# Cohort Matching - Matching vs. Model variable selection

When cohort matching (I'm thinking specifically of either propensity score matching or Mahalanobis distance matching), is it appropriate to include the same covariate(s) in both the matching and the final outcome models? Or can you only include a covariate in either the matching model or final model, but not both? In other words, if I include a covariate in both models, am I over-controlling for that covariate?