Table 3.
Variables predicting food insecurity multivariate regression analysis (n = 211)
| Variables predicting food insecurity | B | SE | B | t | P-Value | 95% CI | |
|---|---|---|---|---|---|---|---|
| Lower | Upper | ||||||
| Occupation of employees in the household | 2.529 | 0.812 | 0.215 | 3.116 | 0.002 | 0.929 | 4.129 |
| Has there been a decrease in household monthly income during the pandemic process? | 3.131 | 0.837 | 0.266 | 3.743 | 0.000 | 1.482 | 4.781 |
| Change in money spent on food in the pandemic | 0.203 | 0.494 | 0.029 | 0.410 | 0.682 | -0.771 | 1.177 |
| Household monthly income | 2.001 | 1.010 | 0.135 | 1.982 | 0.049 | 0.010 | 3.993 |
| Has anyone been laid off in the pandemic? | 0.366 | 1.159 | 0.023 | 0.316 | 0.752 | -1.919 | 2.651 |
Note: Values in boldface are considered significant. R 2 = 0.239; P < 0.001.