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Correlation between Cardiopulmonary Indices and Running Performance in a 14.5 km Endurance Running Event

Author

Listed:
  • Milena Tomovic

    (Sports Medicine Laboratory, School of Physical Education and Sports Science, Aristotle University, Thermi PC, 57001 Thessaloniki, Greece)

  • Alexandros Toliopoulos

    (Sports Medicine Laboratory, School of Physical Education and Sports Science, Aristotle University, Thermi PC, 57001 Thessaloniki, Greece)

  • Nikolaos Koutlianos

    (Sports Medicine Laboratory, School of Physical Education and Sports Science, Aristotle University, Thermi PC, 57001 Thessaloniki, Greece)

  • Anastasios Dalkiranis

    (Sports Medicine Laboratory, School of Physical Education and Sports Science, Aristotle University, Thermi PC, 57001 Thessaloniki, Greece)

  • Sasa Bubanj

    (Faculty of Sport and Physical Education, University of Nis, 18000 Nis, Serbia)

  • Asterios Deligiannis

    (Sports Medicine Laboratory, School of Physical Education and Sports Science, Aristotle University, Thermi PC, 57001 Thessaloniki, Greece)

  • Evangelia Kouidi

    (Sports Medicine Laboratory, School of Physical Education and Sports Science, Aristotle University, Thermi PC, 57001 Thessaloniki, Greece)

Abstract

Background: Running is a common recreational activity, and the number of long-distance-race participants is continuously growing. It is well-established that regular physical activity can prevent and manage non-communicable diseases and benefit public health. Training for a long-distance race requires development of specific aerobic abilities and should generate the desired race performance. The purpose of this study was to support the training design and motivation of recreational endurance runners, by investigating whether a 14.5 km race performance of long-distance runners correlates with their cardiopulmonary indices measured in the laboratory. Methods: To examine the relationships of a 14.5 km running performance with the cardiopulmonary parameters of amateur runners, a cross-sectional study design was applied. Fifteen (eleven men and four women) recreational long-distance runners (aged 41.3 ± 9.2 years) from Northern Greece were included in the study and were evaluated in the laboratory within one week before an endurance running race—the 14.5 km Philip Road race, in Greece. The laboratory-based examinations of the athletes consisted of a comprehensive medical pre-participation screening and maximal cardiopulmonary exercise testing. Results: The results showed that the 14.5 km race performance time (73.8 ± 9.7 min) significantly correlated with the cardiopulmonary-exercise-testing speed-related indices at specific submaximal and maximal workloads ( p < 0.01, p < 0.05), while the cardiopulmonary indices of oxygen uptake did not reliably predict race running time ( p > 0.05). Conclusions: There is a better correlation of the 14.5 km running performance of recreational long-distance runners with the cardiopulmonary-exercise-testing speed-related indices at specific workloads than with the indices of oxygen uptake, running economy or respiratory economy. When preparing a training strategy, amateur long-distance runners should mostly rely on specific running-speed-related laboratory data rather than on oxygen-uptake values.

Suggested Citation

  • Milena Tomovic & Alexandros Toliopoulos & Nikolaos Koutlianos & Anastasios Dalkiranis & Sasa Bubanj & Asterios Deligiannis & Evangelia Kouidi, 2022. "Correlation between Cardiopulmonary Indices and Running Performance in a 14.5 km Endurance Running Event," IJERPH, MDPI, vol. 19(19), pages 1-11, September.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:19:p:12289-:d:927188
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    References listed on IDEAS

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    1. Nathalie André & Nounagnon Frutueux Agbangla, 2020. "Are Barriers the Same Whether I Want to Start or Maintain Exercise? A Narrative Review on Healthy Older Adults," IJERPH, MDPI, vol. 17(17), pages 1-19, August.
    2. José Ramón Alvero-Cruz & Elvis A. Carnero & Manuel Avelino Giráldez García & Fernando Alacid & Lorena Correas-Gómez & Thomas Rosemann & Pantelis T. Nikolaidis & Beat Knechtle, 2020. "Predictive Performance Models in Long-Distance Runners: A Narrative Review," IJERPH, MDPI, vol. 17(21), pages 1-23, November.
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