Key result
The Gellish(2) and Fairbarn equations were the most accurate for estimating maximum heart rate in college-aged subjects, whereas the Fox equation overpredicted HRmax in 88.5% of cases.
Why the study?
Do age-predicted HRmax equations accurately predict actual maximum heart rate in healthy college-aged subjects?
Cross-Sectional (n=96)
Do age-predicted HRmax equations accurately predict actual maximum heart rate in healthy college-aged subjects?
The Gellish(2) and Fairbarn equations are the most accurate for predicting maximum heart rate in college-aged individuals, whereas the commonly used Fox equation significantly overpredicts it.
Answers are grounded in this paper and cite their sources.
Should not yet change HRmax estimation practices in young adults; leaves open need for prospective validation of equation performance.
This study investigated the accuracy of age-predicted equations to predict heart rate maximum (HRmax) in a college-age sample and establish efficacy of short-duration anaerobic capacity tests to determine the actual HRmax. A criterion HRmax (CHRmax) was obtained from 96 (52 men and 44 women, age = 22.0 ± 2.8 years, height = 163.9 ± 9.5 cm, 70.6 ± 14.7 kg, resting HR = 68.9 ± 11.2 b·min) healthy volunteers during 2 200-m sprint trials on a standard track. Maximal effort was confirmed via plasma lactate ≥7 mmol·L(-1) and rating of perceived exertion ≥17 points. The CHRmax was compared to 7 age-predicted HRmax equations: Fox et al., 3 equations from Gellish et al., Tanaka et al., and gender-specific equations from Fairbarn et al., and Hossack et al. Descriptive statistics and standard errors of estimate (SEEs) were calculated. One-way analysis of variance was used to assess differences between the criterion HRmax and the age-predicted HRmax from the 7 equations. The predicted HRmax from the Fox equation and those of Gellish(3), Tanaka, and Hossack were all significantly higher (p ≤ 0.05) than the CHRmax. The Fox equation resulted in overpredicting HRmax in 88.5% of the cases compared to the CHRmax. Compared to the CHRmax, the age-predicted HRmax equations resulted in the following percentages of the CHRmax: Fox = 104.8%, SEE = 12.7; Gellish(1) = 95.2%, SEE = 12.2; Gellish(2) = 99.6%, SEE = 8.3; Gellish(3) = 101.8%, SEE = 9.1; Tanaka = 102.0%, SEE = 9.3; Fairbarn = 100.1%, SEE = 8.5; and Hossack = 105.2%, SEE = 13.9 of CHRmax. It was concluded that the Gellish(2) and Fairbarn equations were the most accurate of the age-predicted HRmax equations in a college-age population. In practical application, 2 200-m sprint trials provide a reasonable estimate of HRmax compared to a graded exercise test.
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Cleary et al. (2011) conducted a cross-sectional in Healthy volunteers (n=96). Age-predicted maximum heart rate equations vs. Criterion maximum heart rate (CHRmax) was evaluated on Difference between criterion HRmax and age-predicted HRmax (p=≤0.05). The Gellish(2) and Fairbarn equations were the most accurate for estimating maximum heart rate in college-aged subjects, whereas the Fox equation overpredicted HRmax in 88.5% of cases.
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