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Published on: June 5, 2019
Determinants for heart rate variability in a normal Korean population.
1Department of Psychiatry, Haeundae Paik Hospital, Inje University School of Medicine, Busan, Korea.
Short-term heart rate variability (HRV) analysis reveals age and gender significantly impact measurements. These factors are crucial for accurate stress assessment using HRV, influencing total power, and frequency domain parameters.
Area of Science:
- Physiology
- Biomedical Engineering
- Cardiology
Background:
- Heart rate variability (HRV) is a key indicator of autonomic nervous system function.
- Short-term HRV measurements are increasingly used to assess physiological stress.
- Understanding normal HRV ranges and determinants is essential for accurate interpretation.
Purpose of the Study:
- To establish normal ranges for short-term HRV parameters in a large Korean population.
- To identify determinants influencing HRV measurements, including age and gender.
- To inform clinical and research applications of HRV for stress assessment.
Main Methods:
- Collected short-term HRV data from 2,748 healthy men and 735 healthy women (18-65 years).
- Performed time-domain (SDNN, RMSSD) and frequency-domain (TP, LF, HF, LF/HF) spectral analysis.
- Utilized quantile regression to analyze the impact of age, gender, and mean heart rate on HRV.
Main Results:
- Significant differences in SDNN, RMSSD, and HF were observed between genders, with females exhibiting higher values.
- After controlling for age, SDNN differences between genders were not statistically significant.
- Age and mean heart rate were identified as significant determinants impacting short-term HRV measurements.
Conclusions:
- Age and gender are critical determinants that must be considered in short-term HRV assessments.
- These findings provide essential reference ranges and insights for HRV interpretation in clinical and research settings.
- Accurate HRV analysis for stress evaluation necessitates accounting for individual demographic factors.
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