| Autor: |
Jan Helgerud, Håvard Haglo, Jan Hoff |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
JMIR Cardio, Vol 6, Iss 2, p e38570 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2561-1011 |
| DOI: |
10.2196/38570 |
| Popis: |
BackgroundPhysical inactivity remains the largest risk factor for the development of cardiovascular disease worldwide. Wearable devices have become a popular method of measuring activity-based outcomes and facilitating behavior change to increase cardiorespiratory fitness (CRF) or maximal oxygen consumption (VO2max) and reduce weight. However, it is critical to determine their accuracy in measuring these variables. ObjectiveThis study aimed to determine the accuracy of using a smartphone and the application Myworkout GO for submaximal prediction of VO2max. MethodsParticipants included 162 healthy volunteers: 58 women and 104 men (17-73 years old). The study consisted of 3 experimental tests randomized to 3 separate days. One-day VO2max was assessed with Metamax II, with the participant walking or running on the treadmill. On the 2 other days, the application Myworkout GO used standardized high aerobic intensity interval training (HIIT) on the treadmill to predict VO2max. ResultsThere were no significant differences between directly measured VO2max (mean 49, SD 14 mL/kg/min) compared with the VO2max predicted by Myworkout GO (mean 50, SD 14 mL/kg/min). The direct and predicted VO2max values were highly correlated, with an R2 of 0.97 (P |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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