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 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 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.