Table 3.
Logistic Regression With Food Insecurity as the Dependent Variable.a
| 95%CI | ||||
|---|---|---|---|---|
| Independent variables | Odds ratio | Lower | Upper | p-value |
| Healthy eating index | 1.018 | 0.973 | 1.065 | .441 |
| Sends Remittances | 0.188 | 0.005 | 7.437 | .373 |
| Annual household income | 0.700 | 0.340 | 1.444 | .335 |
| Education attainment | 0.779 | 0.323 | 1.877 | .578 |
| Gender- Female | 0.078 | 0.002 | 3.206 | .179 |
| Age | 1.029 | 0.959 | 1.105 | .425 |
| Age at immigration | 1.018 | 0.935 | 1.109 | .677 |
| Body Mass index | 1.1147 | 1.008 | 1.305 | .037** |
| Acculturation | 0.363 | 0.082 | 1.609 | .182 |
| Lacks US citizenship | 8.654 | 0.221 | 338.735 | .249 |
| Marital status | 0.398 | 0.111 | 1.430 | .158 |
| Female × Remittances | 5.160 | 0.107 | 248.320 | .406 |
| Constant | 0.016 | - | - | .224 |
1 = Low and very low food security and 0 = High and marginal food security.
p < .01,
p < .05,
p < .1.