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Related Experiment Videos

Decrease in heart rate variability with overtraining: assessment by the Poincaré plot analysis.

Laurent Mourot1, Malika Bouhaddi, Stéphane Perrey

  • 1Laboratoire de Physiologie Médecine, Faculté de Médecine, Besançon Cedex, France. mourotlaurent@hotmail.com

Clinical Physiology and Functional Imaging
|January 14, 2004
PubMed
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Athletes with overtraining syndrome (OT) show altered heart rate variability (HRV) with sympathetic dominance. Non-linear Poincaré plots effectively distinguish OT from trained and sedentary individuals, aiding fatigue detection.

Area of Science:

  • Sports Medicine
  • Autonomic Physiology
  • Cardiovascular Regulation

Background:

  • Overtraining syndrome (OT) is linked to autonomic dysfunction, impacting athlete health and performance.
  • Heart rate variability (HRV) offers a non-invasive window into autonomic nervous system regulation of heart rate.
  • Traditional HRV analysis may not fully capture the complex physiological changes in OT.

Purpose of the Study:

  • To compare HRV profiles of overtrained athletes (OA) with trained (T) and sedentary (C) individuals.
  • To evaluate the utility of non-linear Poincaré plot analysis against traditional HRV methods in identifying OT.
  • To assess autonomic responses to postural changes (supine vs. upright) in different subject groups.

Main Methods:

  • Collected HRV data from seven OA, eight T, and eight C subjects in supine and upright positions.

Related Experiment Videos

  • Performed traditional time- and frequency-domain HRV analyses.
  • Utilized non-linear Poincaré plot analysis, calculating standard deviations of R-R interval variability (SD1 and SD2).

    • Main Results:

    • Total power and parasympathetic indicators (high-frequency power, SD1) were significantly lower in OA compared to T subjects.
    • Overtrained athletes exhibited a marked sympathetic predominance, indicated by higher LF/HF ratios in both positions.
    • Poincaré plots showed distinct shapes (narrow for OA, wide for T) differentiating the groups, correlating with traditional HRV measures.

    Conclusions:

    • Heart rate variability analysis, particularly non-linear Poincaré plots, can effectively differentiate overtrained athletes from trained and sedentary individuals.
    • Poincaré plot parameters provide a simple yet robust method for assessing autonomic changes associated with overtraining.
    • These findings suggest that HRV, especially using Poincaré plots, could be a valuable tool for monitoring athlete fatigue and preventing overtraining syndrome.