Resting Heart Rate

When you sit quietly, your heart slips into the slower, steady pace known as your resting heart rate. An increase in your resting heart rate over time may be a signal of heart trouble ahead.

Your heart rate changes from minute to minute. It depends on whether you are standing up or lying down, moving around or sitting still, stressed or relaxed. Your resting heart rate, though, tends to be stable from day to day. The usual range for resting heart rate is anywhere between 60 and 90 beats per minute. Above 90 is considered high.

Many factors influence your resting heart rate. Genes play a role. Aging tends to speed it up. Regular exercise tends to slow it down. (In his prime, champion cyclist Lance Armstrong had a resting heart rate of just 32 beats per minute.) Stress, medications, and medical conditions also influence the heart rate.

Results of observational research studies support a link between health and heart rate. Researchers from Norway previously reported the results of a large study looking at changes in resting heart rate over 10 years. They recruited more than 29,000 people without any history or heart disease, high blood pressure, or any other type of cardiovascular disorder, and measured their resting heart rates when they started the study and again 10 years later.

This study was published in the Journal of the American Medical Association.

Compared to people whose resting heart rates were under 70 beats per minute at the study’s start and its end, those whose resting heart rate rose from under 70 to more than 85 were 90% more likely to have died during the course of the study. The increase in risk was slightly less for those with resting heart rates of 70 to 85 at the study’s start and who had a greater than 85 at the study’s end.

Although 90% sounds like a huge and scary increase, let me put it in perspective. Among the group whose heart rates stayed under 70 throughout the study, there were 8.2 deaths per 10,000 people per year. Among those whose heart rates rose above 85, there were 17.2 deaths per 10,000 people per year.

The results also suggested that lowering your resting heart rate over time may be beneficial, but the researchers could not say that for certain.

What this means for you

You don’t need a doctor’s visit to keep track of your resting heart rate. The best time to measure it is before you get out of bed in the morning. You can measure your heart rate at your wrist or neck by placing one or two fingers over a pulse point, counting the number of beats in 15 seconds, and multiplying by four.

By doing these 4 things you can start to lower your resting heart rate and also help maintain a healthy heart:

1Exercise more. When you take a brisk walk, swim, or bicycle, your heart beats faster during the activity and for a short time afterward. But exercising every day gradually slows the resting heart rate.

2Reduce stress. Performing the relaxation response, meditation, tai chi, and other stress-busting techniques lowers the resting heart rate over time.

3Avoid tobacco products. Smokers have higher resting heart rates. Quitting brings it back down.

4Lose weight if necessary. The larger the body, the more the heart must work to supply it with blood. Losing weight can help slow an elevated heart rate.

Temporal Changes in Resting Heart Rate and Deaths From Ischemic Heart Disease
JAMA. 2011;306(23):2579-2587. doi:10.1001/jama.2011.1826
related articles icon 




Context Resting heart rate (RHR) has long been recognized as an independent predictor of cardiovascular risk. However, whether temporal changes in RHR influence the risk of death from ischemic heart disease (IHD) in the general population is not known.

Objective To assess the association of long-term longitudinal changes in RHR with the risk of dying from IHD.

Design, Settings, and Participants A prospective cohort study of 13 499 men and 15 826 women without known cardiovascular disease in Norway. Resting heart rate was measured on 2 occasions around 10 years apart in the Nord-Trøndelag County Health Study. The second RHR measurement was obtained between August 1995 and June 1997, with subsequent mortality follow-up until December 31, 2008. A total of 60 participants were lost to follow-up, all due to emigration from Norway. Using Cox regression analyses, adjusted hazard ratios (AHRs) were estimated of death from IHD related to changes in RHR over time. In a corresponding analysis, death from all causes also was assessed.

Results During a mean (SD) of 12 (2) years of follow-up, 3038 people died, and 388 deaths were caused by IHD. An increase in RHR was associated with increased risk of death from IHD. Compared with participants with a RHR of less than 70 beats/min at both measurements (8.2 deaths/10 000 person-years), the AHR was 1.9 (95% CI, 1.0-3.6) for participants with a RHR of less than 70 beats/min at the first measurement but greater than 85 beats/min at the second measurement (17.2 deaths/10 000 person-years). For participants with RHRs between 70 and 85 beats/min at the first measurement and greater than 85 beats/min at the second measurement (17.4 deaths/10 000 person-years), the AHR was 1.8 (95% CI, 1.2-2.8). The association of change in RHR with IHD mortality was not linear (P = .003 for quadratic trend), suggesting that a decrease in RHR showed no general mortality benefit. Excluding the first 3 years of follow-up did not substantially alter the findings. The associations for total mortality were similar but generally weaker than those observed for IHD mortality.

Conclusion Among men and women without known cardiovascular disease, an increase in RHR over a 10-year period was associated with increased risk of death from IHD and also for all-cause mortality.

Epidemiological evidence suggests that a high resting heart rate (RHR) is associated with increased cardiovascular morbidity and mortality in the general population, independent of conventional risk factors.13 An elevated RHR also has been associated with poorer prognosis within subgroups of patients with cardiovascular disease.46

Resting heart rate is a modifiable factor that may change over time in response to the interaction of genes and environmental factors,2,7 physical activity,8 as well as clinical conditions, and medical treatment.911 Few studies have assessed the associations of temporal changes in RHR with mortality.1215 The findings suggest that an increase in RHR over time may be associated with an increased risk of death from all causes.13 In studies of patient groups with cardiovascular disease, an increase in RHR has been associated with increased case fatality.12,14,15 However, the association of longitudinal changes in RHR with the risk of ischemic heart disease (IHD) has not been assessed in population studies.

Therefore, the aim of this study was to prospectively examine the association of longitudinal changes in RHR with the risk of deaths from IHD in a large population-based cohort of apparently healthy men and women.


Study Population

We followed up participants from the second wave of the Nord-Trøndelag County Health Study (HUNT-2) in which the entire adult population aged 20 years or older was invited to participate between August 1995 and June 1997. Of the 94 187 invited individuals, 65 442 participated in the study, filled out a questionnaire, and attended a clinical examination. All individuals provided written informed consent before volunteering to participate in the HUNT studies. Details about the HUNT study have been described elsewhere.16 To be eligible for the present study, it was required that participants had also participated in the first wave of the HUNT Study (HUNT-1). The regional committee for ethics in medical research approved this study.

Resting Heart Rate

A total of 46 410 eligible individuals had RHR measured in HUNT-2, and also had RHR measured approximately 10 years earlier as part of HUNT-1, which was conducted from 1984 through 1986. As in HUNT-2, the total adult population aged 20 years or older was invited to participate in HUNT-1; among 85 100 eligible individuals, 75 043 participated. The participants of both HUNT-1 and HUNT-2 (n = 46 410) were compared with those who only participated in HUNT-1 (n = 28 507) (eTable 1). On average, the latter group had somewhat higher RHR compared with those who participated in both HUNT-1 and HUNT-2.

To assess longitudinal changes in RHR, we calculated the difference between mean RHR measured in HUNT-2 and that measured in HUNT-1. In HUNT-1, the RHR was measured by palpating the radial pulse over a period of 15 seconds with a stopwatch after at least 4 minutes of seated rest. If the pulse was irregular or difficult to count, the test was extended to 30 seconds, if necessary, with the aid of a stethoscope placed over the heart. In HUNT-2, the RHR was measured in parallel to the measurement of blood pressure (Critikon Dinamap 845XT, GE Medical Systems). The Dinamap was started after the participant had been seated for 2 minutes, with the arm resting on a table. Resting heart rate and blood pressure were measured automatically 3 times at 1-minute intervals. For the analysis, the mean of the second and third measurements was used. Trained nurses conducted the RHR measurements in both HUNT-1 and HUNT-2.

Follow-up and Ascertainment of Outcomes

The primary end point was death caused by IHD (International Classification of Diseases, Ninth Revision: 410-414; International Statistical Classification of Diseases, Tenth Revision: I20-I25); in addition, we assessed deaths from all causes. Our study had a virtually complete follow-up due to the unique 11-digit Norwegian person identification number that allows accurate matching to the National Cause of Death Register, and also because individual registration in population registers is mandatory in Norway. A total of 60 participants emigrated from Norway after participating in HUNT-2 until the end of follow-up on December 31, 2008; in the analyses, these participants were censored at the time of emigration.

Among participants who participated in both HUNT-1 and HUNT-2, we excluded those who reported a history of heart disease (myocardial infarction, angina pectoris, stroke, regular use of blood pressure medication, or prevalent diabetes mellitus). Thus, a total of 11 268 participants with these conditions were excluded from the analyses. In addition, 5817 participants were excluded because they failed to return the questionnaire about physical activity. Therefore, 29 325 individuals were included in the analyses of this study (Figure 1). We compared the 29 325 participants who were included with the 17 085 participants who were excluded. As expected, the excluded participants were older and had worse cardiovascular risk profiles than those who were included in the study (eTable 2).

The mortality follow-up of the HUNT cohort was approved by the regional committee for medical research ethics, the Norwegian Data Inspectorate, and by the National Directorate of Health. The study is in conformity with Norwegian laws and the Helsinki declaration.

Clinical Information

The clinical examination conducted by trained nurses included standardized measurements of body height and weight. Height and weight were recorded with participants wearing light clothes without shoes. Height was measured to the nearest 1 cm and weight to the nearest 0.5 kg. Body mass index was calculated as weight in kilograms divided by height in meters squared.

Information on recreational physical activity, smoking habits, alcohol consumption, family history of IHD, occupational status, and attained education was collected from a self-administered questionnaire. Participants also extensively assessed and reported their medical history regarding common chronic somatic disorders.

Participants were divided into 4 categories of physical activity level (no activity, low, moderate, or high) based on their responses to the questions about hard and light physical activity during an ordinary week, with 4 response options for each intensity (none, <1 hour, 1-2 hours, or ≥3 hours). The questions about hard and light physical activity were not mutually exclusive, and the data allowed us to construct a physical activity index described elsewhere.17 The physical activity questionnaire has been found to be valid,18 and the physical activity index has been shown to be associated with mortality in a general population and among people with the metabolic syndrome.17 We classified the participants into 3 categories of smoking habits (never, former, or current smokers) and 3 levels of education attainment (≤9 years, 10-12 years, or ≥13 years).

The participants were asked about their usual intake of wine, beer, and spirits, indicated by their usual number of drinks over a 2-week period. We categorized participants into 4 groups according to their alcohol consumption over a 2-week period (abstainers, 0 to ≤7 drinks, >7 to ≤14 drinks, or >14 drinks). Occupational status was divided in 5 categories: unskilled manual; skilled manual or clerical; professional, academic, or manager; self-employed, farmer, or fisherman; or retired, part-time, or not otherwise classified. Family history of IHD was defined as myocardial infarction in a first-degree relative (father, mother, siblings, or children) before the age of 60 years.

Laboratory Measurements

Nonfasting serum concentrations of total cholesterol and high-density lipoprotein cholesterol were analyzed by an enzymatic colorimetric cholesterol esterase method applying reagents from Boehringer Mannheim.

Statistical Analysis

Descriptive data are presented as mean (standard deviation), and baseline characteristics of participants were compared using linear regression analysis for continuous variables and χ2 tests for categorical variables. The RHR measurements both in HUNT-2 and in HUNT-1 (10 years before) were divided into 3 categories (<70 beats/min, 70-85 beats/min, or >85 beats/min). The choice of these cut points was made a priori based on identical cut points in other studies of RHR and cardiovascular mortality.4,9,19

Cox regression analyses were used to assess whether changes in RHR from HUNT-1 to HUNT-2 were associated with subsequent risk of dying from IHD. Precision of the estimates was assessed by 95% confidence intervals. We tested the proportionality of hazards by evaluating interaction with time and log time and found evidence for nonproportional hazards by sex both in age-adjusted and in multivariable-adjusted models. Therefore, we used stratified Cox regression conditioning on sex in the analyses, but modeled no time-dependent effects. The basic models were age-adjusted and further adjustments were made for the following potentially confounding factors: body mass index (<18.5, 18.5-24.9, 25.0-29.9, or ≥30.0), systolic blood pressure (<120, 120-139, 140-159, or ≥160 mm Hg), smoking status, physical activity level, alcohol consumption, education, occupational status, family history of IHD, and levels of total serum cholesterol and high-density lipoprotein cholesterol.

We conducted several stratified analyses to assess whether the association of change in RHR with IHD could be modified by other factors. We investigated the potential effect modification by sex, age (dichotomized at the age of 70 years), body mass index (dichotomized at 25), systolic blood pressure (dichotomized at 140 mm Hg), smoking status (current vs not current smoking) and physical activity (sedentary vs any activity).

We also used RHR as a continuous variable and included the squared value of RHR to assess nonlinear trend. To allow visual assessment of the trend, we present hazard ratios in Figure 2 for the following categories of change in RHR: (1) a decrease of greater than 25 beats/min; (2) a decrease between 15 and 25 beats/min; (3) a decrease between 5 and 15 beats/min; (4) a change from −5 to 5 beats/min (reference); (5) an increase between 5 and 15 beats/min; (6) an increase between 15 and 25 beats/min; and (7) an increase of greater than 25 beats/min.

We also performed sensitivity analyses to assess the robustness of our findings. For example, the association between change in RHR and IHD mortality could be influenced by unknown preclinical disease. To take this possibility into account, we conducted a separate analysis where the first 3 years of follow-up were excluded. In another sensitivity analysis, we adjusted for the presence of common chronic disorders, such as asthma, goiter, hypothyroidism, hyperthyroidism, fibromyalgia, rheumatoid arthritis, ankylosing spondylitis, cancer, epilepsy, or osteoporosis in addition to the factors that were already included in the multivariable models. In a third sensitivity analysis, we adjusted for RHR measured in HUNT-1.

In addition to IHD mortality, we studied the prospective association of changes in RHR with all-cause mortality. All statistical tests were 2-sided and a P value of less than .05 was considered significant. The statistical analyses were conducted using Stata version 10.0 (StataCorp).


The mean value of RHR was 74.0 (interquartile range, 64-80) beats/min in HUNT-1 and 73.6 (interquartile range, 65-80.5) beats/min in HUNT-2 and showed a relatively strong correlation (r = 0.50, P <.001). Table 1 shows that participants with a relatively low RHR in HUNT-1 or HUNT-2 tended to have a healthier lifestyle than those with a higher RHR. However, among participants for whom the RHR had increased from HUNT-1 to HUNT-2, the cardiovascular risk profile at baseline was slightly worse than for people who had a stable RHR over time (Table 2).

During a mean (SD) of 12 (2) years of follow-up (median, 12 years; range, 0.05-13 years), a total of 3038 people died. Among all deaths, 975 were caused by cardiovascular disease and 388 were due to IHD. Compared with participants with a RHR of less than 70 beats/min at both measurements (8.2 deaths/10 000 person-years), the adjusted hazard ratio for IHD mortality was 1.9 (95% CI, 1.0-3.6) for participants with a RHR of less than 70 beats/min at the first measurement but greater than 85 beats/min at the second measurement (17.2 deaths/10 000 person-years). For participants with RHRs between 70 and 85 beats/min at the first measurement and greater than 85 beats/min at the second measurement (17.4 deaths/10 000 person years), the adjusted hazard ratio was 1.8 (95% CI, 1.2-2.8).

In the analyses using RHR as a continuous variable, we found that the association of change in RHR with IHD mortality was not linear (P = .003 for quadratic trend), and displayed a U-shaped association, suggesting that a decrease in RHR showed no general mortality benefit (Figure 2). However, our results suggest that individuals with a RHR between 70 and 85 beats/min in HUNT-1 may have benefited from a decrease in RHR. In this subgroup, we compared those who had a decrease in RHR to below 70 beats/min in HUNT-2 with those whose RHR remained stable between 70 and 85 beats/min over the 10-year period, and found that the decrease in RHR was associated with a 40% lower risk of dying from IHD during follow-up (hazard ratio, 0.6; 95% CI, 0.4-0.9).

In separate stratified analyses, the results were not substantially different from the main analyses. Thus, analyses stratified by sex, age, body mass index, smoking status, physical activity, and systolic blood pressure are presented in eTable 3. We also conducted a series of sensitivity analyses. Thus, we excluded the first 3 years of follow-up to minimize the possibility that unknown preclinical disease could have influenced the association of changes in RHR, but the findings were not substantially altered (Table 3 and eFigure 1). We also adjusted for the presence of common chronic disorders in addition to the factors that were already included in the multivariable models, but the association of changes in RHR with IHD mortality remained nearly unchanged (eTable 4 and eFigure 2). In a separate analysis, we adjusted for RHR as measured in HUNT-1, and found that the results were similar to the results obtained without this adjustment (eTable 5).

As expected from the general baseline good health of the study participants, the absolute risks of IHD mortality associated with changes in RHR were small in this study (Table 3 and Figure 2).

In a separate analysis, we assessed the association of changes in RHR with all-cause mortality. The associations with total mortality were similar to those observed for IHD mortality, but the estimates of effect were generally weaker (Table 4). In contrast to the U-shaped association observed for IHD mortality, there was both a linear (P = .006) and a quadratic component (P = .045) in the analysis using RHR as a continuous variable, suggesting a J-shaped curve for total mortality.


In this prospective study of apparently healthy men and women, we found that participants whose RHR had increased during a 10-year period were at increased risk of death from IHD compared with participants whose RHR remained relatively stable. We found a similar but weaker risk increase for all causes of death. The association between changes in RHR and IHD mortality was not linear; among participants whose RHR decreased over time, there was no general benefit in relation to IHD mortality.

Resting heart rate has long been recognized as an independent predictor of cardiovascular risk.16 However, comparatively less is known about the possible implications of temporal changes in RHR. The Paris Prospective Study13 of healthy middle-aged men showed that an increase of 4 beats/min or more in RHR during a 5-year period was associated with a 19% increase in all-cause mortality. An increase in RHR also was associated with a poorer outcome in patients with hypertension or coronary artery disease.12,14,15 In line with this, we found that compared with participants with a RHR of less than 70 beats/min at both measurements about 10 years apart, participants with a RHR of less than 70 beats/min at the first measurement but greater than 85 beats/min at the second measurement had a risk of death from IHD that was 90% higher, and a risk of death from all causes that was 50% higher.

To our knowledge, no previous population-based study has assessed longitudinal changes in RHR in relation to the risk of death from IHD. Although we found that an increase in RHR was associated with an increased risk of death from IHD, the association was nonlinear, and suggested that a decrease in RHR over time is not likely to be beneficial in relation to IHD mortality. Other studies also have found nonlinear associations related to RHR measured at baseline and subsequent IHD mortality, suggesting that both high and low RHR could have adverse consequences.6,12,20 However, in a subgroup of participants with RHR between 70 and 85 beats/min at the first measurement, and below 70 beats/min about 10 years later, IHD mortality was 40% lower compared with those whose RHR remained between 70 and 85 beats/min at the second measurement. In patients with heart failure and coronary heart disease, clinical trials have shown that drugs to lower RHR may be beneficial in relation to cardiovascular disease.9,11 The nonlinear association of RHR with IHD mortality, and our subgroup finding, suggest that certain groups of individuals may benefit from a decrease in RHR, whereas for others, the opposite may be true. This finding warrants further investigation.

The strengths of this study include the population-based cohort of healthy men and women, the relatively large sample size, the long-term and virtually complete follow-up, and the detailed information on several potentially confounding factors.

A limitation of this study is that the assessment of RHR is likely to be prone to measurement error. This was especially true for RHR in HUNT-1, which was assessed by palpating the radial pulse over a period of 15 seconds with a stopwatch. However, efforts were made to minimize this measurement error. In ambiguous cases, if the pulse was difficult to count, the test was extended to 30 seconds or a stethoscope placed over the heart. Previous studies have indicated that pulse measurements by palpation or by auscultation are both strongly correlated with electrocardiographic findings, and may be adequate surrogate measures for RHR in the absence of electrocardiography.21,22 Although measurement error is a common weakness, it is not likely to be systematically related to the risk of subsequent IHD, and therefore, a potential measurement error is expected to lead to an underestimation of the true association and not to create a spurious overestimate.

We had no information on medications to lower RHR or medical interventions that might have taken place during the follow-up. However, this is not likely to be a major limitation of the study because people who took blood pressure medication were excluded from the analysis, and as far as we could ascertain, the study population was without known cardiovascular disease at baseline.

It is likely that a temporal reduction in RHR will reflect good underlying health, and could therefore be a marker of a healthy lifestyle,2325 including engagement in physical activity8,26 and low prevalence of smoking,27,28 as observed in the present study. We controlled for these and other potentially confounding factors in the multivariable-adjusted analyses, but the possibility of residual confounding cannot be completely eliminated. Any remaining potentially confounding factor would need to be associated with both temporal changes in RHR and IHD mortality, and simultaneously be unrelated to the factors included in our multivariable models.

As expected from the good general health of the study participants, the observed moderate-to-strong increases in relative risk corresponded to small risk increases in absolute terms. However, it is not clear to what extent we can extrapolate our findings to less healthy individuals in whom the underlying risk is likely to be higher.

Despite the large number of study participants, the number of events in certain subgroups was low. Consequently, the precision of the corresponding effect estimates was low, and therefore, one should be careful in drawing firm conclusions related to these subgroups.

In summary, we found that a temporal increase in RHR over a 10-year period was associated with an increased risk of dying from IHD and from all causes of death. Our findings provide further support for the hypothesis that RHR may be an important prognostic marker for IHD and total mortality. Information on RHR and its time-related changes are easy to obtain and follow-up and may be useful in identifying asymptomatic people who could benefit from measures of primary prevention, but further study in this area is warranted.

Back to top

Article Information

Corresponding Author: Ulrik Wisløff, PhD, K. G. Jebsen Center of Exercise in Medicine, PO Box 8905, Medisinsk Teknisk Forskningssenter, 7491 Trondheim, Norway (

Author Contributions: Dr Nauman had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Study concept and design: Nauman, Vatten, Wisløff.

Acquisition of data: Nauman, Vatten.

Analysis and interpretation of data: Nauman, Janszky, Vatten, Wisløff.

Drafting of the manuscript: Nauman, Janszky, Vatten, Wisløff.

Critical revision of the manuscript for important intellectual content: Nauman, Janszky, Vatten, Wisløff.

Statistical analysis: Nauman, Janszky.

Obtained funding: Wisløff.

Study supervision: Vatten, Wisløff.

Conflict of Interest Disclosures: All authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest and none were reported.

Funding/Support: The present study was supported by grants from K. G. Jebsen Foundation, the Norwegian Council of Cardiovascular Disease, the Norwegian Research Council (Funding for Outstanding Young Investigators awarded to Dr Wisløff), Funds for Cardiovascular and Medical Research at St Olav’s University Hospital, Trondheim, the Torstein Erbo’s Foundation, Trondheim, the Liaison Committee between the Central Norway Regional Health Authority and the Norwegian University of Science and Technology (Dr Janszky), and by the Swedish Council of Working Life and Social Research (Dr Janszky).

Role of the Sponsor: The funding organizations had no role in the design and conduct of the study; in the collection, analysis, and interpretation of the data; or in the preparation, review, or approval of the manuscript.

Additional Contributions: The Nord-Trøndelag Health Study (HUNT) is collaboration between the HUNT Research Centre (Faculty of Medicine, Norwegian University of Science and Technology), the Nord-Trøndelag County Council, and the Norwegian Institute of Public Health. We are indebted to the participants of the HUNT study.


Jouven X, Empana JP, Schwartz PJ, Desnos M, Courbon D, Ducimetière P. Heart-rate profile during exercise as a predictor of sudden death.  N Engl J Med. 2005;352(19):1951-1958PubMedGoogle ScholarCrossref

Fox K, Borer JS, Camm AJ,  et al; Heart Rate Working Group.  Resting heart rate in cardiovascular disease.  J Am Coll Cardiol. 2007;50(9):823-830PubMedGoogle ScholarCrossref

Cook S, Togni M, Schaub MC, Wenaweser P, Hess OM. High heart rate: a cardiovascular risk factor?  Eur Heart J. 2006;27(20):2387-2393PubMedGoogle ScholarCrossref

Fox K, Ford I, Steg PG, Tendera M, Robertson M, Ferrari R.BEAUTIFUL Investigators.  Heart rate as a prognostic risk factor in patients with coronary artery disease and left-ventricular systolic dysfunction (BEAUTIFUL): a subgroup analysis of a randomised controlled trial.  Lancet. 2008;372(9641):817-821PubMedGoogle ScholarCrossref

Diaz A, Bourassa MG, Guertin MC, Tardif JC. Long-term prognostic value of resting heart rate in patients with suspected or proven coronary artery disease.  Eur Heart J. 2005;26(10):967-974PubMedGoogle ScholarCrossref

Palatini P, Thijs L, Staessen JA,  et al; Systolic Hypertension in Europe (Syst-Eur) Trial Investigators.  Predictive value of clinic and ambulatory heart rate for mortality in elderly subjects with systolic hypertension.  Arch Intern Med. 2002;162(20):2313-2321PubMedGoogle ScholarCrossref

Eijgelsheim M, Newton-Cheh C, Sotoodehnia N,  et al.  Genome-wide association analysis identifies multiple loci related to resting heart rate.  Hum Mol Genet. 2010;19(19):3885-3894PubMedGoogle ScholarCrossref

Black A, Murray L, Cardwell C, Smith GD, McCarron P. Secular trends in heart rate in young adults, 1949 to 2004: analyses of cross sectional studies.  Heart. 2006;92(4):468-473PubMedGoogle ScholarCrossref

Fox K, Ford I, Steg PG, Tendera M, Ferrari R. BEAUTIFUL Investigators.  Ivabradine for patients with stable coronary artery disease and left-ventricular systolic dysfunction (BEAUTIFUL): a randomised, double-blind, placebo-controlled trial.  Lancet. 2008;372(9641):807-816PubMedGoogle ScholarCrossref

Hjalmarson A, Goldstein S, Fagerberg B,  et al; MERIT-HF Study Group.  Effects of controlled-release metoprolol on total mortality, hospitalizations, and well-being in patients with heart failure: the Metoprolol CR/XL Randomized Intervention Trial in congestive heart failure (MERIT-HF).  JAMA. 2000;283(10):1295-1302PubMedGoogle ScholarCrossref

Böhm M, Swedberg K, Komajda M,  et al; SHIFT Investigators.  Heart rate as a risk factor in chronic heart failure (SHIFT): the association between heart rate and outcomes in a randomised placebo-controlled trial.  Lancet. 2010;376(9744):886-894PubMedGoogle ScholarCrossref

Kolloch R, Legler UF, Champion A,  et al.  Impact of resting heart rate on outcomes in hypertensive patients with coronary artery disease: findings from the INternational VErapamil-SR/trandolapril STudy (INVEST).  Eur Heart J. 2008;29(10):1327-1334PubMedGoogle ScholarCrossref

Jouven X, Empana JP, Escolano S,  et al.  Relation of heart rate at rest and long-term (>20 years) death rate in initially healthy middle-aged men.  Am J Cardiol. 2009;103(2):279-283PubMedGoogle ScholarCrossref

Okin PM, Kjeldsen SE, Julius S,  et al.  All-cause and cardiovascular mortality in relation to changing heart rate during treatment of hypertensive patients with electrocardiographic left ventricular hypertrophy.  Eur Heart J. 2010;31(18):2271-2279PubMedGoogle ScholarCrossref

Paul L, Hastie CE, Li WS,  et al.  Resting heart rate pattern during follow-up and mortality in hypertensive patients.  Hypertension. 2010;55(2):567-574PubMedGoogle ScholarCrossref

Midthjell K, Kruger O, Holmen J,  et al.  Rapid changes in the prevalence of obesity and known diabetes in adult Norwegian population: The Nord-Trøndelag Health Surveys: 1984-1986 and 1995-1997.  Diabetes Care. 1999;22(11):1813-1820CrossrefGoogle Scholar

Stensvold D, Nauman J, Nilsen TI, Wisløff U, Slørdahl SA, Vatten L. Even low level of physical activity is associated with reduced mortality among people with metabolic syndrome, a population based study (the HUNT 2 study, Norway).  BMC Med. 2011;9:109PubMedGoogle ScholarCrossref

Kurtze N, Rangul V, Hustvedt BE, Flanders WD. Reliability and validity of self-reported physical activity in the Nord-Trøndelag Health Study (HUNT 2).  Eur J Epidemiol. 2007;22(6):379-387PubMedGoogle ScholarCrossref

Palatini P. Need for a revision of the normal limits of resting heart rate.  Hypertension. 1999;33(2):622-625PubMedGoogle ScholarCrossref

Dyer AR, Persky V, Stamler J,  et al.  Heart rate as a prognostic factor for coronary heart disease and mortality: findings in three Chicago epidemiologic studies.  Am J Epidemiol. 1980;112(6):736-749PubMedGoogle Scholar

Erikssen J, Rodahl K. Resting heart rate in apparently healthy middle-aged men.  Eur J Appl Physiol Occup Physiol. 1979;42(1):61-69PubMedGoogle ScholarCrossref

Runcie CJ, Reeve W, Reidy J, Dougall JR. A comparison of measurements of blood pressure, heart-rate and oxygenation during inter-hospital transport of the critically ill.  Intensive Care Med. 1990;16(5):317-322PubMedGoogle ScholarCrossref

Shishehbor MH, Litaker D, Pothier CE, Lauer MS. Association of socioeconomic status with functional capacity, heart rate recovery, and all-cause mortality.  JAMA. 2006;295(7):784-792PubMedGoogle ScholarCrossref

Mozaffarian D, Geelen A, Brouwer IA, Geleijnse JM, Zock PL, Katan MB. Effect of fish oil on heart rate in humans: a meta-analysis of randomized controlled trials.  Circulation. 2005;112(13):1945-1952PubMedGoogle ScholarCrossref

Mozaffarian D, Prineas RJ, Stein PK, Siscovick DS. Dietary fish and n-3 fatty acid intake and cardiac electrocardiographic parameters in humans.  J Am Coll Cardiol. 2006;48(3):478-484PubMedGoogle ScholarCrossref

Sandercock GR, Hardy-Shepherd D, Nunan D, Brodie D. The relationships between self-assessed habitual physical activity and non-invasive measures of cardiac autonomic modulation in young healthy volunteers.  J Sports Sci. 2008;26(11):1171-1177PubMedGoogle ScholarCrossref

Lightwood JM, Glantz SA. Short-term economic and health benefits of smoking cessation: myocardial infarction and stroke.  Circulation. 1997;96(4):1089-1096PubMedGoogle ScholarCrossref

Felber Dietrich D, Schwartz J, Schindler C,  et al; SAPALDIA-Team.  Effects of passive smoking on heart rate variability, heart rate and blood pressure: an observational study.  Int J Epidemiol. 2007;36(4):834-840PubMedGoogle ScholarCrossref

Happiness Medicine & Holistic Medicine Posts



Follow me on Twitter

Translate »
error: Content is protected !!