Table 6.
Predicted Probabilities for Differences in Beverage and Food Consumption among Adults in NYC after Menu Labeling Legislation† (n = 435)
Ordered a Caloric Beverage | Ordered a Salad | Ordered Regular Salad Dressing | |
---|---|---|---|
Did Not See Calorie Information (Reference Group) (n = 195) | 0.22 | 0.06 | 0.24 |
Saw Calorie Information But Did Not Use Information (95% CI) (n = 178) | 0.13** | 0.04** | 0.39 |
Saw Calorie Information and Used Information (95% CI) (n = 62) | 0.13 | 0.15** | 0.57* |
*p≤0.10; **p < 0.05; ***p < 0.01;
† Logistic Regression analysis and generated predicted probabilities controlling for age, race, gender, and restaurant type. Standard errors were clustered based on restaurant.