Table 4 Effects of adjusting for perceived environmental mediators on associations between women’s income level and likelihood of being a frequent fast food consumer in logistic regression models (n = 1362)
VariablesModel 1, income onlyModel 2, income + environmental mediators
OR (95% CI)p ValueOR (95%CI)p Value
Income
    Less than $500 per week1.001.00
    $500–$999 per week0.84 (0.61 to 1.15)0.270.93 (0.66 to 1.30)0.66
    $1000 or more per week0.51 (0.33 to 0.80)<0.010.69 (0.42 to 1.12)0.14
    Don’t know/don’t want to answer/missing0.76 (0.56 to 1.05)0.100.86 (0.61 to 1.22)0.39
Marital status
    Married/de facto1.001.00
    Separated/divorced/widowed/never married1.56 (1.20 to 2.01)<0.011.43 (1.08 to 1.90)0.01
Availability variables
    Low quality fresh produce available locally1.00
    High quality fresh produce available locally0.78 (0.58 to 1.05)0.11
    Limited healthy options to eat out locally1.00
    Plenty of healthy option to eat out locally0.70 (0.52 to 0.94)0.02
Accessibility variables
    Non-fast food eatery within walking distance1.00
    Non-fast food eatery not within walking distance1.23 (0.91 to 1.80)0.16
    Café within walking distance1.00
    Café not within walking distance1.18 (0.83 to 1.66)0.36
Affordability variables
    Consider cost of food a little/not at all1.00
    Consider cost of food very much/a lot1.16 (0.81 to 1.18)0.49
    Consider specials a little/not at all1.00
    Consider specials very much/a lot0.86 (0.63 to 1.18)0.35
    Can afford healthy foods1.00
    Can not afford healthy foods1.36 (0.81 to 2.27)0.25
    Ran out of food1.00
    Have not run out of food0.94 (0.61 to 1.44)0.77