Table 4 Summary of regression models for reported noticing and use of kcal labelling
 | Noticed kcal labels odds ratio (95% CI) | Used kcal labels odds ratio (95% CI) |
---|---|---|
Post-implementation (versus pre-implementation) | 2.25 (1.84 to 2.73) P < 0.001 | 2.15 (1.62 to 2.85)* P < 0.001 |
Age (in years) | 0.99 (0.99 to 0.99) P < 0.001 | 1.00 (1.00 to 1.01) P = 0.504 |
Male (versus female) | 0.71 (0.62 to 0.81) P < 0.001 | 0.53 (0.41 to 0.69) P < 0.001 |
Non-white (versus white) | 0.89 (0.73 to 1.09) P = 0.251 | 0.69 (0.47 to 1.01) P = 0.055 |
Low SEP (versus high SEP) | 0.57 (0.49 to 0.66) P < 0.001 | 0.36 (0.27 to 0.47) P < 0.001 |
Midday (versus evening) | 1.07 (0.87 to 1.32) P = 0.554 | 1.09 (0.76 to 1.55) P = 0.643 |
Weekend (versus weekday) | 1.04 (0.83 to 1.30) P = 0.711 | 0.81 (0.54 to 1.21) P = 0.296 |
Entertainment (versus cafes) | 0.38 (0.11 to 1.38) P = 0.089 | 0.24 (0.05 to 1.07) P = 0.027 |
Fast food (versus cafes) | 1.04 (0.79 to 1.35) P = 0.797 | 0.77 (0.53 to 1.13) P = 0.176 |
Pubs (versus cafes) | 1.81 (1.35 to 2.44) P < 0.001 | 0.90 (0.58 to 1.40) P = 0.631 |
Restaurants (versus cafes) | 1.28 (0.94 to 1.75) P = 0.121 | 0.84 (0.52 to 1.36) P = 0.476 |
IMD2 (versus IMD1) | 0.76 (0.56 to 1.03) P = 0.075 | 0.83 (0.53 to 1.31) P = 0.414 |
IMD3 (versus IMD1) | 0.98 (0.74 to 1.30) P = 0.893 | 0.83 (0.53 to 1.27) P = 0.375 |
IMD4 (versus IMD1) | 0.78 (0.58 to 1.06) P = 0.102 | 0.81 (0.49 to 1.33) P = 0.396 |
IMD5 (versus IMD1) | 0.68 (0.51 to 0.89) P = 0.006 | 0.71 (0.45 to 1.11) P = 0.131 |
Number of observations | 5,430 | 5,447 |
Pseudo R2 | 0.060 | 0.144 |