Table 2.

Predictive models of pornography use: stepwise logistic regression (n = 1500).

Criterion: Pornography Use. Fitting Indexes: H-L(p-Value) = 0.385; N-R2 = 318; AUC = 0.790 (95%CI: 0.767 to 0.813)
Predictor	Contrast	B	SE	p	OR	95%CI
Sex	Male vs. Female	2.122	0.128	<0.001	8.349	6.503	10.720
Sexual orientation				0.019
	Homosex. vs. Heterosex.	0.221	0.425	0.603	1.247	0.543	2.867
	Ambisex. vs. Heterosex.	0.702	0.307	0.022	2.019	1.107	3.682
	Non-defined vs. Heterosex.	0.738	0.324	0.023	2.092	1.108	3.949
Drugs use/abuse				0.003
	Linear trend	0.413	0.192	0.032	1.511	1.036	2.202
	Quadratic trend	−0.364	0.214	0.088	0.695	0.457	1.056
	Cubic trend	−0.113	0.233	0.627	0.893	0.566	1.410
Brought up in religion				0.064
	Catholic vs. Atheist	0.028	0.131	0.832	1.028	0.796	1.328
	Muslim vs. Atheist	−0.771	0.300	0.010	0.463	0.257	0.833
	Other vs. Atheist	−0.159	0.274	0.562	0.853	0.498	1.460
Sexual interest/Internet behavior	Yes vs. No	0.747	0.139	<0.001	2.112	1.608	2.773
Age (years-old)		0.252	0.053	<0.001	1.287	1.159	1.429

H-L: Hosmer–Lemeshow. N-R²: Nagelkerke’s pseudo-R² coefficient. AUC: Area under the ROC curve. B: Logistic parameter. SE: Standard error. OR: odds ratio.