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Autor/inn/enWebb, Carrie; Vehrs, Pat R.; George, James D.; Hager, Ronald
TitelEstimating V0[subscript 2]max Using a Personalized Step Test
QuelleIn: Measurement in Physical Education and Exercise Science, 18 (2014) 3, S.184-197 (14 Seiten)
PDF als Volltext Verfügbarkeit 
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1091-367X
DOI10.1080/1091367X.2014.912985
SchlagwörterTests; Physical Fitness; College Students; Multiple Regression Analysis; Measurement Techniques; Gender Differences; Body Composition; Metabolism; Ability; Models; Accuracy; Predictor Variables; Validity
AbstractThe purpose of this study was to develop a step test with a personalized step rate and step height to predict cardiorespiratory fitness in 80 college-aged males and females using the self-reported perceived functional ability scale and data collected during the step test. Multiple linear regression analysis yielded a model (R = 0.90, SEE = 3.43 mL·kg[superscript-1]·min[superscript]-1) that included gender, body mass, perceived functional ability, step rate, and recovery heart rate. Based on the standardized ß-weights, gender explained the largest proportion of variance in VO[subscript 2]max values followed by perceived functional ability. The cross validation predicted residual sum of squares statistics show minimal shrinkage (R[subscript PRESS] = 0.88, SEE[subscript PRESS] = 3.57 mL·kg[superscript-1]·min[superscript-1) in the accuracy of the regression model. This study provides a model to predict VO[subscript 2]max from non-exercise data and data collected during an individualized multistage step test that is accurate, time-efficient, and easy to administer. (As Provided).
AnmerkungenRoutledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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