Key result
Heart rate-demarcated training-intensity distribution resulted in substantially higher training time in zone 2 compared to running speed (17.0% vs 5.3%; effect size -1.64; P<.001).
Why the study?
The study aimed to compare the training-intensity distribution across an 8-week period in highly trained middle-distance runners using 3 different methods of training-intensity quantification.
Does the method of training-intensity quantification affect the computation of training-intensity distribution in highly trained middle-distance runners?
Observational (n=14)
Does the method of training-intensity quantification affect the computation of training-intensity distribution in highly trained middle-distance runners?
Standardized Mean Difference: -1.64
Absolute Event Rate: 17% vs 5.3%
p-value: p=<.001
The method used to quantify training intensity (running speed, heart rate, or rating of perceived exertion) substantially alters the calculated training-intensity distribution in middle-distance runners.
TID method choice alters zone allocations in runners; should not yet change practice and leaves open optimal quantification for outcomes.
PURPOSE: To compare the training-intensity distribution (TID) across an 8-week training period in a group of highly trained middle-distance runners employing 3 different methods of training-intensity quantification. METHODS: A total of 14 highly trained middle-distance runners performed an incremental treadmill test to exhaustion to determine the heart rate (HR) and running speed corresponding to the ventilatory thresholds (gas-exchange threshold and respiratory-compensation threshold), as well as fixed rating of perceived exertion (RPE) values, which were used to demarcate 3 training-intensity zones. During the following 8 weeks, the TID (total and percentage of time spent in each training zone) of all running training sessions (N = 695) was quantified using continuous running speed, HR monitoring, and RPE. RESULTS: Compared with the running-speed-derived TID (zone 1, 79.9% [7.3%]; zone 2, 5.3% [4.9%]; and zone 3, 14.7% [7.3%]), HR-demarcated TID (zone 1, 79.6% [7.2%]; zone 2, 17.0% [6.3%]; and zone 3, 3.4% [2.0%]) resulted in a substantially higher training time in zone 2 (effect size ± 95% confidence interval: -1.64 ± 0.53; P < .001) and lower training time in zone 3 (-1.59 ± 0.51; P < .001). RPE-derived TID (zone 1, 39.6% [8.4%]; zone 2, 31.9% [8.7%]; and zone 3, 28.5% [11.6%]) reduced time in zone 1 compared with both HR (-5.64 ± 1.40; P < .001) and running speed (-5.69 ± 1.9; P < .001), whereas time in RPE training zones 2 and 3 was substantially higher than both HR- and running-speed-derived zones. CONCLUSION: The results show that the method of training-intensity quantification substantially affects computation of TID.
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Bellinger et al. (2019) conducted an observational in Highly trained middle-distance runners (n=14). Heart rate (HR) monitoring vs. Running speed was evaluated on Percentage of training time in zone 2 (Effect size -1.64, 95% CI ± 0.53, p=<.001). Heart rate-demarcated training-intensity distribution resulted in substantially higher training time in zone 2 compared to running speed (17.0% vs 5.3%; effect size -1.64; P<.001).
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