Predicting Running Performance and Adaptations from Intervals at Maximal Sustainable Effort
This study examined the predictive quality of intervals performed at maximal
sustainable effort to predict 3-km and 10-km running times. In addition, changes
in interval performance and associated changes in running performance were
investigated. Either 6-week (10-km group, n=29) or 2-week (3-km group,
n=16) interval training periods were performed by recreational runners.
A linear model was created for both groups based on the running speed of the
first 6×3-min interval session and the test run of the preceding week
(T1). The accuracy of the model was tested with the running speed of the last
interval session and the test run after the training period (T2). Pearson
correlation was used to analyze relationships between changes in running speeds
during the tests and interval sessions. At T2, the mean absolute percentage
error of estimate for 3-km and 10-km test times were 2.3% and
3.4%, respectively. The change in running speed of intervals and test
runs from T1 to T2 correlated (r=0.75, p<0.001) in both
datasets. Thus, the maximal sustainable effort intervals were able to predict
3-km and 10-km running performance and training adaptations with good accuracy,
and current results demonstrate the potential usefulness of intervals as part of
the monitoring process. [...] Georg Thieme Verlag Rüdigerstraße 14...
Source: International Journal of Sports Medicine - Category: Sports Medicine Authors: Nuuttila, Olli-Pekka Matom äki, Pekka Kyr öläinen, Heikki Nummela, Ari Tags: Training & Testing Source Type: research