Table 4. OLS Regression Predicting Wave 2 Local TV Viewing.

Variable	Bivariate Models	Multivariable Step 1	Multivariable Step 2	Multivariable Step 3
Independent Variables
Local TV viewing (wave 1)	.75***	.75***	.70***	.68***
Cancer Fatalism	-.03	-.03	-.02	-.01
Overall TV news viewing	-.02	-	-	-.04
National TV news viewing	.12**	-	-	.10*
Demographic Variables
Age	.12***	-	.11**	.08*
Health and Behavior Variables
Cancer history (self)	.06+	-	.03	.03
Media Use Variables
Radio news listening	-.06+	-	-.06+	-.06+
R2 (%)	-	56.0***	57.6***	58.2***
Change in R2 (%)	-	56.0***	1.6**	0.6*
N	443	443	443	443

Notes:

⁺denotes p < .10;

^*p < .05;

^**p < .01;

^***p < .001. Cells present standardized regression coefficients. The column labeled “Bivariate Models” shows the relationship between each variable and time 2 local TV news viewing, controlling only for time 1 local TV news viewing. Race/ethnicity, gender, education, income, household size, marital and employment status, religious attendance, health status, BMI, current smoking, binge drinking, newspaper reading, and internet news reading did not predict time 2 local TV news viewing in models controlling for time 1 local TV news viewing (p > .10 for each variable) and were thus excluded from further consideration. Multivariable Step 1 includes cancer fatalism and time 1 local TV news viewing as predictors, a test of the local TV news selection hypothesis. Multivariable Step 2 adds all demographic, health and behavior, and media exposure variables (excluding TV viewing variables) that were significant predictors of local TV news viewing (time 2) at p < 0.10. Multivariable Step 3 adds national TV news and overall TV viewing variables in a comprehensive multivariable model.