Sterner Danielle A, Stout Jeffrey R, Antonio Brandi B, Anderson Abigail T, Fukuda David H
Physiology of Work and Exercise Response (POWER) Lab, Institute of Exercise Physiology and Rehabilitation Science, College of Health Professions and Sciences, University of Central Florida, 12805 Pegasus Drive, Orlando, FL, 32816, USA.
Rehabilitation and Modulation of Pain (RAMP) Lab, Institute of Exercise Physiology and Rehabilitation Science, College of Health Professions and Sciences, University of Central Florida, 12805 Pegasus Drive, Orlando, FL, 32816, USA.
Eur J Appl Physiol. 2025 Jan;125(1):197-207. doi: 10.1007/s00421-024-05583-3. Epub 2024 Aug 20.
This study aimed to establish a new threshold parameter called the physical working capacity at pain intensity threshold (PWC) using a pain intensity scale and mathematical methods similar to those used to develop the physical working capacity at oxygen consumption threshold (PWC) and physical working capacity at heart rate threshold (PWC). The study had two objectives: (i) to examine the relationship between PWC and traditional PWC measures and (ii) to explore the physiological mechanisms underlying the relationship between pain perception and capacity thresholds.
Fourteen male volunteers (age 21 ± 2 years, height 176 ± 6 cm, weight 76 ± 9 kg, VO 37.8 ± 7.8 ml/kg/min) underwent an incremental exhaustion test and four 8-min randomly ordered work bouts on different days at 70-100% peak power output (119-320 W) to establish their PWC, PWC and PWC. One-way repeated-measures ANOVA with Bonferroni post hoc tests and a zero-order correlation matrix were used to analyze these thresholds.
PWC significantly correlated with PWC (r = 0.88, P < 0.001), PWC (r = 0.84, P < 0.001), and gas exchange threshold (GET) (r = 0.7, P = 0.006).
The model for estimating PWC and PWC can be applied to determine the PWC. By examining how PWC aligns with, differs from, or complements existing PWC threshold measures, researchers may provide a more comprehensive understanding of the factors that govern endurance performance.
本研究旨在使用疼痛强度量表和类似于用于制定耗氧量阈值时的身体工作能力（PWC）以及心率阈值时的身体工作能力（PWC）的数学方法，建立一个名为疼痛强度阈值时的身体工作能力（PWC）的新阈值参数。该研究有两个目标：（i）研究PWC与传统PWC测量值之间的关系；（ii）探索疼痛感知与能力阈值之间关系的生理机制。
14名男性志愿者（年龄21±2岁，身高176±6厘米，体重76±9千克，VO 37.8±7.8毫升/千克/分钟）进行了递增性疲劳试验，并在不同日期以70 - 100%的峰值功率输出（119 - 320瓦）进行了四次8分钟随机排序的工作回合，以确定他们的PWC、PWC和PWC。使用带有Bonferroni事后检验的单向重复测量方差分析和零阶相关矩阵来分析这些阈值。
PWC与PWC显著相关（r = 0.88，P < 0.001）、PWC（r = 0.84，P < 0.001）以及气体交换阈值（GET）（r = 0.7，P = 0.006）。
用于估计PWC和PWC的模型可应用于确定PWC。通过研究PWC如何与现有的PWC阈值测量值一致、不同或互补，研究人员可以更全面地理解影响耐力表现的因素。
