Supertraining
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[Supertraining] Re: Max heart rate carruthersjam Fri Jul 11 15:15:04 2008
--- In [EMAIL PROTECTED], "chaney21200" <[EMAIL PROTECTED]> wrote: > > I had a client ask a strange question the other day. His question > was "what is the max heart rate that a person can maintain and sustain > will working cardio conditioning until the body will shut down." My > educated guess was 220. But know that the body will voluntarily slow > down with the fatigue and lactic acid overcoming the person. Has there > been any studies or a definite answers for this type of performance. > > Thank you for you time on reading my question. *** The below abstract and link may be helpful: http://faculty.css.edu/tboone2/asep/Robergs.doc THE SURPRISING HISTORY OF THE "HRmax=220-age" EQUATION. Robert A. Robergs, Roberto Landwehr. JEPonline. 2002;5(2):1-10. The estimation of maximal heart rate (HRmax) has been a feature of exercise physiology and related applied sciences since the late 1930's. The estimation of HRmax has been largely based on the formula; HRmax=220- age. This equation is often presented in textbooks without explanation or citation to original research. In addition, the formula and related concepts are included in most certification exams within sports medicine, exercise physiology, and fitness. Despite the acceptance of this formula, research spanning more than two decades reveals the large error inherent in the estimation of HRmax (Sxy=7-11 b/min). Ironically, inquiry into the history of this formula reveals that it was not developed from original research, but resulted from observation based on data from approximately 11 references consisting of published research or unpublished scientific compilations. ***Consequently, the formula HRmax=220-age has no scientific merit for use in exercise physiology and related fields. A brief review of alternate HRmax prediction formula reveals that the majority of age- based univariate prediction equations also have large prediction errors (>10 b/min). Clearly, more research of HRmax needs to be done using a multivariate model, and equations may need to be developed that are population (fitness, health status, age, exercise mode) specific. ================ Based on this review of research and application of HRmax prediction, the following recommendations can be made; 1. Currently, there is no acceptable method to estimate HRmax. 2. If HRmax needs to be estimated, then population specific formulae should be used. However, the most accurate general equation is that of Inbar (17) (Table 3); HRmax=205.8-0.685(age). Nevertheless, the error (Sxy=6.4 b/min) is still unacceptably large. 3. An acceptable prediction error for HRmax for application to estimation of VO2max is <b3 b/min. Thus, for a person with a HRmax of 200 b/min, error equals b1.5%. If this precision is not possible, then there is no justification for using methods of VO2max estimation that rely on HRmax prediction formulae. 4. Additional research needs to be performed that develops multivariate regression equations that improve the accuracy of HRmax prediction for specific populations, and modes of exercise. 5. The use of HRmax is most prevalent in the fitness industry, and the people who work in these facilities mainly have a terminal undergraduate degree in exercise science or related fields. These students/graduates need to be better educated in statistics to recognize and understand the concept of prediction error, and the practical consequences of relying on an equation with a large standard error of estimate (Sxy). 6. Textbooks in exercise physiology and exercise prescription should contain content that is more critical of the HRmax=220-age or similar formulae. Authors need to stress the mode-specificity of HRmax, provide alternate, research substantiated formula, and express all content of items 1-5, above. Similarly, academic coverage of HRmax needs to explain how this error detracts from using HRmax estimation in many field tests of physical fitness and in exercise prescription. ======================= Jamie Carruthers Wakefield, UK
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