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. Author manuscript; available in PMC: 2016 Sep 1.
Published in final edited form as: Appetite. 2015 May 22;92:200–206. doi: 10.1016/j.appet.2015.05.023

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.