Prediction of Maximal Heart Rate in Children and Adolescents.


Objective: To identify a method to predict the maximal heart rate (MHR) in children and adolescents, as available prediction equations developed for adults have a low accuracy in children. We hypothesized that MHR may be influenced by resting heart rate, anthropometric factors, or fitness level.

Design: Cross-sectional study.

Setting: Sports medicine center in primary care.

Participants: Data from 627 treadmill maximal exercise tests performed by 433 pediatric athletes (age 13.7 +/- 2.1 years, 70% males) were analyzed.

Independent Variables: Age, sex, sport type, stature, body mass, BMI, body fat, fitness level, resting, and MHR were recorded.

Main Outcome Measures: To develop a prediction equation for MHR in youth, using stepwise multivariate linear regression and linear mixed model. To determine correlations between existing prediction equations and pediatric MHR.

Results: Observed MHR was 197 +/- 8.6 b[middle dot]min-1. Regression analysis revealed that resting heart rate, fitness, body mass, and fat percent were predictors of MHR (R2 = 0.25, P < 0.001), whereas age was not. Resting heart rate explained 15.6% of MHR variance, body mass added 5.7%, fat percent added 2.4%, and fitness added 1.2%. Existing adult equations had low correlations with observed MHR in children and adolescents (r = -0.03-0.34).

Conclusions: 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.

Clinical relevance: Considering the narrow range of MHR in youth, we propose using 197 b[middle dot]min-1 as the mean MHR in children and adolescents, with 180 b[middle dot]min-1 the minimal threshold value (-2 standard deviations).

Copyright (C) 2016 Wolters Kluwer Health, Inc. All rights reserved. 


Autor / Fonte:Miri Gelbart, Tomer Ziv-Baran, Craig A Williams, Yoni Yarom, Gal Dubnov-Raz Clinical Journal of Sport Medicine: Official Journal of the Canadian Academy of Sport Medicine 2016 May 11 0