In clinical research, researchers not only pay attention to the direct influence of independent variables on dependent variables, but also pay attention to its possible indirect pathways of action. Mediating effects analysis can be used to explore whether the influence of the independent variable (X) on the dependent variable (Y) is transmitted indirectly through the mediating variable (M). For example, in the study of childhood obesity and asthma risk, mediation analysis can assess whether systemic inflammatory responses play a mediating role therein, thus revealing the underlying mechanism. Common analysis methods for mediation effects are as follows.