Updated Runima Team
How to Increase HRV — and What Low Means
What HRV (heart rate variability) is, why yours might be low, and how to actually increase it — with the evidence behind each lever, and its limits.

The number hiding between your heartbeats
Quick gut check. If your resting heart rate is 60 beats per minute, you might assume your heart fires politely once every second — tick, tick, tick. It doesn't. One gap might be 1.05 seconds, the next 0.92, the next 1.01. That shuffle is HRV: the variation in time between consecutive beats, measured from the R-peaks on an ECG (the "R-R" or "N-N" intervals).
Far from being a glitch, that variability is a feature. It's the fingerprint of your autonomic nervous system — the unconscious controller running your heart — and the constant tug-of-war between its two branches:
- The sympathetic branch (your accelerator): norepinephrine, "fight or flight," speeds the heart up.
- The parasympathetic branch (your brake): the vagus nerve releasing acetylcholine, "rest and digest," slows the heart down.
Here's the surprise most people miss: left entirely to itself, your heart's pacemaker (the sinoatrial node) fires far faster than your resting pulse. Measured under full pharmacological blockade of both branches, this intrinsic heart rate follows a simple age line — Jose and Collison's classic estimate is 118 − (0.57 × age) bpm, so roughly 105 bpm at 22 and about 90 by 50. The reason your resting pulse sits well below that is that your vagus nerve is riding the brake all day long. A high resting HRV mostly means that vagal brake is strong, responsive, and quick — a nervous system with range.
RMSSD vs SDNN: the alphabet soup, decoded
Open any HRV app and you're hit with acronyms. You really only need two — and to know which one is telling you what.
| Metric | What it measures | What it reflects | Best used for |
|---|---|---|---|
| RMSSD | Beat-to-beat scatter (root mean square of successive differences) | Vagal / parasympathetic activity | Recovery, readiness, short & wearable readings |
| SDNN | Total variability across the whole recording | Everything — sympathetic and parasympathetic | Overall variability, 24-hour clinical risk |
RMSSD is the workhorse. It tracks your vagal "brake" specifically, it's the most stable metric, and it barely cares how long you record: in a 3,387-subject analysis, a single 10-second strip at rest already agreed substantially with a full 5-minute reading (r ≈ 0.85–0.86), rising to r = 0.94 when three 10-second windows were averaged. SDNN needed about 30 seconds. Many apps show RMSSD as lnRMSSD (its natural logarithm) simply to tidy up a lopsided distribution. SDNN captures the bigger picture but is usually reported over a proper window — classically 24 hours — where a healthy adult lands around 141 ± 39 ms, with values under 50 ms (24-hour) flagging elevated risk. Crucially, 24-hour, 5-minute, and ultra-short SDNN values are not interchangeable with each other.
Then there's the frequency-domain crowd:
- HF (high frequency, 0.15–0.4 Hz) — vagal again, tied to breathing. RMSSD's spectral cousin.
- LF (low frequency, 0.04–0.15 Hz) — a mix of sympathetic, parasympathetic, and baroreflex activity.
- LF/HF ratio — once sold as "sympathovagal balance."
So what's a "good" HRV? (Wrong question)
Here's the part that frustrates everyone: there is no universal good number. HRV is fiercely individual, shaped by age, sex, genetics, fitness, and even which device you wear.
- Age drags it down. Across nine decades of data from Umetani and colleagues, the SDNN index falls to roughly 46% of its young-adult value by the tenth decade of life. Vagal metrics drop fastest in early adulthood, then partly plateau — sometimes even ticking back up in a gentle U-shape after about 60.
- Sex shifts it. Below ~30, women tend to show lower HRV but a faster resting pulse than men. In Umetani's data the gap in the vagal measures (RMSSD, pNN50) had disappeared by about age 30, while the gap in the SDNN family persisted well past it — so "when it closes" depends on which metric you're reading.
- The "normal" band is enormous. Pooling 5-minute recordings from 21,438 healthy adults, Nunan and colleagues put the average RMSSD at about 42 ms with a normal range of 19–75 ms — a nearly fourfold spread among perfectly healthy people. Well-trained endurance athletes routinely sit above that band.
How to actually raise it
The evidence here ranges from rock-solid to wishful. Sorted honestly:
Aerobic exercise — the heavyweight
The best-supported lever by a mile. In a meta-analysis of 16 RCTs (623 healthy adults) by Amekran & El Hangouche, training significantly lifted the vagal markers RMSSD (SMD 0.84) and HF power (SMD 0.89), plus total SDNN (SMD 0.58). A 2025 meta-analysis of 34 RCTs and 1,434 people found long-term training also improved autonomic balance (a lower LF/HF), especially once programs ran 8 weeks or longer.
Slow, paced breathing — the instant win
Breathe at roughly 6 breaths per minute (your "resonance frequency," usually 4.5–6.5 for adults) and you crank the baroreflex, swelling RSA and producing the largest heart-rate oscillations and highest HRV you can hit without exercise. Sustained as training, HRV biofeedback also nudges depressive symptoms (g ≈ 0.48). The acute effect works in minutes — no equipment required.
Sleep & sobriety — the multipliers
Good sleep raises nocturnal vagal activity; fragmented sleep tanks it. And alcohol is brutally dose-dependent: in 4,098 Finnish employees, an HRV-derived recovery score across the first 3 hours of sleep fell by 9.3, 24.0, and 39.2 percentage points after low, moderate, and high intake — dose-dependent in both men and women.
Meditation — the maybe
Popular, but the data don't support it yet. A meta-analysis of 19 RCTs found mindfulness and meditation did not significantly raise vagal HRV versus controls — neither in the main estimate (g = 0.38, CI −0.01 to 0.77) nor after removing an outlier (g = 0.19). Heterogeneity was extreme (I² = 89%). It may help your stress in other ways — just don't expect an HRV bump.
The athlete's secret: a slow, wild heart
This is where aerobic training earns its crown. Endurance work reshapes your heart's rhythm more profoundly than almost anything else you can do.
It drags your resting pulse down. In Huang and colleagues' meta-analysis of 13 trials in 651 older adults (aged 60+), endurance training cut resting heart rate by a net ~6 bpm — an 8.4% drop — with bigger reductions in programs longer than 30 weeks. The broader 191-study review by Reimers and colleagues put the endurance-training effect at about 4.5 bpm, or 6.0%, versus controls — and found the response is sharply sex-dependent: 9.0% in men against 5.2% in women. (Curiously, yoga matched it overall at 7.2%, and beat endurance work in women.)
How low does it go? Pro cyclists and marathoners commonly idle at 35–45 bpm, cross-country skiers at 32–40, and a few elite cyclists dip into the high 20s (Miguel Indurain was famously reported near 28). In one small ECG study of 22 national-level triathletes against 7 sedentary controls, resting heart rate averaged 53.8 vs 72.1 bpm (−34%), with sinus bradycardia in 68% of the athletes — a striking gap, but from a sample far too small to treat as a population norm. The far larger Pro@Heart cohort (465 current and former elite endurance athletes) is the better guide: a minimum heart rate at or below 40 bpm on 24-hour Holter was common and, along with 2–3 second pauses, carried no excess risk over 5.5 years of follow-up. Note that this is the lowest sustained rate of the day, not the number your watch shows as "resting." Truly extreme bradycardia (≤30 bpm) stayed uncommon even here — and a genetic heart-rate score independently doubled the odds of athlete bradycardia, so the pulse you end up with isn't training alone.
One honest caveat: the famously high HRV of endurance athletes is partly a statistical echo of that low heart rate — the two are mathematically entangled. So a sky-high HRV isn't purely a separate badge of fitness.
What about lifting and sprinting?
Anaerobic training — heavy resistance work, sprints, HIIT — matters here too, just with less emphasis in the literature and messier results. Effects tend to be smaller and concentrated in time-domain metrics like RMSSD and SDNN, possibly because hard contractions spike sympathetic drive and blunt the vagal rebound. That said, a network meta-analysis by Yang and colleagues ranked HIIT first for SDNN and RMSSD — and first for the LF/HF ratio as well — while combined training ranked best for LF power and resistance training for HF power. These are rankings among modalities, not head-to-head proof that one beats another, and the trials ran as short as four weeks. Different doors, same building.
Train by your HRV, not just your plan
If your nervous system is the thing adapting to training, why not let it call the shots? That's HRV-guided training: go hard on days your morning HRV sits at or above baseline, back off when it craters.
The payoff is narrower than the hype. In the meta-analysis by Düking and colleagues — just 8 studies and 198 participants — HRV-guided training beat predefined plans on submaximal physiological markers (g = 0.30, significant), but its effects on VO₂peak (g = 0.17) and on performance (g = 0.08) were small and statistically non-significant. What it does reliably do is get there differently: HRV-guided groups typically completed fewer moderate- and high-intensity sessions, and fewer individuals responded negatively. Read that as a plausible efficiency gain on a thin evidence base — not as a proven route to a bigger engine.
Do the gadgets actually work?
The gold standard is an ECG (a clinical machine or a chest strap), which reads the heart's electrical signal directly. Most watches and rings instead use photoplethysmography (PPG) — shining light through skin to detect blood-volume pulses — which is more vulnerable to motion, noise, skin tone, and algorithmic smoothing.
So how close do they get? A 2025 validation study by Dial and colleagues pitted five devices against ECG across 536 nights of sleep — though from only 13 participants (mean age 33), each wearing several devices at once, so read the ranking as indicative rather than settled:
| Device | Nocturnal HRV agreement (CCC) | Avg. error (MAPE) |
|---|---|---|
| Oura Ring Gen 4 | 0.99 | 5.96% |
| Oura Ring Gen 3 | 0.97 | 7.15% |
| WHOOP 4.0 | 0.94 | 8.17% |
| Garmin Fenix 6 | 0.87 | 10.52% |
| Polar Grit X Pro | 0.82 | 16.32% |
The metric here is nocturnal RMSSD, and every device underestimated it relative to ECG. For resting heart rate, errors were far smaller across the board (Oura within ~2%, WHOOP and Polar ~3%; Garmin was excluded from that comparison for methodological reasons). The pattern is clear: finger-worn rings beat wrist devices, because the fingertip's rich blood supply gives a cleaner signal, and a true chest-strap ECG beats everything.
The big one: HRV, disease, and how long you'll live
This is where a "fitness toy" turns into a genuine health signal — and the numbers come from enormous studies.
Mortality. In a meta-analysis of 28 cohorts (3,094 cardiac patients) by Fang, Wu & Tsai, low HRV was tied to roughly double the risk of all-cause death (HR 2.12) and a 46% higher risk of cardiovascular events — though the signal came mainly from post-heart-attack patients and was not statistically significant in the heart-failure subgroup. In the general population the effect is real but more moderate: Jarczok and colleagues pooled 32 studies and 38,008 people and found the lowest quartile of 5-minute RMSSD carried a hazard ratio of 1.56 for all-cause mortality. The Framingham Heart Study found reduced HRV predicted death in the elderly independent of the usual risk factors.
Resting heart rate tells a parallel story. In a meta-analysis of 46 studies and ~1.25 million people by Zhang and colleagues, every 10-bpm increase in resting heart rate raised all-cause mortality by about 9% and cardiovascular mortality by 8% — and a resting pulse above 80 bpm carried 45% higher all-cause mortality than the lowest group. A faster resting heart rate even predicts higher cancer mortality.
It's not just the heart. Low HRV travels with a whole cluster of conditions:
- Anxiety disorders — a meta-analysis of 36 studies by Chalmers and colleagues found reduced HRV across panic disorder, PTSD, GAD, and social anxiety (a small-to-moderate effect; OCD was the exception).
- Depression — consistently lower HRV; notably, older tricyclic antidepressants suppress it more than SSRIs.
- Diabetes — falling HRV is an early fingerprint of cardiac autonomic neuropathy, a serious complication.
- Inflammation — markers like CRP and IL-6 move inversely with vagal HRV, reflecting the vagus nerve's "cholinergic anti-inflammatory" role.
What the daily wobble actually means
People panic when their HRV jumps around day to day. Don't — that scatter is normal and expected. The clearest demonstration is for the simpler metric: tracking 92,457 adults, Quer and colleagues showed that even resting heart rate — a far more stable number than HRV — swings meaningfully with sleep, age, sex, BMI and season, and varies enormously between individuals. If the steady metric wanders that much, the twitchy one wanders more.
Within a single day, HRV follows a genuine circadian rhythm: vagal markers like RMSSD and HF power peak overnight, with the daily maximum falling in the small hours through early morning, and the trough during the daytime — LF/HF peaks in the afternoon, when heart rate itself is highest. (This is one reason the "measure on waking" rule matters: you're sampling near the top of the curve, so drifting your measurement time by two hours can move the number more than your training did.) On top of that it shifts with posture, digestion, breathing rate, caffeine, and mood. Day to day, it rides your training load, sleep quality, alcohol, hydration, menstrual cycle, and the first stirrings of an illness.
- Benign — a single low reading after a hard session, a short night, a few drinks, or a stressful day, that bounces back within 1–3 days.
- Worth watching — a sustained downward drift over many days or weeks, especially with a rising resting pulse, poor sleep, and fading performance. That's the signature of accumulating stress, illness, or non-functional overreaching.
Your practical playbook
Measure it right
Same time (ideally on waking), same posture, same device. Spend 7–10 days building your baseline before you read anything into it.
Read the trend
Watch a rolling average against your own normal. Green (HRV at/above baseline) → train hard. Red (HRV down, pulse up, sleep poor) → recover.
Stack the signals
Never judge by HRV alone. Combine it with resting heart rate, sleep, how you feel, and your training load.
Move the needle
Consistent aerobic exercise is the best-evidenced lever. Protected sleep and less alcohol reliably stop you losing ground. Slow 6-breaths-per-minute breathing raises HRV in the moment — pleasant and free, with weaker evidence for lasting change.
The takeaway
Your resting heart rate tells you how hard your heart is working at rest. Your HRV tells you how adaptable the system behind it is — and both point the same way: a slower, more variable heart at rest is the signature of fitness, resilience, and, on average, a longer life. Worth keeping the evidence in proportion, though. The million-plus figure belongs to the resting-heart-rate literature; the HRV mortality evidence rests on a smaller base of roughly 38,000 people, and it is associative — low HRV travels with poor outcomes, but no trial has shown that raising your HRV number extends your life.
But it's a compass, not a verdict. The magic isn't in chasing a higher number for its own sake — it's that the very things which raise HRV and lower your pulse (aerobic training, sleep, sobriety, calm) are the things that build a healthier you anyway. Build the engine. Protect the recovery. Then let the wobble between your heartbeats tell you how it's going.
References
- 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. J Am Coll Cardiol. 31(3):593–601.
- Nunan D, Sandercock GRH, Brodie DA (2010). A quantitative systematic review of normal values for short-term heart rate variability in healthy adults. Pacing Clin Electrophysiol. 33(11):1407–1417.
- Shaffer F, Ginsberg JP (2017). An overview of heart rate variability metrics and norms. Front Public Health. 5:258.
- Jose AD, Collison D (1970). The normal range and determinants of the intrinsic heart rate in man. Cardiovasc Res. 4(2):160–167.
- Munoz ML et al. (2015). Validity of (ultra-)short recordings for heart rate variability measurements. PLoS One. 10(9):e0138921.
- Amekran Y, El Hangouche AJ (2024). Effects of exercise training on heart rate variability in healthy adults: a systematic review and meta-analysis of randomized controlled trials. Cureus. 16(6):e62465.
- Zhang W, Bi S, Luo L (2025). The impact of long-term exercise intervention on heart rate variability indices: a systematic meta-analysis. Front Cardiovasc Med. 12:1364905.
- Huang G, Shi X, Davis-Brezette JA, Osness WH (2005). Resting heart rate changes after endurance training in older adults: a meta-analysis. Med Sci Sports Exerc. 37(8):1381–1386.
- Reimers AK, Knapp G, Reimers CD (2018). Effects of exercise on the resting heart rate: a systematic review and meta-analysis of interventional studies. J Clin Med. 7(12):503.
- D'Souza A et al. (2014). Exercise training reduces resting heart rate via downregulation of the funny channel HCN4. Nat Commun. 5:3775. (Animal study — mice and rats.)
- Bahrainy S et al. (2016). Exercise training bradycardia is largely explained by reduced intrinsic heart rate. Int J Cardiol. 222:213–216.
- Boyett MR et al. (2015). Exercise training-induced bradycardia: evidence for enhanced parasympathetic regulation without changes in intrinsic sinoatrial node function. J Appl Physiol. 119(12):1467–1471.
- Herzig D et al. (2018). The association between endurance training and heart rate variability: the confounding role of heart rate. Front Physiol.
- Yang F, Ma Y, Liang S, Shi Y, Wang C (2024). Effect of exercise modality on heart rate variability in adults: a systematic review and network meta-analysis. Rev Cardiovasc Med. 25(1):9.
- Düking P et al. (2021). Monitoring and adapting endurance training on the basis of heart rate variability monitored by wearable technologies: a systematic review with meta-analysis. J Sci Med Sport.
- D'Ambrosio P, De Paepe J, Spencer LW, et al. (2026). Bradycardia in athletes: prevalence, mechanisms, and risks. Circulation. 153:616–630. (Pro@Heart Consortium.)
- Climstein M, Graham KS, Stapelberg M, et al. (2025). Electrocardiographic assessment of national-level triathletes: sinus bradycardia and other electrocardiographic abnormalities. Sports (Basel). 13(1):25.
- Pietilä J, Helander E, Korhonen I, Myllymäki T, Kujala U, 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 Ment Health. 5(1):e23.
- Pizzoli SFM et al. (2021). A meta-analysis on heart rate variability biofeedback and depressive symptoms. Sci Rep. 11:6650.
- Donnelly D, Georgiadis E, Stavrou N (2023). A meta-analysis investigating the outcomes and correlation between heart rate variability biofeedback training on depressive symptoms and heart rate variability outcomes versus standard treatment in comorbid adult populations. Acta Biomed. 94(4):e2023214.
- Brown L, Rando AA, Eichel K, et al. (2021). The effects of mindfulness and meditation on vagally mediated heart rate variability: a meta-analysis. Psychosom Med. 83(6):631–640.
- Dial MB et al. (2025). Validation of nocturnal resting heart rate and heart rate variability in consumer wearables. Physiol Rep. 13:e70527.
- Fang SC, Wu YL, Tsai PS (2020). Heart rate variability and risk of all-cause death and cardiovascular events in patients with cardiovascular disease: a meta-analysis of cohort studies. Biol Res Nurs. 22(1):45–56.
- Jarczok MN et al. (2022). Heart rate variability in the prediction of mortality: a systematic review and meta-analysis of healthy and patient populations. Neurosci Biobehav Rev.
- Yadav I et al. (2025). Heart rate variability as a predictor of mortality in heart failure: a systematic review and meta-analysis. Cureus.
- Zhang D, Shen X, Qi X (2016). Resting heart rate and all-cause and cardiovascular mortality in the general population: a meta-analysis. CMAJ. 188(3):E53–E63.
- Pozuelo-Carrascosa DP et al. (2021). Resting heart rate as a predictor of cancer mortality: a systematic review and meta-analysis. J Clin Med.
- Chalmers JA, Quintana DS, Abbott MJ, Kemp AH (2014). Anxiety disorders are associated with reduced heart rate variability: a meta-analysis. Front Psychiatry. 5:80.
- Quer G et al. (2020). Inter- and intraindividual variability in daily resting heart rate and its associations with age, sex, sleep, BMI, and time of year: retrospective, longitudinal cohort study of 92,457 adults. PLoS One. 15(2):e0227709.
- Boudreau P et al. (2013). Circadian variation of heart rate variability across sleep stages. Sleep. 36(12):1919–1928.
- Buchheit M (2014). Monitoring training status with HR measures: do all roads lead to Rome? Front Physiol. 5:73.
- Respiratory sinus arrhythmia — an overview. ScienceDirect Topics.
- Heart rate variability. Wikipedia.
- Athletic heart syndrome. Wikipedia.
This article is for general education and isn't medical advice. A slow heart rate or low HRV can be a sign of excellent fitness — or, with symptoms like dizziness, fainting, fatigue, or chest pain, a reason to see a clinician. Wearable data is a screening aid, not a diagnosis.


