[wittyreference]

Controlling for confounders is better than not; it's also far short of adequate ("controlling" means "reducing a little," not "eliminating"), and in collinear variables you can easily kill the significance of one by adjusting for the other, if you're not careful (ordinarily we experiment with the order of controlling in a multiple regression, to see if that occurs, as well as testing for interaction effects.)