Assessment of the association between non-suicidal self-injury disorder and suicidal behaviour disorder in females with conduct disorder

Table 3 Factors associated with the diagnosis of SBD in a binary logistic regression analysis

	Nagelkerke R²	Percentage of correctly classified subjects	Variable	B	S.E.	Wald	OR	95%CI	p
Model 1	0.309	81.0	STAI-X1	− 0.005	0.027	0.032	0.995	0.944–1.049	0.859
			STAI-X2	−0.003	0.030	0.008	0.997	0.941–1.057	0.927
			CDI	0.076	0.035	4.871	1.079	1.009–1.155	0.027
			SES	−0.001	0.054	0.001	0.999	0.899–1.109	0.982
			GAF	0.019	0.019	2.344	0.971	0.935–1.008	0.126
			NSSID	1.070	0.510	4.401	2.914	1.073–7.917	0.036
Model 2	0.273	79.6	STAI-X1	−0.006	0.026	0.058	0.994	0.944–1.046	0.809
			STAI-X2	−0.006	0.029	0.037	0.994	0.939–1.054	0.848
			CDI	0.089	0.034	6.775	1.093	1.022–1.169	0.009
			SES	−0.011	0.054	0.045	0.989	0.890–1.099	0.832
			GAF	−0.037	0.019	3.807	0.964	0.929–1.000	0.051
			Recent-year’s number of NSSIs	0.002	0.007	0.093	1.002	0.988–1.016	0.761
Model 3	0.275	80.3	STAI-X1	−0.008	0.026	0.099	0.992	0.942–1.044	0.752
			STAI-X2	−0.004	0.029	0.015	0.996	0.941–1.055	0.902
			CDI	0.089	0.034	6.859	1.093	1.023–1.168	0.009
			SES	−0.011	0.054	0.040	0.989	0.890–1.099	0.842
			GAF	−0.035	0.019	3.358	0.965	0.930–1.002	0.067
			Lifetime number of NSSIs	0.001	0.001	0.322	0.570	0.998–1.004	0.570

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