Introduction The maximal heart rate (HRmax) is commonly used for monitoring training intensity in soccer. HRmax is typically measured by means of tests requiring an exhaustive effort. Age-based predictions are also used, but such approach tends to have substantial prediction errors. In a recent study (Baralis et al., 2013), it was shown that parameters associated to maximum effort during an incremental cycle ergometer test can be early predicted by the HR and ventilatory responses to the initial submaximal stages of the test. Thus, the purpose of this study was to evaluate the effectiveness of estimating HRmax from HR responses measured during the first phase of a graded running test. Methods 29 young soccer players (mean (SD) age: 16 (0.3) yrs, height: 174.2 (6.2) cm, weight 62.9 (5.6) kg) completed an incremental running test on an oval track, with speed set at 8.5 km/h and increased by 0.5 km/h every minute until exhaustion (Leger et al., 1988). Beat-by-beat HR was assessed throughout the test. HRmax was calculated as the peak HR value of 5-s segmentes. For each of the players, the slope and intercept of the HR vs. time relationship were estimated using HR data measured from the third to the sixth minute of the test, and used to predict HRmax with a linear regression. Results The mean HRmax and tes t duration were 202.1 (7.3) bpm (range: 187 to 216), and 809 (100) s (range: 625 to 1020). The linear model with (HR vs. time) slope and intercept as predictors explained 65% of variance in HRmax. The mean residual between the actual and predicted HRmax was 0 (3.8) bpm (range: -9.2 to 10.3). Discussion. The present findings show that HRmax can be predicted with a reasonably little error (< 5%) using HR vs. time relationship determined in the early stages of an incremental test (up to a 11 km/h running speed) in young soccer players. The approach of estimating maximal parameters from responses to non-exhaustive incremental exercises seems a promising tool for testing competitive athletes without requiring a maximal effort.
Di Michele R., Merni F. (2015). Early prediction of maximal heart rate during incremental testing in young soccer players.
Early prediction of maximal heart rate during incremental testing in young soccer players
DI MICHELE, ROCCO;MERNI, FRANCO
2015
Abstract
Introduction The maximal heart rate (HRmax) is commonly used for monitoring training intensity in soccer. HRmax is typically measured by means of tests requiring an exhaustive effort. Age-based predictions are also used, but such approach tends to have substantial prediction errors. In a recent study (Baralis et al., 2013), it was shown that parameters associated to maximum effort during an incremental cycle ergometer test can be early predicted by the HR and ventilatory responses to the initial submaximal stages of the test. Thus, the purpose of this study was to evaluate the effectiveness of estimating HRmax from HR responses measured during the first phase of a graded running test. Methods 29 young soccer players (mean (SD) age: 16 (0.3) yrs, height: 174.2 (6.2) cm, weight 62.9 (5.6) kg) completed an incremental running test on an oval track, with speed set at 8.5 km/h and increased by 0.5 km/h every minute until exhaustion (Leger et al., 1988). Beat-by-beat HR was assessed throughout the test. HRmax was calculated as the peak HR value of 5-s segmentes. For each of the players, the slope and intercept of the HR vs. time relationship were estimated using HR data measured from the third to the sixth minute of the test, and used to predict HRmax with a linear regression. Results The mean HRmax and tes t duration were 202.1 (7.3) bpm (range: 187 to 216), and 809 (100) s (range: 625 to 1020). The linear model with (HR vs. time) slope and intercept as predictors explained 65% of variance in HRmax. The mean residual between the actual and predicted HRmax was 0 (3.8) bpm (range: -9.2 to 10.3). Discussion. The present findings show that HRmax can be predicted with a reasonably little error (< 5%) using HR vs. time relationship determined in the early stages of an incremental test (up to a 11 km/h running speed) in young soccer players. The approach of estimating maximal parameters from responses to non-exhaustive incremental exercises seems a promising tool for testing competitive athletes without requiring a maximal effort.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
