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PREDICTION OF AEROBIC CAPACITY FROM AN INDIVIDUALIZED PROTOCOL: A New Regression Model For Prediction Of Maximal Aerobic Capacity - Couverture souple

Akalan, Cengiz

 
9783639173017: PREDICTION OF AEROBIC CAPACITY FROM AN INDIVIDUALIZED PROTOCOL: A New Regression Model For Prediction Of Maximal Aerobic Capacity
Couverture souple
ISBN 10 : 3639173015 ISBN 13 : 9783639173017
Editeur : VDM Verlag, 2009

Synopsis

The purpose of exercise testing in most non-clinical settings is to assess aerobic power of healthy adults rather than to diagnose coronary heart disease. However, measuring maximum oxygen consumption requires sophisticated equipment and trained staff.Direct measurement of VO2 max is not practical for fitness testing in health and fitness clubs or for testing large populations.Of the numerous predictive equations reported in the literature, most do not present cross-validation results, many were developed on age/sex specific populations, and several provide none or high values of the SEE measure. Thus, a submaximal cycle ergometer test is needed that 1) is safe, 2) valid across gender and wide ranges of age and fitness level, 3) can be administered quickly and easily, and 4) has a low standard error of the estimate for accuracy. Therefore, the primary purpose of this study is to develop an accurate multiple regression equation to predict VO2 max with a wide applicability and a low prediction error in men (< 40yrs) and women (< 50yrs) using an individualized submaximal cycle ergometer protocol.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

The purpose of exercise testing in most non-clinical settings is to assess aerobic power of healthy adults rather than to diagnose coronary heart disease. However, measuring maximum oxygen consumption requires sophisticated equipment and trained staff.Direct measurement of VO2 max is not practical for fitness testing in health and fitness clubs or for testing large populations.Of the numerous predictive equations reported in the literature, most do not present cross-validation results, many were developed on age/sex specific populations, and several provide none or high values of the SEE measure. Thus, a submaximal cycle ergometer test is needed that 1) is safe, 2) valid across gender and wide ranges of age and fitness level, 3) can be administered quickly and easily, and 4) has a low standard error of the estimate for accuracy. Therefore, the primary purpose of this study is to develop an accurate multiple regression equation to predict VO2 max with a wide applicability and a low prediction error in men (< 40yrs) and women (< 50yrs) using an individualized submaximal cycle ergometer protocol.

Biographie de l'auteur

CENG¿Z AKALAN has a doctorate in exercise science and statistics from The University of New Mexico, USA. He is an Assistant Professor and Researcher at the Ankara University in Turkey. His research interests are in athletic performance and training, energy metabolism, fitness programming, and exercise and clinical population.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag
Date d'édition
2009
Langue
anglais
ISBN 10 
3639173015
ISBN 13 
9783639173017
Reliure
Broché
Nombre de pages
132
Coordonnées du fabricant
non disponible
Personne responsable
non disponible