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Table 3 Logistic regression models predicting admission into specialty treatment.

From: Treatment at the front end of the criminal justice continuum: the association between arrest and admission into specialty substance abuse treatment

 

MODEL 1 OR (95% CI)

MODEL 2 OR (95% CI)

MODEL 3 OR (95% CI)

Sex

   

   Female (ref)

1.00

1.00

1.00

   Male

1.39* (1.01–1.93)

1.10 (0.77–1.57)

0.98 (0.67–1.43)

Age

   

   18–25 (ref)

1.00

1.00

1.00

   26-up

0.49***(0.36–0.66)

0.42***(0.31–0.58)

0.40***(0.29–0.55)

Race

   

   Non White (ref)

1.00

1.00

1.00

   White

0.92 (0.68–1.26)

1.12 (0.81–1.56)

1.18 (0.84–1.64)

Marital Status

   

   Not Married (ref)

1.00

1.00

1.00

   Married

0.36*** (0.25–0.52)

0.41***(0.28–0.62)

0.48***(0.32–0.73)

Serious mental illness

   

   No (ref)

1.00

1.00

1.00

   Yes

2.81***(1.97–4.02)

2.70***(1.83–3.99)

2.74***(1.79–4.19)

SUD

   

   No (ref)

1.00

1.00

1.00

   Yes

12.34***(8.90–17.10)

822***(5.79–11.67)

7.48***(5.14–10.87)

Arrest in last 12 mon.

   

   No (ref)

-------------------

1.00

-------------------

   Yes

 

8.74***(5.80–13.18)

 

CJ Status

   

   No CJ Status (ref)

  

1.00

   Arrest Only

-----------------

 

7.19*** (3.94–13.10)

   Supervise Only

  

15.26***(8.27–28.13)

   Arrest & Supervise

  

22.62***(13.47–37.99)

  1. Note: CJ = criminal justice, SUD = substance use disorder. 'Ref' refers to the reference category.
  2. ** p < .01, *** p < .001. All p-values are from Wald tests.