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Determinants of heart rate variability

H Tsuji1, F J Venditti, E S Manders

  • 1Kansai Medical University, Osaka, Japan.

Journal of the American College of Cardiology
|November 15, 1996
PubMed
Summary
This summary is machine-generated.

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Age and heart rate are key factors influencing heart rate variability (HRV). This study identified clinical determinants and established normative HRV values for better clinical assessment.

Area of Science:

  • Cardiology and autonomic nervous system function.
  • Analysis of cardiovascular health markers.

Background:

  • Clinical implications of heart rate variability (HRV) are known, but determinants and normative values are not well-established in large populations.
  • Systematic evaluation of HRV in a community-based cohort is lacking.

Purpose of the Study:

  • To identify clinical determinants of heart rate variability (HRV).
  • To establish normative reference values for eight HRV measures.
  • To provide a foundation for interpreting HRV in clinical practice.

Main Methods:

  • Analysis of 2-hour ambulatory electrocardiographic recordings from the Framingham Heart Study.
  • Exclusion of recordings with arrhythmias, insufficient duration, or antiarrhythmic medication use.
  • Selection of three key HRV measures (low frequency power, high frequency power, standard deviation of normal RR intervals) for regression analysis, adjusted for age and heart rate.

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Main Results:

  • Identified numerous clinical factors associated with lower or higher HRV measures, including age, heart rate, medical history (myocardial infarction, congestive heart failure), medications (beta-blockers, diuretics), and lifestyle (coffee consumption, smoking).
  • Age and heart rate emerged as the primary determinants of all analyzed HRV measures, explaining a significant portion of the variance.
  • Presented normative reference values for eight HRV measures.

Conclusions:

  • Age and heart rate are critical factors that must be considered when interpreting heart rate variability.
  • Understanding these determinants is essential for accurate clinical assessment of autonomic function via HRV.