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 accessAbstract
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…
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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
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“However, similar to the original reports by Fox and Haskell (7,8), these studies probably or definitely included subjects with cardiovascular disease who smoked and/or were taking cardiac medications.”
§ Age-Predicted Maximal Heart Rate Revisited > DISCUSSION
What the sources say
- Not checked — no full text of the sourcecites [9] Londeree, 1984, Influence of age and other factors on maximal heart rate, J Cardiac Rehabil
- Not checked — no full text of the sourcecites [10] Whaley, 1992, Predictors of over- and underachievement of age-predicted maximal heart rate, Med Sci Sports Exerc source
- Partly supportedcites [11] Sheffield, 1978, Maximal heart rate and treadmill performance of healthy women in relation to age, Circulation sourceExperimental — accuracy not yet measured
Subjects and Methods (p. 1) reports that three volunteers took mild antihypertensive medications and that none had been told she had cardiovascular disease other than elevated blood pressure. This supports the medication concern in part, but the paper does not report that its volunteers smoked or had other known cardiovascular disease. Its introduction (p. 1) also says medication use was unreported in an earlier study, not that those subjects definitely took medication. (LLM, conf=0.85)
- Not matchedcites [7] Fox, 1970, The exercise stress test
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not checked — no full text of the sourcecites [8] Fox, 1971, Physical activity and the prevention of coronary heart disease, Ann Clin Res source
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“using the equation of 208 Ϫ 0.7 ϫ age.”
- Also stated in: § RESULTS · plain
“The regression equation, when all the subjects were combined, was 208 Ϫ 0.7 ϫ age.”
- Also stated in: § DISCUSSION · plain
“First, a regression equation for estimating HR max is 208 Ϫ 0.7 ϫ age in healthy adult humans, which is significantly different from the traditional 220 Ϫ age equation.”
§ Age-Predicted Maximal Heart Rate Revisited > Abstract
plaincorrelationaln = 18,712- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Also stated in: § RESULTS · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The regression equation obtained in the laboratory-based study (209 Ϫ 0.7 ϫ age) was virtually identical to that obtained from the meta-analysis.”
§ Age-Predicted Maximal Heart Rate Revisited > Abstract
plainn = 514- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“First, a regression equation for estimating HR max is 208 Ϫ 0.7 ϫ age in healthy adult humans, which is significantly different from the traditional 220 Ϫ age equation.”
§ Age-Predicted Maximal Heart Rate Revisited > DISCUSSION
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The regression equation for HR max (209 Ϫ 0.7 ϫ age) was virtually identical to that obtained from the meta-analysis.”
§ Age-Predicted Maximal Heart Rate Revisited > RESULTS
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“the rate of decline in HR max observed in the present study is very similar to that reported previously for intrinsic heart rate determined after cardiac autonomic blockade (Ϫ0.6 Ϫ 0.8 beats/min per year) (14,15).”
§ Age-Predicted Maximal Heart Rate Revisited > Mechanisms.
What the sources say
- Not checked — no full text of the sourcecites [14] Jose, 1970, The normal range and determinants of the intrinsic heart rate in man, Cardiovasc Res source
- Not checked — no full text of the sourcecites [15] de Marneffe, 1986, Variations of normal sinus node function in relation to age, Eur Heart J source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Stepwise regression analysis revealed that age alone explained ϳ80% of the individual variance in HR max .”
§ Age-Predicted Maximal Heart Rate Revisited > RESULTS
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Again, no significant differences in the HR max regression equation were observed between men and women”
§ Age-Predicted Maximal Heart Rate Revisited > RESULTS
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Maximal heart rate was inversely related to age in both men and women.”
§ Age-Predicted Maximal Heart Rate Revisited > RESULTS
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“or between sedentary (212 Ϫ 0.7 ϫ age) and endurance-trained (205 Ϫ 0.6 ϫ age) subjects.”
§ Age-Predicted Maximal Heart Rate Revisited > RESULTS
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- It may state two separate claims as one. 11
- Probably not a substantial claim. 6
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The rate of decline and the y intercepts were not different between men and women”
§ Age-Predicted Maximal Heart Rate Revisited > RESULTS
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Data from treadmill and cycle ergometers were evaluated together and separately.There were no differences in the results between the two analyses.”
§ Age-Predicted Maximal Heart Rate Revisited > Meta-analytic study.
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The maximal respiratory exchange ratio (1.17 Ϯ 0.06) and maximal rating of perceived exertion (19.1 Ϯ 0.8) were not different across ages, suggesting consistently similar voluntary maximal efforts.”
§ Age-Predicted Maximal Heart Rate Revisited > RESULTS
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“HR max is predicted, to a large extent, by age alone and is independent of gender and habitual physical activity status.”
- Also stated in: § DISCUSSION · plain
“Second, HR max is predicted, to a large extent, by age alone and is independent of gender and physical activity status.”
§ Age-Predicted Maximal Heart Rate Revisited > Abstract
plaincorrelationaln = 18,712- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Also stated in: § DISCUSSION · plain
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“consistent with the present findings, gender (14) and habitual physical activity (16) do not appear to influence intrinsic heart rate in humans.”
§ Age-Predicted Maximal Heart Rate Revisited > Mechanisms.
What the sources say
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Specifically, the traditional equation underestimates HR max past age 40 years, markedly so in older adults.”
- Also stated in: § Abstract · hedged
“Our findings suggest that the currently used equation underestimates HR max in older adults.”
§ Age-Predicted Maximal Heart Rate Revisited > Conclusions.
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Also stated in: § Abstract · hedged
None of the sources cited for this claim have been checked yet.
In the paper
“The age-predicted HR max equation (i.e., 220 Ϫ 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.”
§ Age-Predicted Maximal Heart Rate Revisited > Abstract
What the sources say
- Not matchedcites [1] 2000
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not checked — no full text of the sourcecites [2] Fletcher, 1997, How to implement physical activity in primary and secondary prevention, Circulation source
- Not checked — no full text of the sourcecites [3] Gibbons, 1997, ACC/AHA guidelines for exercise testing, J Am Coll Cardiol source
- Not checked — no full text of the sourcecites [4] Tanaka, 1997, Greater rate of decline in maximal aerobic capacity with age in physically active vs. sedentary healthy women, J Appl Physiol source
- Not checked — no full text of the sourcecites [5] Howley, 1995, Criteria for maximal oxygen uptake, Med Sci Sports Exerc source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
- Not matched
In the paper
“use of the prevailing prediction equation would result in premature termination of the test and possibly failure to attain required exertion levels for diagnostic validity.”
§ Age-Predicted Maximal Heart Rate Revisited > DISCUSSION
What the sources say
- Not checked — no full text of the sourcecites [3] Gibbons, 1997, ACC/AHA guidelines for exercise testing, J Am Coll Cardiol source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“To ensure that each subject achieved maximal exertion, at least three of the following four criteria were met by each subject: 1) a plateau in VO 2 with increasing exercise intensity (Ͻ100 ml); 2) a respiratory exchange ratio of at least 1.15; 3) a maximal respiratory rate of at least 35 breaths/min; and 4) a rating of perceived exertion of at least 18 units on the Borg scale (5).”
§ Age-Predicted Maximal Heart Rate Revisited > Meta-analytic study.
What the sources say
- Not checked — no full text of the sourcecites [5] Howley, 1995, Criteria for maximal oxygen uptake, Med Sci Sports Exerc source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“Each of these conditions influences HR max independent of age (10,12,13).”
§ Age-Predicted Maximal Heart Rate Revisited > DISCUSSION
What the sources say
- Not checked — no full text of the sourcecites [10] Whaley, 1992, Predictors of over- and underachievement of age-predicted maximal heart rate, Med Sci Sports Exerc source
- Not checked — no full text of the sourcecites [12] Wilmore, 1985, Acute response to submaximal and maximal exercise consequent to beta-adrenergic blockade, Am J Cardiol source
- Not checked — no full text of the sourcecites [13] Graettinger, 1995, Relationship of left ventricular structure to maximal heart rate during exercise, Chest source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“To eliminate the potentially confounding influence of severe obesity, only subjects with a body mass index Ͻ35 kg/m 2 were included.”
§ Age-Predicted Maximal Heart Rate Revisited > Meta-analytic study.
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
In the paper
“Subjects Ͼ50 years of age were further evaluated by physical examination and by rest and maximal exercise electrocardiography ECG (3).”
§ Age-Predicted Maximal Heart Rate Revisited > Meta-analytic study.
What the sources say
- Not checked — no full text of the sourcecites [3] Gibbons, 1997, ACC/AHA guidelines for exercise testing, J Am Coll Cardiol source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“The age-predicted equation was determined “arbitrarily” from a total of 10 studies.The highest age included was Ͻ65 years, with the majority of subjects being Յ55 years old.”
§ Age-Predicted Maximal Heart Rate Revisited > DISCUSSION
What the sources say
- Not matchedcites [7] Fox, 1970, The exercise stress test
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not checked — no full text of the sourcecites [8] Fox, 1971, Physical activity and the prevention of coronary heart disease, Ann Clin Res source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Not matched
In the paper
“Because we have previously shown that weighted results by sample size were not significantly different from unweighted results (6), no weighting scheme was used in the present meta-analysis.”
§ Age-Predicted Maximal Heart Rate Revisited > Meta-analytic study.
What the sources say
- Not checked — no full text of the sourcecites [6] Fitzgerald, 1997, Age-related decline in maximal aerobic capacity in regularly exercising vs. sedentary females, J Appl Physiol source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“It has been postulated that the primary mechanism is related to an age-related decline in intrinsic heart rate (i.e., independent of autonomic influences) (14,15).”
§ Age-Predicted Maximal Heart Rate Revisited > Mechanisms.
What the sources say
- Not checked — no full text of the sourcecites [14] Jose, 1970, The normal range and determinants of the intrinsic heart rate in man, Cardiovasc Res source
- Not checked — no full text of the sourcecites [15] de Marneffe, 1986, Variations of normal sinus node function in relation to age, Eur Heart J source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
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.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source doesn’t support the claim as written.
In the citing paper
“The standard deviation for error between predicted and directly-measured maximal heart rate is roughly 13bpm [43].”
From Resting heart rate is a population-level biomarker of cardiorespiratory fitness: The Fenland Study (2023) · cites this paper as [43]
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Moreover, the validity of this equation has never been established in a sample that included a sufficient number of older adults; accordingly, it's utility has been challenged [ 32 , 33 ].”
From Physical activity, cardiorespiratory fitness, and cardiovascular health: A clinical practice statement of the American Society for Preventive Cardiology Part II: Physical activity, cardiorespiratory fitness, minimum and goal intensities for exercise training, prescriptive methods, and special patient populations (2022) · cites this paper as [32]
In the citing paper
“The age-associated decline in maximal heart rate is typically reported to be unaltered by exercise training,139-142 but some evidence suggests that the decline in maximal heart rate with age can be attenuated by vigorous exercise.143-145”
From Hormonal and Metabolic Changes of Aging and the Influence of Lifestyle Modifications (2021) · cites this paper as [142]
Citations
Cites
(2014) · Medical Entomology and Zoology · Cited by 9,400
ACC/AHA 2002 Guideline Update for Exercise Testing: Summary Article
Gibbons, R. J., Balady, G. J., Bricker, J. T., CHAITMAN, B. R., Fletcher, G. F., Froelicher, V. F., Mark, D. B., McCallister, B. D., Mooss, A. N., O’Reilly, M. G., et al. (2002) · Circulation · doi:10.1161/01.cir.0000034670.06526.15 · Cited by 2,583
Criteria for maximal oxygen uptake: review and commentary
HOWLEY, E. T., BASSETT, D. R., & WELCH, H. G. (1995) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199509000-00009 · Cited by 1,656 · cited 3×
“particular study group; 5) adult subjects; 6) maximal exertion documented by using objective criteria (5); and 7) only healthy (e.”
BackgroundMethodGibbons, R. J., Balady, G. J., Beasley, J. W., FAAFP, Bricker, J. T., Duvernoy, W. F. C., Froelicher, V. F., Mark, D. B., Marwick, T. H., McCallister, B. D., et al. (1997) · Circulation · doi:10.1161/01.cir.96.1.345 · Cited by 1,094
The normal range and determinants of the intrinsic heart rate in man
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Guidelines for exercise testing
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Physical activity and the prevention of coronary heart disease
Fox, S. M., & Naughton, J. P. (1972) · Preventive Medicine · doi:10.1016/0091-7435(72)90079-5 · Cited by 497
Fitzgerald, M. D., Tanaka, H., Tran, Z. V., & Seals, D. R. (1997) · Journal of Applied Physiology · doi:10.1152/jappl.1997.83.1.160 · Cited by 308
Self-citationPhysical activity and prevention of coronary heart disease.
Rocha, E. (2005) · PubMed · Cited by 291
Tanaka, H., Desouza, C. A., Jones, P. P., Stevenson, E. T., Davy, K. P., & Seals, D. R. (1997) · Journal of Applied Physiology · doi:10.1152/jappl.1997.83.6.1947 · Cited by 216 · cited 3×
“Minute oxygen consumption (V̇O2) also was measured using on-line, computerassisted, open-circuit spirometry (4).”
MethodSelf-citation
Cited by
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“1; (4) achieving 90% of age predicted maximum heart rate (31); (5) pedalling rate < 50 rpm due to leg fatigue or shortness of breath.”
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Assessment of Vascular Function in Response to High-Fat and Low-Fat Ground Beef Consumption in Men
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“An incremental graded exercise test to the 80% age-predicted maximal heart rate [42,43] was conducted”
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Arch Stiffness Does Not Determine Running Economy in Recreational Runners
Bradford, I., Kirkwood, P., Eddy, J., Essenmacher, P., McCrory, J. L., & Leary, B. K. (2023) · International journal of exercise science · doi:10.70252/dzdb1603 · Cited by 3
Tadiotto, M. C., Corazza, P. R. P., de Menezes-Junior, F. J., Tozo, T. A. A., Lopes, M. D. F. A., Lopes, W. A., da Silva, L. R., Pizzi, J., Mota, J. A. P. S., & Leite, N. (2023) · Journal of Endocrinological Investigation · doi:10.1007/s40618-023-02145-w · Cited by 3
“Test was terminated when: (a) exhaustion or inability to maintain the required speed; (b) respiratory exchange ratio (RER) ≥ 1.0; (c) achieve the HR max predicted [25].”
InfluentialMachado, A. F., Vale, R. G. D. S., Leite, C. D. F. C., et al. (2023) · Retos · doi:10.47197/retos.v51.99199 · Cited by 3
Michalik, K., Smolarek, M., Borkowski, J., Tchorowski, M., Korczuk, N., Gorczyca, P. W., Wojtarowicz, N., & Zatoń, M. W. (2023) · Healthcare · doi:10.3390/healthcare11202800 · Cited by 3
“The predicted maximal heart rate (HRmax pred ) was calculated using the formula [63]: 208 − 0.7 · age (years).”
MethodInfluentialA Description of Exercise Programs Implemented During a Firefighter Training Academy
Mang, Z. A., Beam, J. R., Vigil, E. D., & Martinez, A. H. (2023) · Journal of Occupational and Environmental Medicine · doi:10.1097/jom.0000000000003030 · Cited by 3
de Oliveira, V. N., Viana, R. B., de Freitas, J. V. R., Rodrigues, M. A. M., Andrade, M. S., Vancini, R. L., Weiss, K., Knechtle, B., & de Lira, C. A. B. (2024) · BMC Sports Science Medicine and Rehabilitation · doi:10.1186/s13102-024-00859-9 · Cited by 6
“The HRmax was estimated using the following age-predicted HRmax equation: HRmax = 208 − 0.7 × age [42].”
MethodInfluentialGorecka, M. M., Craven, T. P., Jex, N., et al. (2024) · The International Journal of Cardiovascular Imaging · doi:10.1007/s10554-024-03141-8 · Cited by 3
“The exercise protocol used in this study was in accordance with the heart rate reserve (HRR) and an age predictive maximal heart rate model [14].”
InfluentialYamane, N., Mishra, V., & Goodwin, M. S. (2024) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-031-59717-6_8 · Cited by 3
COVID-19 as a Factor Influencing Maximal Heart Rates among Male University Students
Podstawski, R., Borysławski, K., & Wąsik, J. (2024) · Applied Sciences · doi:10.3390/app14146146 · Cited by 3
Harada, M., Engl, T., Köble, K., Mühlbauer, F., Baumgartner, L., Goeder, D., Dettenhofer, M., & Oberhoffer, R. (2024) · CJC Pediatric and Congenital Heart Disease · doi:10.1016/j.cjcpc.2024.08.001 · Cited by 3
“21,22 The peak VO ₂ value refers to the highest VO ₂ achieved during the test.”
Koskinen, E., Henttonen, P., Harjunen, V. J., Krusemark, E. A., Piispanen, M., Voutilainen, L., Wuolio, M. P., & Peräkylä, A. (2024) · PLoS ONE · doi:10.1371/journal.pone.0302703 · Cited by 4
“This finding corresponds to the well-established pattern of task-related HR decreasing as a function of age [59].”
ResultDunsford, J. R., Dhaliwal, J. K., Grift, G. O., Pryce, R., Dominelli, P. B., & Molgat‐Seon, Y. (2024) · Physiological Reports · doi:10.14814/phy2.70068 · Cited by 3
“On average, participants achieved respiratory exchange ratios > 1.10 and near maximum heart rates based on predicted normal values (Tanaka et al., 2001), indicating that maximal effort was exerted during both visits.”
BackgroundInfluentialBrotto, A. R., de Waal, S., D’Souza, A. W., et al. (2024) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00447.2024 · Cited by 3
Kalina, A., Kalina, R. M., Kruszewski, A., & Kruszewski, M. (2024) · Physical Education of Students · doi:10.15561/20755279.2024.0604 · Cited by 3
“The HR measurements taken are sufficient to make the interpretations recommended by physiology, medicine and ergonomics [35, 36, 37].”
Galantine, P., Sudlow, A., Hays, A., Maso, F., Duché, P., & Bertin, D. (2025) · PLoS ONE · doi:10.1371/journal.pone.0316947 · Cited by 3
Kuroda, S., Kawamura, I., Sahashi, Y., Tonegawa‐Kuji, R., & Kuno, T. (2025) · International Journal of Cardiology · doi:10.1016/j.ijcard.2025.133022 · Cited by 3
Prospero, L., Riezzo, G., D’Attoma, B., Ignazzi, A., Bianco, A., Franco, I., Curci, R., Campanella, A., Bagnato, C. B., Porcelli, P., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-88466-7 · Cited by 6
Correlations Between Body Composition and Aerobic Fitness in Elite Female Youth Water Polo Players
Zámodics, M., Babity, M., Schay, G., Leel-Őssy, T., Bucskó-Varga, Á., Kulcsar, P., Benko, R., Boroncsok, D., Fábián, A., Ujvári, A., et al. (2025) · Sports · doi:10.3390/sports13020051 · Cited by 4
“Although, as in previous studies, we found no correlation with body composition, we did observe a strong relationship between age and maximum heart rate, which still appears to be the best predictor of maximum heart rate [39,40].”
Janssen, S. L. J. E., Aengevaeren, V. L., VRIES, F. D., Kleinnibbelink, G., Mingels, A. M. A., Hopman, M. T. E., Mosterd, A., Velthuis, B. K., Riksen, N. P., & Eijsvogels, T. M. H. (2025) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000003674 · Cited by 3
The impact of a two-hour endurance run on brain activity monitored over 24 h
Boere, K., Copithorne, F., & Krigolson, O. E. (2025) · Experimental Brain Research · doi:10.1007/s00221-025-07056-1 · Cited by 4
“Maxi - mum heart rate was estimated based on age (208 - [0.7 x age]; Tanaka et al. 2001), and participants were given a target heart rate range, allowing them to adjust their pace within this range.”
InfluentialStrakeljahn, F., Lincoln, T. M., & Schlier, B. (2025) · Psychological Medicine · doi:10.1017/s0033291725000881 · Cited by 3
Bandyopadhyay, A. (2013) · PubMed · Cited by 3
Cardiovascular and Perceptual Responses to an Ultraendurance Channel Swim: A Case Study
Judelson, D. A., Bagley, J. R., Schumacher, J. M., et al. (2015) · Wilderness and Environmental Medicine · doi:10.1016/j.wem.2015.02.003 · Cited by 3
“Although the HRmax prediction equation utilized in this study was specific to women,(24) it may have underpredicted HRmax (increasing relative intensity) when compared with other equations.(33) The participant’s swim velocity averaged 1.”
ResultINFLUÊNCIA DA COMPOSIÇÃO CORPORAL REGIONAL E TOTAL SOBRE O DESEMPENHO DE NADO E ÍNDICES AERÓBIOS
Filho, D. M. P., Simionato, A. R., Siqueira, L. O. D. C., Espada, M. C., & Pestana, D. (2016) · Revista Brasileira de Medicina do Esporte · doi:10.1590/1517-869220162203151766 · Cited by 3
Soori, R., Asad, M. R., Khosravi, M., & Abbasian, S. (2016) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 3
da Silva, D. F., Nakamura, F. Y., & Machado, F. A. (2016) · Revista Brasileira de Educação Física e Esporte · doi:10.1590/1807-55092016000300523 · Cited by 3
Coronary Heart Disease and Exercises
Saka, T. (2017) · Turkish Journal of Sports Medicine · doi:10.5152/tjsm.2016.007 · Cited by 3
Marinaro, G., Xu, Z., Chen, Z., et al. (2018) · Energies · doi:10.3390/en11020305 · Cited by 3
Agarwal, M., Singh, S., Sharma, P., & Saini, R. (2019) · The Journal of Sports Medicine and Physical Fitness · doi:10.23736/s0022-4707.17.08002-1 · Cited by 3
da Cruz, C. J. G., Porto, L. G. G., Garcia, G. L., da Silva, R. A. S., & Molina, G. E. (2019) · Motriz Revista de Educação Física · doi:10.1590/s1980-6574201900030017 · Cited by 3
Visualization of Generic Utility of Sequential Patterns
Wiktorski, T., Królak, A., Rosińska, K., et al. (2020) · IEEE Access · doi:10.1109/access.2020.2989165 · Cited by 3
Cardiac Responses to Submaximal Isometric Contraction and Aerobic Exercise in Healthy Pregnancy
Meah, V. L., Backx, K., Cockcroft, J. R., Shave, R., & Stöhr, E. J. (2020) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000002554 · Cited by 3
Jai, N. A. M., Rosly, M. M., & Razak, N. A. A. (2020) · IEEE Transactions on Games · doi:10.1109/tg.2020.3039838 · Cited by 3
“7 ×age) [39], was used to calculate the percentage of HRmax.”
MethodBanerjee, B., Kapourchali, M. H., Baruah, M., et al. (2021) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9781611976700.77 · Cited by 3
“HRmax can be calculated as a function of age [42].”
BackgroundEstimating VO2max Using a Personalized Step Test
Webb, C. (2012) · ScholarsArchive (Brigham Young University) · Cited by 3
Barbosa, W. A., Rica, R. L., Pontes, F. L., Reis, V. M., Bergamin, M., & Bocalini, D. S. (2022) · Motriz Revista de Educação Física · doi:10.1590/s1980-657420220020521 · Cited by 3
“The maximal and its percentage of heart rate were estimated using the Tanaka et al.(19) equation.”
MethodInfluentialDetermination of the real training load based on monitoring of K1 kickboxing bouts
Rydzik, Ł. (2022) · Journal of Kinesiology and Exercise Sciences · doi:10.5604/01.3001.0016.0606 · Cited by 3
“They are used to determine HRmax under training or competitive conditions and are being constantly improved [13].”
MethodColedam, D. H. C., Talamoni, G. A., Cozin, M., et al. (2009) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · doi:10.5016/2053 · Cited by 3
COMPARAÇÃO DA FREQÜÊNCIA CARDÍACA MÁXIMA E ESTIMADA POR DIFERENTES EQUAÇÕES
Tibana, R. A., Barros, E., Silva, P. D. B., da Silva, R. A. S., Bálsamo, S., & Oliveira, A. S. (2009) · Redalyc (Universidad Autónoma del Estado de México) · Cited by 3
Schofield, J. R. (2012) · OhioLink ETD Center (Ohio Library and Information Network) · Cited by 3
Coelho, D. B., Coelho, L. G. M., Mortimer, L. Á., et al. (2012) · Brazilian Journal of Kinanthropometry and Human Performance · doi:10.5007/1980-0037.2012v14n4p419 · Cited by 3
Respostas cardiovasculares pós-exercício de natação
Esteves, L. M. Z. S., Simões, H. G., de Oliveira, S. M. L., et al. (2010) · Revista Brasileira de Medicina do Esporte · doi:10.1590/s1517-86922010000600004 · Cited by 3
Precisión de las ecuaciones para estimar la frecuencia cardíaca máxima en cicloergómetro
Marins, J. C. B., Delgado‐Fernández, M., & Peinado, P. J. B. (2013) · Hispana · Cited by 4
López, J. A. H., Martínez, P. Y. O., Alarcón-Meza, E. I., et al. (2014) · Health · doi:10.4236/health.2014.61012 · Cited by 3
“7 × age [29], exercising through alternating movements between arms”
BackgroundLimiar de lactato em exercício resistido em idosos
Souza, M. V. C., Pereira, G. B., Bertucci, D. R., et al. (2013) · Motricidade · doi:10.6063/motricidade.9(1).2466 · Cited by 3
Effects of aerobic exercise intensity on serum cortisol and testosterone in trained young men
Sanavi, S., & Kohanpour, M.-A. (2013) · Saudi Journal of Sports Medicine · doi:10.4103/1319-6308.112232 · Cited by 3
An Exercise Data Logging System for Retrofitting Gym Equipment
Patch, C., Li, K. F., & Gooch, B. (2014) · International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS) · doi:10.1109/imis.2014.21 · Cited by 3
Mays, R. J., Goss, F. L., Nagle, E. F., Gallagher, M. S., Schafer, M. A., Kim, K. H., & Robertson, R. J. (2014) · Perceptual and Motor Skills · doi:10.2466/27.29.pms.118k28w7 · Cited by 3
Voets, P. J. G. M., & Maas, R. P. P. W. M. (2015) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2015.12.009 · Cited by 4
da Silva, J. E., Teixeira, A. M., Dantas, E. H. M., et al. (2015) · Revista Brasileira de Medicina do Esporte · doi:10.1590/1517-8692201521032115 · Cited by 3
Resposta hemodinâmica aguda a uma sessão de exercício físico multicomponente em idosos
Carvalho, J., Marques, E. A., & Mota, J. (2008) · Revista Portuguesa de Ciências do Desporto · doi:10.5628/rpcd.08.01.103 · Cited by 3
The aging athlete: risks and benefits of exercise
Pyron, M. I. (2002) · Current Opinion in Orthopedics · doi:10.1097/00001433-200204000-00010 · Cited by 3
Gil, C., de Araújo, S., Liane, V., & Pinto, M. (2005) · Arquivos Brasileiros de Cardiologia · Cited by 3
Hyperlipidemia Management for Primary Care
Reamy, B. V. (2008) · Springer eBooks · doi:10.1007/978-0-387-76606-5 · Cited by 5
Silva, D. A. S., Petróski, E. L., Pelegrini, A., et al. (2012) · Turkish Journal of Endocrinology and Metabolism · Cited by 3
EFEITO AGUDO DOS EXERCÍCIOS INTERMITENTES SOBRE A GLICEMIA DE ADOLESCENTES COM DIABETES TIPO 1
de Lima, V. A., Mascarenhas, L. P. G., Decimo, J. P., de Souza, W. C., Nesi-França, S., & Leite, N. (2017) · Revista Brasileira de Medicina do Esporte · doi:10.1590/1517-869220172301158088 · Cited by 3
Chagas, T. P. N., Souza, L. M. V., Santos, T., de Jesus, B. O., Dantas, E. H. M., & Prado, E. S. (2017) · journal of physical education · doi:10.4025/jphyseduc.v28i1.2804 · Cited by 4
Towards VO2 monitoring: Validation of a heart rate based algorithm
Manzoni, C., Carrard, A., Fontana, E., Lemay, M., Bertschi, M., & Delgado-Gonzalo, R. (2017) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2017.8037189 · Cited by 3
“[8], Haskell & Fox [9], Robergs & Landwehr [10], Gellish [11, 12], Londeree & Moeschberger [13], or Miller et al.”
BackgroundWith age a lower individual breathing reserve is associated with a higher maximal heart rate
Burtscher, M., Gatterer, H., Faulhaber, M., & Burtscher, J. (2017) · Respiratory Physiology & Neurobiology · doi:10.1016/j.resp.2017.09.005 · Cited by 3
A new age-based equation for predicting maximum heart rate in endurance-trained runners
Machado, F. A., Kravchychyn, A. C. P., Peserico, C. S., da Silva, D. F., & Mezzaroba, P. V. (2018) · Revista Brasileira de Ciências do Esporte · doi:10.1016/j.rbce.2018.01.003 · Cited by 3
“In summary, the results from the present study suggest that the proposed ‘‘218 − 0.8 × age’’ equation should be used to predict HRmax in recreational endurance-trained runners rather than the well-known ‘‘206 − 0.7 × age’’ equation proposed by Tanaka et al. (2001).”
BackgroundMethodResultInfluentialBenefits of Pulmonary Rehabilitation in Idiopathic Pulmonary Fibrosis
Perrotta, F., Bianco, A., Cioffi, G., et al. (2018) · Journal of Cardiopulmonary Rehabilitation and Prevention · doi:10.1097/hcr.0000000000000319 · Cited by 3
Mahmod, S. R., Narayanan, L. T., & Supriyanto, E. (2018) · Journal of Physical Therapy Science · doi:10.1589/jpts.30.933 · Cited by 3
Carraro, A., Elliot, C., & Gobbi, E. (2018) · Applied Ergonomics · doi:10.1016/j.apergo.2018.08.015 · Cited by 3
Aaron, S. E., & Gregory, C. M. (2018) · Topics in Stroke Rehabilitation · doi:10.1080/10749357.2018.1487156 · Cited by 3
Długosz, D., Królak, A., Eftestøl, T. C., et al. (2018) · Annals of Computer Science and Information Systems · doi:10.15439/2018f247 · Cited by 3
“7 ·Age [19].”
Grayston, F. (2018) · InnovAiT Education and inspiration for general practice · doi:10.1177/1755738018793446 · Cited by 3
Do Obese Children Achieve Maximal Heart Rate during Treadmill Running?
Berntsen, S., Edvardsen, E., Gerbi, S., Kolsgaard, M. L. P., & Anderssen, S. A. (2019) · Sports · doi:10.3390/sports7010026 · Cited by 5
“Protocols adapted to children’s motor skills and motivation should be developed as peak HR is a commonly used variable in clinical medicine and physiology prescribing exercise intensity in rehabilitation and disease prevention programs [9].”
BackgroundMethodExercises for Older Adults With Knee and Hip Pain
Peterson, N. E., Osterloh, K. D., & Graff, M. (2019) · The Journal for Nurse Practitioners · doi:10.1016/j.nurpra.2018.12.029 · Cited by 3
Ionized and Total Magnesium Levels Change during Repeated Exercise in Older Adults
Terink, R., Balvers, M. G. J., Bongers, C. C. W. G., Eijsvogels, T. M. H., Witkamp, R. F., Mensink, M., Hopman, M. T. E., & Gunnewiek, J. M. T. K. (2019) · The journal of nutrition health & aging · doi:10.1007/s12603-019-1205-y · Cited by 3
A Non-invasive Heart Rate Estimation Approach from Photoplethysmography
Islam, M., Biswas, T., Saad, A. M., Haque, C. A., & Yusuf, M. S. U. (2019) · Algorithms for intelligent systems · doi:10.1007/978-981-13-7564-4_33 · Cited by 3
Costa, M. J., Cruz, L., Simão, A., & Barbosa, T. M. (2019) · Journal of Human Kinetics · doi:10.2478/hukin-2018-0099 · Cited by 3
Spitznagel, A. S., dos Santos, D. S., Branco, K. R., Schiwe, D., de Oliveira, V. D. S. L., & Heinzmann‐Filho, J. P. (2019) · Scientia Medica · doi:10.15448/1980-6108.2019.4.34286 · Cited by 3
“Tal fato poderia explicar, pelo menos em parte, a estimativa adequada dessa equação, já que houve um predomínio de homens também no estudo de Tanaka et al. 2001.”
BackgroundBosio, A., Borchini, M., Pecci, C., et al. (2020) · Minerva Cardioangiologica · doi:10.23736/s0026-4725.20.05172-5 · Cited by 3
Exercise intensity during walking football game
Ninomiya, Y., Miyashita, T., Miyachi, M., Matsuda, K., & Takahashi, K. (2020) · 体力科學 · doi:10.7600/jspfsm.69.335 · Cited by 3
Electrophysiological adaptations to endurance and strength training
Karavirta, L. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-817728-0.00027-9 · Cited by 4
McCallister, E., & Flowers, D. W. (2020) · Internet Journal of Allied Health Sciences and Practice · doi:10.46743/1540-580x/2020.1931 · Cited by 3
Liu, S., Wang, X., Wu, Z., & He, Y. (2020) · International Conference on Cyberworlds (CW) · doi:10.1109/cw49994.2020.00042 · Cited by 3
“It is defined [20] as follows: We have made alterations to the guidelines suggested by American College of Sports Medicine for intensity setting [21] to achieve a more robust system.”
MethodA Robust Beat-to-Beat Artifact Detection Algorithm for Pulse Wave
Hu, Q., Deng, X., Liu, X., Wang, A., & Yang, C. (2020) · Mathematical Problems in Engineering · doi:10.1155/2020/5691805 · Cited by 3
Leitão, A. E., Vieira, M. D. C. S., Gomes, D. A., Boing, L., Pelegrini, A., Luiz, E., & Guimarães, A. C. D. A. (2021) · Complementary Therapies in Clinical Practice · doi:10.1016/j.ctcp.2020.101301 · Cited by 3
Garcés, L. G., Cano, S. L., Meliá, Y. C., Sánchez‐López, M. I., Marqués-Azcona, D., Lisón, J. F., & Peyró-Gregori, L. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-046216 · Cited by 4
Functional Speed Reserve as a Proxy for the Anaerobic Speed Reserve Using the Critical Speed Concept
Kramer, M., Thomas, E. J., & van Aswegen, M. (2021) · Annals of Applied Sport Science · doi:10.52547/aassjournal.928 · Cited by 3
What Mathematical Models Are Accurate for Prescribing Aerobic Exercise in Women with Fibromyalgia?
Villafaina, S., Printes, C. B., Parraça, J. A., Brauner, F. D. O., & Tomás-Carús, P. (2022) · Biology · doi:10.3390/biology11050704 · Cited by 4
“7 × age” is a more reliable option to predict HRmax [19,20].”
BackgroundMethodInfluentialPeres, F. P., Levada‐Pires, A. C., Vieira, M., Hatanaka, E., Cury‐Boaventura, M. F., Folador, A., Gorjão, R., Hirabara, S. M., Silva, P. R. S., Deuster, P. A., et al. (2023) · Frontiers in Sports and Active Living · doi:10.3389/fspor.2022.1011240 · Cited by 3
“7* age)] (30); (iii) volitional fatigue; (iv) more than 18 on subjective Borg’s scale (31); and (v) subjective indications such as sweating, hyperpnea, and facial flushing (32).”
BackgroundValidation of Maximal Heart Rate Regression Equations
Roy, S. (2009) · D-Scholarship@Pitt (University of Pittsburgh) · Cited by 3
Mood, Anxiety, Rpe, and %Mhr after a Single 15, 30 and 60 Minute Session of Vinyasa Yoga
McGuirk, M. G. (2012) · Cited by 3
Ma, G.-D., Chen, W., Tsai, S.-M., Kan, N., Chiu, L.-L., & Chien, K. (2017) · Perceptual and Motor Skills · doi:10.1177/0031512516689403 · Cited by 3
“The maximum heart rate (MHR) targeted for land-based exercises was calculated by the formula developed by Tanaka, Monahan, and Seals (2001): MHRland¼ 208 – (0.7 age).”
MethodInfluentialShah, M., Bailey, S., Gloeckner, A., Kreutzer, A., ADAMS-HUET, B. A., Cheek, D. J., & Mitchell, J. B. (2019) · Journal of Investigative Medicine · doi:10.1136/jim-2019-000992 · Cited by 3
Ergonomic Analysis of Work Related Musculoskeletal Disorder Risk to Plasterers Working in Ireland
Nugent, R. (2012) · Arrow@dit (Dublin Institute of Technology) · doi:10.13025/17005 · Cited by 3
Age-related physiological strain of male order-pickers in deep cold
Kluth, K., Penzkofer, M., & Strasser, H. (2010) · Advances in human factors and ergonomics series · doi:10.1201/ebk1439835074-c20 · Cited by 3
Chronotropism during exercise. Methodological and conceptual inconsistencies
Mendes, M. (2021) · Revista Portuguesa de Cardiologia (English Edition) · doi:10.1016/j.repce.2021.10.028 · Cited by 3
Plá, R. M. (2021) · UPM Digital Archive (Technical University of Madrid) · doi:10.20868/upm.thesis.66956 · Cited by 3
IDENTIFYING OPIOID WITHDRAWAL USING WEARABLE BIOSENSORS
Kulman, E. (2020) · doi:10.23860/thesis-kulman-ethan-2020 · Cited by 3
Having Fun, Working Out: Adaptive and Engaging Video Games for Exercise
Burt, C. (2014) · doi:10.22215/etd/2014-10214 · Cited by 3
“the prediction equations proposed by Karvonen and Tanaka.”
BackgroundInfluentialAbstracts of the 8th International Conference on Speech Motor Control Groningen, August 2022
Sstp, R. (2022) · Stem- Spraak- en Taalpathologie · doi:10.21827/32.8310/2022-115 · Cited by 2
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
- Semantic Scholar
- 857d95626adc70db6e64da8c5fa9060489db0262
- 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
- bronze
- doi.org
- Licence
- 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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