Table 4.

LGM with predictors.

	Psy act visits			Total injury visits
	Chi-Square = 84.954, df = 46, p = 0.000 RMSEA = 0.035			Chi-Square = 41.958, df = 50, p = 0.784 RMSEA = 0.000
	CFI = 0.035			CFI = 1.000
	b	Se	p-value	b	Se	p-value
Intercept	0.807	0.086	0.000	1.175	0.059	0.000
Income	0.002	0.004	0.678	-0.005	0.003	0.057
ADHD	0.004	0.001	0.001	-0.001	0.001	0.282
Sex	-0.077	0.021	0.000	0.012	0.022	0.606
CP	0.135	0.045	0.003	0.064	0.029	0.028
Sex x CP	-0.071	0.054	0.189	-0.030	0.037	0.425
Slope	-0.009	0.018	0.611	-0.019	0.016	0.246
Income	-0.001	0.001	0.439	0.000	0.001	0.526
ADHD	0.000	0.000	0.602	0.000	0.000	0.075
Sex	0.013	0.005	0.007	-0.007	0.006	0.248
CP	-0.012	0.009	0.201	-0.014	0.008	0.096
Sex x CP	0.016	0.012	0.181	0.006	0.010	0.573
	Regular visits chi-square = 64.622, df = 46, p = 0.036 RMSEA = 0.024			Total visits chi-square = 61.335, df = 47, p = 0.078 RMSEA = 0.021
	CFI = 0.958			CFI = 0.990
	b	Se	p -value	b	Se	p -value
Intercept	1.077	0.037	0.000	1.355	0.195	0.000
Income	0.003	0.002	0.089	-0.001	0.009	0.888
ADHD	0.000	0.001	0.909	0.009	0.003	0.002
Sex	-0.024	0.017	0.154	-0.094	0.084	0.261
CP	-0.021	0.020	0.285	0.359	0.094	0.000
Sex x CP	0.020	0.026	0.434	-0.293	0.124	0.018
Slope	0.001	0.008	0.902	-0.089	0.042	0.033
Income	-0.001	0.000	0.216	0.001	0.002	0.765
ADHD	0.000	0.000	0.584	0.001	0.001	0.042
Sex	0.008	0.004	0.054	0.054	0.018	0.003
CP	0.008	0.004	0.063	-0.034	0.021	0.107
Sex x CP	-0.011	0.006	0.049	-0.001	0.028	0.964