Table 3.

Four-class growth mixture analysis: mixed effects linear regression of baseline covariates and longitudinal P-GBI development within trajectory class

Parameter	Estimate	SE	p-value
Random intercept (initial P-GBI) regressed on covariates
Intercept	12.996	1.359	0.000
Any bipolar diagnosis	1.738	0.714	0.015
Adjustment disorder diagnosis	-2.548	1.266	0.044
Any therapy	-0.127	0.293	0.666
CDRS-R total score	0.077	0.025	0.002
Random intercept residual variance	12.744	2.326	0.000
Random linear slope (linear decline) regressed on covariates
Intercept	-5.641	1.519	0.000
Any bipolar diagnosis	-1.729	0.686	0.012
Adjustment disorder diagnosis	-0.252	1.016	0.804
Any therapy	-0.647	0.230	0.005
CDRS-R total score	-0.017	0.021	0.426
Random slope residual variance	0.597	0.189	0.002
Random intercept and slope covariance	-2.579	0.602	0.000
Quadratic slope (deceleration or acceleration of change) regressed on covariates
Intercept	1.536	0.381	0.000
Any bipolar diagnosis	0.325	0.163	0.045
Adjustment disorder diagnosis	0.332	0.210	0.114
Any therapy	0.149	0.054	0.006
CDRS-R total score	0.001	0.005	0.837
Residual variance	Fixed at 0	–	–

SE = standard error; P-GBI = Parent General Behavior Inventory–10-item Mania Form (PGBI-10M); CDRS-R = Children’s Depression Rating Scale–Revised.