Among 2,798 Danish men followed for 16 years in the Copenhagen Male Study, each additional 10 beats per minute of resting heart rate carried a 16 percent higher risk of death. Men whose resting rate was above 90 died at 3.06 times the rate of men at 50 or below. The finding held after Jensen and colleagues (2013) adjusted for aerobic fitness measured on a bicycle ergometer, for leisure-time activity and for the usual cardiovascular risk factors. A slow resting heart rate is partly a marker of fitness. The Copenhagen data say it carries information beyond fitness too.
That is the long-term view, one measurement per person averaged across thousands of people. Day to day the number works differently. Your resting heart rate on a given morning reflects last night's drinks, a cold coming on, a heavy training week or a hot bedroom, and the useful comparison is with your own recent history. This article covers both uses, from CDC reference values and training adaptation through the causes of an above-baseline morning, the mortality evidence and the limits of a wrist sensor. It ends with how Titan's Recovery score reads the number.
01What resting heart rate measures
The rate at the lowest workload of the day
Resting heart rate is the number of beats per minute your heart needs to meet your body's oxygen demand when you are doing as little as possible. It has no single measurement protocol, and the protocol changes the number.
A clinic reading is usually a seated pulse after a few minutes of quiet. The CDC reference data below used exactly that. A physician counted the radial pulse for 30 seconds after the participant had sat quietly for about 4 minutes, then doubled the count (Ostchega, 2011). A reading taken lying in bed before you stand sits lower, because lying still cuts demand. A sleeping average sits lower again, since sleep brings the lowest metabolic and sympathetic activity of the 24 hours.
Wearables add a fourth version. Titan's help center notes that Apple Watch samples resting heart rate throughout the day, so a score built on it can drift after you wake. A daytime estimate, a morning spot check and a sleep average for the same person on the same day can differ by several beats. Pick one method and keep it, because a change in method looks exactly like a change in physiology.
Why a stronger heart beats less often
Cardiac output is heart rate multiplied by stroke volume, the blood ejected with each beat. At rest an adult needs roughly 5 liters of blood per minute. A heart that ejects 70 milliliters per beat has to beat about 71 times a minute to supply that. A heart that ejects 100 milliliters needs 50 beats. Demand is the same in both cases. The difference is how much each beat moves.
Endurance training raises stroke volume by expanding plasma volume and enlarging the left ventricle, so the same resting output takes fewer beats. Buchheit (2014), reviewing heart rate monitoring in athletes, lists the determinants of resting heart rate as cardiac morphology, plasma volume, autonomic activity, age and body position. Those move on different timescales. Plasma volume shifts within days, ventricular remodeling takes months and autonomic balance changes overnight with a drink or an infection. That mix lets one number serve as both a slow fitness marker and a fast stress marker.
02Normal resting heart rate by age and sex
The best population reference for U.S. adults comes from the National Health and Nutrition Examination Survey. Ostchega and colleagues (2011) analyzed NHANES data from 1999 to 2008 and built a normative sample of 35,302 people, 14,200 of them adults. They excluded anyone likely to have an active infection, anyone taking a drug that changes heart rate such as beta blockers or decongestants, pregnant women, people with irregular pulses and people with abnormal thyroid function.
| Age group | Men, mean | Men, 5th to 95th percentile | Women, mean | Women, 5th to 95th percentile |
|---|---|---|---|---|
| 20 to 39 | 71 bpm | 52 to 89 bpm | 76 bpm | 57 to 95 bpm |
| 40 to 59 | 71 bpm | 52 to 90 bpm | 73 bpm | 56 to 92 bpm |
| 60 to 79 | 70 bpm | 50 to 91 bpm | 73 bpm | 56 to 92 bpm |
| 80 and up | 71 bpm | 51 to 94 bpm | 73 bpm | 56 to 93 bpm |
Source: Ostchega Y et al. (2011), CDC National Health Statistics Report 41, Tables 2 and 3. Seated radial pulse, NHANES 1999 to 2008, excluding people with conditions or medications that affect pulse rate.
Men are flat across adulthood, at 70 to 71 bpm from their twenties into their eighties. Women start higher and decline, from 76 bpm in their twenties and thirties to 73 bpm from 40 onward. Across all adults the mean is 72 bpm, with women at 74 and men at 71. The usual explanation for the sex gap is heart size. A smaller left ventricle ejects less blood per beat, so the same output takes more beats. Childhood runs far higher, with a mean of 129 bpm before age 1, 96 bpm at ages 4 to 5 and 78 bpm at 12 to 15.
The clinical definition of normal, 60 to 100 bpm, is wider than the adult distribution. Only 1.3 percent of men and 1.9 percent of women in the sample had a resting pulse of 100 or higher. Readings below 60 were common, at 15.2 percent of men and 6.9 percent of women, and the report cites a revised guideline that moves the thresholds to 50 and 90. For a healthy, active adult, a reading in the 50s is ordinary.
Two limits apply. Each participant was measured once, and for a subset measured on two different days the intraclass correlation was only 0.69, so one reading is a noisy estimate of a person's true rate. The table also describes seated daytime pulse. A sleep-derived value from a watch will usually read lower than the column for your age because of the measurement method.
03Resting heart rate by fitness level
From sedentary to recreationally active
The population means above describe a mostly untrained sample. Regular aerobic exercise moves the number down, by less than most people expect.
Reimers and colleagues (2018) pooled 191 controlled exercise studies covering 215 samples and 12,952 participants. The median program lasted 12 weeks at 3 sessions per week. In the 121 endurance trials, resting heart rate fell from 72.4 to 68.0 bpm, a 6.0 percent drop, while control groups barely moved. Men in endurance trials fell from 70.3 to 64.0 bpm and women from 73.6 to 69.8 bpm. A sedentary adult who starts running three times a week should expect a few beats of change over the first three months. That is a real adaptation, and it is still a long way from an athlete's number.
Where trained endurance athletes land
Endurance athletes with years of aerobic volume often sit well below the population range, which clinicians call athletic sinus bradycardia. The CDC table shows how far out that is. The 5th percentile for men aged 20 to 39 is 52 bpm and the 1st percentile is 47, so a trained runner at 44 bpm sits below nearly the entire reference population. The Copenhagen study used 50 bpm or below as its lowest category, and that group had the lowest mortality.
A low number does not prove fitness. Beta blockers, an underactive thyroid and disease of the heart's conduction system all slow the resting rate, which is why the CDC excluded those people from its reference sample. D'Souza and colleagues (2014) also note that endurance athletes have a higher incidence of sinus node disease and pacemaker implantation. A low rate that arrived with years of training and comes with no symptoms is the expected pattern. A low rate with dizziness, fainting, unusual breathlessness or a fall in exercise tolerance needs a clinician, whatever your training history.
04How training lowers resting heart rate
The Reimers meta-analysis is the best single source on which kinds of exercise move resting heart rate. Every type lowered it on average. Only endurance training and yoga lowered it significantly in both men and women.
| Exercise type | Trials | Resting HR before | Resting HR after | Change |
|---|---|---|---|---|
| Endurance | 121 | 72.4 bpm | 68.0 bpm | −6.0% |
| Yoga | 21 | 76.1 bpm | 70.4 bpm | −7.2% |
| Strength | 43 | 69.1 bpm | 67.8 bpm | −2.5% |
Source: Reimers AK et al. (2018), Journal of Clinical Medicine, Table 2. Intervention groups only.
Strength training produced the smallest change. It reached significance in women, at about 2 bpm, and missed it in men. If a lower resting heart rate is one of your goals, the aerobic part of the week does most of the work, and the endurance training guide covers how to structure it. Two modifiers shaped the response. People who started with a higher resting heart rate dropped further, and younger participants dropped more than older ones who trained just as much.
The mechanism is less settled than most fitness writing suggests. The classic account has two parts, a larger stroke volume and stronger vagal control of the heart at rest. Reimers and colleagues point to human work suggesting that neither increased parasympathetic tone nor a changed response to adrenaline explains the drop, which leaves a slower rate set by the heart's own pacemaker. D'Souza and colleagues (2014) tested that in trained and sedentary mice. The trained animals kept their slower rate after drug blockade of the autonomic nervous system, and in isolated sinus node tissue with no nerve supply. The cause was remodeling of pacemaker ion channels, chiefly a downregulation of HCN4 and the "funny" current it carries. Blocking that current erased the difference between trained and sedentary animals.
Mouse data do not settle the human case. The reasonable reading is that training lowers resting heart rate by more than one route, with stroke volume, autonomic balance and the sinus node each playing a part. Their relative shares probably differ between a new exerciser and an athlete with ten years of volume.
05When resting heart rate rises above your own baseline
A single morning reading is noisy. Buchheit (2014) put the typical error of resting heart rate at around 10 percent, which for a baseline of 55 bpm is 5 or 6 beats. For daily decisions a personal baseline beats a population chart. The question is whether today is unusual for you, and whether it stays unusual.
In Titan, the Health card on Today lists HRV, resting heart rate, respiratory rate and blood oxygen together. Its resting heart rate is the latest reading from the past day, widening to a 3-day and then a 7-day average if nothing is found. Tapping the card opens Vitals, where each reading gets a baseline, the median for the period you pick, and a shaded band covering the 20th to 80th percentile of your daily values. A tile labels the latest value Above, Within or Below. Titan describes the band as personal and states that it is not a clinical reference range. See Vitals and the Today screen guide.
Four causes account for most mornings above that band, and each has its own pattern.
Incoming illness
An infection raises resting heart rate, often before you feel sick. Mishra and colleagues (2020) analyzed smartwatch data from nearly 5,300 people and found 32 who caught COVID-19. Twenty-six of them, 81 percent, showed changes in heart rate, daily steps or sleep. Of the 25 with symptom dates, 22 showed the change before or at symptom onset, four of them at least nine days early. An alert based on extreme rises in resting heart rate against each person's own baseline would have flagged 63 percent of cases before symptoms, in real time.
Quer and colleagues (2021) enrolled 30,529 people. Among the 333 symptomatic participants with test results, symptoms plus smartwatch and activity tracker data separated positive from negative cases with an area under the curve of 0.80, against 0.71 for symptoms alone. Only 54 tested positive, so the figures carry wide uncertainty, and the direction matches Mishra's. Physiology from a wearable adds information that how you feel does not yet provide.
The illness pattern is a rise that persists or grows over two or more mornings with no training or alcohol to explain it. Treat it as a reason to cut intensity before symptoms arrive.
Overreaching and accumulated training fatigue
A hard session can leave resting heart rate a beat or two higher the next morning, which is normal. The signal worth acting on is a trend across a block. Overreaching is the state where accumulated load outruns recovery, and heart rate can move either way under it.
Buchheit's review sets out the patterns. When resting HRV falls and resting heart rate rises outside a taper, the likely mechanism is increased sympathetic activity and the practical reading is accumulated fatigue. Some athletes with a long training history show a different picture, with HRV and resting heart rate falling together. Buchheit and Plews call this parasympathetic saturation. The lower heart rate looks like good news on its own and hides a fatigue signal that only the pairing with HRV exposes. Plews and colleagues (2013), working with elite endurance athletes, argue that only longitudinal monitoring shows which pattern belongs to which athlete.
The fatigue pattern builds over several days to a couple of weeks, tracks rising load and resolves with a lighter week. The training load article shows how Titan tracks that load.
Alcohol the night before
Alcohol produces the sharpest single-night rise of the four. Pabon and colleagues (2022) gave 31 healthy adults alcohol, 1.0 g/kg for men and 0.85 g/kg for women, or a placebo on two lab nights. For a 75 kg man that dose is about five U.S. standard drinks, and it brought breath alcohol to about 0.1 percent. Mean nocturnal heart rate was 56.4 bpm after placebo and 65.0 bpm after alcohol. Total sleep time fell by about 15 minutes and REM sleep fell from 20.0 to 16.5 percent of the night.
Pietilä and colleagues (2018) covered smaller doses in daily life. They compared each of 4,098 Finnish employees' nights with and without alcohol over the first three hours of sleep. Heart rate rose by 1.4 bpm after low intake, up to 0.25 g/kg, by 4.0 bpm after moderate intake and by 8.7 bpm after high intake, above 0.75 g/kg. For a 75 kg person, 0.25 g/kg is a little over one standard drink and 0.75 g/kg is about four. RMSSD, a vagal HRV measure, fell by 2.0, 5.7 and 12.9 ms across the same groups. The heart rate effect was larger in younger people and similar across sex and activity level.
The alcohol pattern is a one-night spike with a known cause that fades within a night or two.
Heat and dehydration
Heat raises heart rate by a different route. Crandall and Wilson (2015) describe how passive heat stress can double cardiac output to carry heat to the skin. The heart holds stroke volume steady while its filling pressure falls, so the extra output comes from a higher rate. A warm bedroom or a heat wave can raise an overnight reading with no change in fitness or fatigue.
Fluid loss adds to it. Watso and Farquhar (2019) reviewed how low body water raises sympathetic nerve activity and vasopressin release, both of which push heart rate up to defend blood pressure. The clearest numbers come from exercise. Adams and colleagues (2014) pooled 20 studies of exercise in the heat and found heart rate rose about 3 bpm for each 1 percent of body mass lost. Those figures come from exercise, and none of these studies measured the resting effect directly. They show the direction. A long session on a hot day followed by poor hydration can leave the next morning's reading elevated, and it clears once you cool down and drink.
Telling the four apart
| Cause | Typical onset | Typical duration | What else to check |
|---|---|---|---|
| Illness | Often before symptoms | Persists or grows over days | Symptoms, other vitals, no other explanation |
| Overreaching | Gradual over a block | Days to weeks, clears with rest | Rising training load, falling HRV |
| Alcohol | The night of drinking | One or two nights | What you drank and when |
| Heat or dehydration | Hot days or nights | Clears with cooling and fluids | Room temperature, sweat losses, thirst |
06Resting heart rate and HRV answer different questions
Resting heart rate is an average, the number of beats across a stretch of time. HRV measures how much the gap between beats varies within that stretch, and at rest most of that variation reflects vagal control. Two people can share a resting rate of 55 bpm with very different beat-to-beat variation, and one person can hold a steady resting rate while HRV falls.
The evidence gives HRV a small edge. In the studies Buchheit (2014) reviewed, one found a signal-to-noise ratio of 3 for a vagal HRV index against 1.3 for resting heart rate in fatigued athletes. In another, HRV tracked non-functional overreaching slightly better than resting heart rate, with correlations of 0.88 and 0.81. Those numbers are close, and Buchheit's practical advice is to read the two together, judging a drop in rMSSD against the same morning's resting heart rate.
- HRV down and resting heart rate up is the sympathetic stress pattern shared by illness, alcohol, heat and accumulated fatigue.
- HRV down and resting heart rate down, in an athlete with a long training history, fits parasympathetic saturation. Treat it as fatigue if it persists through a lighter week.
- HRV up with resting heart rate down or steady is the pattern Buchheit describes as coping well with training.
Titan uses no fixed HRV threshold. The rule of thumb this blog uses outside the app is that a morning HRV more than one median absolute deviation below your baseline median for two or more consecutive days, with resting heart rate above baseline, is a signal to pull intensity. The Recovery score article and personal baselines article explain how Titan measures both against your own history, and the HRV and recovery readiness guide works the rule through real weeks.
Apple records HRV as SDNN, and Titan uses that value unless you turn on Use RMSSD for HRV under Settings > Recovery & Sleep > Recovery Preferences. Buchheit's recommendations are written for rMSSD. The Apple Watch support article covers the switch and the cache reset it needs.
07What a persistently elevated resting heart rate predicts long term
The mortality evidence is large and consistent in direction. It describes differences between people, which is different from changes within one person.
Zhang and colleagues (2016) pooled 46 prospective studies with 1,246,203 participants and 78,349 deaths. Each 10 bpm increase in resting heart rate carried a relative risk of 1.09 for all-cause mortality and 1.08 for cardiovascular mortality. Compared with the lowest category, people at 60 to 80 bpm had a relative risk of 1.12 for death from any cause and people above 80 bpm had 1.45. All-cause risk rose in a straight line from 45 bpm upward, while cardiovascular risk became significantly higher only at about 90 bpm. The authors flagged substantial heterogeneity and publication bias.
Aune and colleagues (2017) pooled 87 studies and broke the risk out by outcome.
| Outcome | Relative risk per 10 bpm higher |
|---|---|
| Coronary heart disease | 1.07 |
| Sudden cardiac death | 1.09 |
| Heart failure | 1.18 |
| Atrial fibrillation | 0.97, J-shaped curve |
| Total stroke | 1.06 |
| Cardiovascular disease | 1.15 |
| Total cancer | 1.14 |
| All-cause mortality | 1.17 |
Source: Aune D et al. (2017), Nutrition, Metabolism and Cardiovascular Diseases.
Atrial fibrillation is the exception. Its curve is J-shaped, so risk rises at both the low and high ends of resting heart rate.
The Copenhagen study adds the fitness control most cohorts lack. Jensen and colleagues found resting heart rate stayed a risk factor after adjusting for measured aerobic capacity, at 20 percent per 10 bpm in smokers and 14 percent in non-smokers. Fitness was tested in 1970 and 1971 and resting heart rate in 1985 and 1986, so the two measures are 15 years apart. The VO2 max article covers fitness and mortality directly.
Nanchen and colleagues (2013) looked for a mechanism in 4,084 adults aged 70 to 82. Over 3.2 years, the highest third of resting heart rate had a hazard ratio of 1.78 for heart failure hospitalization and 1.74 for cardiovascular death against the lowest third. Higher heart rate went with higher C-reactive protein, interleukin-6 and markers of endothelial dysfunction. Adjusting for interleukin-6 and von Willebrand factor cut the ratios to 1.60 and 1.50, so inflammation and vascular damage explain part of the link.
Three limits keep these numbers in proportion. A relative risk of 1.17 scales your existing risk, and for a healthy 35-year-old the absolute difference is small. The comparisons are between people, so a 10 bpm rise in you after a bad week says nothing about mortality. And as Reimers and colleagues point out, no trial has shown that lowering an elevated resting heart rate with treatment reduces mortality, so the link may not be causal. The practical point is narrower. A resting rate that stays high for months with no training, illness or medication to explain it is worth raising with a doctor.
08How Apple Watch measures resting heart rate
Apple Watch, like most wrist wearables, reads heart rate by photoplethysmography, an optical method that tracks changes in blood volume under the skin. Green light shines into the wrist and a photodiode measures how much comes back as each pulse passes.
Bent and colleagues (2020) tested these sensors against an ECG patch in 53 people spread evenly across all six Fitzpatrick skin tone groups, using Apple Watch 4, Fitbit Charge 2, Garmin Vivosmart 3, Xiaomi Miband and two research-grade devices. At seated rest the consumer devices averaged a mean absolute error of 7.2 bpm, and during activity the error ran about 30 percent higher. Accuracy did not differ significantly by skin tone and did differ between devices. The authors judged the wearables reasonably accurate at rest and during sustained elevated heart rate, and weaker when heart rate changed quickly. Apple's own listed factors that degrade its reading are skin perfusion, tattoos and rhythmic movement.
The rest phase in that study lasted 4 minutes. A daily resting value built from many readings across a day or night averages away much of the random error, though it cannot correct a consistent bias. Consistency of method matters more than any single reading.
Titan reads resting heart rate from Apple Health, so your source settings decide which readings Titan sees. Enable Titan to Save Resting Heart Rates, off by default, keeps the first valid Recovery score Titan saves for today when later readings arrive; it does not write resting heart rate samples to Apple Health. Find it under Settings > Recovery & Sleep > Recovery Preferences, reached from the avatar on Today, then You > Settings. If a ring or another app also writes resting heart rate, choose the source you want under Settings > Health & Connected Apps > Data Sources & Integrations > HealthKit Sources > Resting Heart Rate. The Apple Watch support article lists each control, and the wearable data quality guide compares devices.
09The resting heart rate row on the Recovery screen
Titan's Recovery score is where resting heart rate becomes a training decision. Tap the Recovery card on Today to open the detail screen. The "What shapes your score" section has a resting heart rate row showing today's value, your baseline and the difference in bpm. Tap it to see the baseline window length, the percent change from baseline and a daily chart. The app notes that these rows show direction and are not exact contributions to the score.
Recovery uses one resting heart rate value per day, today's reading from Apple Health, falling back to your 3-day and then 7-day average. Your baseline is the median of your daily resting heart rate across the Recovery window you chose during onboarding, 7, 30 or 60 days, with 60 as the default. The current version has no Settings control to change it afterward. A 7-day window follows a hard block quickly, and a 60-day window holds your longer normal and shows a rough week as a drop. The personal baselines article covers each window, and the RHR Baseline tile under Your Fitness on the You screen shows the value in use.
Resting heart rate enters the score twice.
| Signal | What it measures | Weight |
|---|---|---|
| HRV vs baseline | Distance from the baseline median, in median absolute deviations | +1.0 |
| Resting HR vs baseline | Distance from the baseline median, in median absolute deviations | −0.7 |
| HRV change this week | Today's HRV minus the 7-day median, in ms | +0.5 |
| Resting HR change this week | Today's resting HR minus the 7-day median, in bpm | −0.3 |
| HRV variability | Coefficient of variation of daily HRV | −0.4 |
The negative weights mean a resting heart rate above baseline pulls the score down. The first term counts distance in median absolute deviations, your own normal day-to-day spread. With a median of 54 bpm and a typical deviation of 2 bpm, a 58 bpm morning sits two deviations above baseline. For someone whose rate usually swings by 4 bpm, the same 58 is one deviation out. The second term counts plain beats above your last week, so a climb across several days registers on its own. HRV carries the larger weight, which fits Buchheit's signal-to-noise comparison.
Titan adds the weighted signals, passes the total through a logistic curve and places the result against your last 60 Recovery calculations, with your 10th percentile at 0 and your 90th at 100. Scores of 0 to 39 are Low, 40 to 74 Moderate and 75 to 100 High.
The full model needs at least 7 days of both HRV and resting heart rate in the window, with readings on at least 60 percent of its days. Until then Titan shows a fallback. Its resting heart rate part starts at 100 and drops 2 points for each beat above 40 bpm, and the score averages that with your HRV in ms, capped at 100. HRV of 50 ms and a resting heart rate of 55 bpm give 50 and 70, so the fallback reads 60. The fallback is the only place Titan judges resting heart rate on an absolute scale. A woman in her thirties at the CDC median of 74 bpm scores 32 on that part, and a man at 52 bpm scores 76. Expect both numbers to move once the personal model takes over and compares each of them with their own history.
10References
- Jensen MT et al. (2013). Elevated resting heart rate, physical fitness and all-cause mortality: a 16-year follow-up in the Copenhagen Male Study. Heart. https://doi.org/10.1136/heartjnl-2012-303375
- Ostchega Y et al. (2011). Resting pulse rate reference data for children, adolescents, and adults: United States, 1999-2008. National Health Statistics Reports, no. 41. https://www.cdc.gov/nchs/data/nhsr/nhsr041.pdf
- Buchheit M (2014). Monitoring training status with HR measures: do all roads lead to Rome? Frontiers in Physiology. https://doi.org/10.3389/fphys.2014.00073
- Reimers AK et al. (2018). Effects of exercise on the resting heart rate: a systematic review and meta-analysis of interventional studies. Journal of Clinical Medicine. https://doi.org/10.3390/jcm7120503
- D'Souza A et al. (2014). Exercise training reduces resting heart rate via downregulation of the funny channel HCN4. Nature Communications. https://doi.org/10.1038/ncomms4775
- Mishra T et al. (2020). Pre-symptomatic detection of COVID-19 from smartwatch data. Nature Biomedical Engineering. https://doi.org/10.1038/s41551-020-00640-6
- Quer G et al. (2021). Wearable sensor data and self-reported symptoms for COVID-19 detection. Nature Medicine. https://doi.org/10.1038/s41591-020-1123-x
- Plews DJ et al. (2013). Training adaptation and heart rate variability in elite endurance athletes: opening the door to effective monitoring. Sports Medicine. https://doi.org/10.1007/s40279-013-0071-8
- Pabon E et al. (2022). Effects of alcohol on sleep and nocturnal heart rate: relationships to intoxication and morning-after effects. Alcoholism: Clinical and Experimental Research. https://doi.org/10.1111/acer.14921
- Pietilä J et al. (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. https://doi.org/10.2196/mental.9519
- Crandall CG and Wilson TE (2015). Human cardiovascular responses to passive heat stress. Comprehensive Physiology. https://doi.org/10.1002/cphy.c140015
- Watso JC and Farquhar WB (2019). Hydration status and cardiovascular function. Nutrients. https://doi.org/10.3390/nu11081866
- Adams WM et al. (2014). Influence of body mass loss on changes in heart rate during exercise in the heat: a systematic review. Journal of Strength and Conditioning Research. https://doi.org/10.1519/JSC.0000000000000501
- Zhang D et al. (2016). Resting heart rate and all-cause and cardiovascular mortality in the general population: a meta-analysis. CMAJ. https://doi.org/10.1503/cmaj.150535
- Aune D et al. (2017). Resting heart rate and the risk of cardiovascular disease, total cancer, and all-cause mortality: a systematic review and dose-response meta-analysis of prospective studies. Nutrition, Metabolism and Cardiovascular Diseases. https://doi.org/10.1016/j.numecd.2017.04.004
- Nanchen D et al. (2013). Resting heart rate and incident heart failure and cardiovascular mortality in older adults: role of inflammation and endothelial dysfunction: the PROSPER study. European Journal of Heart Failure. https://doi.org/10.1093/eurjhf/hfs195
- Bent B et al. (2020). Investigating sources of inaccuracy in wearable optical heart rate sensors. NPJ Digital Medicine. https://doi.org/10.1038/s41746-020-0226-6
