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dc.creatorAragón Vargas, Luis Fernando
dc.creatorSchork, Anthony M.
dc.creatorEdington, Dee
dc.date.accessioned2014-01-08T00:02:43Z
dc.date.available2014-01-08T00:02:43Z
dc.date.issued2014-01-07
dc.identifier.urihttps://hdl.handle.net/10669/8948
dc.descriptionIn October of 1992 I submitted an abstract to the American College of Sports Medicine, co-authored with Dr. Schork and Dr. Edington from the University of Michigan, to present our study at the 1993 Annual Meeting. A few weeks later I received Volume 24, issue 10 of Medicine and Science in Sports and Exercise, where Whaley and colleagues had published a similar paper. Discouraged by the bad timing, I never tried to publish my own paper. Several years later, other similar papers have been published, arguing for a correction to the conventional 220-age formula for maximum heart rate. I realized I should have tried to publish my paper back in 1993! I have dug out the original poster presentation materials, scanned them, and prepared this document for the sake of teaching my students (who often quote Tanaka et al. and Gellish et al.) the importance of prompt publication of their work.es
dc.description.abstractThe purpose of this study was to develop a regression model to predict maximum heart rate (HRmax) from basic sociodemographic variables and to compare it with the 220-age rule of thumb. Data were obtained from 635 adults of all ages, gender, and physical activity levels, rigorously tested for maximum aerobic capacity. HRmax was found to be significantly correlated (p<.05) to age, tobacco use in the past, current tobacco use, and self-reported physical activity. There was no evidence of a difference in HRmax between males and females (p=.997). Several significant (p<.00005) linear regression models involving these variables were developed, but their ability to explain the variation in HRmax was only slightly better than a model that relied on age alone. Based on R2 values, the age model was able to account for 44.9% of the variation in HRmax, compared to 48% when using the most complicated model. The 220-age rule of thumb also gave an r2 =.449 (44.9%), but the average estimate was biased (-8 beats per minute [b * min~l]). Individual estimates were highly inaccurate: 50.5% of the predicted values were off by 10 b * min-1 or more, compared to 27.6% with our simplest model based on age alone. Furthermore, both the 220-age rule and our regression models were very poor predictors when applied to ten-year age subgroups. It was concluded that in spite of a significant correlation between HRmax and other variables, regression models based on these variables are highly inaccurate in the prediction of individual HRmax values. Therefore, the practice of relying on them for individualized exercise prescription and as a criterion for graded exercise test termination is not warranted.es
dc.language.isoen_USes
dc.rightsAtribución-NoComercial-CompartirIgual 3.0 Costa Rica*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/cr/*
dc.subjectExercise Physiologyes
dc.subjectMaximum heart ratees
dc.subjectECGes
dc.subjectMaximum stress testes
dc.subjectFisiología del ejercicioes
dc.subjectCardiologíaes
dc.subjectFrecuencia cardíaca máximaes
dc.subjectElectrocardiografíaes
dc.subjectPrueba de esfuerzo máximoes
dc.titleEvaluation of Conventional and New Maximum Heart Rate Prediction Models for Individualses
dc.typepóster de congreso
dc.description.procedenceUCR::Vicerrectoría de Docencia::Ciencias Sociales::Facultad de Educación::Escuela de Educación Físicaes


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