Table 2 Description of predictors used in multivariate logistic regression analysis
Covariates | Variable type | Categories |
|---|---|---|
Gender | Categorical (dummy) | 1 = Female, 0 = Male |
Age | Continuous | –- |
Level of Education | ||
Master’s degree level education | Categorical (dummy) | 0 = Bachelor’s degree, 1 = Master’s degree |
Phd degree level education | Categorical (dummy) | 0 = Bachelor’s degree, 1 = PhD degree |
Field of Work | ||
Hemodialysis/Hospital | Categorical (dummy) | 0 = Others (research, administrative, sales), 1 = Haemodialysis/Hospital |
Clinical field | Categorical (dummy) | 0 = Others (research, administrative, sales), 1 = Clinical |
Public health or community nutrition | Categorical (dummy) | 0 = Others (research, administrative, sales), 1 = Public health or community nutrition |
Food service | Categorical (dummy) | 0 = Others (research, administrative, sales), 1 = Food service |
Freelance or working from home | Categorical (dummy) | 0 = Others (research, administrative, sales), 1 = Freelance or working from home |
Professional status | Categorical (dummy) | 0 = registered, 1 = licensed |
Years of experience | Continuous | –- |
Monthly income | Continuous | –- |