Table 3.
Logistic regression estimates for demographic and socioeconomic variables influencing peanut consumption frequency and readiness to try new foods, respectively.
| Predictor | Peanut Consumption Frequency | Readiness to Try New Foods | ||
|---|---|---|---|---|
| Odds Ratio (CI) |
χ2
p > χ2 |
Odds Ratio (CI) |
χ2
p > χ2 |
|
| Gender | ||||
| Male vs. Female | 1.12 (0.75, 1.65) |
0.301 0.583 |
1.90 (1.27, 2.84) |
9.603 0.002 |
| Age | ||||
| <30 years vs. ≥30 years | 1.01 (0.69, 1.50) |
0.005 0.945 |
1.38 (0.92, 2.06) |
2.401 0.121 |
| Education level | ||||
| High school and below vs. Post high school | 2.35 (1.57, 3.51) |
17.301 <0.0001 |
2.74 (1.79, 4.18) |
21.796 <0.0001 |
| Occupation | ||||
| Full-time employment vs. Other occupations | 1.20 (0.81, 1.77) |
0.819 0.366 |
2.02 (1.35, 3.02) |
11.824 0.001 |
| Monthly income | ||||
| Low vs. Medium and High | 1.16 (0.71, 1.90) |
0.337 0.561 |
1.04 (0.62, 1.75) |
0.018 0.893 |
Probability values (p) in bold are significant at 5% significance level; CI = 95% confidence interval. Prediction Equations: Consumption frequency = 1/(1 + exp(−(−0.59 + 0.85 × Education Level High School and Below))); Readiness to Try New Foods = 1/(1 + exp(−(0.40 + 0.64 × Gender Male + 1.01 × Education Level Post High School + 0.71 × Occupation Full-time))).