The purpose of the present study was to relate the training intensity distribution with performance in a Half-Ironman distance tri-athlon competition. Future research should take into account that compared to the field, a higher cadence is used in laboratory settings to produce similar power output. Confirming previous results, cadence was higher during the power profile test compared to the respective intervals of the race and increased with increasing workload or shorter time trial duration. Compared to the race, we found higher power output during the power profile test for the shorter efforts but lower for TT60 and TT300. Power output and cadence during the power profile test were compared to corresponding short-term efforts during the race over durations of 10–300s (TT10–300). Twenty-three competitive athletes (17.9☓.7 years) performed a laboratory power profile test and a simulated race within one week. The aim was therefore to examine power output and cadence in short-term efforts under laboratory and field conditions. Previous findings indicate that power output during sprint tests differs between laboratory and field-based conditions and that cycling cadence rises with increasing workload. Mountain bike cross-country Olympic has an intermittent performance profile, underlining the importance of short-term but high cycling power output. However, more studies in larger and more highly trained subjects are needed. Polarized TID in moderately trained triathletes did not prove to be superior compared to a more moderate TID. We did not observe statistically significant time × group interaction effects in any of the performance outcomes between both groups. We applied the polarization index of >2 in INT (2.1 ± 0.4) and <1 in CON (0.9 ± 0.3).īoth groups notably improved their lactate threshold 2 (+2.8 ± 5.1 %, p = 0.026) and peak (+5.4 ± 6.2 %, p = 0.002) running performance. Average training hours and anthropometric data did not indicate any differences between CON and INT during the study period. INT used polarized training intensity distribution (TID), with either LIT or high-intensity training (HIT). CON employed a moderate TID with either medium-intensity (MIT) or low-intensity training (LIT). The participants underwent incremental cycling and running testings before and after the intervention period to assess performance indices until objective exhaustion. We used the minimization method (Strata: gender, age competition times, training volumes) to allocate the groups. This pilot study examined 6 weeks of training-macrocycle using polarized intensity distribution compared to moderate TID and it's effects on sub-maximal and maximal performance indices during running and cycling.įifteen moderately trained triathletes were either assigned to an intervention group (INT, n = 7, 2 females/5 males, Age: 29.1 ± 7.6) or a control group (CON, n = 8, 2 females/6 males, Age: 30.3 ± 6.1). There is still a lack of evidence as to which program is more beneficial during triathlete training. Short-distance triathletes, however, perform most of their competition-specific training around moderate-intensity intervals. Previous research indicates that polarized training-intensity-distribution (TID) programs could enhance endurance performance. Despite the lack of significant superiority in this and some other studies, many athletes and coaches prefer POL because it produces at least equivalent effects and requires less training time. 2.6%), but not for maximal efforts lasting 10 to 300 s. ![]() 2.3%), and for maximal aerobic performance (4.4% vs. 2.8%) and individual anaerobic lactate threshold (5.1% vs. However, a small tendency toward better effects for POL was seen for cycling power output during the race (4.4% vs. ![]() The results did not show statistically significant differences between POL and LIT, as both interventions led to slight improvements. The superiority of one of the two methods could not be shown in this study. This randomized controlled trial compared the effects of a polarized training model (POL) to a low-intensity training model (LIT) on physiological parameters and mountain bike cross-country Olympic (XCO) race performance in eighteen competitive XCO athletes (17.9 ± 3.6 years). To improve performance in endurance sports, it is important to include both high-intensity and low-intensity training, but there is neither a universally accepted practice nor clear scientific evidence that allows reliable statements about the predominance of a specific training method.
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