Development of non-exercise based VO2max prediction equation in college-aged participants in India.
J Sports Med Phys Fitness
; 52(5): 465-73, 2012 Oct.
Article
em En
| MEDLINE
| ID: mdl-22976732
ABSTRACT
AIM:
The purpose of this study was to develop a linear regression model to predict treadmill VO2max scores using non-exercise data.METHODS:
In this cross sectional study, one hundred twenty college-aged participants (60 male, 60 female, mean age 22.02±2.29 years) voluntarily participated and successfully completed a maximal graded exercise test (GXT) on a motorized treadmill to assess VO2max (mean±SD; 2.05 L·min-¹±1.03 L·min-¹). The maximal treadmill GXT required participants to exercise to volitional fatigue.RESULTS:
Relevant non-exercise data included a mean (±SD) perceived functional ability (PFA) score, and physical activity rating (PA-R) score, body surface area (BSA) of 14.6±3.9, 2.97±1..75, 1.66±0.17, respectively. Multiple linear regression generated the following regression equation (R=0.899, R2=0.805, adjusted R2=0.799, SEE=0.426 L·min-¹) VO2max (L/min)=-1.541+1.096 (gender, 1=male, 0=female) +.081 (PFA) +1.084(BSA). Each predictor variable was statistically significant (P<0.05) with beta weights for gender, PFA, BSA, PA-R, and equal to (-0.518), (0.255), (0.228), (0.092), percent body fat (-0.003), respectively. The accuracy of the model was evaluated by conducting a cross-validation analysis (N.=18).CONCLUSION:
This study provides a N-EX regression prediction model that yields results and also provide a convenient and efficient tool that estimate VO2max in healthy college-aged participants in India.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Consumo de Oxigênio
Tipo de estudo:
Observational_studies
/
Prevalence_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Adult
/
Female
/
Humans
/
Male
País/Região como assunto:
Asia
Idioma:
En
Revista:
J Sports Med Phys Fitness
Ano de publicação:
2012
Tipo de documento:
Article
País de afiliação:
Índia