Table 2 |
|||||||
| The multivariate linear regression models for predicting cardiorespiratory fitness (VO2max) in men and women | |||||||
| Reference category | Men | Women | |||||
| N = 222; R2 = 0.453 | N = 181; R2 = 0.404 | ||||||
| Variable | Regression coefficient β | Standard error | Pa | Regression coefficient β | Standard error | Pa | |
| Constant | 84.10 | 5.08 | <0.001 | 80.41 | 5.97 | <0.001 | |
| BMI | 1 kg/m2 increment | 0.09 | 0.28 | 0.742 | −0.94 | 0.28 | 0.001 |
| WC | 1 cm increment | −0.36 | 0.11 | 0.001 | −0.13 | 0.12 | 0.29 |
| Age | 1 year increment | −0.30 | 0.05 | <0.001 | −0.19 | 0.07 | 0.006 |
| Smoking | not smoking | 1.23 | 1.19 | 0.301 | 0.09 | 1.50 | 0.952 |
| Hours of training per week | 1 hour/week increment | −2.18 | 0.91 | 0.017 | −2.10 | 0.56 | <0.001 |
| Weekly caloric expenditure for physical activity | 1 kcal/week increment | 0.008 | 0.002 | <0.001 | 0.011 | 0.002 | <0.001 |
Abbreviations: BMI = Body Mass Index, WC = waist circumference.
p values are for association of the variables with VO2max.
R2 - a measure of goodness-of-fit in linear regression.
The statistical analysis performed: multivariate linear regression models for predicting VO2max in men and women.
Dagan et al. Nutrition Journal 2013 12:12 doi:10.1186/1475-2891-12-12