Table 4.
Study 2: Regression results for perceived consequences of fast food
| Unstandardized Regression Coefficients (Standard Errors) | ||
|---|---|---|
|
| ||
| Positive perceptions | Negative perceptions | |
|
| ||
| (Constant) | 2.799 (.241)** | 2.925 (.285)** |
| Fast-food experience | .229 (.028)** | −.018 (.033) |
| TV viewinga | .101 (.012)** | −.016 (.014) |
| Fast-food experience × TV viewing | −.002 (.009) | .020 (.011)* |
| Gender (1 = Male/0) | −.008 (.065) | .266 (.076)** |
| Year of birth | .015 (.035) | .021 (.042) |
| Ethnicity (1 = White/0) | −.169 (.128) | .178 (.151) |
| Ethnicity (1 = Black/0) | .101 (.143) | −.094 (.168) |
| Ethnicity (1 = Hispanic/0) | −.059 (.128) | .129 (.151) |
| Ethnicity (1 = Asian/0) | −.093 (.167) | .159 (.197) |
| Ethnicity (1 = Native American/0) | .155 (.229) | −.234 (.270) |
| Ethnicity (1 = Pacific-Islander/0) | −.439 (.426) | .633 (.502) |
| Ethnicity (1 = Other/0) | −.184 (.300) | .187 (.354) |
| Subjective SES | .012 (.016) | −.009 (.019) |
| # Fast-food restaurants/1,000 | −.072 (.195) | .321 (.223) |
| Fast-food expenditures per capita | .000 (.000) | .000 (.000) |
| Urbanization index | 2.655 (2.147) | −3.055 (2.533) |
|
| ||
| Adjusted R2 | .176 | .015 |
p ≤ .01,
p ≤ .05.