Table 2. OLS Regression Predicting Wave 2 Fatalistic Beliefs about Cancer Prevention.
| Variable | Bivariate Models | Multivariable Step 1 | Multivariable Step 2 | Multivariable Step 3 |
|---|---|---|---|---|
| Independent Variables | ||||
| Cancer fatalism (wave 1) | .57*** | .56*** | .52*** | .50*** |
| Overall TV viewing | .13** | .13** | .11** | .10* |
| National TV news viewing | -.02 | - | - | -.07 |
| Local TV news viewing | .10* | - | - | .13** |
| Demographic Variables | ||||
| Age | -.07+ | - | -.13** | -.14** |
| Black (vs. White) | .09* | - | .07 | .06 |
| Hispanic (vs. White) | .01 | - | -.03 | -.04 |
| Other race (vs. White) | .01 | - | .03 | .03 |
| Education | -.12** | - | -.11* | -10* |
| Income | -.10* | - | -.05 | -.05 |
|
| ||||
| R2 (%) | - | 34.1*** | 37.1*** | 38.1*** |
| Change in R2 (%) | - | 34.1*** | 3.0** | 1.0* |
| N | 447 | 447 | 447 | 447 |
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 fatalism, controlling only for time 1 fatalism. Gender, household size, marital and employment status, religious attendance, health status, cancer history, BMI, current smoking, binge drinking, newspaper reading, radio news listening, and internet news reading did not predict time 2 fatalism in models controlling for time 1 fatalism (p > .10 for each variable) and were thus excluded from further consideration. Multivariable Step 1 includes overall TV viewing and time 1 fatalism as predictors, a test of the original cultivation hypothesis. Multivariable Step 2 adds all demographic, health behavior (none) and media use variables (none, excluding TV news) that were significant predictors of cancer fatalism (time 2) at p < 0.10. Multivariable Step 3 adds TV news viewing variables in a comprehensive multivariable model.