Heart rate variability (HRV): what it tells you and what it doesn't

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In brief

  • Heart rate variability (HRV) measures how much the time between one heartbeat and the next changes. Watches and rings usually show RMSSD,10 the measure researchers use to estimate the influence of the vagus nerve on the heart.1
  • It varies enormously from one person to another and goes down with age: your number shouldn't be compared with anyone else's or with a table, only with your own trend.342
  • From one day to the next it is moved by, among other things, alcohol and a higher heart rate; a single number says little.61
  • Watches and rings measure it with light and tend to come in below the electrocardiogram, with errors that vary widely from model to model.1011
  • It doesn't diagnose anything. If you have symptoms or something worries you, the person to turn to is a health professional, not the number.14

Many watches and rings show an “HRV” number every morning, sometimes with a color or an arrow. It is one of the metrics that sparks the most curiosity and one of the least well explained.

This article covers what it measures, why it makes no sense to compare it with someone else's, what changes it from one day to the next, how accurate the devices are, and what it can't tell you.

What it measures

The heart doesn't beat like a metronome: the time between one beat and the next keeps changing by a few thousandths of a second. Heart rate variability sums up how much it changes. There are many ways to calculate it; the one consumer devices usually show, RMSSD,10 is the measure of this kind used mainly to estimate the influence of the vagus nerve, the part of the nervous system that slows the heart down at rest.1

Each device measures it in its own way: some throughout the night, others in blocks of a few hours, and one with a short test while you are awake.10 And values from short recordings aren't interchangeable with those from a 24-hour recording, so they can't be carried over to a medical table either.1

An important clarification: higher isn't always better. Some heart rhythm disturbances also produce high variability.1

Why your number can't be compared with anyone else's

A review of 44 studies, with 21,438 healthy adults, found very large differences between people.3 HRV also goes down with age: in a study with 24-hour recordings, RMSSD fell to 47% of its value in the second decade of life (ages 10 to 19) by the sixth (ages 50 to 59) and then leveled off.5

Figure 1. Resting HRV (RMSSD) goes down with age, and the bands of neighboring age groups overlap

Values from 1,906 healthy adults in a population cohort in Germany, from a five-minute electrocardiogram taken lying down at rest; the figures are rounded and the band is the mean plus and minus one standard deviation.4 In that study, the differences between women and men were not significant in any decade. The band doesn't include everyone in the group: many people fall above or below it, and the bands of neighboring ages overlap, so the same value fits in any of them. It is also a different recording from that of a watch or ring: it is there to show the shape of the data, not as a table for placing your number.

That's why, in research, the recommendation is to compare each person with themselves and not with others.2 The useful question isn't “Is my HRV good?” but “How does it compare with what is usual for me?”

What moves it from day to day

  • Alcohol. In 4,098 Finnish employees monitored over several days, drinking was associated with lower HRV in the first hours of sleep, and more so the more alcohol they drank. With 0.75 g of alcohol per kilogram of body weight, the study's model estimates an average drop in RMSSD of 10.9 ms at age 30 and of 4.7 ms at age 60.6
  • Heart rate. When the heart beats faster, there is less time between beats for it to vary, and HRV goes down.1
  • Fitness. Over time, HRV tends to rise with better aerobic fitness.1
  • Sleep. A meta-analysis of trials found a drop in RMSSD after people were deprived of sleep, but with only four trials, and the effect was small, at the edge of what can be told apart from chance.7
  • Stress. Stress induced in the laboratory usually lowers it.8 In daily life the relationship is less direct: according to that review, in a study with 909 adults, the number of stressful situations was not related to HRV, but how intensely each person reacted was.8
  • Position, meals and coffee. The measurement is very sensitive to body position, and in research, meals, coffee and alcohol beforehand are controlled for.2

How to read it: your trend, not today's number

If so many things move it, a single night mixes too many causes. In a study with ten runners, the weekly average reflected how they were adapting to training better than the value of a single day.9 It is a very small sample, and of athletes, but the idea fits how researchers work: comparing each person with themselves over time.2

  • Look at your average over several weeks, not each morning's number.
  • Only compare data from the same device: each model measures differently.
  • Before drawing conclusions, think of the obvious: alcohol, a bad night, a hard workout or not feeling well.

If a change holds and you want to know whether a habit has anything to do with it, it helps to frame it as a question and a simple test; we explain this in how to turn a wellness data point into a question and a test.

How accurate watches and rings are

Consumer devices calculate HRV with a light sensor, not with an electrocardiogram. In a sleep lab with 53 young adults, all the models tested came in below the electrocardiogram on average; the one that was furthest off, which measured with a short test while awake, came in 22.4 ms below, and in several of them low values tended to come out higher and high values lower.10 In another study, with 13 adults and 536 nights, the mean error was 6% for the most accurate model and 16% for the least accurate.11

What your watch's HRV doesn't tell you

In population studies, lower HRV has been associated with higher cardiovascular risk and higher mortality.1213 These are associations in large groups, with other HRV measures and other recordings than those of a watch, and they don't make it possible to calculate one person's risk from the number on their watch.

The US Food and Drug Administration (FDA) may consider a sensor that displays HRV a wellness product if, among other conditions, it isn't intended to diagnose or treat and doesn't include diagnostic thresholds or alerts that call for medical action; it can display values, trends and personal baselines related to sleep, activity or recovery.14

If you notice palpitations, dizziness, shortness of breath or any symptom that worries you, see a health professional, whatever number your watch shows. A high HRV doesn't rule anything out either.

Your watch's HRV is useful for watching your own trend over weeks, with the same device and under similar conditions. It isn't a health score, it can't be compared with other people's, and it doesn't diagnose anything: if something worries you, the person to turn to is a health professional.

Keep reading

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Sources

Each small number in the text leads to the source that statement rests on. Practical advice without a number is a deduction from these sources, and examples with a person's name are made up. It is general information: it does not replace an assessment by a health professional. How we make this content

Sources consulted up to 15 October 2026.

  1. Narrative review. Shaffer F, Ginsberg JP (2017). An Overview of Heart Rate Variability Metrics and Norms. Frontiers in Public Health. Definitions, influencing factors and reference values from electrocardiogram recordings.
  2. Methodological recommendations. Laborde S, Mosley E, Thayer JF (2017). Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting. Frontiers in Psychology. Intended for research; they recommend comparing each person with themselves.
  3. Systematic review. Nunan D, Sandercock GR, Brodie DA (2010). A quantitative systematic review of normal values for short-term heart rate variability in healthy adults. Pacing and Clinical Electrophysiology. 44 studies of healthy adults, published between 1997 and 2008. We could only read the abstract.
  4. Population-based cross-sectional study. Voss A, Schroeder R, Heitmann A, Peters A, Perz S (2015). Short-Term Heart Rate Variability—Influence of Gender and Age in Healthy Subjects. PLoS ONE. 1,906 healthy adults from Augsburg (Germany), five-minute resting electrocardiogram.
  5. Cross-sectional study. Umetani K, Singer DH, McCraty R, Atkinson M (1998). Twenty-four hour time domain heart rate variability and heart rate: relations to age and gender over nine decades. Journal of the American College of Cardiology. 260 healthy people aged 10 to 99, 24-hour recording. We could only read the abstract.
  6. Observational study. Pietilä J, Helander E, Korhonen I, Myllymäki T, Kujala UM, Lindholm H (2018). Acute Effect of Alcohol Intake on Cardiovascular Autonomic Regulation During the First Hours of Sleep in a Large Real-World Sample of Finnish Employees: Observational Study. JMIR Mental Health. 4,098 employees; the doses and times of drinking were approximate.
  7. Systematic review and meta-analysis. Zhang S, Niu X, Ma J et al. (2025). Effects of sleep deprivation on heart rate variability: a systematic review and meta-analysis. Frontiers in Neurology. For RMSSD, four trials and a small effect.
  8. Literature review. Kim HG, Cheon EJ, Bai DS, Lee YH, Koo BH (2018). Stress and Heart Rate Variability: A Meta-Analysis and Review of the Literature. Psychiatry Investigation. 37 very different studies; despite the title, it doesn't pool their results into a single figure.
  9. Observational study. Plews DJ, Laursen PB, Kilding AE, Buchheit M (2013). Evaluating training adaptation with heart-rate measures: a methodological comparison. International Journal of Sports Physiology and Performance. Ten runners over nine weeks of training. We could only read the abstract.
  10. Validation study. Miller DJ, Sargent C, Roach GD (2022). A Validation of Six Wearable Devices for Estimating Sleep, Heart Rate and Heart Rate Variability in Healthy Adults. Sensors. 53 young, active adults, one night in a sleep lab.
  11. Validation study. Dial MB, Hollander ME, Vatne EA et al. (2025). Validation of nocturnal resting heart rate and heart rate variability in consumer wearables. Physiological Reports. 13 healthy adults, 536 nights, five devices.
  12. Meta-analysis of cohort studies. Hillebrand S, Gast KB, de Mutsert R et al. (2013). Heart rate variability and first cardiovascular event in populations without known cardiovascular disease: meta-analysis and dose-response meta-regression. Europace. Population associations; they can't be used to estimate an individual's risk. We could only read the abstract.
  13. Systematic review and meta-analysis. Jarczok MN, Weimer K, Braun C et al. (2022). Heart rate variability in the prediction of mortality: A systematic review and meta-analysis of healthy and patient populations. Neuroscience & Biobehavioral Reviews. Population associations; they can't be used to estimate an individual's risk. We could only read the abstract.
  14. Regulatory agency guidance. U.S. Food and Drug Administration (2026). General Wellness: Policy for Low Risk Devices. Guidance for Industry and Food and Drug Administration Staff. FDA (US). Nonbinding guidance from January 2026; it describes what a wellness product can display.

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