Background:
Heart rate variability (HRV) is an important marker of heart health with low values reflecting reduced vagal control of the heart rhythm.
Objective:
The aim of this study was to investigate to what extent a broad range of demographic (age, sex), lifestyle (physical activity, smoking, alcohol use) and psychosocial factors (stress, social wellbeing, neuroticism) explained individual differences in HRV in the general population.
Methods:
Using baseline data of 10 second electrocardiograms (ECG) from the Lifelines cohort study (n=149,205;58.7% female; mean age [SD]: 44.6[13.2] year), we calculated the Root Mean Square of Successive Differences (RMSSD) between adjacent inter-beat intervals as an index of cardiac parasympathetic nervous system activity. We also calculated RMSSD adjusted for its dependency on heart rate (cRMSSD). The association of demographic, lifestyle and psychosocial factors with RMSSD was assessed using hierarchical linear regression models adjusting for potential confounding effects of medication use, disease and body mass index.
Results:
HRV strongly declined with age and was consistently higher in women. These demographic factors together explained 17.4% of the variance in RMSSD and 21.9% in cRMSSD. Physical activity, alcohol use and smoking showed some significant associations with RMSSD, but stress, social well-being and neuroticism did not. Adding lifestyle and psychosocial factors to the model additionally explained less than 0.50% of the variance.
Conclusions:
Age and sex were the most important determinants in this very large general population cohort explaining almost one fifth of the individual differences in HRV. The additional contribution of lifestyle and psychosocial factors was negligible.
Keywords:
Heart rate variability; Lifelines; demographic; determinants; lifestyle; psychosocial