Table 5.
Effect of the intervention on daily consumption of food by group of intervention
| Food categories | Group 1 Web-only (n = 218) |
Group 2 Web + e-mail (vs control) (n = 196) |
Group 3 Web + SMS (vs control) (n = 194) |
|---|---|---|---|
| Water | 0.03 (0.09) | −0.07 (0.12) | 0.02 (0.12) |
| Fruit | 0.17* (0.07) | −0.06 (0.09) | 0.08 (0.09) |
| Vegetables | −0.04 (0.04) | −0.03 (0.06) | 0.12* (0.06) |
| Starchy foods | −0.06 (0.05) | −0.01 (0.07) | − 0.07 (0.07) |
| Meat | −0.03 (0.03) | 0.05 (0.05) | 0.01 (0.05) |
| Fish | −0.02 (0.02) | 0.00 (0.02) | 0.03 (0.03) |
| Eggs | −0.03 (0.02) | 0.03 (0.02) | 0.01 (0.02) |
| Dairy products | 0.04 (0.05) | −0.02 (0.07) | −0.03 (0.07) |
| Fat | 0.07 (0.06) | −0.01 (0.07) | 0.01 (0.07) |
| Fat meat/fat fish | 0.03 (0.03) | −0.05 (0.05) | −0.03 (0.03) |
| Sweets | −0.11* (0.05) | −0.11 (0.07) | 0.00 (0.08) |
| Soft drinks | −0.11 (0.06) | −0.02 (0.08) | − 0.04 (0.08) |
Results are presented as regression coefficients (Std. Errors)
*Significant at the p < .05 level