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. 2020 Oct 30;12(11):3337. doi: 10.3390/nu12113337

Table 3.

Multiple logistic regression model for consumption preferences.

Predictor Variable Odds Ratio CI 95% Coef. Standard Error Statistical p
Pair No. 1
Group (intervention/control) 1.084 (0.69–1.69) 0.080 0.22 0.355 0.722
Nationality 0.978 (0.43–2.17) −0.021 0.40 −0.052 0.958
Sex 0.285 (0.19–0.42) −1.252 0.20 −6.015 0.000
Pair No. 2
Group (intervention/control) 1.003 (0.64–1.52) 0.003 0.222 0.017 0.986
Nationality 0.383 (0.27–0.94) −0.959 0.440 −2.176 0.0295
Sex 0.457 (0.30–0.68) −0.781 0.204 −3.822 0.0001
Pair No. 3
Group (intervention/control) 0.9512 (0.61–1.48) −0.050 0.2262 −0.221 0.824
Nationality 1.2738 (0.55–2.90) 0.242 0.4200 0.576 0.564
Sex 0.6803 (0.45–1.02) −0.385 0.2069 −1.862 0.062
Pair No. 4
Group (intervention/control) 1.349 (0.88–2,06) 0.299 0.217 1.376 0.168
Nationality 0.513 (0.22–1.14) −0.667 0.411 −1.623 0.104
Sex 1.399 (0.94–2.07) 0.336 0.199 1.683 0.092