Table 6

Hierarchical Logistic Regression Analysis for Demographic, Criminogenic, Historical Clinical, and Current Treatment Variables Predicting Restoration

PredictorB (SE)WaldpOR (95% CI)
Demographic
    Age at discharge0.12 (0.07)3.17.081.12 (0.99–1.28)
    Minority status0.74 (1.65)0.20.652.10 (0.08–53.24)
    Education−0.24 (0.87)0.08.780.79 (0.14–4.34)
Criminogenic
    Prior incarcerations−0.22 (0.25)0.80.370.80 (0.49–1.31)
    Offense class−1.05 (0.68)2.36.120.35 (0.09–1.34)
    Maximum exposure−0.01 (0.04)0.08.780.99 (0.92–1.07)
Historical clinical
    Primary Axis I−0.98 (0.94)1.10.290.37 (0.06–2.35)
    Primary Axis II−0.49 (0.66)0.54.460.61 (0.17–2.26)
    Prior hospitalizations0.28 (0.15)3.39.071.32 (0.98–1.77)
    Prior incompetency2.71 (1.27)4.55.0315.02 (1.25–181.20)*
    IQ class−2.16 (1.26)2.95.090.12 (0.01–1.36)
Current treatment
    Days until medicated0.05 (0.02)4.80.031.05 (1.01–1.09)*
    Attendance2.94 (1.35)4.73.0318.81 (1.34–264.92)*
    Participation−1.77 (1.23)2.09.150.17 (0.02–1.88)
    Seclusion/restraint−0.91 (1.73)0.27.600.41 (0.01–12.02)
R2 = 0.45*
  • Values listed are for final model (Block 4); OR, odds ratio; CI, confidence interval; offense class, current controlling (most serious) offense.

  • * Significant at p < .05.