by Simon Wegerif

Although heart rate variability (HRV) has been known about for centuries, and employed in critical medical monitoring, space exploration and elite athletics systems for many years, it was only when validated smartphone app ithlete appeared in 2010 that it became practical for athletes, sportspeople and biohackers to gain easy access to this revealing biomarker.

Prof Stephen Porges description of HRV as an ‘index of stress, and vulnerability to stress’ (1) has at least two important implications:

  1. HRV decreases with the total stress load placed on your body. This includes:

a) Physical stress e.g. from workouts and manual labour

b) Chemical stress from poor nutrition or toxins

c) Mental / emotional stress from work deadlines, relationships, etc.

2. The higher a person’s average (or baseline) HRV, the less vulnerable they are likely to be to stress from these sources.

It’s no big surprise then, that researchers have been looking for possible relationships between higher HRV and a longer lifespan.

Whilst all good studies report the age and other key demographic data of their subjects, it was in 2010 that researchers in Geriatric Medicine and Cardiology at the Chicago College of Medicine identified a need to better understand the physiologic markers predictive of healthy longevity. They suspected that preservation of good function of the autonomic nervous system, that regulates many of the body’s internal processes, might be important to preserve life in old age.

They recruited nearly 350 healthy subjects of both sexes ranging in age from 10 to 99 years around Chicago and in Northern California, and used portable Holter ECG monitors to record and calculate measures of HRV to a high degree of accuracy for a 24 hour period.

The published paper shows a scatter plot of the results, which although clearly showing a decline with age is not very easy to apply. So what we have done is to re-digitise all the individual data points for the parasympathetic data and plot this on the chart below as mean ± 2 Standard Deviations, i.e. approx. 95% of the population at a given age will be between these limits. The HRV scale is the one created for ithlete, 20x Ln RMSSD.

HRV vs age

What they discovered was that measures of parasympathetic (rest and digest) HRV exhibited a rapid decline between the ages of 20 and 50. The rate of decrease then slowed, reaching a minimum in the 70s.  After this, they found an increase in HRV for the very oldest subjects.

The fact that HRV declines throughout life for the population as a whole suggests that preservation of autonomic function could be important to healthy survival into old age.  It is especially interesting to see the higher values of parasympathetic HRV in the very oldest members of society. The authors offer a couple of different explanations as to why this might be:

  1. That only the people with high levels of HRV in their younger years survive longer than average or
  2. That lifestyle modifications (i.e. healthy living) help preserve autonomic functions into later life.

It’s also interesting that beyond the age of 60, HRV distribution seems to bottom out at approximately 40 units on the ithlete scale. In other research papers, a level of less than 15ms RMSSD has been suggested as a level below which mortality risk increases.

More recently, a distinguished body of Silicon Valley Doctors and Entrepreneurs came together to create the PaloAltoPrize.org to stimulate research into anti-ageing techniques and have put up $1m in prize money for the first teams that are able to demonstrate restoration of health in an ageing mammal to that of a young adult. They’ve taken a bold stand by declaring HRV as the single key metric for autonomic capacity, which is thought to be the key is restoring the body’s ability to repair itself (rather than just the reduction of current symptoms). The initiative is led by Dr Joon Yun, who is interviewed on the Quantified Body.

Another recent commentary in the journal of the American Heart Association (3) took the perspective of looking at the relationship between resting heart rate and life expectancy:

Heartbeats lifetime

Studies were quoted which looked at the total number of heartbeats of 15 different mammal species, calculated as average heart rate x average lifespan, and found that they came out within a narrow range around 1 billion heartbeats. The connection was drawn between high HRV, signifying a parasympathetic dominant state and low heart rate at rest. The authors pointed out that routine exercise is an especially effective way of reducing not only resting heart rate, but also the 24hr average including the raised HR during exercise.

No doubt someone in the Quantified Self community has already calculated how many heartbeats they have remaining, and also what is the optimum volume and intensity of exercise to spread those remaining heartbeats over the longest time span!

In summary, Prof Porges’ statements about HRV being an index of stress, and vulnerability to stress are well born out by the findings of a population study, in that it does seem that HRV, and the body’s ability to repair itself declines naturally with age, reaching a minimum in the 70s. Living for longer and remaining healthy seems to depend on a good genetic makeup (so that your HRV begins and continues above average levels for your age), or on lifestyle choices that boost HRV or most likely a combination of both.

 

References

  1. Pediatrics.1992 Sep;90(3 Pt 2):498-504. Vagal tone: a physiologic marker of stress vulnerability. Porges SWhttp://www.ncbi.nlm.nih.gov/pubmed/1513615
  1. Usman Zulfiqar, MD, Donald A. Jurivich, DO, Weihua Gao, PhD, and Donald H. Singer, MD., 2010. Relation of High Heart Rate Variability to Healthy Longevity. American Journal of Cardiology 2010; 105:1181–1185
  2. Exercise, Heart Rate Variability, and Longevity The Cocoon Mystery? Paul Poirier, MD, PhD, FRCPC (Circulation. 2014;129:2085-2087.)
© 2014 American Heart Association, Inc. Circulation is available at http://circ.ahajournals.org DOI: 10.1161/CIRCULATIONAHA.114.009778

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