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Your resting heart rate is not a static number. It changes over time and day-to-day depending on your health, lifestyle, and environmental conditions.

These changes to your resting heart rate provide a peek into what is going on with your body. These three surprising things that alter your resting heart rate provide insight into how changes in your health affect this easily measured biometric.

Measuring Your Resting Heart Rate

The American Heart Association recommends that you check your resting heart rate first thing in the morning before you get out of bed. For best results, choose a morning when you wake up naturally since many of us are startled by the sound of the alarm. If that isn’t possible, try relaxing for a few minutes before you take your resting heart rate.

If you took your resting heart rate each morning, you would find that some mornings it is higher and others lower. This will vary depending on whether you are fighting illness, slept well, and where your hormonal cycle is that day (especially if you are female). Many of the same things that affect Heart Rate Variability (HRV) also may change your resting heart rate.

Please note, the information in this post is not a substitute for medical or professional advice. It is simply general information.

Three Surprising Things That Change Your Resting Heart Rate

1. Dehydration

Fitness enthusiasts often use heart rate monitors to track their working heart rate. Competitive and recreational runners may use heart rate training to ensure they work at the right intensity for each workout within their training program.

However, the benefits go deeper. An increased heart rate is also one of the symptoms of dehydration. This also can happen at rest especially on a hot day. WebMD lists increased heart rate as a warning sign of dehydration. According to WebMD, the increase in RHR also indicates the degree of dehydration:

“Normally, when you have been lying down and then stand up, there is a small drop in blood pressure for a few seconds. The heart rate speeds up, and blood pressure goes back to normal. However, when there is not enough fluid in the blood because of dehydration and the heart rate speeds up, not enough blood is getting to the  brain. The brain senses this condition. The heart beats faster, and if you are dehydrated, you feel dizzy and faint after standing up.” (Source Dehydration in Adults, Web MD)

Tip or Application: Stay hydrated both at rest and during exercise to maintain your normal heart rate. Be aware that excessive hydration can lead to a rare and dangerous condition sometimes known as “water intoxication.” Always practice moderation!

2. Changes in Health

Your resting heart rate (RHR) provides a barometer into your health and hormone balance. It reflects the efficiency of your cardiovascular system much like your HRV reading. Keep in mind that your genetics affect your resting heart rate so some people tend to run a little faster while others typically have a slower RHR. However, within your normal range, the following factors can alter your RHR:

  • Pregnancy – pregnancy typically increases RHR very early. Sometimes women who measure their Basal Body Temperature (BBT) while trying to conceive also take their resting pulse. Often they find both their core body temperature and their heart rate increased before a home pregnancy test confirmed the result.
  • Thyroid conditions – People with underactive, or hypothyroid, often find their RHR decreased. On the other hand, those with overactive, or hyperthyroid, find their RHR increases.
  • Other hormone changes – Both of the previous factors involve a change in hormone balance, other hormone changes may also affect RHR.
  • Weight gain or loss – Sometimes when people gain weight their RHR increases and weight loss decreases it. Of course, improvement in cardiovascular fitness also result in a lower resting heart rate (at the lower end of your normal range).

Tip or Application: Regularly monitor your RHR and HRV. If you notice changes that last longer than a few days consider whether there may be any changes to your health or hormones. If you think so, be sure to schedule an appointment with your doctor.

3. Overtraining or Stress

We previously covered how stress can lower your HRV, it also can raise your RHR. The same applies to training hard without allowing adequate recovery from your workouts. Some athletes track both their HRV and RHR to gauge their recovery. Inadequate sleep can also hinder your ability to recover from physical and mental stress. This also results in decreased HRV readings and increased RHR.

Tip or Application: Use your Biostrap to tracks trends in both your RHR and HRV measures. Consider taking active recovery days or rest if your readings indicate that you need rest.

Your biometrics offer insight into the state of your health. Devices like Biostrap make it easier to track trends in key biometrics including resting heart rate, blood oxygen saturation levels, resting heart rate, and working heart rate. It is easier than ever to monitor these metics and to use this information to live your healthiest life.

Sources and Resources

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What is it?

Heart rate variability (HRV) is a measure of differences in the time intervals between heart beats. Heart rate by itself is the expression of how many contractions of the heart there are in a given unit of time; however, the rate itself is not constant. There is normal fluctuation of time between heartbeats, in a manner that speeds up and slows down heart rate. Therefore, HRV is a quantifiable measure that assesses these differences.

This variation in the time between heartbeats is thought to be a composite measure of parasympathetic and sympathetic neural inputs and hormonal inputs as regulated by the autonomic nervous system. Much is still unknown about the mechanism of action causing variability changes. However, many studies have shown correlations between HRV and diseased states, such as heart disease, Parkinson disease, and cardiovascular disease; emotional stress, such as depression; physical/mechanical stress, such as high-intensity or resistance training; sleep in the context of both acute stress and chronic stress; and meditation whether it’s “inward- attention” or Vipassana meditation. Therefore, HRV is becoming a more common non-invasive measure to examine the physiological state and responses.

How it’s measured

HRV can be measured by use of an electrocardiogram (ECG) or photoplethysmography (PPG). By referencing a common point in the ECG or PPG waveform, the time between each heart beat can be recorded in milliseconds (ms). Collecting each beat-to-beat interval in ms allows us to compute HRV, most commonly reported as rMSSD (root mean square of successive differences)

The rMSSD method of calculation takes each interval, squares the interval, takes the overall mean, and then the square root of that mean is taken. Biostrap computes the rMSSD using this method and remains the standard computational method for HRV. 

More complex measures of HRV, including frequency domain analysis can be performed to get further information out of heart rate patterns, which will be covered in another review. 

Correlation with health conditions

HRV is most notably correlated with stress conditions, such as anxiety disorders, depression, PTSD, and other psychological states, with lower HRV indicating higher-stressed states. The suggested mechanism is an increased sympathetic arousal, which affects HRV; HRV alone does not cause these states, but reflects and provides insight into the heightened stress on the physiological systems, which in turn have effects on other bodily systems, particularly the cardiovascular and endocrine systems. 

Because of the chronic effects of stress, as previously mentioned, HRV has been noted to be a predictor of all-cause mortality and correlated with obesity, cardiovascular disease, cancer, and neurodegenerative diseases, among other health conditions.

What is a “normal” range?

Heart rate variability has a large individual component and is often used to assess changes in health over time (see “Interpreting Trends” below).

Heart rate variability can fluctuate day-to-day based on exposure to stress, sleep quality, diet, and exercise. This leads to low repeatability, and therefore makes normative data difficult to collect.

In general, younger individuals, males, and more active individuals tend to have higher heart rate variability. However, the inter-subject variability tends to be too high to suggest proper normative ranges. This demonstrates a need to track HRV over time to understand the ‘profile’ of an individual.

When considering a normal range, there is not a normal scale of 0-100. HRV scale is 0-255. Many factors influence where your HRV sits on this scale, including; genetics, lifestyle, and age. Once you track HRV over a period of time you will have a baseline HRV. Once a baseline is established you will be able to see how day-to-day internal and external stressors influence your HRV, upward or downward.

Watching your HRV deviate positively or negatively from your baseline is the most important factor to observe. The actual HRV number matters less than how much it has varied from your “normal” baseline.

Interpreting trends

As previously mentioned, HRV is difficult to interpret and generally a nonspecific data point from a single spot check. However, since it is a dynamic measure that responds to various lifestyle factors, tracking HRV over time allows for non-invasive insight into changes in health status or efficacy of certain interventions.

In general, since higher HRV is preferable, a greater ability to manage stress results in an increased HRV. The results of the studies demonstrating the relationship between stress and HRV suggest that interventions aimed at reducing mental and physical stress could increase HRV and minimize day-to-day fluctuations. The increase in HRV itself will not reduce risk and improve health over the long term, but rather, it reflects positive changes in an individual’s physiology.

Biostrap

In a 2018 study, the Biostrap sensor as a wrist-worn device was shown to produce high-quality signals which are useful for the estimation of heart rate variability. 

References

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