Relative risk (RR) using categorical variables

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Hi there,

I'm trying to calculate both crudeRR (relative risk) with 95%CI and adjustedRR for my data and all I can find is people calculating RR with a 2x2 table.

My response variable is binary (poor sleep quality vs. good sleep quality), however, many of my explanatory variables are not (e.g., education [University, high school or trade school, grade school, other], work schedule [fixed, flexible, shifts] ..)

What is the best way to do this? Can I use a generalized linear model similar to glm used to calculate OR?

Thanks!

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