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

@article{Nes2013AgepredictedMH,
  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},
  year={2013},
  volume={23}
}
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

TLDR
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

TLDR
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

TLDR
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.

TLDR
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

TLDR
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

TLDR
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.

TLDR
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

TLDR
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.
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