Training zones through muscle oxygen saturation during a graded exercise test in cyclists and triathletes
Use of muscle oxygen saturation (SmO2) has been validated as a performance factor during incremental exercise with portable near-infrared stereoscopy (NIRS) technology. However, there is little knowledge about the use of SmO2 to identify training zones. The objective of this study was to evaluate...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Termedia Publishing House
2022-06-01
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| Series: | Biology of Sport |
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| Online Access: | https://www.termedia.pl/Training-zones-through-muscle-oxygen-saturation-during-a-graded-exercise-test-in-cyclists-and-triathletes,78,46549,1,1.html |
| _version_ | 1797842704608002048 |
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| author | Aldo Vasquez Bonilla Adrián González-Custodio Rafael Timón Alba Cardenosa Marta Camacho-Cardenosa Guillermo Olcina |
| author_facet | Aldo Vasquez Bonilla Adrián González-Custodio Rafael Timón Alba Cardenosa Marta Camacho-Cardenosa Guillermo Olcina |
| author_sort | Aldo Vasquez Bonilla |
| collection | DOAJ |
| description | Use of muscle oxygen saturation (SmO2) has been validated as a performance factor during incremental exercise with portable near-infrared stereoscopy (NIRS) technology. However, there is little knowledge about the use of SmO2 to identify training zones. The objective of this study was to evaluate the metabolic zones by SmO2: maximum lipid oxidation zone (Fatmax), ventilatory thresholds (VT1 and VT2) and maximum aerobic power (MAP) during a graded exercise test (GXT). Forty trained cyclists and triathletes performed a GXT. Output power (W), heart rate (HR), oxygen consumption (VO2), energy expenditure (kcal/min) and SmO2 were measured. Data were analysed using the ANOVA test, ROC curves and multiple linear regressions. Significance was established at p ≤ 0.05. SmO2 decreases were observed from baseline (LB) to Fatmax (Δ = -16% p < 0.05), Fatmax to VT1 (Δ = -16% p < 0.05) and VT1 to VT2 (Δ = -45% p < 0.01). Furthermore, SmO2 together with weight, HR and output power have the ability to predict VO2 and energy expenditure by 89% and 90%, respectively. We conclude that VO2 and energy expenditure values can be approximated using SmO2 together with other physiological parameters and SmO2 measurements can be a complementary parameter to discriminate aerobic workload and anaerobic workload in athletes. |
| first_indexed | 2024-04-09T16:52:21Z |
| format | Article |
| id | doaj.art-5de5e9d8ae9b4ba5b90a002ef3970b5c |
| institution | Directory Open Access Journal |
| issn | 0860-021X 2083-1862 |
| language | English |
| last_indexed | 2024-04-09T16:52:21Z |
| publishDate | 2022-06-01 |
| publisher | Termedia Publishing House |
| record_format | Article |
| series | Biology of Sport |
| spelling | doaj.art-5de5e9d8ae9b4ba5b90a002ef3970b5c2023-04-21T09:42:13ZengTermedia Publishing HouseBiology of Sport0860-021X2083-18622022-06-0140243944810.5114/biolsport.2023.11428846549Training zones through muscle oxygen saturation during a graded exercise test in cyclists and triathletesAldo Vasquez BonillaAdrián González-CustodioRafael TimónAlba CardenosaMarta Camacho-CardenosaGuillermo OlcinaUse of muscle oxygen saturation (SmO2) has been validated as a performance factor during incremental exercise with portable near-infrared stereoscopy (NIRS) technology. However, there is little knowledge about the use of SmO2 to identify training zones. The objective of this study was to evaluate the metabolic zones by SmO2: maximum lipid oxidation zone (Fatmax), ventilatory thresholds (VT1 and VT2) and maximum aerobic power (MAP) during a graded exercise test (GXT). Forty trained cyclists and triathletes performed a GXT. Output power (W), heart rate (HR), oxygen consumption (VO2), energy expenditure (kcal/min) and SmO2 were measured. Data were analysed using the ANOVA test, ROC curves and multiple linear regressions. Significance was established at p ≤ 0.05. SmO2 decreases were observed from baseline (LB) to Fatmax (Δ = -16% p < 0.05), Fatmax to VT1 (Δ = -16% p < 0.05) and VT1 to VT2 (Δ = -45% p < 0.01). Furthermore, SmO2 together with weight, HR and output power have the ability to predict VO2 and energy expenditure by 89% and 90%, respectively. We conclude that VO2 and energy expenditure values can be approximated using SmO2 together with other physiological parameters and SmO2 measurements can be a complementary parameter to discriminate aerobic workload and anaerobic workload in athletes.https://www.termedia.pl/Training-zones-through-muscle-oxygen-saturation-during-a-graded-exercise-test-in-cyclists-and-triathletes,78,46549,1,1.htmlnear-infrared spectroscopy muscle oxygenation fatmax oxygen consumption performance cycling |
| spellingShingle | Aldo Vasquez Bonilla Adrián González-Custodio Rafael Timón Alba Cardenosa Marta Camacho-Cardenosa Guillermo Olcina Training zones through muscle oxygen saturation during a graded exercise test in cyclists and triathletes Biology of Sport near-infrared spectroscopy muscle oxygenation fatmax oxygen consumption performance cycling |
| title | Training zones through muscle oxygen saturation during a graded exercise test in cyclists and triathletes |
| title_full | Training zones through muscle oxygen saturation during a graded exercise test in cyclists and triathletes |
| title_fullStr | Training zones through muscle oxygen saturation during a graded exercise test in cyclists and triathletes |
| title_full_unstemmed | Training zones through muscle oxygen saturation during a graded exercise test in cyclists and triathletes |
| title_short | Training zones through muscle oxygen saturation during a graded exercise test in cyclists and triathletes |
| title_sort | training zones through muscle oxygen saturation during a graded exercise test in cyclists and triathletes |
| topic | near-infrared spectroscopy muscle oxygenation fatmax oxygen consumption performance cycling |
| url | https://www.termedia.pl/Training-zones-through-muscle-oxygen-saturation-during-a-graded-exercise-test-in-cyclists-and-triathletes,78,46549,1,1.html |
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