rowing performance.","PeriodicalId":18500,"journal":{"name":"Medicine & Science in Sports & Exercise","volume":"15 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Energetic Parameters of Rowing Performance: Will the Distance Change in the 2028 Los Angeles Olympic Games Matter?\",\"authors\":\"Alice Boillet,Laurent A Messonnier,Caroline Cohen\",\"doi\":\"10.1249/mss.0000000000003759\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PURPOSE\\r\\nThe study aimed to model rowing in a single scull, considering individual physiological characteristics of rowers, to determine the optimal pacing strategy over 2000 m (current Olympic distance) and 1500 m (future Olympic distance for 2028), as well as the sensitivity of performance to specific physiological factors at these distances.\\r\\n\\r\\nMETHODS\\r\\nA validated mechanical model of rowing was coupled with an athlete-specific physiological model (digital twin) to determine optimal pacing strategies for two model athletes (a female and a male rower). Energy production was analyzed using both oxidative (O2,peak) and non-oxidative (Enon - ox) sources, using numerical and analytical approaches.\\r\\n\\r\\nRESULTS\\r\\nFor the 2000 m distance, the optimal pacing strategy involved a gradual deceleration over the first 1500 m, followed by a final sprint over the last 500 m, similar to current observed trends. For the 1500 m distance, the optimal pacing strategy lacked this final sprint. Reducing the distance increased the proportion of non-oxidative energy by 5%. Sensitivity of performance to O2,peak was consistent across both distances, showing a 1% performance gain for every 3% increase in O2,peak. In contrast, the sensitivity of Enon - ox increased as distance decreased (a 1% performance gain requiring an 11% increase for 2000 m vs. a 13% increase for 1500 m in non-oxidative capacity).\\r\\n\\r\\nCONCLUSIONS\\r\\nOptimal pacing strategies differ between 2000 m and 1500 m, with the latter requiring a less even pace with a faster start and without a final sprint. Sensitivity to O2,peak is consistently higher than that of Enon - ox at both distances, highlighting the critical role of oxidative capacity in rowing performance.\",\"PeriodicalId\":18500,\"journal\":{\"name\":\"Medicine & Science in Sports & Exercise\",\"volume\":\"15 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Medicine & Science in Sports & Exercise\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1249/mss.0000000000003759\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medicine & Science in Sports & Exercise","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1249/mss.0000000000003759","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energetic Parameters of Rowing Performance: Will the Distance Change in the 2028 Los Angeles Olympic Games Matter?
PURPOSE
The study aimed to model rowing in a single scull, considering individual physiological characteristics of rowers, to determine the optimal pacing strategy over 2000 m (current Olympic distance) and 1500 m (future Olympic distance for 2028), as well as the sensitivity of performance to specific physiological factors at these distances.
METHODS
A validated mechanical model of rowing was coupled with an athlete-specific physiological model (digital twin) to determine optimal pacing strategies for two model athletes (a female and a male rower). Energy production was analyzed using both oxidative (O2,peak) and non-oxidative (Enon - ox) sources, using numerical and analytical approaches.
RESULTS
For the 2000 m distance, the optimal pacing strategy involved a gradual deceleration over the first 1500 m, followed by a final sprint over the last 500 m, similar to current observed trends. For the 1500 m distance, the optimal pacing strategy lacked this final sprint. Reducing the distance increased the proportion of non-oxidative energy by 5%. Sensitivity of performance to O2,peak was consistent across both distances, showing a 1% performance gain for every 3% increase in O2,peak. In contrast, the sensitivity of Enon - ox increased as distance decreased (a 1% performance gain requiring an 11% increase for 2000 m vs. a 13% increase for 1500 m in non-oxidative capacity).
CONCLUSIONS
Optimal pacing strategies differ between 2000 m and 1500 m, with the latter requiring a less even pace with a faster start and without a final sprint. Sensitivity to O2,peak is consistently higher than that of Enon - ox at both distances, highlighting the critical role of oxidative capacity in rowing performance.