Table 8.

Results of a binary logistic regression analysis predicting fast food consumption (N = 814).

	B a	SE B	OR	B b	SE B	OR
Diet
Vegetarian	−0.889	0.345	0.411**	−0.961	0.401	0.383*
Flexitarian	−0.397	0.236	0.672	−0.374	0.249	0.688
Regular meat-eater	0.000	0.219	1.000	0.068	0.227	1.071
High meat-eater (reference)
Gender
Male	0.206	0.182	1.229	0.175	0.197	1.191
Female (reference)
Age (years, continuous)	−0.050	0.007	0.951***	−0.044	0.007	0.957***
Education
Low	−0.342	0.230	0.710	−0.263	0.246	0.769
Middle	−0.131	0.233	0.877	−0.076	0.244	0.927
High (reference)
Attitudinal and behavioral variables (factors, continuous)
Infrequent cooking/prepared ingredients				0.356	0.099	1.427***
Frequent cooking/fresh ingredients				−0.111	0.101	0.895
Meat attachment				−0.081	0.113	0.922
Food innovativeness				0.137	0.097	1.146
Dietary guidelines				−0.082	0.115	0.921
Sustainable food choice motives				−0.111	0.110	0.895
Organic food stores				0.277	0.107	1.319**
Nagelkerke R square (%)	18.7			23.1

Significant predictors are displayed in bold font.

B, Beta coefficient; SE, Standard Error; OR, Odds Ratio.

^a Adjusted for gender, age, and education.

^b Adjusted for gender, age, education, attitudinal and behavioral variables.

^* p < 0.05;

^** p < 0.01;

^***p < 0.001.