Related Experiment Videos
A population-based study on the determinants of heart rate and heart rate variability in the frequency domain
1Hypertension and Cardiovascular Rehabilitation Unit, Department of Molecular and Cardiovascular Research, Faculteit Geneeskunde, K.U.Leuven, U.Z. Gasthuisberg-Hypertensie, Herestraat 49-B 3000 Leuven.
Insights
Age and gender significantly impact heart rate and heart rate variability (HRV) components. Parasympathetic modulation in women exceeds men at younger ages, diminishing after menopause.
Area of Science:
- Cardiology
- Physiology
- Biostatistics
Background:
- Heart rate variability (HRV) reflects autonomic nervous system activity.
- Understanding determinants of HRV is crucial for cardiovascular health assessment.
- Short-term HRV analysis involves low-frequency (LF) and high-frequency (HF) components, representing sympathetic and vagal modulation, respectively.
Purpose of the Study:
- To identify determinants of heart rate (HR) and HRV components (LF and HF) in a general population.
- To compare power spectral analysis methodologies for HRV.
- To investigate the influence of age, gender, and lifestyle factors on HR and HRV.
Main Methods:
- Population-based sample of 614 men and women (aged 25-89 years).
- Comparison of autoregressive modeling and fast Fourier transform for HRV power spectral analysis.
- Analysis of HR and HRV components in absolute (ms2) and normalized (%) units.
Main Results:
- Age and gender significantly influenced HR and HRV components.
- Significant age-gender interactions observed, with differences more pronounced in younger individuals.
- Parasympathetic modulation (HF power) was greater in younger women than men, but not post-menopause.
- HR and HRV responses to standing attenuated with age.
- Lifestyle factors (BMI, smoking, alcohol, physical activity) had minimal impact.
Conclusions:
- Methodology for HRV analysis and demographic factors are critical for interpretation.
- Age and gender are key determinants of HR and HRV, with distinct patterns in autonomic modulation.
- Findings highlight the importance of considering individual characteristics in HRV assessment for cardiovascular disease risk stratification.
Abstract:
The main objective of the present study was to identify the determinants of heart rate (HR) and of the low-frequency (LF) and high-frequency (HF) components of short-term heart rate variability (HRV) in the population. HF power represents vagal modulation of HRV and LF power predominantly sympathetic modulation. Data were collected in a population-based sample of 614 men and women, aged 25-89 years. Because of the uncertainty on the optimal methodology for power spectral analysis of HRV, we first compared the results obtained with the two most frequently used methods. We found that autoregressive modelling and fast Fourier transform yielded similar overall qualitative results, but that within subject differences between methods could be considerable. Results could also differ according to whether they were expressed in absolute (ms2) or in normalized (%) units. Age and gender significantly influenced HR and various components of HRV. Furthermore we observed significant interactions between age and gender regarding several components of HRV, indicating that men and women differ at younger age, but not after the age of about 50 yrs. Parasympathetic modulation appeared to be greater in women than in men at younger age, but not after the age of menopause. The changes of HR and HRV on standing were attenuated with increasing age. Influences of body mass index, smoking, alcohol consumption and habitual physical activity were small to negligible. In conclusion, the employed methodology and several demographic, anthropometric and/or lifestyle characteristics should be taken into account for the interpretation of HRV in cardiovascular disease.