Table 3.
Logistic regression models of participant shopping behaviour at Go Fresh mobile produce market, Springfield, MA, USA, October 2014
| Dependent variable | Independent variable | OR | 95 % CI | P |
|---|---|---|---|---|
| EBT use (n 130) | ≥60 years old | 2·1 | 0·9, 4·8 | 0·09 |
| Female | 1·4 | 0·6, 3·3 | 0·46 | |
| Non-White | 1·1 | 0·4, 2·8 | 0·89 | |
| Live alone | 2·5 | 1·1, 6·0 | 0·03 | |
| Spend more than $US 10 (n 125) | ≥60 years old | 1·0 | 0·4, 2·5 | 0·97 |
| Female | 0·8 | 0·3, 2·0 | 0·67 | |
| Non-White | 2·6 | 0·8, 8·3 | 0·11 | |
| Live alone | 0·5 | 0·2, 1·3 | 0·13 | |
| EBT use | 1·4 | 0·5, 3·5 | 0·52 | |
| Weekly shopping at Go Fresh (n 128) | ≥60 years old | 0·6 | 0·3, 1·4 | 0·23 |
| Female | 1·3 | 0·6, 2·9 | 0·49 | |
| Non-White | 0·9 | 0·4, 2·1 | 0·79 | |
| Live alone | 2·5 | 1·1, 5·9 | 0·03 | |
| EBT use | 1·7 | 0·7, 3·8 | 0·22 | |
| Travelled <1 mile (<1·6 km) to Go Fresh (n 129) | ≥60 years old | 0·6 | 0·2, 1·4 | 0·21 |
| Female | 0·8 | 0·5, 2·9 | 0·64 | |
| Non-White | 0·9 | 0·1, 1·2 | 0·09 | |
| Live alone | 2·6 | 1·2, 9·7 | 0·02 | |
| EBT use | 1·4 | 0·5, 3·7 | 0·51 |
EBT, electronic benefit transfer.