Table 3. OLS Regression Predicting Wave 2 Overall TV Viewing.
| Variable | Bivariate Models | Multi-variable Step 1 | Multi-variable Step 2 | Multi-variable Step 3 | Multi-variable Step 4 |
|---|---|---|---|---|---|
| Independent Variables | |||||
| Overall TV viewing (wave 1) | .49*** | .52*** | .46*** | .40*** | .38*** |
| Cancer Fatalism | .13** | .13** | .11** | .07 | .06 |
| National TV news viewing | .11* | - | - | - | .03 |
| Local TV news viewing | .16*** | - | - | - | .09+ |
| Demographic Variables | |||||
| Age | .10* | - | .07 | .07 | .04 |
| Black (vs. White) | .08+ | - | .08+ | .09* | .08+ |
| Hispanic (vs. White) | -.01 | - | -.01 | -.02 | -.03 |
| Other race (vs. White) | -.05 | - | -.04 | -.04 | -.04 |
| Education | -.11* | - | -.04 | -.03 | -.02 |
| Income | -.12** | - | -.08 | -.05 | -.06 |
| Employed (vs. not) | -.09* | - | -.04 | -.02 | -.01 |
| Health and Behavior Variables | |||||
| Good health (vs. excellent) | .07 | - | - | .01 | .01 |
| Fair health (vs. excellent) | .17*** | - | - | .11* | .11* |
| Poor health (vs. excellent) | .13** | - | - | .09* | .09* |
| BMI | .19*** | - | - | .15*** | .15** |
| Current smoking (vs. not) | .12** | - | - | .11** | .11** |
|
| |||||
| R2 (%) | - | 29.7*** | 32.7*** | 38.0*** | 38.9*** |
| Change in R2 (%) | - | 29.7*** | 3.0* | 5.3*** | 0.8+ |
| N | 425 | 425 | 425 | 425 | 425 |
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 TV viewing, controlling only for time 1 TV viewing. Gender, household size, religious attendance, marital status, cancer history, binge drinking, newspaper reading, radio news listening, and internet news reading did not predict time 2 TV viewing in models controlling for time 1 TV viewing (p > .10 for each variable) and were thus excluded from further consideration. Multivariable Step 1 includes cancer fatalism and time 1 TV viewing as predictors, a test of the overall TV viewing selection hypothesis. Multivariable Step 2 adds all demographic and media exposure (none; excluding TV news) that were significant predictors of TV viewing (time 2) at p < 0.10. Multivariable Step 3 adds all health and behavior variables that were significant predictors of TV viewing (time 2) at p < 0.10. Multivariable Step 4 adds TV news viewing variables in a comprehensive multivariable model.