AI Article Synopsis

  • The autonomic nervous system (ANS) is crucial for athletes' performance, and insufficient recovery during training can hurt their performance.
  • A study tracked collegiate football players over 13 weeks, using armband monitors to assess their exercise cardiac load (ECL), heart rate (HR), and heart rate variability (HRV) to gauge ANS function and recovery.
  • Findings revealed that higher ECLs negatively impacted running speed, while better HRV was linked to improved speed, suggesting that managing training intensity and recovery is essential for optimal performance during the season.

Article 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, < 0.0000 and β = -0.15 ± 0.04, < 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; = 0.001). HRV metrics were positively associated with running speed: (SDNN: β = 0.32 ± 0.09, < 0.03 and rMSSD: β = 0.35 ± 0.11, < 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10532057PMC
http://dx.doi.org/10.3390/jfmk8030134DOI Listing

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