Yes, over-adjustment can be problematic. Over-adjustment occurs when unnecessary variables are included in the model, potentially diluting or masking the true relationship between the main variables of interest. It is important to strike a balance between adequate adjustment and over-adjustment to maintain the integrity of the study results.
