Evidence map›Paper›PMID 42088591›Full record

ArticleFrontiers in sports and active living2026

An exploratory study of maximal heart rate determination in endurance athletes: laboratory testing vs. field based.

Ådne Ausland, Bence Kelemen, Stephen Seiler

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Article in Frontiers in sports and active living, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Ådne AuslandDepartment of Sport Science and Physical Education, Faculty of Health and Sport Science, University of Agder, Kristiansand, Norway.
Bence KelemenHungarian University of Sport Science, School of Doctoral Studies; Budapest, Hungary.
Stephen SeilerDepartment of Sport Science and Physical Education, Faculty of Health and Sport Science, University of Agder, Kristiansand, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 ( 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.

Indexed as

endurance athletesfield-based monitoringheart rate reservemaximal heart rateresting heart rateself-reported data

Identifiers

PMID42088591
PMCPMC13136085

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.