Table A.2.

Linear and logistic* regression analyses of the relation between a SD increase in IQ in youth and five mental health outcomes by age 50, with adjustment for potential confounding or mediating variables, across Model 4–Model 6 of the complete case analysis.

	Model 4			Model 5			Model 6
+ Income			+ Education			+ Occupation status
	95% C.I.	P value		95% C.I.	P value		95% C.I.	P value
	Beta			Beta			Beta
CES-depression	− 0.03	− 0.08 to 0.02	.181	− 0.09	− 0.14 to − 0.04	.001	− 0.11	− 0.15 to − 0.06	<.001
Sleep difficulty	− 0.05	− 0.08 to − 0.02	.003	− 0.06	− 0.10 to − 0.03	.001	− 0.09	− 0.12 to − 0.05	<.001
	OR			OR			OR
SF-12 mental health (dichotomous)	0.96	0.86 to 1.08	.509	0.84	0.75 to 0.95	.004	0.83	0.74 to 0.92	.001
Diagnosis of depression	1.31	1.16 to 1.48	<.001	1.16	1.02 to 1.31	.023	1.11	0.99 to 1.25	.087

Note.

The effect of IQ on mental health, CES-depression, and sleep difficulty was analyzed using linear regression analysis, Beta = regression coefficient.

The effect of IQ on depression and emotional/nervous disorders was analyzed using logistic regression, Beta = odds ratio.

Sample size: mental health (3985), depression (3981), sleep difficulty (3992).

Observations (Yes): depression 4004(564), emotional/nervous disorder 4010 (330).

Model 4: IQ, Sex, Childhood age, Adult age, Childhood SES, Income.

Model 5: IQ, Sex, Childhood age, Adult age, Childhood SES, Education.

Model 6: IQ, Sex, Childhood age, Adult age, Childhood SES, Occupation status.