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. 2022 Apr 27;9:852936. doi: 10.3389/fnut.2022.852936

Table 6.

Results of a binary logistic regression analysis predicting consumption of plant-based meat alternatives (N = 814).

B a SE B OR B b SE B OR
Diet
Vegetarian 2.008 0.414 7.445*** 0.248 0.565 1.282
Flexitarian 0.459 0.386 1.582 0.189 0.442 1.208
Regular meat-eater 0.456 0.363 1.582 0.372 0.405 1.450
High meat-eater (reference)
Gender
Male −0.668 0.288 0.513* −0.336 0.335 0.715
Female (reference)
Age (years, continuous) −0.029 0.010 0.971** −0.037 0.012 0.963**
Education
Low −0.797 0.367 0.451* −0.108 0.433 0.897
Middle −0.278 0.298 0.757 0.405 0.348 1.499
High (reference)
Attitudinal and behavioral variables (factors, continuous) 0.376 0.163 1.457*
Infrequent cooking/prepared ingredients
Frequent cooking/fresh ingredients −0.227 0.176 0.797
Meat attachment −1.191 0.204 0.304***
Food innovativeness 0.475 0.168 1.608**
Dietary guidelines 0.416 0.194 1.515*
Sustainable food choice motives −0.406 0.193 0.666*
Organic food stores 0.562 0.155 1.753***
Nagelkerke R square (%) 19.0 42.0

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.