An accurate VO2max nonexercise regression model for 18–65-year-old adults
Deutscher übersetzter Titel: | Ein genaues Regressionsmodell zur Bestimmung der VO2max ohne körperliche Belastung für 18 bis 65-jährige Erwachsene |
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Autor: | Bradshaw, Danielle I.; George, James D.; Hyde, Annette; LaMonte, Michael J.; Vehrs, Pat R.; Hager, Ronald L.; Yanowitz, Frank G. |
Erschienen in: | Research quarterly for exercise and sport |
Veröffentlicht: | 76 (2005), 4, S. 426–432, Lit. |
Format: | Literatur (SPOLIT) |
Publikationstyp: | Zeitschriftenartikel |
Medienart: | Gedruckte Ressource Elektronische Ressource (online) |
Sprache: | Englisch |
ISSN: | 0270-1367, 2168-3824 |
DOI: | 10.1080/02701367.2005.10599315 |
Schlagworte: | |
Online Zugang: | |
Erfassungsnummer: | PU201001000158 |
Quelle: | BISp |
Abstract des Autors
The purpose of this study was to develop a regression equation to predict maximal oxygen uptake (VO2max) based on nonexercise (N-EX) data. All participants (N = 100), ages 18–65 years, successfully completed a maximal graded exercise test (GXT) to assess VO2max (M = 39.96 mL·kg-¹·min-¹, SD = 9.54). The N-EX data collected just before the maximal GXT included the participant’s age; gender; body mass index (BMI); perceived functional ability (PFA) to walk, jog, or run given distances; and current physical activity (PA-R) level. Multiple linear regression generated the following N-EX prediction equation (R = .93, SEE = 3.45 mL·kg-¹·min-¹, % SEE = 8.62): VO2max (mL·kg-¹·min-¹) = 48.0730 + (6.1779 x gender; women = 0, men = 1) – (0.2463 x age) – (0.6186 x BMI) + (0.7115 x PFA) + (0.6709 x PA-R). Cross validation using PRESS (predicted residual sum of squares) statistics revealed minimal shrinkage (Rp = .91 and SEEp = 3.63 mL·kg-¹·min-¹); thus, this model should yield acceptable accuracy when applied to an independent sample of adults (ages 18–-65 years) with a similar cardiorespiratory fitness level. Based on standardized b-weights, the PFA variable (0.41) was the most effective at predicting VO2max followed by age (-0.34), gender (0.33), BMI (-0.27), and PA-R (0.16). This study provides a N-EX regression model that yields relatively accurate results and is a convenient way to predict VO2max in adult men and women. Verf.-Referat