Florian Micke, Sebastian Mühlenhoff, Adrian Swoboda, Steffen Held
{"title":"Comparison of alternative νLamax determination approaches in cycling and rowing.","authors":"Florian Micke, Sebastian Mühlenhoff, Adrian Swoboda, Steffen Held","doi":"10.1080/02640414.2025.2567795","DOIUrl":null,"url":null,"abstract":"<p><p>The maximal lactate accumulation rate (νLamax) offers an understanding of the athlete's maximum glycolytic power. The traditional νLamax determination requires multiple post-exercise lactate measurements, which are time-consuming and resource-intensive. Therefore, this study aimed to compare two simplified methods: a polynomial modelling approach (νLamax_Poly) and a single post-exercise lactate measurement at 5 minutes (νLamax_5min). Additionally, differences in νLamax between rowing and cycling, as well as sex-based variations, were examined. A total of 152 trained athletes performed maximal sprints on a rowing ergometer (20s) or a cycle ergometer (15s). Blood lactate was sampled at rest and every minute for 10 minutes post-exercise. Both alternative methods showed excellent agreement with the traditional approach (r = 0.99). While no bias was observed for νLamax_Poly, the νLamax_5min method exhibited a slight systematic underestimation (<i>p</i> < 0.001; MD: -0.019 ± 0.021 mmol/l/s). However, its narrower limits of agreement indicate slightly higher precision compared to νLamax_Poly. Rowers showed lower νLamax and peak lactate values than cyclists. Male participants exhibited higher νLamax, sprint power, and peak lactate than females. Overall, the findings suggest that νLamax_Poly and νLamax_5min provide valid and practical alternatives to traditional methods, facilitating wider application in research and field settings.</p>","PeriodicalId":17066,"journal":{"name":"Journal of Sports Sciences","volume":" ","pages":"1-11"},"PeriodicalIF":2.5000,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sports Sciences","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/02640414.2025.2567795","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The maximal lactate accumulation rate (νLamax) offers an understanding of the athlete's maximum glycolytic power. The traditional νLamax determination requires multiple post-exercise lactate measurements, which are time-consuming and resource-intensive. Therefore, this study aimed to compare two simplified methods: a polynomial modelling approach (νLamax_Poly) and a single post-exercise lactate measurement at 5 minutes (νLamax_5min). Additionally, differences in νLamax between rowing and cycling, as well as sex-based variations, were examined. A total of 152 trained athletes performed maximal sprints on a rowing ergometer (20s) or a cycle ergometer (15s). Blood lactate was sampled at rest and every minute for 10 minutes post-exercise. Both alternative methods showed excellent agreement with the traditional approach (r = 0.99). While no bias was observed for νLamax_Poly, the νLamax_5min method exhibited a slight systematic underestimation (p < 0.001; MD: -0.019 ± 0.021 mmol/l/s). However, its narrower limits of agreement indicate slightly higher precision compared to νLamax_Poly. Rowers showed lower νLamax and peak lactate values than cyclists. Male participants exhibited higher νLamax, sprint power, and peak lactate than females. Overall, the findings suggest that νLamax_Poly and νLamax_5min provide valid and practical alternatives to traditional methods, facilitating wider application in research and field settings.
期刊介绍:
The Journal of Sports Sciences has an international reputation for publishing articles of a high standard and is both Medline and Clarivate Analytics-listed. It publishes research on various aspects of the sports and exercise sciences, including anatomy, biochemistry, biomechanics, performance analysis, physiology, psychology, sports medicine and health, as well as coaching and talent identification, kinanthropometry and other interdisciplinary perspectives.
The emphasis of the Journal is on the human sciences, broadly defined and applied to sport and exercise. Besides experimental work in human responses to exercise, the subjects covered will include human responses to technologies such as the design of sports equipment and playing facilities, research in training, selection, performance prediction or modification, and stress reduction or manifestation. Manuscripts considered for publication include those dealing with original investigations of exercise, validation of technological innovations in sport or comprehensive reviews of topics relevant to the scientific study of sport.