Table 4B.

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

		Use same vs. use more			Use same vs. use less
		Est	OR [95% CI]	p	Est	OR [95% CI]	p
Phenotypic model
	bp	.385	1.47 [1.34, 1.61]	<.001	.098	1.10 [1.00, 1.21]	.045
Quasi-causal model
	bA	.457	1.58 [1.11, 2.26]	.012	.047	1.05 [.74, 1.48]	.790
	bp	.147	1.16 [.98, 1.37]	.080	.073	1.08 [.90, 1.28]	.412
Quasi-causal model (with covariates)
	bA	.173	1.19 [.76, 1.85]	.441	.087	1.09 [.71, 1.67]	.685
	bp	.175	1.19 [1.01, 1.41]	.041	.073	1.08 [.91, 1.28]	.408
	Age	−.207	.81 [.75,.88]	<.001	.019	1.02 [.95, 1.09]	.575
	Sex (F)	.364	1.44 [1.11, 1.87]	.006	.054	1.08 [.91, 1.28]	.654
RMSEA [90%CI]		.027 [0,.047]			.022 [0,.043]

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.