Generalized structural equation modeling: Symptom heterogeneity in attention-deficit/hyperactivity disorder leading to poor treatment efficacy

Table 3 Results of the multiple logistic regression model in pathway to the remission of hyperactivity/impulsivity of attention-deficit/hyperactivity disorder

	Coef	SE	z	P value	95%CI
Remission H/I
ADHD-H/I B	-0.132	0.030	-4.39	< 0.001	(-0.191)-(-0.073)
Aggression_B	-0.102	0.035	-2.92	0.004	(-0.170)-(-0.033)
Anx/dep B	0.075	0.046	1.64	0.101	(-0.015)-0.164
Social pro. B	-0.177	0.076	-2.34	0.019	(-0.325)-(-0.029)
Thought pro. B	0.204	0.070	2.92	0.004	0.067-0.340
Satisfaction	0.579	0.133	4.34	< 0.001	0.317-0.840
_cons	1.743	0.518	3.36	0.001	0.727-2.759

Pseudo-R² statistics assessed the predictive strength of the logistic regression model. The deviance and McFadden’s pseudo R² were D (224) = 242.862 (P = 0.184), pseudo R² = 0.2386, respectively, which indicated that the model fit was good. Remission H/I: Remission status of hyperactivity/impulsivity of attention-deficit/hyperactivity disorder; ADHD-H/I B: Attention-deficit/hyperactivity disorder baseline hyperactivity/impulsivity of attention-deficit/hyperactivity disorder; Aggression_B: Baseline aggressive behaviors; Anx/dep B: Baseline anxiety/depression; Social pro. B: Baseline social problems; Thought pro. B: Baseline thought problem; CI: Confidence interval; Coef: Coefficient; SE: Standard error.