# Table 2 Logistic regression coefficient estimates and standard errors in parentheses for the final adjustment model including smoking status, fractionally transformed BMI1 and age2 and interactions identified as significant

Male Female
BMI(p1) 24.260 20.328
(1.938) (5.186)
BMI(p2) -49.284 -18.490
(4.307) (3.766)
Age(q1) 0.077
(0.001)
Age(q1)*BMI(p1)   0.244
(0.165)
Age(q1)*BMI(p2)   -0.115
(0.125)
Age(q1) | Ever Smoked = 0   0.082
(0.002)
Age(q1) | Ever Smoked = 1   0.075
(0.002)
Ever Smoked 0.581 0.832
(0.050) (0.084)
Constant -4.366 -4.712
(0.054) (0.075)
Log Likelihood -9503.563 -10179.990
1. 1 For the male sample, $BMI\left(p1\right)={\left(\frac{BMI}{10}\right)}^{-2}$- 0.137, $BMI\left(p2\right)={\left(\frac{BMI}{10}\right)}^{-2}*\mathsf{\text{ln}}\left(\frac{BMI}{10}\right)$ - 0.376 and for the female sample, $BMI\left(p1\right)={\left(\frac{BMI}{10}\right)}^{-2}$- 0.142, $BMI\left(p2\right)={\left(\frac{BMI}{10}\right)}^{-1}$- 0.376.
2. 2 For the male sample, $\mathsf{\text{Age}}\left(q1\right)={\left(\frac{\mathsf{\text{Age}}}{10}\right)}^{2}$- 20.692 and for the female sample, $\mathsf{\text{Age}}\left(q1\right)={\left(\frac{\mathsf{\text{Age}}}{10}\right)}^{2}$- 22.216.