Cited by 3,775Cardiovascular and exercise physiologyPhysical Activity and HealthCardiovascular Effects of Exercise

The DOI matches its Crossref record; 18 of the 20 references it cites were found in a registry or an index; 1 of the 31 sources its claims cite were checked for support.

Age-predicted maximal heart rate revisited

Open access
Tanaka, Hirofumi, Monahan, Kevin D, Seals, Douglas R·2001·Journal of the American College of Cardiology

Abstract

OBJECTIVES We sought to determine a generalized equation for predicting maximal heart rate (HRmax) in healthy adults. BACKGROUND The age-predicted HRmax equation (i.e., 220 - age) is commonly used as a basis for prescribing exercise programs, as a criterion for achieving maximal exertion and as a clinical guide during diagnostic exercise testing. Despite its importance and widespread use, the validity of the HRmax equation has never been established in a sample that included a sufficient number of older adults. METHODS First, a meta-analytic approach was used to collect group mean HRmax values from 351 studies involving 492 groups and 18,712 subjects. Subsequently, the new equation was cross-validated in a well-controlled, laboratory-based study in which HRmax was measured in 514 healthy subjects. RESULTS In the meta-analysis, HRmax was strongly related to age (r = -0.90), using the equation of 208 - 0.7 x age. The regression equation obtained in the laboratory-based study (209 - 0.7 x age) was virtually identical to that obtained from the meta-analysis. The regression line was not different between men and women, nor was it influenced by wide variations in habitual physical activity levels. CONCLUSIONS 1) A regression equation to predict HRmax is 208 - 0.7 x age in healthy adults. 2) HRmax is predicted, to a large extent, by age alone and is independent of gender and habitual physical activity status. Our findings suggest that the currently used equation underestimates HRmax…

Overview

Integrity signals

Registry

Crossref · 10.1016/s0735-1097(00)01054-8

Cites

18 of 18 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

15 Own interpretation · 13 Own result · 9 No full text of the sources · 3 Not checked yet · 2 Own method · 2 No basis given · 1 Partly supported · 1 Sources not found · accuracy not yet measured

Show all 31 claims

  • It may state two separate claims as one. 11
  • Probably not a substantial claim. 6
15 of 15
  • The paper relies on this without support.

    Older adults demonstrate the highest prevalence of cardiovascular and other chronic diseases.

    “The latter limitation is crucial in that older adults demonstrate the highest prevalence of cardiovascular and other chronic diseases.”
  • The paper relies on this without support.

    Older adults are often reluctant or unable to measure HRmax directly because of concerns about the physiologic stress imposed by strenuous exercise.

    “Importantly, older adults are a population in which there is often a reluctance or an inability to measure HR max directly, owing to concerns related to the physiologic stress imposed by strenuous exercise.”
  • The paper relies on this without support.

    The 220 − age HRmax prediction equation is used in older adults more than in any other population.

    “Thus, ironically, the 220 Ϫ age HR max prediction equation is used in this population more than in any other.”
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Metadata

Authors
Tanaka, H., Monahan, K. D., & Seals, D. R.
Affiliations
University of Colorado Boulder (US)
Corresponding author
Tanaka, Hirofumi
Venue
Journal of the American College of Cardiology
Publisher
Elsevier BV
Published
2001-01
Volume
37
Issue
1
Pages
153-156
ISSN
0735-1097 (ISSN-L)
OpenAlex
W2090296913
Cited by
3,775
References
20
Citations by year
2026: 249 · 2025: 277 · 2024: 304 · 2023: 240 · 2022: 295 · 2021: 262 · 2020: 273 · 2019: 259 · 2018: 246 · 2017: 189 · 2016: 182 · 2015: 174 · 2014: 178 · 2013: 149 · 2012: 107
FWCI
38.36
Type
journal article
Language
en
Open access
Locations
  • Journal of the American College of Cardiology (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute on Aging (AG-13038, AG 00847, AG-06537, R01AG006537)
Topics
  • Health Sciences › Medicine › Physiology (medical) › Cardiovascular and exercise physiology
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Effects of Exercise
Keywords
maximal heart rate, heart rate prediction equations, older adults, exercise prescription, exercise testing, physical stress, physical activity behavior, sex differences
MeSH terms
Adult, Aged, Aged, 80 and over, Aging, Female, Heart Rate, Humans, Male, Middle Aged, Reference Values

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