Table 3B.

Unstandardized parameter estimates for phenotypic and biometric models estimating the effects of self-report change in alcohol use on perceived stress.

		Use same vs. use more			Use same vs. use less
		Est	OR [95% CI]	p	Est	OR [95% CI]	p
Phenotypic model
	bp	.373	1.45 [1.32, 1.60]	<.001	.103	1.11 [1.0, 1.22]	.038
Quasi-causal model
	bA	.382	1.47 [1.07, 2.00]	.017	−.188	.83 [.59, 1.17]	.288
	bC	.382	1.47 [1.07, 2.00]	.017	−.188	.83 [.59, 1.17]	.288
	bp	.203	1.23 [1.08, 1.39]	.002	.191	1.21 [1.03, 1.43]	.022
Quasi-causal model (with covariates)
	bA	.078	1.08 [.69, 1.70]	.735	−.244	.78 [.48, 1.28]	.332
	bC	.078	1.08 [.69, 1.70]	.735	−.244	.78 [.48, 1.28]	.332
	bp	.216	1.24 [1.08, 1.43]	.002	.202	1.22 [1.03, 1.45]	.019
	Age	−.180	.84 [.77,.90]	<.001	.056	1.06 [.98, 1.14]	.142
	Sex (F)	.369	1.45 [1.13, 1.85]	.003	.025	1.03 [.82, 1.28]	.825
RMSEA [90%CI]		.018 [0,.041]			.025 [0,.045]

Phenotypic model does not include controls for between-pair confounds, whereas quasi-causal model include controls for between-pair confounds. Perceived stress is square root transformed; age is divided by 10.

OR, odds ratio; b_A, amount of variance in perceived stress attributable to additive genetic influences; b_C, amount of variance in perceived stress attributable to shared environmental influences; b_P, phenotypic association between predictor and outcome; RMSEA, root mean square error of approximation.