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. Author manuscript; available in PMC: 2014 Sep 15.
Published in final edited form as: J Abnorm Psychol. 2014 May;123(2):463–469. doi: 10.1037/a0036436

Table 2.

Poisson Regression Models for the Prediction of Self-Injury 6 Months’ Postbaseline

Predictors B (SE) Wald χ2 Odds ratio (95% confidence interval)
Prediction of self-cutting
Cutting–Pre .07 (.01) 30.67*** 1.07 (1.04–1.10)
Implicit cutting 1.87 (.62) 9.08** 6.50 (1.92–21.97)
Explicit cutting .22 (.09) 6.23** 1.25 (1.05–1.48)
IAT Cutting .39 (.33) 1.39 1.48 (.77–2.83)
Self-prediction −.13 (.12) 1.10 .88 (.70–1.15)
Number of methods .54 (.17) 10.42*** 1.71 (1.24–2.37)
ERS Score .00 (.01) .07 1.00 (.98–1.02)
Therapy .44 (.31) 1.97 1.56 (.84–2.88)
Omnibus χ2(8) = 113.49, p < .001

Prediction of noncutting severe NSSI behaviors
Other NSSI–Pre .05 (.01) 35.95*** 1.05 (1.03–1.06)
Implicit cutting 1.31 (.46) 7.95** 3.69 (1.49–9.16)
Explicit cutting .21 (.06) 13.96*** 1.10 (1.05–1.37)
IAT cutting −.05 (.21) .05 .96 (.63–1.45)
Self-prediction −.04 (.09) .20 .96 (.80–1.15)
Number of methods .64 (.11) 34.76*** 1.89 (1.53–2.33)
ERS; Score −.01 (.01) 2.20 .99 (.98–1.00)
Therapy .55 (.18) 9.28** 1.73 (1.22–2.46)
Omnibus χ2(8) = 249.79, p < .001

Note. Bolded items represent significant effects.

**

p < .01.

***

p < .001.