A proposed test to determine physical working capacity at pain intensity threshold (PWCPIT).

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-08-20 DOI:10.1007/s00421-024-05583-3
Danielle A Sterner, Jeffrey R Stout, Brandi B Antonio, Abigail T Anderson, David H Fukuda
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Abstract

Purpose: This study aimed to establish a new threshold parameter called the physical working capacity at pain intensity threshold (PWCPIT) using a pain intensity scale and mathematical methods similar to those used to develop the physical working capacity at oxygen consumption threshold (PWCVO2) and physical working capacity at heart rate threshold (PWCHRT). The study had two objectives: (i) to examine the relationship between PWCPIT and traditional PWC measures and (ii) to explore the physiological mechanisms underlying the relationship between pain perception and capacity thresholds.

Methods: Fourteen male volunteers (age 21 ± 2 years, height 176 ± 6 cm, weight 76 ± 9 kg, VO2peak 37.8 ± 7.8 ml/kg/min-1) 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 PWCPIT, PWCHRT and PWCVO2. One-way repeated-measures ANOVA with Bonferroni post hoc tests and a zero-order correlation matrix were used to analyze these thresholds.

Results: PWCPIT significantly correlated with PWCHRT (r = 0.88, P < 0.001), PWCVO2 (r = 0.84, P < 0.001), and gas exchange threshold (GET) (r = 0.7, P = 0.006).

Conclusion: The model for estimating PWCHRT and PWCVO2 can be applied to determine the PWCPIT. By examining how PWCPIT aligns with, differs from, or complements existing PWC threshold measures, researchers may provide a more comprehensive understanding of the factors that govern endurance performance.

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建议采用疼痛强度阈值体力工作能力(PWCPIT)测试。
目的:本研究旨在使用疼痛强度量表和数学方法,建立一个新的阈值参数,即疼痛强度阈值体力工作能力(PWCPIT),该方法与开发耗氧量阈值体力工作能力(PWCVO2)和心率阈值体力工作能力(PWCHRT)的方法类似。研究有两个目的:(i) 检验 PWCPIT 与传统的 PWC 测量之间的关系;(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,VO2峰值37.8±7.8毫升/千克/分钟-1)在不同的日期接受了增量耗竭测试和4次8分钟随机排序工作,峰值功率输出为70-100%(119-320瓦),以确定他们的PWCPIT、PWCHRT和PWCVO2。采用单向重复测量方差分析、Bonferroni事后检验和零阶相关矩阵来分析这些阈值:结果:PWCPIT 与 PWCHRT 有明显相关性(r = 0.88,P VO2(r = 0.84,P 结论:PWCPIT 与 PWCHRT 有明显相关性(r = 0.88,P VO2):估计 PWCHRT 和 PWCVO2 的模型可用于确定 PWCPIT。通过研究 PWCPIT 与现有 PWC 临界值测量方法的一致性、差异性或互补性,研究人员可以更全面地了解影响耐力表现的因素。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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