Table 7.

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

	Ba	SE B	OR	Bb	SE B	OR
Diet
Vegetarian	−0.512	0.325	0.599	−0.324	0.407	0.723
Flexitarian	−0.395	0.224	0.673	−0.278	0.248	0.757
Regular meat-eater	−0.259	0.208	0.772	−0.094	0.227	0.910
High meat-eater (reference)
Gender
Male	−0.117	0.172	0.890	−0.199	0.196	0.820
Female (reference)
Age (years, continuous)	−0.023	0.006	0.978***	−0.008	0.007	0.992
Education
Low	0.196	0.221	1.217	0.075	0.250	1.078
Middle	−0.006	0.216	0.994	−0.068	0.240	0.934
High (reference)
Attitudinal and behavioral variables (factors, continuous)
Infrequent cooking/prepared ingredients				0.950	0.114	2.585***
Frequent cooking/fresh ingredients				0.010	0.101	1.011
Meat attachment				−0.128	0.112	0.880
Food innovativeness				0.019	0.097	1.020
Dietary guidelines				−0.107	0.117	0.898
Sustainable food choice motives				−0.058	0.110	0.944
Organic food stores				0.143	0.106	1.154
Nagelkerke R square (%)	4.0			22.9

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.