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. 2015 Mar;60(3):106–116. doi: 10.1177/070674371506000305

Table 5.

Multinomial logistic regression for NCRMD provincial characteristics (n = 1575)

Predictor Ontario, compared with Quebeca British Columbia, compared with Quebeca Ontario, compared with British Columbiaa



OR (95% CI) OR (95% CI) OR (95% CI)
Female 1.29 (0.92 to 1.80) 1.04 (0.65 to 1.68) 1.23 (0.75 to 2.03)
Aboriginal status 3.15 (1.50 to 6.59)b 5.20 (2.30 to 11.76)c 0.61 (0.29 to 1.25)
Age at the index offence 0.99 (0.96 to 1.01) 0.99 (0.95 to 1.03) 1.00 (0.96 to 1.04)
Diagnosis (nonexclusive)
  Psychosis 1.16 (0.71 to 1.92) 1.60 (0.75 to 3.40) 0.73 (0.33 to 1.61)
  Mood 0.46 (0.26 to 0.80)b 0.56 (0.24 to 1.31) 0.81 (0.33 to 2.00)
  SUD 1.21 (0.93 to 1.58) 1.87 (1.32 to 2.66)c 0.65 (0.44 to 0.94)d
  PD 1.14 (0.79 to 1.66) 0.85 (0.49 to 1.47) 1.35 (0.76 to 2.40)
Presence of psychiatric history 1.05 (0.81 to 1.36) 1.18 (0.82 to 1.68) 0.89 (0.61 to 1.31)
Age at first offence against person 1.02 (0.99 to 1.05) 1.02 (0.98 to 1.06) 1.01 (0.96 to 1.05)
Presence of criminal history
  NCRMD 0.40 (0.25 to 0.64)c 0.33 (0.15 to 0.73)b 1.19 (0.51 to 2.77)
  Criminal 0.91 (0.65 to 1.28) 0.81 (0.52 to 1.27) 1.13 (0.69 to 1.85)
  Against person 2.01 (1.34 to 3.03)b 1.07 (0.59 to 1.93) 1.88 (1.00 to 3.54)
Index—most severe offence (others as reference)
  Homicides or attempted 2.08 (1.25 to 3.41)b 1.89 (0.91 to 3.95) 1.10 (0.52 to 2.30)
  Assault and sexual assaults 0.88 (0.61 to 1.27) 1.41 (0.82 to 2.42) 0.62 (0.36 to 1.10)
  Other crimes against persono 0.74 (0.51 to 1.06) 0.97 (0.56 to 1.70) 0.76 (0.42 to 1.35)
  Property crimes 0.41 (0.25 to 0.70)c 0.70 (0.35 to 1.41) 0.59 (0.27 to 1.27)

−2 Log Likelihood = 2560.22; χ2 = 169.78; df = 32, P < 0.001; Nagelkerke pseudo-R2 = 12.2%; proportional chance criteria = 47.8%; model accuracy rate = 61.5%

a

Reference category;

b

P < 0.01;

c

P < 0.001;

d

P < 0.05

NCRMD = not criminally responosible on account of mental disorder