Table 5.
Multinomial logistic regression, base outcome: wine consumption not changed during confinement.
| Wine professionals |
Not wine professionals |
|||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Increase consumption of wine during the lockdown |
Decrease consumption of wine during the lockdown |
Increase consumption of wine during the lockdown |
Decrease consumption of wine during the lockdown |
|||||||||
| Coef. | SE | Coef. | SE | Coef. | SE | Coef. | SE | |||||
| Male | 0.313 | 0.992 | −1.597 | 1.359 | 0.252 | 0.850 | 0.605 | 1.117 | ||||
| Age | −0.005 | 0.044 | 0.117 | ** | 0.058 | −0.060 | * | 0.031 | −0.022 | 0.041 | ||
| British resident | 0.336 | 0.349 | 0.489 | 0.479 | 0.493 | 0.323 | 0.050 | 0.428 | ||||
| Have a wine cellar | 0.085 | 0.402 | −1.221 | ** | 0.467 | 0.680 | ** | 0.303 | −0.277 | 0.401 | ||
| Wine consumption frequency | −0.643 | *** | 0.160 | −0.175 | 0.213 | −0.156 | 0.097 | −0.016 | 0.132 | |||
| Anxiety | 0.387 | 0.445 | 1.101 | * | 0.659 | −0.001 | 0.352 | 0.313 | 0.447 | |||
| Anxiety*Male | −0.110 | 0.213 | 0.560 | * | 0.323 | −0.158 | 0.193 | −0.161 | 0.256 | |||
| Anxiety*Age | −0.004 | 0.009 | −0.032 | ** | 0.013 | 0.004 | 0.007 | −0.003 | 0.009 | |||
| Days of confinement | 0.028 | 0.016 | 0.028 | 0.023 | −0.004 | 0.010 | 0.156 | 0.013 | ||||
| Constant | 4.427 | * | 2.480 | −3.577 | 3.476 | 2.928 | * | 1.739 | −0.932 | 2.235 | ||
| Goodness of fit | ||||||||||||
| Obs. | 254 | 296 | ||||||||||
| Log-likelihood | −224.21 | −279.32 | ||||||||||
| Pseudo R2 | 0.115 | 0.065 | ||||||||||
| LR chi square | 58.3 | *** | 38.55 | *** | ||||||||
Note: *=p-value ≤ 0.1; **=p-value ≤ 0.05; ***=p-value ≤ 0.01.