Table 3.
Adjusted Logistic Regression for Independent Correlates of Dietary Habits (OR, 95%CI)
| Fruits | Vegetables | Cacao | Fish | Sodas | Fried Food | Fast Food | Junk Food | |
|---|---|---|---|---|---|---|---|---|
| Age | ||||||||
| 18–39 (ref) | – | – | – | – | – | – | – | – |
| 40–59 | 1.45 (0.68, 3.08) | 2.25 (0.69, 7.98) | 1.09 (0.53, 2.24) | 1.04 (0.48, 2.24) | 1.35 (0.64, 2.85) | 1.29 (0.64, 2.60) | 2.77 0.96, 7.98) | 1.10 (0.36, 3.19) |
| 60–90 | 1.16 (0.40, 3.35) | 0.43 (0.06, 3.26) | 1.33 (0.48, 3.66) | 3.24 (1.11, 9.44) | 3.90 (1.38, 11.04) | 0.51 (0.19, 1.40) | 12.17 (2.00, 73.84) | 0.58 (0.12, 3.07) |
| Sex | ||||||||
| Male (ref) | – | – | – | – | – | – | – | – |
| Female | 0.51 (0.22, 1.19) | 0.69 (0.18, 2.66) | 1.26 (0.56, 2.83) | 1.20 (0.49, 2.90) | 1.07 (0.46, 2.48) | 0.79 (0.36, 1.73) | 3.43 (1.23, 9.56) | 0.41 (0.11, 1.55) |
| Education | ||||||||
| None (ref) | – | – | – | – | – | – | – | – |
| Primary | 0.44 (0.13, 1.51) | 0.74 (0.11, 5.09) | 0.82 (0.28, 2.40) | 2.28 (0.71, 7.26) | 1.44 (0.48, 4.28) | 0.76 (0.26, 2.23) | 4.83 (1.01, 23.0) | 1.82 (0.27, 12.20) |
| Secondary | 0.43 (0.11, 1.67) | 0.63 (0.08, 4.93) | 0.99 (0.30, 3.26) | 1.80 (0.50, 6.38) | 1.87 (0.57, 6.20) | 0.66 (0.20, 2.15) | – | 1.37 (0.17, 10.84) |
| Monthly Income | ||||||||
| Poor (ref) | – | – | – | – | – | – | – | – |
| Low-Moderate | 0.38 (0.19, 0.78) | 1.28 (0.35, 4.62) | 0.58 (0.30, 1.14) | 0.28 (0.13, 0.58) | 0.35 (0.17, 0.73) | 0.61 (0.31, 1.19) | 0.15 (0.04, 0.46) | 0.21 (0.06, 0.74) |
| Moderate-High | 0.28 (0.10, 0.75) | 3.17 (0.72, 13.96) | 0.27 (0.09, 0.81) | 0.39 (0.13, 1.11) | 0.97 (0.37, 2.58) | 0.84 (0.32, 2.17) | 0.31 (0.06, 1.42) | 0.16 (0.02, 1.39) |
Bold indicates significance at p < 0.05 based on logistic regression
Model is adjusted for sex, age, education, and monthly income
CI Confidence interval