Confounding factors are variables that are associated with both the exposure and the outcome, potentially leading to biased estimates of the true effect. Adjusting for these factors helps in obtaining a clearer and more accurate understanding of the relationship between the exposure and the outcome. For instance, in studying the link between smoking and lung cancer, one might need to adjust for age, as age could be a confounder.
