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. 2021 May 19;11(5):1461. doi: 10.3390/ani11051461

Table 6.

Logistic regression models for self-biting presence (‘self-abuse’ subcategory) 1.

Independent Variables Unadjusted Odds Ratio and p-Value Adjusted Odds Ratio * 95% CI * p-Value * Positively and Significantly Predicts Self-Biting? *
(Result the Same if Age, Sex and Scanning Level not Controlled for?)
Threat-biting presence vs. absence
(rarely scanned group)
11.00 (0.022) 9.02 0.86–94.56 0.034 Yes
(Unadjusted relationship is also positive and significant)
Threat-biting presence vs. absence
(moderately scanned group)
3.00 (0.167) 2.76 0.29–25.84 0.188 No
(Unadjusted relationship is also positive and non-significant)
Threat-biting presence vs. absence
(frequently scanned group)
1.00 (0.495) 0.89 0.31–2.53 0.587 No
(Unadjusted relationship is also non-significant)
Self-hitting presence vs. absence 2 6.48 (0.003) 4.04 0.96–16.98 0.029 Yes
(Unadjusted relationship is also positive and significant)
Self-injurious behaviour presence vs. absence 2 7.19 (<0.001) 5.43 2.18–13.49 <0.001 Yes
(Unadjusted relationship is also positive and significant)

* Adjusted for sex, age, and scanning level. 1 One-tailed p-values are reported here. Significant p-values for adjusted positive relationships are bolded for emphasis.2 Interaction not tested due to insufficient observations.