Table 3.
Multivariable logistic regression analysis of socio-demographic, awareness, and dietary factors of adolescent girls with respect to fruit and vegetable consumption in rural communities in the Dhanusha district of Nepal, 2018.
| Variables | aOR (95%CI) | p-Value |
|---|---|---|
| Education | ||
| <10 grade | 2.5 (1.06–5.78) | 0.035 |
| ≥10 grade | Reference | |
| Household income (tercile) | ||
| 1st tercile | 3.9 (1.22–12.67) | 0.022 |
| 2nd tercile | 1.4 (0.56–3.30) | 0.492 |
| 3rd tercile | Reference | |
| Awareness regarding fruits & vegetables consumption | ||
| Yes | Reference | |
| No | 3.1 (1.20–8.23) | 0.020 |
| Availability of fruits and Vegetables at household level | ||
| Yes | Reference | |
| No | 3.0 (1.16–7.60) | 0.023 |
| Dietary diversity | ||
| High | Reference | |
| Medium | 1.5 (0.26–8.19) | 0.668 |
| Low | 2.3 (1.04–4.97) | 0.041 |
| Nutrition status; BMI (kg/m2) | ||
| Underweight (<18.5) | 8.2 (1.32–47.45) | 0.024 |
| Overweight/obese (≥25) | 2.7 (0.36–20.01) | 0.909 |
| Normal (18.5–24.9) | Reference |
All variables with a p-value of ≤0.05 by univariate analysis were entered into the final multivariable logistic regression model. Statistical significance was accepted for p-values of <0.05. aOR: adjusted odds ratio.