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 |