# Multiple dependant variables in logistic regression

I have a binary dependent variable, say food security status, where 0 = food insecure and 1 = food secure, and this response variable is recorded for two categories of households, small farmers and land less rural house holds. Both these household categories may have food secure or food insecure. These dependant variables are a function of some common independant variables. I want to check which independant variable has more impact on farmers or landless households' food security.

Is it possible to include it in one logistic regression model? Or do I need to run separate models for farmers and landless households?

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Cat 1: Food secure and small farmer