Suppr超能文献

回归模型和最终速度标准对耐力训练跑者通过Dmax法测定乳酸阈可靠性的影响。

The influence of the regression model and final speed criteria on the reliability of lactate threshold determined by the Dmax method in endurance-trained runners.

作者信息

Camargo Alves Júlio César, Segabinazi Peserico Cecília, Nogueira Geraldo Angelo, Machado Fabiana Andrade

机构信息

a Center of Biological and Health Sciences, Federal University of Rio de Janeiro, Av. Pedro Calmon, 550 - Cidade Universitária, Rio de Janeiro - RJ, Brazil.

b State University of Maringá, Brazil; Av. Colombo, 5790, 87020-900 Maringá-PR, Brazil.

出版信息

Appl Physiol Nutr Metab. 2016 Oct;41(10):1039-1044. doi: 10.1139/apnm-2016-0075. Epub 2016 Jun 9.

Abstract

Few studies verified the reliability of the lactate threshold determined by Dmax method (LT) in runners and it remains unclear the effect of the regression model and the final speed on the reliability of LT. This study aimed to examine the test-retest reliability of the speed at LT in runners, considering the effects of the regression models (exponential-plus-constant vs third-order polynomial) and final speed criteria (complete vs proportional). Seventeen male, recreational runners performed 2 identical incremental exercise tests, with increments of 1 km·h each for 3 min on treadmill to determine peak treadmill speed (V) and lactate threshold. Earlobe capillary blood samples were collected during rest between the stages. The V was defined as the speed of the last complete stage (complete final speed criterion) and as the speed of the last complete stage added to the fraction of the incomplete stage (proportional final speed criterion). Lactate threshold was determined from exponential-plus-constant and from third-order polynomial regression models with both complete and proportional final speed criteria and from fixed blood lactate level of 3.5 mmol·L (LT). The LT obtained from the exponential-plus-constant regression model presented higher reliability (coefficient of variation (CV) ≤ 3.7%) than the LT calculated from the third-order polynomial regression model (CV ≤ 5.8%) and LT (CV = 5.4%). The proportional final speed criterion is more appropriate when using the exponential-plus-constant regression model, but less appropriate when using the third-order polynomial regression model. In conclusion, exponential-plus-constant using the proportional final speed criterion is preferred over LT and over third-order polynomial regression model to determine a reliable LT.

摘要

很少有研究验证Dmax法(LT)测定的乳酸阈在跑步者中的可靠性,而且回归模型和最终速度对乳酸阈可靠性的影响仍不明确。本研究旨在探讨跑步者乳酸阈速度的重测可靠性,同时考虑回归模型(指数加常数模型与三阶多项式模型)和最终速度标准(完整标准与比例标准)的影响。17名男性业余跑步者进行了2次相同的递增运动测试,在跑步机上以每3分钟1 km·h的增量进行测试,以确定跑步机峰值速度(V)和乳酸阈。在各阶段之间的休息期采集耳垂毛细血管血样。V被定义为最后一个完整阶段的速度(完整最终速度标准),以及最后一个完整阶段的速度加上不完整阶段的分数(比例最终速度标准)。乳酸阈通过指数加常数模型和三阶多项式回归模型,分别采用完整和比例最终速度标准,以及固定血乳酸水平3.5 mmol·L(LT)来确定。与从三阶多项式回归模型计算的乳酸阈(变异系数(CV)≤5.8%)和LT(CV = 5.4%)相比,从指数加常数回归模型获得的乳酸阈具有更高的可靠性(CV≤3.7%)。在使用指数加常数回归模型时,比例最终速度标准更合适,但在使用三阶多项式回归模型时则不太合适。总之,在确定可靠的乳酸阈时,使用比例最终速度标准的指数加常数模型优于LT和三阶多项式回归模型。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验