Age-based HRmax prediction formulas systematically underestimated self-reported field maximal heart rate by 4.8 to 5.8 bpm in endurance athletes.
Cross-Sectional (n=4,375)
Do age-based prediction formulas accurately estimate maximal heart rate compared to self-reported field data in endurance athletes?
Age-based maximal heart rate formulas systematically underestimate true HRmax with wide individual variability in endurance athletes, highlighting the need for individualized field-based assessments.
Effect estimate: Mean bias -4.8 (95% CI -5.1 to -4.5)
p-value: p=<0.001
Background Accurate assessment of cardiovascular parameters, including maximal heart rate (HRmax), resting heart rate (RHR), and heart rate reserve (HRR), is important for guiding training prescriptions in endurance athletes. Conventional age-based HRmax prediction formulas, particularly the widely used “220—age” equation, remain common despite substantial individual variation and documented underestimation in trained populations. Self-reported field data—defined as the highest heart rate recorded during maximal training or racing efforts—provide an ecologically valid alternative for examining HRmax in real-world settings. Methods A cross-sectional study was conducted with 4,375 endurance athletes across multiple disciplines. Self-reported HRmax, RHR, weekly training load, and training history were collected via standardized web-based surveys administered globally from November 2022 to January 2023. Associations were evaluated using Pearson correlations, and the accuracy of age-based HRmax formulas was assessed via Bland–Altman analyses. Results Age was strongly inversely correlated with HRmax ( r = –0.60, p 0.001) and HRR ( r = –0.66, p 0.001), but only weakly associated with RHR ( r = 0.06, p 0.001). Age-based formulas underestimated self-reported HRmax by 5–6 bpm (mean bias = –5.8 bpm for Fox; –4.8 bpm for Tanaka), with wide limits of agreement (Tanaka: –18.5 to +9.1 bpm; Fox: –20.2 to +8.6 bpm), indicating substantial individual variability. RHR was moderately inversely correlated with weekly training hours ( r = –0.23, p 0.001). No significant sex differences were observed. HRR exhibited high inter-individual variability. Conclusions This exploratory analysis of self-reported field data demonstrates that age-based HRmax formulas show systematic underestimation and wide individual error in endurance athletes. These findings support the use of individualized, context-specific HRmax assessment, while highlighting the limitations of relying solely on age-based predictions.
Ausland et al. (Mon,) conducted a cross-sectional in Endurance athletes (n=4,375). Age-based HRmax prediction formulas (Tanaka and Fox) vs. Self-reported field HRmax was evaluated on Mean bias of Tanaka age-predicted HRmax compared to self-reported HRmax (Mean bias -4.8, 95% CI -5.1 to -4.5, p=<0.001). Age-based HRmax prediction formulas systematically underestimated self-reported field maximal heart rate by 4.8 to 5.8 bpm in endurance athletes.