Table 2:

Multilevel Models of T1 Income-to-needs Ratio Relating To Cortical Gray, Cortical White, and Subcortical Gray Volumes

Dependent Variable → Cortical Gray Volume	Std. B	SE	t	p	Semi-Partial R2
Predictors
Intercept	0.0039	0.0286	0.14	0.89
Age	−0.4210	0.0117	−36.09	<0.001	0.372
Age squared	−0.0548	0.0103	−5.31	<0.001	0.010
Female Sex	−0.0577	0.0315	−1.83	0.07	0.015
Intracranial volume	0.7647	0.0317	24.12	<0.001	0.717
T1 Income-to-needs ratio	0.1229	0.0295	4.16	<0.001*	0.072
T1 income-to-needs ratio X Age	0.0193	0.0098	1.97	0.05	0.002
Dependent Variable → Cortical White Matter Volume	Std. B	SE	t	P	Semi-Partial R2
Predictors
Intercept	−0.0084	0.0321	−0.26	0.79
Age	0.2066	0.0063	32.69	<0.001	0.114
Age squared	−0.0695	0.0045	−15.39	<0.001	0.014
Female Sex	0.0048	0.0352	0.14	0.89	0.000
Intracranial volume	0.8550	0.0353	24.20	<0.001	0.740
T1 Income-to-needs ratio	0.0224	0.0331	0.68	0.50	0.002
T1 income-to-needs ratio X Age	0.0078	0.0057	1.3	0.17	0.000
Dependent Variable → Subcortical Gray Matter Volume	Std. B	SE	t	p	Semi-Partial R2
Predictors
Intercept	−0.0009	0.0398	−0.02	0.98
Age	0.4176	0.0165	25.34	<0.001	0.231
Age squared	−0.0300	0.0137	−2.19	0.03	0.002
Female Sex	−0.0760	0.0403	−1.88	0.06	0.013
Intracranial volume	0.6046	0.0412	14.69	<0.001	0.496
T1 Income-to-needs ratio	0.1645	0.0410	4.01	<0.001*	0.067
T1 income-to-needs ratio X Age	0.0363	0.0142	2.55	0.01*	0.003

Note: The multilevel models included both random intercept and random slope components in addition to fixed effects.

^*Survives FDR correction across both main effects and interactions with age (6 total tests), also indicated by light gray shading.