Table 3A.

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

		Do not use vs. use more			Do not use vs. use the same			Do not use vs. use less
		Est	OR [95% CI]	p	Est	OR [95% CI]	p	Est	OR [95% CI]	p
Phenotypic model
	bp	.314	1.37 [1.24, 1.51]	<.001	−.010	.99 [.93, 1.06]	.762	.076	1.08 [.98, 1.19]	.134
Quasi-causal model
	bA	.461	1.59 [1.17, 2.16]	.003	.121	1.13 [.90, 1.42]	.300	−.064	.94 [.67, 1.31]	.704
	bC	.461	1.59 [1.17, 2.16]	.003	.121	1.13 [.90, 1.42]	.300	−.064	.94 [.67, 1.31]	.704
	bp	.107	1.11 [.99, 1.25]	.067	−.065	.94 [.86, 1.02]	.141	.106	1.11 [.95, 1.30]	.171
Quasi-causal model (with covariates)
	bA	.142	1.15 [.74, 1.80]	.534	.128	1.14 [.82, 1.58]	.443	−.106	.90 [.56, 1.45]	.661
	bC	.142	1.15 [.74, 1.80]	.534	.128	1.14 [.82, 1.58]	.443	−.106	.90 [.56, 1.45]	.661
	bp	.116	1.12 [.99, 1.27]	.062	−.066	.94 [.86, 1.02]	.148	.115	1.12 [.96, 1.31]	.149
	Age	−.230	.79 [.73,.86]	<.001	−.050	.95 [.90, 1.0]	.081	.007	1.01 [.93, 1.08]	.855
	Sex (F)	.253	1.29 [.98, 1.68]	.065	−.132	.88 [.73, 1.06]	.166	−.085	.92 [.72, 1.16]	.481
RMSEA [90%CI]		.019 [0,.041]			.017 [0,.040]			.012 [0,.038]

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.