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A Systematic Method to Detect the Metabolic Threshold from Gas Exchange during Incremental Exercise

机译:从增量运动过程中气体交换检测代谢阈值的系统方法

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摘要

Incremental exercise consists of three domains of exercise intensity demarcated by two thresholds. The first of these thresholds, derived from gas exchange measurements, is defined as the metabolic threshold (V̇O2θ) above which lactate accumulates. Correctly and reliably identified, V̇O2θ is a non-invasive, sub-maximal marker of aerobic function with practical value. This investigation compared variability in selection of V̇O2θ among interpreters with different levels of experience as well as from auto-detection algorithms employed by a commercially available metabolic cart (MC). Ten healthy young men performed three replicates of incremental cycle exercise during which gas exchange measurements were collected breath-by-breath. Two experienced interpreters (E) and four novice interpreters (N) determined V̇O2θ from plots of specific response variables. Interpreters noted methods used and confidence in their selections. V̇O2θ was automatically determined by the MC. Interclass correlations indicated that E agreed with each other (mean difference, 21 mL·min-1) and with the MC (23 mL·min-1), but not with N (-664 to 364 mL·min-1); N did not agree among themselves. Despite good overall agreement between E and MC, differences >500 mL·min-1 were seen in 50% of individual cases. N expressed unduly higher confidence and used different V̇O2θ selection strategies compared with E. Experience and use of a systematic approach is essential for correctly identifying V̇O2θ. Current guidelines for exercise testing and interpretation do not include recommendations for such an approach. Data from this study suggests that this may be a serious shortcoming. Until an alternative schema for V̇O2θ detection is developed prospectively, strategies based on the present study will give practitioners a systematic and consistent approach to threshold detection.Key points class="unordered" style="list-style-type:disc">Experience and use of a systematic approach is essential for correctly identifying the metabolic threshold (V̇O2θ).Current guidelines for exercise testing and interpretation do not include recommendations for such an approach.Until an alternative schema for V̇O2θ detection is developed prospectively, strategies based on the present study will give practitioners a systematic and consistent approach to threshold detection.
机译:递增运动由三个阈值划分的三个运动强度域组成。这些阈值中的第一个阈值是根据气体交换测量得出的,该阈值定义为代谢阈值(VaboveO2θ),高于该阈值时,乳酸会累积。正确可靠地识别出V̇O2θ是有氧功能的无创,次最大标记,具有实用价值。这项研究比较了具有不同经验水平的口译员以及市售代谢推车(MC)所采用的自动检测算法在选择V̇O2θ时的变异性。十名健康的年轻人进行了三组递增循环运动,在此过程中,每次呼吸都采集了气体交换测量值。两名经验丰富的口译员(E)和四名新手口译员(N)根据特定响应变量的图确定了V̇O2θ。口译员注意到所使用的方法以及对其选择的信心。 V̇O2θ由MC自动确定。类间相关性表明,E彼此一致(平均差异为21 mL·min -1 ),与MC一致(23 mL·min -1 ),但与N(-664至364 mL·min -1 ); N彼此不同意。尽管E和MC之间有很好的总体一致性,但在50%的个体病例中差异> 500 mL·min -1 。 N与E相比,表达了过高的置信度,并且使用了不同的V̇O2θ选择策略。经验和系统地使用方法对于正确识别V̇O2θ至关重要。当前的运动测试和解释指南不包括针对这种方法的建议。这项研究的数据表明,这可能是一个严重的缺陷。在前瞻性地开发出用于V̇O2θ检测的替代方案之前,基于本研究的策略将为从业人员提供一种系统且一致的阈值检测方法。关键点 class =“ unordered” style =“ list-style-type:disc”> <!-列表行为=无序前缀词=标记类型=光盘最大标签大小= 0-> 经验和使用系统的方法对于正确识别代谢阈值(V̇O2θ)是必不可少的。 当前的运动测试和解释指南不包括针对这种方法的建议。 在前瞻性开发出替代的V̇O2θ检测方案之前,基于本研究的策略将为从业者提供一种系统且一致的阈值检测方法。

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