Table 3.

Logistic Regression Models for Earlier Age at Onset of Psychosis (AOP)

Variables	Bivariate			Model A Multiple logistic regression model			Model B Regression model after stepwise backward elimination			Model C Controlling for known risk factors for AOP			Model D Controlling for individual-level residential instability
	OR	95% CI	P	OR	95% CI	P	OR	95% CI	P	OR	95% CI	P	OR	95% CI	P
F1 - General SES	0.968	0.895–1.049	0.429	1.008	0.908–1.119	0.879
F2 - Race/ethnicity/unemployment	1.020	0.904–1.151	0.745	1.031	0.886–1.200	0.691
F3 - Residential instability	1.760	1.085–2.856	0.022	1.797	0.994–3.246	0.052	1.760	1.085–2.856	0.022	2.026	1.117–3.676	0.020	1.917	1.040–3.535	0.037
F4 - Low household value	1.462	0.983–2.175	0.061	1.168	0.721–1.892	0.529
NDS	0.988	0.947–1.031	0.583	0.982	0.936–1.029	0.438
Age at first cannabis use	0.941	0.786–1.127	0.509							0.957	0.780–1.174	0.673	0.981	0.797–1.209	0.860
Male gender	2.114	0.891–5.018	0.090							1.753	0.562–5.473	0.334	2.252	0.680–7.465	0.184
Family history of psychosis	1.111	0.369–3.346	0.851							0.583	0.164–2.077	0.406	0.572	0.157–2.088	0.398
Individual-level residential instability	1.346	0.830–2.184	0.228										1.587	0.810–3.111	0.178
*Nagelkerke R2				8.8%			6.7%			12.1%			16.2%

Note: OR represents Odds Ratio; CI = Confidence Interval;

^*Nagelkerke’s pseudo R² reflects the model fit