High-Intensity Interval Training in Middle-Distance NCAA Division I 800/1500m Collegiate Athletes

Ffion G. Price, JohnEric W. Smith, Alana J. Turner, Ben M. Krings, Hunter S. Waldman, Harish Chander, Adam C. Knight, Matthew J. McAllister

Abstract


Background: High-intensity interval training (HIIT) has grown in popularity, with studies demonstrating improvements in aerobic and anaerobic performances within Sedentary and Recreationally active adults. Little research has been comprised on collegiate, middle-distance runners (800m/1500m). Objective: This research study aimed to investigate the impact of four-weeks HIIT cycling training on collegiate 800/1500m runners performance, and determine whether HIIT can be used as an alternative training method for student athletes. Methods: Twelve middle-distance runners were recruited, with six athletes completing the intervention. Athletes completed pre-testing, which included a 1500m time trial, a GXT, stride length and frequency measurements, and MVIC, using Biopac electromyography (EMG). After pre-testing, athletes completed four weeks of HIIT twice per week. The HIIT consisted of four 20-second bouts with 4 minutes recovery. Following the completion of the training intervention, post-testing was performed for all measures. A paired t-test was used to determine differences between pre- and post-performance tests. An ANOVA was used to determine changes in heart rate and RPE during the GXT. Results: Significant changes were demonstrated between the pre- and post-muscle activation tests of the quadriceps (p=0.05). Significant changes were seen with both HR (p<0.05) and RPE (p<0.05) throughout the GXT. No other significant differences were demonstrated between pre- and post-performance tests, concluding four-weeks HIIT does not alter 800/1500m performance. Conclusion: From the results of this study, HIIT could be used as an alternate method for training for 800/1500m runners. Further reasearch should be conducted toto further understand the impacts of HIIT on middle distance athletes.

Keywords


High-Intensity Interval Training, Running, Track and Field, Endurance Training

Full Text:

PDF

References


Baker, R (2006). Gait analysis methods in rehabilitation. Journal of Neuroengineering and Rehabilitation, 3(1), 4 DOI:10.1186/1743-0003-3-4.

Charry, E., Hu., W., Umer, M., Ronchi, A., and Taylor, S (2013). Study on estimation of peak ground reaction forces using tibial accelerations in running. IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Melbourne, 288-293, DOI: 10.1109/ISSNIP.2013.6529804.

DorsaVi. [Online] Available: https://www.dorsavi.com/us/en/professional-suite/. Retrieved on: 5/27/2020 and 7/12/20.

Eltoukhy, M., Kuenze, C., Oh, J., Wooten, S., and Signorile, J. (2017). Kinect-based assessment of lower limb kinematics and dynamic postural control during the star excursion balance test. Gait and Posture, 58, 421-427. DOI: 10.1016/j.gaitpost.2017.09.010.

Garner, J., Parish, L., Shaw, K., Wilson, P., Donahue, P. (2020). Using Motion Sensor Technology to Manage Risk of Injury in a Strength and Conditioning Program for Female Collegiate Athletes. International Journal of Kinesiology & Sports Science 8 (1): 31-36. DOI: 10.7575/aiac.ijkss.v.8n.1p.31

Hughes, T., Jones, R. K., Starbuck, C., Sergeant, J. C., & Callaghan, M. J. (2019). The value of tibial mounted inertial measurement units to quantify running kinetics in elite football (soccer) players. A reliability and agreement study using a research orientated and a clinically orientated system. Journal of electromyography and kinesiology: official journal of the International Society of Electrophysiological Kinesiology, 44(2), 156–164. DOI: 10.1016/j.jelekin.2019.01.001.

Hu, W., Charry, E., Umer, M., Ronchi, A., Taylor., S. (2014, April). An inertial sensor system for measurements of tibia angle with applications to knee valgus/varus detection. In 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) (pp. 1-6). IEEE. DOI: 1-6. 10.1109/ISSNIP.2014.6827603.

Khurelbaatar, T., Kim, K., Lee, S.K., and Kim, Y.H. (2015). Consistent accuracy in whole-body joint kinetics during gait using wearable inertial motion sensors and in-shoe pressure sensors. Gait & Posture, 42(1), 65-69. DOI: 10.1016/j.gaitpost.2015.04.007.

Lanovaz, J., Musselman, K., Oates, A., Treen, T., and Unger., J. (2017). Validation of a commercial inertial sensor system for spatiotemporal gait measurements in children. Gait & Posture 51, 14-19. DOI: 10.1016/j.gaitpost.2016.09.021.

Luinge, H.J., and Veltink, P.H. (2005). Measuring orientation of human body segments using miniature gyroscopes and accelerometers. Medical and Biological Engineering and Computing, 43(2), 273-282. DOI: 10.1007/BF02345966.

Mjosund, H.L., Boyle, E., Kjaer, P., Mieritz, R.M., Skallgard, T. and Kent, P. (2017). Clinically acceptable agreement between the ViMove wireless motion sensor system and the Vicon motion capture system when measuring lumbar region inclination motion in the sagittal and coronal planes. BMC Musculoskeletal Disorders, 18 (1), 124. DOI: 10.1186/s12891-017-1489-1.

Mohammed, A.A., Nicholas, K., Button, K., Sparkes, V., Sheeran, L. and Davies, J.L. (2018). Inertial measurement units for clinical movement analysis: reliability and concurrent validity, Sensors, 18(3), 719-748. DOI: 10.3390/s18030719.

Mukaka M. M. (2012). Statistics corner: A guide to appropriate use of correlation coefficient in medical research. Malawi medical journal: the journal of Medical Association of Malawi, 24(3), 69–71.

Robert-Lachaine, X., Mecheri, H., Larue, C. and Plamondon, A. (2017). Validation of inertial measurement units with an optoelectronic system for whole body motion analysis. Medical and Biological Engineering and Computing, 55(4), 609-619. DOI: 10.1007/s11517-016-1537-2.

Willy, R. W. (2018). Innovations and pitfalls in the use of wearable devices in the prevention and rehabilitation of running related injuries. Physical Therapy in Sport, 29, 26-33. DOI: 10.1016/j.ptsp.2017.10.003.




DOI: https://doi.org/10.7575/aiac.ijkss.v.8n.3p.28

Refbacks

  • There are currently no refbacks.




Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

2013-2023 (CC-BY) Australian International Academic Centre PTY.LTD.

International Journal of Kinesiology and Sports Science

You may require to add the 'aiac.org.au' domain to your e-mail 'safe list’ If you do not receive e-mail in your 'inbox'. Otherwise, you may check your 'Spam mail' or 'junk mail' folders.