Exercise Cardiac Load and Autonomic Nervous System Recovery during In-Season Training: The Impact on Speed Deterioration in American Football Athletes

Author:

Renaghan Eric1,Wittels Harrison L.2,Feigenbaum Luis A.13,Wishon Michael Joseph2,Chong Stephanie2,Wittels Eva Danielle2,Hendricks Stephanie2,Hecocks Dustin2,Bellamy Kyle4,Girardi Joe3,Lee Stephen5,Vo Tri6,McDonald Samantha M.27,Wittels S. Howard28910

Affiliation:

1. Department of Athletics, Sports Science, University of Miami, Miami, FL 33146, USA

2. Tiger Tech Solutions, Inc., Miami, FL 33156, USA

3. Department of Physical Therapy, Miller School of Medicine, University of Miami, Miami, FL 33146, USA

4. Department of Athletics, Nutrition, University of Miami, Miami, FL 33146, USA

5. United States Army Research Laboratory, Adelphi, MD 20783, USA

6. Navy Medical Center-San Diego, San Diego, CA 92134, USA

7. School of Kinesiology and Recreation, Illinois State University, Normal, IL 61761, USA

8. Department of Anesthesiology, Mount Sinai Medical Center, Miami, FL 33140, USA

9. Department of Anesthesiology, Wertheim School of Medicine, Florida International University, Miami, FL 33199, USA

10. Miami Beach Anesthesiology Associates, Miami, FL 33140, USA

Abstract

Fully restoring autonomic nervous system (ANS) function is paramount for peak sports performance. Training programs failing to provide sufficient recovery, especially during the in-season, may negatively affect performance. This study aimed to evaluate the influence of the physiological workload of collegiate football training on ANS recovery and function during the in-season. Football athletes recruited from a D1 college in the southeastern US were prospectively followed during their 13-week “in-season”. Athletes wore armband monitors equipped with ECG and inertial movement capabilities that measured exercise cardiac load (ECL; total heartbeats) and maximum running speed during and baseline heart rate (HR), HR variability (HRV) 24 h post-training. These metrics represented physiological load (ECL = HR·Duration), ANS function, and recovery, respectively. Linear regression models evaluated the associations between ECL, baseline HR, HRV, and maximum running speed. Athletes (n = 30) were 20.2 ± 1.5 years, mostly non-Hispanic Black (80.0%). Negative associations were observed between acute and cumulative exposures of ECLs and running speed (β = −0.11 ± 0.00, p < 0.0000 and β = −0.15 ± 0.04, p < 0.0000, respectively). Similarly, negative associations were found between baseline HR and running speed (β = −0.45 ± 0.12, 95% CI: −0.70, −0.19; p = 0.001). HRV metrics were positively associated with running speed: (SDNN: β = 0.32 ± 0.09, p < 0.03 and rMSSD: β = 0.35 ± 0.11, p < 0.02). Our study demonstrated that exposure to high ECLs, both acutely and cumulatively, may negatively influence maximum running speed, which may manifest in a deteriorating ANS. Further research should continue identifying optimal training: recovery ratios during off-, pre-, and in-season phases.

Publisher

MDPI AG

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine,Histology,Rheumatology,Anatomy

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