Academic Journal
Performance prediction, pacing profile and running pattern of elite 1-h track running events
| العنوان: | Performance prediction, pacing profile and running pattern of elite 1-h track running events |
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| المؤلفون: | Girardi M., Gattoni C., Sponza L., Marcora S. M., Micklewright D. |
| المساهمون: | Girardi M., Gattoni C., Sponza L., Marcora S.M., Micklewright D. |
| سنة النشر: | 2022 |
| المجموعة: | IRIS Università degli Studi di Bologna (CRIS - Current Research Information System) |
| مصطلحات موضوعية: | Critical speed, Fatigue, Intensity–duration profile, Power law, Step frequency, Step length |
| الوصف: | Purpose: This study aimed at comparing the predictive accuracy of the power law (PL), 2-parameter hyperbolic (HYP) and linear (LIN) models on elite 1-h track running performance, and evaluating pacing profile and running pattern of the men’s best two 1-h track running performances of all times. Methods: The individual running speed–distance profile was obtained for nine male elite runners using the three models. Different combinations of personal bests times (3000m-marathon) were used to predict performance. The level of absolute agreement between predicted and actual performance was evaluated using intraclass correlation coefficient (ICC), paired t test and Bland–Altman analysis. A video analysis was performed to assess pacing profile and running pattern. Results: Regardless of the predictors used, no significant differences (p > 0.05) between predicted and actual performances were observed for the PL model. A good agreement was found for the HYP and LIN models only when the half-marathon was the longest event predictor used (ICC = 0.718–0.737, p < 0.05). Critical speed (CS) was highly dependent on the predictors used. Unlike CS, PLV20 (i.e., the running speed corresponding to a 20-min performance estimated using the PL model) was associated with 1-h track running performances (r = 0.722–0.807, p < 0.05). An even pacing profile with minimal changes of step length and frequency was observed. Conclusions: The PL model may offer the more realistic 1-h track running performance prediction among the models investigated. An even pacing might be the best strategy for succeeding in such running events. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | ELETTRONICO |
| اللغة: | English |
| Relation: | info:eu-repo/semantics/altIdentifier/wos/WOS:000838482700001; volume:18; issue:4; firstpage:1457; lastpage:1474; numberofpages:18; journal:SPORT SCIENCES FOR HEALTH; https://hdl.handle.net/11585/901559; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85136994413; https://link.springer.com/article/10.1007/s11332-022-00945-w |
| DOI: | 10.1007/s11332-022-00945-w |
| الاتاحة: | https://hdl.handle.net/11585/901559 https://doi.org/10.1007/s11332-022-00945-w https://link.springer.com/article/10.1007/s11332-022-00945-w |
| Rights: | info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.20D4140B |
| قاعدة البيانات: | BASE |
| DOI: | 10.1007/s11332-022-00945-w |
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