Key result
The predictive model 208 - (0.7 × age) showed the greatest accuracy for estimating maximal heart rate among the evaluated models (SDM -0.183; 95% CI -0.787 to -0.422; p=0.554).
Why the study?
It was unknown which equation best estimates maximal heart rate for the pediatric population according to body mass.
Which prediction equation best estimates maximal heart rate in obese and nonobese children and adolescents?
Population
Children and adolescents across 11 selected cross-sectional studies
Comparison
Different maximal heart rate predictive equations vs measured maximal heart rate
Design
Systematic review and meta-analysis of cross-sectional studies
Authors
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No HRmax equation reliably fits obese youth; leaves open targeted validation before any clinical adoption.
Meta-Analysis
Which prediction equation best estimates maximal heart rate in obese and nonobese children and adolescents?
Standardized Mean Difference: -0.183 (95% CI -0.787–-0.422)
p-value: p=0.554
The 208 - (0.7 × age) equation is the most accurate for predicting maximal heart rate in children and adolescents, though no specific equation exists for obese adolescents.
Carli et al. (2023) conducted a meta-analysis in Obese and nonobese children and adolescents. HRmax prediction equations (e.g., 208 - 0.7 × age) vs. Measured HRmax was evaluated on Accuracy of HRmax prediction models (SDM -0.183, 95% CI -0.787 to -0.422, p=0.554). The predictive model 208 - (0.7 × age) showed the greatest accuracy for estimating maximal heart rate among the evaluated models (SDM -0.183; 95% CI -0.787 to -0.422; p=0.554).
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