Table 3.

Hierarchical Regression for Prospectively Observed Association Between Mood Episode History and Clinical and Functional Outcomes^a

Dependent Variables	1. Wave 1 Assessment	2. Demographic Controlsb	3a. Mood Episodes	3b. Manic and Depressive Episodes
Clinical Outcomes	R2	ΔR2	ΔR2	ΔR2
Psychiatric Hospitalizationc	-	.02**	.01**	.02**
Suicide Attemptc	-	.05**	.00	-
Suicidal Ideationc	-	.03**	.01**	.01*
Number of Comorbidities	.15**	.04*	.02*	.02*
Number Medical Conditions	.002	.02*	.00	-
Functional Outcomes
Disabilityc	-	.04**	.01*	.01*
Unemploymentc	-	.04**	.02**	.02**
Role Physical	.23**	.02**	.01**	.01*
Role Emotional	.17**	.02**	.01**	.01**
Social Role	.11**	.02**	.02**	.02**

^*p < .05,

^**p < .01

^aModels were conducted hierarchically, with wave 1 assessment entered on the first step and demographic controls on the second step. In the first set of models, total mood episodes were entered on the third step. In a second set of models, manic and depressive episodes were entered together on the third step.

^bBlock of demographic & clinical controls includes: age, sex, education, race, marital status

^cdenotes logistic regression, where R² represents the Nagelkerke R². In logistic regression models, Wave 1 assessment value was not included in the first step because dependent variables were defined as new onset over the follow up.