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Age-Predicted Maximal Heart Rate in Recreational Marathon Runners: A Cross-Sectional Study on Fox's and Tanaka's Equations

Overview of attention for article published in Frontiers in Physiology, March 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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Title
Age-Predicted Maximal Heart Rate in Recreational Marathon Runners: A Cross-Sectional Study on Fox's and Tanaka's Equations
Published in
Frontiers in Physiology, March 2018
DOI 10.3389/fphys.2018.00226
Pubmed ID
Authors

Pantelis T. Nikolaidis, Thomas Rosemann, Beat Knechtle

Abstract

Age-based prediction equations of maximal heart rate (HRmax), such as the popular formulas Fox's 220-age, or Tanaka's 208-0.7 × age, have been widely used in various populations. Surprisingly, so far these equations have not been validated in marathon runners, despite the importance of the role of HRmax for training purposes in endurance running. The aim of the present study was to examine the validity of Fox and Tanaka equations in a large sample of women and men recreational marathon runners. Participants (n = 180, age 43.2 ± 8.5 years, VO2max 46.8 mL/min/kg, finishers in at least one marathon during the last year) performed a graded exercise test on a treadmill, where HRmax was measured. Measured HRmax correlated largely with age in the total sample (r = -0.50, p < 0.001), women (r = -0.60, p < 0.001) and men (r = -0.53, p < 0.001). In women, a large main effect of method on HRmax (p = 0.001, η2 = 0.294) was shown with measured HRmax lower than Fox-HRmax (-4.8 bpm; -8.4, -1.3) and Tanaka-HRmax (-4.9 bpm; -8.1, -1.8). In men, a moderate effect of assessment method on HRmax was found (p = 0.001, η2 = 0.066) with measured HRmax higher than Fox-HRmax (+2.8; 1.0, 4.6), Tanaka-HRmax higher than Fox-HRmax (+1.2; 0.7, 1.7). Based on these findings, it was concluded that Fox and Tanaka' formulas overestimated HRmax by ~5 bpm in women, whereas Fox underestimated HRmax in men by ~3 bpm. Thus, we recommend the further use of Tanaka's formula in men marathon runners. In addition, exercise physiologists and sport scientists should consider the observed differences among various assessment methods when performing exercise testing or prescribing training program relying on HR.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 115 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 18 16%
Student > Master 12 10%
Student > Ph. D. Student 10 9%
Researcher 9 8%
Student > Postgraduate 6 5%
Other 23 20%
Unknown 37 32%
Readers by discipline Count As %
Medicine and Dentistry 22 19%
Sports and Recreations 20 17%
Nursing and Health Professions 11 10%
Computer Science 6 5%
Psychology 4 3%
Other 14 12%
Unknown 38 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 December 2022.
All research outputs
#4,825,443
of 23,342,092 outputs
Outputs from Frontiers in Physiology
#2,449
of 14,074 outputs
Outputs of similar age
#93,836
of 334,607 outputs
Outputs of similar age from Frontiers in Physiology
#91
of 406 outputs
Altmetric has tracked 23,342,092 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,074 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 334,607 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 406 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.