Reverse causality refers to a situation where the cause and effect relationship between two variables is misunderstood, leading to incorrect conclusions. Specifically, it occurs when it is assumed that variable A causes variable B, but in reality, variable B is actually causing variable A. This is a significant issue in epidemiological studies as it can lead to erroneous public health recommendations and interventions.
