Table 3.

Logistic regression model predicting incarceration over the course of three-year follow-up

Variable	OR	95% CI	p-value
Age (years)	0.96	0.91 – 1.02	0.15
Gender (reference: female)	0.98	0.37 – 2.59	0.97
Race/Ethnicity (reference: white)
Hispanic	1.67	0.61 – 4.59	0.32
African American	0.81	0.20 – 3.22	0.76
Other	0.08	0.01 – 1.30	0.08
Psychotic Disorder (reference: mood disorder)	0.97	0.31 – 3.09	0.96
Prior Incarceration (reference: none)	3.26	1.38 – 7.71	0.007
Homeless (reference: none)	2.21	0.99 – 4.93	0.06
Substance Abuse Treatment Scale	0.60	0.45 – 0.79	<.001
Employment (reference: none)	0.77	0.32 – 1.89	0.57
Social contact with non-user (reference: none)	0.19	0.08 – 0.43	<.001

For initial model without employment or social contact: N = 170, −2 Log Likelihood = 172.704

For final model with employment and social contact included: N = 170, −2 Log Likelihood = 154.709 Change in model fit: Χ² = 17.995, df = 2, p < .001