Hi, my thesis is due soon and I am having a problem with confounding.
Background: I am testing the relationship between parity (independent) and BMI (dependent) with linear regression. The unadjusted relationship is significant (p<0.001). When I do a multiple regression analysis with parity and monthly household income (which also has a significant unadjusted association with BMI) as the independent variables and BMI as the dependent, parity is no longer significant but income remains significant. Therefore, is income a confounder in the relationship between parity and BMI? Or if no relationship exists between parity and BMI after adjustment, is it not confounding? The unstandardised B coefficient of parity changed by more than 10% from the unadjusted to adjusted models.
Any help is greatly appreciated as I am under time pressure. Thank you!
Background: I am testing the relationship between parity (independent) and BMI (dependent) with linear regression. The unadjusted relationship is significant (p<0.001). When I do a multiple regression analysis with parity and monthly household income (which also has a significant unadjusted association with BMI) as the independent variables and BMI as the dependent, parity is no longer significant but income remains significant. Therefore, is income a confounder in the relationship between parity and BMI? Or if no relationship exists between parity and BMI after adjustment, is it not confounding? The unstandardised B coefficient of parity changed by more than 10% from the unadjusted to adjusted models.
Any help is greatly appreciated as I am under time pressure. Thank you!
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