Age‐predicted maximal heart rate in healthy subjects: The HUNT Fitness Study

  title={Age‐predicted maximal heart rate in healthy subjects: The HUNT Fitness Study},
  author={Bjarne Martens Nes and Imre Janszky and U. Wisl{\o}ff and Asbj{\o}rn St{\o}ylen and Trine Karlsen},
  journal={Scandinavian Journal of Medicine \& Science in Sports},
Maximal heart rate (HRmax ) declines substantially with age, but the magnitude and possible modifying effect of gender, body composition, and physical activity are not fully established. [] Key Method Subjects were included if a maximal effort could be verified during a maximal exercise test. General linear modeling was used to determine the effect of age on HRmax . Subsequently, the effects of gender, body mass index (BMI), physical activity status, and maximal oxygen uptake were examined.

Validation of Maximal Heart Rate Prediction Equations Based on Sex and Physical Activity Status

It is concluded that HRmax = 208 – (0.7 · age) has greater accuracy than the other two equations studied for predicting observed values of HRmax in 18–25 year olds.

HR Max Prediction Based on Age, Body Composition, Fitness Level, Testing Modality and Sex in Physically Active Population

Adding the studied variables in multiple regression models improves the accuracy of prediction only slightly over age alone and is unlikely to be useful in clinical practice, suggesting it could be used in more active individuals.

Maximal heart rate declines linearly with age independent of cardiorespiratory fitness levels

The minimal differences among linear, quadratic, and polynomial equations in the respective CRF groups, emphasizes the use of linear prediction equations to estimate HRmax.

High Cardiorespiratory Fitness Levels Slow the Decline in Peak Heart Rate with Age.

Evidence is provided that the maintenance of a high or moderate CRF may slow the age-related decline in HRpeak in both men and women and the application of CRF-specific HRpeak prediction equations should be used to improve interpretation of HRpeak from exercise tests.

Validity of Prediction Equations of Maximal Heart Rate in Physically Active Female Adolescents and the Role of Maturation

The findings suggest that age-based prediction equations of HRmax developed in adult populations should be applied with caution in physically active female adolescents, and Tanaka should be preferred instead of the Fox equation.

Obesity-associated metabolic changes influence resting and peak heart rate in women and men

In this study population, obesity and obesity-associated metabolic changes influenced both resting and peak exercise HR in women and men.

Accuracy of Commonly Used Age-Predicted Maximal Heart Rate Equations.

The Fox equation may represent the best option for a general population as it is less likely to under or overestimate based on individual HRmax than the other nine APMHR equations, with the exception of the Fox equation.

Prediction of Maximal Heart Rate in Children and Adolescents

A new equation to predict MHR in children and adolescents was developed, but was found to have low predictive ability, a finding similar to adult equations applied to children.



Age-predicted maximal heart rate revisited.

Longitudinal modeling of the relationship between age and maximal heart rate.

The relationship between age and HRmax during exercise developed in this longitudinal study has resulted in a prediction equation appreciably different from the conventional HRmax formula often used in exercise prescription, and it confirms findings from recent cross-sectional investigations of HRmax.

Maximal Heart Rate and Treadmill Performance of Healthy Women in Relation to Age

Maximal treadmill exercise heart rate, work capacity and electrocardiographic response were studied in 95 asymptomatic, predominantly sedentary women between the ages of 19 and 69 years and found inversely related to age.

Heart Rate Response to Exercise Stress Testing in Asymptomatic Women: The St. James Women Take Heart Project

Chronotropic incompetence is associated with an increased risk of death in asymptomatic women; however, the traditional male-based calculation overestimates the maximum HR for age in women.

Longitudinal examination of age-predicted symptom-limited exercise maximum HR.

Clinicians making exercise prescriptions should be aware that the loss of symptom-limited MHR is much slower in young adulthood and more pronounced in later adulthood, and MHR loss is very slow in those with the lowest BMI younger than 40 yr.

Peak oxygen uptake and cardiovascular risk factors in 4631 healthy women and men.

These data represent the largest reference material of objectively measured VO2peak in healthy men and women age 20-90 yr and showed that even in people considered to be fit,VO2peak was clearly associated with levels of conventional cardiovascular risk factors.

Age-related declines in maximal aerobic capacity in regularly exercising vs. sedentary women: a meta-analysis.

The hypothesis that, in contrast to the prevailing view, the rate of decline in maximal aerobic capacity with age is greater, not smaller, in endurance-trained vs. sedentary women is supported.

Predicting max HR and the HR-VO2 relationship for exercise prescription in obesity.

The data indicate that when predicting MHR in normalweights the equation 220-Age can be used, but for obese individuals the equation 200-0.5 x Age is more accurate; each having 12 as a standard error of estimate.

Quantifying exertion level during exercise stress testing using percentage of age-predicted maximal heart rate, rate pressure product, and perceived exertion.

The findings indicate that the currently used percentage of APMHR and peak RPP thresholds are ineffective in quantifying a patient's level of exertion during exercise stress testing.

Comparison of the chronotropic response to exercise and heart rate recovery in predicting cardiovascular mortality

  • J. MyersS. TanJ. AbellaVikram AletiV. Froelicher
  • Medicine
    European journal of cardiovascular prevention and rehabilitation : official journal of the European Society of Cardiology, Working Groups on Epidemiology & Prevention and Cardiac Rehabilitation and Exercise Physiology
  • 2007
Having both chronotropic incompetence and abnormal heart rate recovery strongly predicted cardiovascular death, resulting in a relative risk of 4.2 compared with both responses being normal, and risk was most powerfully stratified by these two responses together.