Table 6.
Variable | Regression coefficient‡ | P value | 95 CI % | R 2 |
---|---|---|---|---|
0·701 | ||||
Food store pattern§ | −2·53 | <0·001 | −3·4, −1·7 | |
Income (R$/capita per month) | 0·39 | <0·001 | 0·3, 0·5 | |
Setting (0=rural, 1=urban) | 3·39 | <0·001 | 2·3, 4·5 | |
Region | ||||
North | ||||
Northeast | 2·54 | <0·001 | 1·7, 3·4 | |
Southeast | 3·41 | <0·001 | 2·2, 4·6 | |
South | 6·31 | <0·001 | 5·0, 7·6 | |
Midwest | −1·01 | 0·091 | −2·2, 0·2 |
The share (%) of the total energy acquired for household consumption.
Linear regression.
Food store pattern: negatively associated with purchasing in supermarkets, bakeries and bars/cafeterias/restaurants, and positively associated with purchasing in small markets, street markets/greengroceries, small producers, butcher shops and street vendors.