Heart Rate Variability
One of the first things to know when understanding heart rate is that the most informative metric relies not just on the heart rate, but how much the heart ratevaries. What’s often at first glance counter-intuitive about this metric is that a higher heart rate variability (HRV) is associated with good health – the more your heart jumps around (to an extent, of course), the readier you are for action. On the other hand, a low HRV is associated with ill health – it is a significant predictor of mortality from several diseases. HRV and the Brain While the medical uses of HRV are widely used, there are also aspects of thoughts, emotions, and behaviors that can be derived from HRV data. From psychology studies, we know that HRV is associated with many factors. Researchers have found that an increase in HRV is related to increased self-control abilities, greater social skills, and better abilities to cope with stress, among other findings. The applications are therefore clearly more broad than directly medical situations. Overall HRV can be said to be an indicator of physiological stress or arousal, with increased arousal associated with a low HRV, and a decreased arousal associated with high HRV.
source: https://imotions.com/blog/heart-rate-variability/
HRV and stress
There is interest in HRV in the field of psychophysiology. For example, HRV is related to emotional arousal. High-frequency (HF) activity has been found to decrease under conditions of acute time pressure and emotional strain and elevated state anxiety,presumably related to focused attention and motor inhibition.HRV has been shown to be reduced in individuals reporting to worry more.In individuals with post-traumatic stress disorder(PTSD), HRV and its HF component (see below) is reduced whilst the low-frequency (LF) component is elevated. Furthermore, PTSD patients demonstrated no LF or HF reactivity to recalling a traumatic event. The polyvagal theory describes pathways in the autonomic nervous system that mediate HRV. This theory emphasizes the role of heart rate variability in understanding the magnitude and nature of vagal outflow to the heart. This theory decomposes heart rate variability based on frequency domain characteristics with an emphasis on respiratory sinus arrhythmia and its transmission by a neural pathway that is distinct from other components of HRV. There is anatomic and physiological evidence for a polyvagal control of the heart. The neurovisceral integration model describes how the prefrontal cortex regulates activity in limbic structures which act to suppress parasympathetic activity and activate sympathetic circuits. Variation in the output of these two branches of the autonomic system produces HRV and activity in the prefrontal cortex can hence modulate HRV.
source: https://en.wikipedia.org/wiki/Heart_rate_variability
Age
HRV is known to be decreasing with age. Gender: the relation is unclear from research. In some studies there are no differences, in other men have higher values, in yet other studies women have higher values. Body Mass Index (BMI): higher BMI is often linked to being less active, (in the general population, see later) which in turn can be linked to lower HRV values (see summary from literature above) Trainings per week: more activity and intense trainings have been linked to higher HRV.
source:
https://www.hrv4training.com/blog/heart-rate-variability-normal-values
Typical HRV values
-Sedentary or passive data subjects: maximum HRV= 10 – 40 ns
-Healthy trained subjects: maximum HRV = 40 – 100 ns
-Well trianed subjects: maximum HRV = 100 – 150 ns 
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Effective March 1, 2018
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