Table 2.

Correlation and Analysis of Variance Results to Determine Covariates

	Age		Race		Hispanic		Relationship status		Education		Income		Recruitment method
			df = 3958		df = 2987		df = 2987		df = 3985		df = 5959		df = 2984
Outcome variable	r	p	F	p	F	p	F	p	F	p	F	p	F	p
Health behaviors
Anxiety symptoms	−0.14	<0.001	3.18	0.023	0.66	0.515	2.00	0.136	1.92	0.125	4.05	0.001	0.71	0.490
Depression symptoms	−0.12	0.001	2.05	0.105	0.32	0.724	3.33	0.036	4.81	0.002	5.85	<0.001	1.61	0.201
Hazardous drinking	0.03	0.483	1.38	0.248	0.70	0.499	1.04	0.356	1.37	0.251	1.53	0.177	2.38	0.093
Physical health symptoms	−0.14	<0.001	3.60	0.013	2.68	0.069	1.52	0.220	7.05	<0.001	4.64	<0.001	0.11	0.899
Identity uncertainty	−0.19	<0.001	1.14	0.332	0.72	0.485	4.74	0.009	1.62	0.182	4.64	<0.001	1.12	0.326
Alcohol variables			df = 3527		df = 2540		df = 2540		df = 3538		df = 5526		df = 2540
Alcohol frequency	0.17	<0.001	1.21	0.307	0.67	0.514	3.55	0.029	4.75	0.003	2.29	0.045	0.14	0.869
Drinks per day	−0.08	0.099	1.86	0.135	3.14	0.044	0.51	0.598	2.75	0.042	0.57	0.726	0.74	0.476
Alcohol consequences	−0.06	0.184	1.20	0.308	0.33	0.716	1.80	0.166	0.65	0.582	1.36	0.239	2.63	0.073

Bold p values denote significant correlations/ANOVAs (p < 0.05). Correlations between age and outcome variables were conducted. ANOVA analyses were conducted to examine differences between outcome variables and race, Hispanic origin, relationship status, education, income, and recruitment method. Demographic variables significantly related to the outcome variable of interest (if applicable) were included in ANCOVA analyses.

ANCOVA, analysis of covariance; ANOVA, analysis of variance.