A model study of optimal training reduction during pre-event taper in elite swimmers

Abstract

The aim of this study was to assess responses to taper in elite athletes using computer simulations. Parameters of a non-linear model were derived from training and performance data over two seasons for eight elite swimmers. The fit between modelled and actual performances was statistically significant for each swimmer (r 2 = 0.56 ± 0.06; P < 0.01). The simulations were used to estimate characteristics of step and progressive tapers that would maximize performance either (1) after regular training only or (2) after overload training of a 20% step increase in regular training for 28 days. The highest performance with a step taper was greater with than without prior overload training (101.4%, s = 1.6 vs. 101.1%, s = 1.4 of personal record; P < 0.01) but required a longer taper duration (22.4 days, s = 13.4 vs. 16.4 days, s = 10.3; P < 0.05). The optimal progressive taper led to a better performance only after the overload period (101.5%, s = 1.5; P < 0.001). Negative and positive influences of training were estimated as indicators of fatigue and adaptations to training respectively. During the optimal taper, the negative influence was completely removed, independently of the prior training, whereas the positive influence increased only after overload training. Our computer simulations show that the characteristics of an optimal training reduction in elite athletes depend on the training performed in the weeks prior to a taper.