A new technique to analyse threshold-intensities based on time dependent change-points in the ratio of minute ventilation and end-tidal partial pressure of carbon-dioxide production
| Autor: | Gorkem Aybars Balci, Engin Yildiztepe, Ozgur Ozkaya, Hakan As |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Adult
Male Pulmonary and Respiratory Medicine Anaerobic Threshold Physiology Performance Carbon dioxide production Respiratory compensation Incremental Exercise Change-point detection Young Adult Ventilatory threshold V-Slope Statistics Gas exchange Humans Gas-Exchange Threshold Pulmonary Gas Exchange General Neuroscience Partial pressure Carbon Dioxide End tidal Binary segmentation Athletes Respiratory Compensation Point Change points Respiratory Potassium Lactate Muscle Oxygen-Uptake Pulmonary Ventilation Respiratory minute volume |
| Popis: | The aim of this study was to test the utility and effectiveness of an alternative computational approach to threshold-intensities based on time dependent change-points in minute ventilation divided by end-tidal partial pressure of CO2 (V-E/PETCO2) to reveal whether respiratory compensation point (RCP) is a third ventilatory threshold, or not. Ten recreationally active young adults and ten well-trained athletes volunteered to take part in this study. Following incremental ramp tests, gas exchange threshold (GET) and respiratory compensation point (RCP) were respectively evaluated by the slopes of VCO2-VO2 and VE-VCO2 using the Innocor system automatically. Respiratory threshold (RT) was analysed based on time dependent change-points in the VE/PETCO2 using binary segmentation algorithm. Additionally, those intersections were analysed independently by two experienced investigators using a visual identification technique in a double-blind design. According to the results, in the recreationally active group, there were the first (GET(1)) and the second (GET(2)) gas exchange thresholds which were identical with the RT1 (139 W; 1.9 L.(-1) of VO2; 1.73 L.(-1) of VCO2; 49.9 L.(-1) of VE versus 139 W; 1.88 L.(-1); 1.7 L.(-1); 49 L.(-)1(,) respectively) and RT2 (186 W; 2.39 L.(-1) of VO2; 2.44 L.(-1) of VCO2; 66 L.(-1) of VE versus 187 W; 2.41 L.(-1); 2.49 L.(-1); 65.7 L.(-1), respectively). However, there were three threshold intensities which were determined by GET1, GET2, and RCP in well-trained athletes. Additionally, RT1, RT2, and RT3 were determined as valid surrogates of the GET1 (194 W; 2.56 L.(-1) of VO2; 1.99 L.-1 of VCO2; 57.5 L.(-1) of VE versus 192 W; 2.61 L.(-1); 1.99 L-1; 57.7 L.(-1), respectively), GET2 (267 W; 3.6 L.(-1) of VO2; 3.29 L.(-1) of VCO2; 94.5 L.(-1) of VE versus 266 W; 3.58 L.(-1); 3.26 L.(-1); 93.4 L.-1, respectively), and RCP (324 W; 4.05 L.(-1) of VO2; 4.13 L.(-1) of VCO2; 124 L.-1 of VE versus 322 W; 4.02 L.(-1); 4.07 L.(-1); 122 L.(-1), respectively) in well-trained athletes. There were high levels of agreements between the power outputs determined by traditional techniques and newly proposed change-points in RT. All markers were strongly correlated (p < 0.001). It was shown that RT technique can provide an accurate threshold determination. Furthermore, the RCP was observed as a third threshold-intensity for well-trained athletes but not for recreationally active young adults. Ege University [17.BESYO.002] The authors thank the support of coaches, athletes, and all those who were involved in this study. The experiment complies with the current laws of the country in which they were performed. This work was supported by the Ege University, scientific research projects fund under grant (17.BESYO.002) . The authors do not have any conflict of interest. |
| Databáze: | OpenAIRE |
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