TABLE 3.

Logistic Regression Analysis for the Prediction of Stability of an ADHD diagnosis From Child-Level, Family-Level, and Combined Model Predictors

Predictors	B	SE	P	OR	95% Confidence Interval
					Lower Bound	Upper Bound
Child-level factors
Gender (girls)	–0.672	0.918	.464	0.511	0.084	3.086
Current age	–0.012	0.014	.414	0.988	0.961	1.017
Nonverbal cognitive composite	–0.052	0.025	.034*	0.949	0.904	0.996
Elevated externalizing behaviors	2.21	0.711	.002**	9.094	2.257	36.639
Elevated internalizing behaviors	1.53	0.674	.023*	4.606	1.230	17.250
Age at initial diagnosis	0.027	0.031	.392	1.027	0.966	1.092
Race (white)	0.652	0.681	.338	1.920	0.505	7.292
Presence of comorbid diagnoses	−1.35	0.812	.097	0.260	0.053	1.276
Family-level factors
Gendera	–0.622	0.888	.484	0.537	0.094	3.060
Current agea	0.013	0.014	.360	1.013	0.986	1.040
Parent history of psychopathology	2.04	0.952	.032*	7.683	0.413	0.773
Income-to-needs ratio	–0.572	0.160	<.001***	0.565	0.079	1.805
Parental education (up to high school)	–0.974	0.798	.222	0.377	1.190	49.611
Percent living in poverty	–0.021	0.048	.658	0.979	0.892	1.075
Combined model, including child-level and family-level factors
Gendera	–1.17	1.325	.378	0.311	0.023	4.179
Current agea	0.018	0.017	.305	1.018	0.984	1.053
Nonverbal cognitive composite	–0.053	0.034	.121	0.948	0.886	1.014
Elevated externalizing behaviors	2.33	1.041	.025*	10.297	1.339	79.192
Elevated internalizing behaviors	2.33	1.157	.044*	10.319	1.069	99.621
Presence of comorbid diagnoses	–1.18	1.077	.275	0.309	0.037	2.551
Parental history of psychopathology	3.55	1.460	.015*	34.643	1.980	606.272
Income-to-needs ratio	–0.749	0.216	.001**	0.473	0.309	0.723

^*P < .05, **P < .01, ***P < .001.

^aGender and current age were forced into the model.