. 2017 Jun 15;7:3589. doi: 10.1038/s41598-017-03945-w

Table 6.

Multiple logistic regression analysis for the androgen prediction of PCOS including age, body mass index, free androgen index and serum testosterone.

Parameters (units)	Adjusted
Parameters (units)	Odds Ratio	95% CI	P-value
Age (years)	0.973	0.913–1.038	0.410
Body mass index (kg/m²)	1.182	1.092–1.279	<0.001
FAI	1.303	1.011–1.678	0.041
Serum Testosterone (nmol/L)	1.305	0.522–3.261	0.569

salT – salivary testosterone. FAI – Free Androgen Index. Logistic regression taking into account age and body mass index (BMI) showing that in this model salivary testosterone (salT) is significantly more predictive of PCOS than the free androgen index (FAI) or serum T (Tables 5 and 6, respectively), and that FAI was more predictive than serum T (C).