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. 2007 Jun 22;34(1):193–199. doi: 10.1093/schbul/sbm069

Table 4.

Estimates of Hierarchical Binary Logistic Regression Predicting Psychosis Based on the NCS and BPMS

Variable NCS, OR (95% CI) BPMS, OR (95% CI)
Age 0.98 (0.95–1.01) 1.00 (0.98–1.01)
Sex 0.87 (0.43–1.75) 0.61* (0.37–0.99)
Education 1.18 (0.83–1.68) 1.31* (1.03–1.66)
Employment 0.57 (0.28-1.14) 0.52* (0.28–0.96)
Living arrangements 0.72 (0.25–2.10) 0.68 (0.41–1.12)
Income 0.89 (0.64–1.25) 0.49** (0.32–0.76)
Ethnicity 0.52 (0.26–1.04) 1.03 (0.40–2.64)
Urbanicity 1.91 (0.90–4.05) 2.65** (1.35–5.19)
Alcohol 0.93 (0.37–2.32) 0.86 (0.49–1.50)
Drugs 1.18 (0.35–3.90) 0.95 (0.36–2.54)
Depression 7.14** (3.55–14.37) 4.70** (2.68–8.27)
No traumas
    1 trauma 1.62 (0.69–3.75) 1.70 (0.86–3.33)
    2 traumas 3.37* (1.21–9.33) 4.31** (2.10–8.87)
    3 traumas 7.42* (2.34–23.47) 18.01** (8.91–36.40)
    4 traumas 7.71* (1.22–48.53) 7.91** (2.61–23.91)
    5 traumas 30.16** (7.23–125.7) 192.97** (50.58–736.18)

Note: Abbreviations are explained in the first footnote to Table 1. OR, odds ratios; CI, confidence interval.

*P < .05; **P < .01.