Screening environmental pollutants that are harmful to the cardiometabolic status and understanding their key toxic pathways are crucial for effective clinical intervention. Based on exposure data of 46 chemicals in a nationally representative 13,286 people, logistic regression and mixture modeling were used to preliminarily identify environmental pollutants with significant impacts on 12 indicators for cardiometabolic disorders. A total of 15 chemicals were found to be associated with the integrated latent class, among which four chemicals (perfluorononanoic acid [PFNA], perfluorooctanoic acid [PFOA], thiocyanate, and thallium) also contributed significantly to the mixture effect. We constructed the adverse outcome pathways (AOPs) for nine significant toxicants in both models of individual chemicals and the mixture for each cardiometabolic disorder. Notably, fluoroalkyl substances affect multiple aspects of hyperlipidemia by activating PPARα. We performed molecular docking and