共 77 条
Identification of Non-Invasive Exercise Thresholds: Methods, Strategies, and an Online App
被引:100
作者:
Keir, Daniel A.
[1
,2
]
Iannetta, Danilo
[3
]
Mattioni Maturana, Felipe
[4
]
Kowalchuk, John M.
[1
,5
]
Murias, Juan M.
[3
]
机构:
[1] Univ Western Ontario, Sch Kinesiol, AHB 3G18,1151 Richmond St, London, ON N6A 3K7, Canada
[2] Toronto Gen Hosp, Toronto Gen Res Inst, Toronto, ON, Canada
[3] Univ Calgary, Fac Kinesiol, Calgary, AB, Canada
[4] Univ Tubingen, Dept Sports Med, Baden Wurttemberg, Germany
[5] Univ Western Ontario, Dept Physiol & Pharmacol, London, ON, Canada
基金:
加拿大自然科学与工程研究理事会;
关键词:
RESPIRATORY COMPENSATION POINT;
LACTATE STEADY-STATE;
O-2 UPTAKE KINETICS;
GAS-EXCHANGE;
OXYGEN-UPTAKE;
ANAEROBIC THRESHOLD;
RAMP EXERCISE;
MUSCLE;
DYNAMICS;
DETERMINANTS;
D O I:
10.1007/s40279-021-01581-z
中图分类号:
G8 [体育];
学科分类号:
04 ;
0403 ;
摘要:
During incremental exercise, two thresholds may be identified from standard gas exchange and ventilatory measurements. The first signifies the onset of blood lactate accumulation (the lactate threshold, LT) and the second the onset of metabolic acidosis (the respiratory compensation point, RCP). The ability to explain why these thresholds occur and how they are identified, non-invasively, from pulmonary gas exchange and ventilatory variables is fundamental to the field of exercise physiology and requisite to the understanding of core concepts including exercise intensity, assessment, prescription, and performance. This review is intended as a unique and comprehensive theoretical and practical resource for instructors, clinicians, researchers, lab technicians, and students at both undergraduate and graduate levels to facilitate the teaching, comprehension, and proper non-invasive identification of exercise thresholds. Specific objectives are to: (1) explain the underlying physiology that produces the LT and RCP; (2) introduce the classic non-invasive measurements by which these thresholds are identified by connecting variable profiles to underlying physiological behaviour; (3) discuss common issues that can obscure threshold detection and strategies to identify and mitigate these challenges; and (4) introduce an online resource to facilitate learning and standard practices. Specific examples of exercise gas exchange and ventilatory data are provided throughout to illustrate these concepts and a novel online application tool designed specifically to identify the estimated LT (theta(LT)) and RCP is introduced. This application is a unique platform for learners to practice skills on real exercise data and for anyone to analyze incremental exercise data for the purpose of identifying theta(LT) and RCP.
引用
收藏
页码:237 / 255
页数:19
相关论文