Table 3.

Linear and logistic regression analyses of the relation between a SD higher increase in IQ in youth and five mental health outcomes at age 50, with adjustment for potential confounding or mediating variables, across Model 1–Model 3 of the complete case analysis.

	Model 1			Model 2			Model 3
Childhood age & sex			+ Childhood SES			+ Adult age & adult SES
	95% C.I.	P value		95% C.I.	P value		95% C.I.	P value
	Beta			Beta			Beta
CES-depression	− 0.16	− 0.19 to − 0.12	<.001	− 0.16	− 0.20 to − 0.11	<.001	0.01	− 0.05 to 0.05	.853
Sleep difficulty	− 0.11	− 0.13 to − 0.08	<.001	− 0.10	− 0.14 to − 0.07	<.001	− 0.03	− 0.07 to 0.003	.073
	OR			OR			OR
SF-12 mental health (dichotomous)	0.78	0.72 to 0.85	<.001	0.78	0.70 to 0.86	<.001	0.98	0.87 to 1.10	.704
Diagnosis of depression	1.11	1.01 to 1.22	.024	1.05	0.94 to 1.18	.356	1.32	1.16 to 1.51	<.001

Note. The effect of IQ on SF-12 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.

Sample size: SF-12 mental (health) (3985) depression (3981), sleep difficulty (3992).

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

Model 1: IQ, Sex, Childhood age.

Model 2: IQ, Sex, Childhood age + Childhood SES.

Model 3: IQ, Sex, Childhood age, Adult age, Childhood SES + Adult SES.