Literature DB >> 21268470

Evaluating the prediction of maximal heart rate in children and adolescents.

Anthony D Mahon1, Andrea D Marjerrison, Jonah D Lee, Megan E Woodruff, Lauren E Hanna.   

Abstract

In this study, we compared measured maximal heart rate (HRmax) to two different HRmax prediction equations [22 - age and 208 - 0.7(age)] in 52 children ages 7-17 years. We determined the relationship of chronological age, maturational age, and resting HR to measured HRmax and assessed seated resting HR and HRmax during a graded exercise test. Maturational age was calculated as the maturity offset in years from the estimated age at peak height velocity. Measured HRmax was 201 +/- 10 bpm, whereas predicted HRmax ranged from 199 to 208 bpm. Measured HRmax and the predicted value from the 208 - 0.7(age) prediction were similar but lower (p < .05) than the 220 - age prediction. Absolute differences between measured and predicted HRmax were 8 +/- 5 and 10 +/- 8 bpm for the 208 - 0.7 (age) and 220 - age equations, respectively, and were greater than zero (p < .05). Regression equations using resting HR and maturity offset or chronological age significantly predicted HRmax, although the R2 < .30 and the standard error of estimation (8.2-8.5) limits the accuracy. The 208 - 0.7(age) equation can closely predict mean HRmax in children, but individual variation is still apparent.

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Year:  2010        PMID: 21268470     DOI: 10.1080/02701367.2010.10599707

Source DB:  PubMed          Journal:  Res Q Exerc Sport        ISSN: 0270-1367            Impact factor:   2.500


  34 in total

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5.  Individual and family-based approaches to increase physical activity in adolescents with intellectual and developmental disabilities: Rationale and design for an 18 month randomized trial.

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7.  Brain reactivity to visual food stimuli after moderate-intensity exercise in children.

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8.  Wireless Sensor-Dependent Ecological Momentary Assessment for Pediatric Asthma mHealth Applications.

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Review 10.  The importance of prediction model validation and assessment in obesity and nutrition research.

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