Table 5.
Multiple regression models to identify the determinants of nutritional knowledge.
| All Participants (n = 1003) | PHN Participants Excluded (n = 861) | |||
|---|---|---|---|---|
| Coefficient | p-Value | Coefficient | p-Value | |
| Demographic information | <0.001 * | |||
| Age | 0.072 | 0.004 | 0.062 | 0.022 |
| Gender (Female) | 0.738 | 0.040 | 0.801 | 0.026 |
| Degree (Undergraduate) | −0.512 | 0.045 | 0.535 | 0.046 |
| Nationality (UAE National) | 0.452 | 0.263 | −0.425 | 0.331 |
| Employment (Employed) | −0.433 | 0.032 | −0.258 | 0.231 |
| Marital status (Married) | 0.156 | 0.194 | 0.146 | 0.263 |
| Education | <0.001 * | |||
| Nutrition major | 1.422 | <0.001 | - | - |
| Received education related to healthy food and sustainable nutrition | 0.577 | 0.005 | 0.462 | 0.028 |
| Source of nutritional knowledge | <0.001 * | |||
| School curriculums | 0.516 | 0.004 | 0.444 | 0.024 |
| Nutritionist/dietitian | 0.048 | 0.789 | 0.121 | 0.544 |
| I did my own research | 0.731 | <0.001 | 0.710 | 0.000 |
| Social media | 0.530 | <0.001 | 0.497 | 0.004 |
| I haven’t learnt about it | 0.551 | 0.060 | 0.308 | 0.315 |
Dependent Variable: Nutritional Knowledge. * p-value calculated based on partial F-test.