It's great that you're exploring the relationship between socio-demographic factors and bed-net usage. Analyzing the association using adjusted odds ratios is a common approach in epidemiological studies. Here are some steps to verify the theoretical correctness of your sub-variable grouping and ensure the validity of your analysis:

In addition to the steps outlined above, it is always beneficial to consult relevant academic papers, textbooks, or online resources that discuss logistic regression and the interpretation of odds ratios. This will provide you with a solid foundation and enhance your understanding of the methodology and its application in your specific research context.

I would convert each of your independent variables to interval scoring in order to simply your analysis. For your age groups, recode them to the middle of the range (e.g., if the minimum age for participation is 18, then 18-25 = 21.5). For education, convert the categories to years of schooling.

To perform a logistic regression after ending the data preparation (i.e., solving completeness and correctness data issues, creating derived and new variables, and the data inclusion/exclusion), you need to convert categorical variables into binary variables. In place to have age, you will have four variables (one for each level under 25, between 25 to 34, between 35 to 44, and 45 and above) and these new variables will be two levels "0" if this characteristic is absent and "1" if the characteristic is present. After performing this stage, you can split your dataset, cross-validate and apply parameters, run your model, evaluate your model, and interpret odd ratios.

Thanks so much for your responses.