A RAPID AND AUTOMATED METHOD TO DETERMINE APPROPRIATE EXERCISE PARAMETERS FOR TAILORED SUBSTRATE CONSUMPTION DURING AEROBIC EXERCISE
| Autor: | P. Maietta Latessa, Leydi Natalia Vittori, David Neil Manners, Ivan Corazza, Guido Belli |
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| Přispěvatelé: | L. N. VITTORI, D. N. MANNERS, G. BELLI, I. CORAZZA, P. MAIETTA LATESSA |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
indirect calorimetry
medicine.medical_specialty business.industry Biomedical Engineering fat oxidation Overweight medicine.disease Obesity training Fat oxidation Internal medicine Heart rate Physical therapy medicine Cardiology Aerobic exercise Constant load medicine.symptom business Fat metabolism intensity Automated method Maximum rate |
| Popis: | The growing prevalence of obesity and metabolic disorders such as type II diabetes, is associated with reduced exercise and maximal fat oxidation rate (Fatmax). The aim of this study was to verify the reliability of a new test protocol (Fatmaxwork) using the INCA software package. Twenty four sedentary subjects was enrolled and performed the following tests using a VO2000 metabolimeter: (1) An incremental test of 20 min to determine the individual Fatmax and maximum rate of fat oxidation (MFO) with new Fatmaxwork test; (2) a constant load test of 60 min. For our subjects, the average fat zone was estimated by INCA at 54.2 ± 4.9% max HR, RER 0.86 ± 0.09, 130 ± 64 W. The results from the constant load test differed by 0.01 ± 1.92 for respiratory gas exchange rate (RER) and -0.22 ± 1.92% for heart rate (HR). This study showed that the Fatmaxwork test can be used to predict Fatmax in untrained overweight subjects and INCA is a reliable and accurate software package. |
| Databáze: | OpenAIRE |
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