Table 6.

Regression of growth factors on the covariates in the conditional 3-class model (N = 975).

	Intercept		Linear parameter		Quadratic parameter
Predictors	Estimate	SE	Estimate	SE	Estimate	SE
High
Age	0.158∗∗	0.058	0.016∗	0.007	-0.001	0.000
Sex	-3.954∗∗	1.290	0.633∗∗	0.229	-0.020∗	0.009
PTA	0.337∗∗	0.103	-0.012	0.009	0.000	0.000
Hospital days	-0.190	0.115	0.023∗∗	0.008	-0.001	0.000
Delayed
Age	-0.096∗∗∗	0.024	0.007	0.006	0.000	0.000
Sex	0.678	1.423	-0.179	0.299	0.007	0.011
PTA	-0.164∗	0.080	0.042∗∗∗	0.011	-0.000	0.000
Hospital days	0.034	0.023	-0.010∗	0.004	0.000	0.000
Low
Age	0.020∗∗	0.008	0.000	0.001	0.000	0.000
Sex	-1.271∗∗∗	0.351	0.122∗	0.050	-0.004∗	0.002
PTA	0.074∗	0.034	-0.003	0.005	0.000	0.000
Hospital days	-0.007	0.014	-0.001	0.002	0.000	0.000

PTA, post-traumatic amnesia; Hospital days = number of days from injury to first assessment. For sex, female = 1 and male = 2. ^∗∗∗p < 0.001, ^∗∗p < 0.01, ^∗p < 0.05.