Lipids as potential mediators linking body mass index to diabetes: evidence from a mediation analysis based on the NAGALA cohort

• DOI: 10.1186/s12902-024-01594-5
• Publication Date: 2024-05-10T10:01:43Z
• Authors: Song Lu; Qun Wang; Hengcheng Lu; Maobin Kuang; Min Zhang; Guotai Sheng; Yang Zou; Xiaoping Peng
• Keywords: Lipid Profile; High-density lipoprotein

Abstract Background Body mass index (BMI) and lipid disorders are both known to be strongly associated with the development of diabetes, however, indirect effect parameters in BMI-related diabetes risk is currently unknown. This study aimed investigate mediating role association BMI risk. Methods We assessed BMI, as well including high-density lipoprotein cholesterol(HDL-C), low-density cholesterol(LDL-C F LDL-C S ), triglycerides(TG), total cholesterol(TC), remnant cholesterol(RC), non-HDL-C, combined indices HDL-C (RC/HDL-C ratio, TG/HDL-C TC/HDL-C non-HDL/HDL-C LDL/HDL-C ratio) using data from 15,453 subjects NAGALA project. Mediation models were used explore risk, mediation percentages calculated for quantifying strength effects. Finally, receiver operating characteristic curve (ROC) analysis was compare accuracy predicting incident diabetes. Results Multivariate regression models, adjusted confounding factors, demonstrated robust associations parameters, exception TC, , non-HDL-C. showed that except Non-HDL-C involved mediated largest percentage being RC/HDL-C which high 40%; it worth mentioning HDL-C-related ratio also play an important between mediator proportion greater than 30%. based on ROC results, we found prediction performance all current TC significantly improved when BMI. Conclusion Our fresh findings suggested partially risk; this result indicated context screening disease management, not only monitor but pay attention particularly parameters.