Table 4.
The association between the households food security and the demographic, socioeconomic variables (n=1167)
| Variables | B (SE) | Crude Odds Ratio (95% CI) |
Wald Statistics | P-Value a |
| Proxy gender | ||||
| Male (Ref) | 0.19(0.21) | Ref | 0.76 | 0.38 |
| Female | 1.20 (0.79–1.85) | |||
| Age (years) | 0.009 (0.01) | 1.009 (0.99–1.02) | 0.98 | 0.32 |
| Governorates | ||||
| North Gaza (Ref) | -0.02 (0.44) | Ref | 0.002 | 0.96 |
| Gaza | 0.43 (0.32) | 0.97 (0.40–2.35) | 1.87 | 0.17 |
| Middle-Area | 0.37 (0.42) | 1.55 (0.82–2.90) | 0.77 | 0.37 |
| Khanyounis | 0.70 (0.34) | 1.45 (0.63–3.37) | 4.15 | 0.04* |
| Rafah | 2.02 (1.02–3.98) | |||
| Living area | ||||
| City (Ref) | 0.64 (0.39) | Ref | 2.60 | 0.10 |
| Village | -0.27 (0.40) | 1.89(0.89–4.13) | 0.48 | 0..48 |
| Camp | 0.75 (0.34–1.65) | |||
| Educational level | ||||
| Illiterate (Ref) | 0.21 (0.98) | Ref | 0.04 | 0.82 |
| Primary | -0.07 (0.83) | 1.23(0.18–8.50) | 0.008 | 0.92 |
| Preparatory | 0.49(0.81) | 0.92(0.18–4.72) | 0.36 | 0.54 |
| Secondary | 0.01 (0.81) | 1.63 (0.33–8.06) | 0.001 | 0.98 |
| University | 1.01 (0.20–4.97) | |||
| Family Members | -0.01 (0.03) | 0.98 (0.92–1.05) | 0.13 | 0.71 |
| Monthly income (NIS)a | ||||
| Less than 1000 | 0.70 (0.34) | 2.00 (1.04–2.75) | 16.83 | <0.001* |
| 1000 to 2000 | -2.29 (0.33) | 0.10(0.05–0.19) | 46.82 | <0.001* |
| 2001 to 3000 | -3.55 (0.27) | 0.02 (0.01–0.04) | 0.48 | 0.03* |
| More than 3000 (Ref) | Ref | |||
| Receive food aids | ||||
| Yes (Ref) | -0.24(0.18) | Ref | 1.67 | 0.19 |
| No | 0.78(0.54–1.13) | |||
| Homeownership | ||||
| Owned (Ref) | 0.85 (0.26) | Ref | 10.25 | 0.001* |
| Rented | 2.36(1.39–3.99) | |||
| Work status | ||||
| Have work (Ref) | 0.13(0.27) | Ref | 0.24 | 0.04* |
| Do not have work | 1.14(0.66–1.97) | |||
| Marital status | ||||
| Married (Ref) | -0.87 (0.48) | Ref | 3.24 | 0.07 |
| Divorced | -0.31 (0.55) | 0.41(0.16–1.08) | 0.32 | 0.56 |
| Widowed | 0.73(0.24–2.14) |
Statistical testing using logistic regression. Ref=Reference category; COR=Denotes crude odds ratio using 95% confidence interval in univariate logistic regression analysis; CI=Confidence interval; B= slop; NIS: New Israeli Shekel.
Difference is significant at the 0.05 level (2-tailed)