Mets-IR as a predictor of cardiovascular events in the middle-aged and elderly population and mediator role of blood lipids

Background Cardiovascular disease (CVD) is a global health concern, with significant impact on morbidity and mortality rates. Using fasting glucose, triglycerides, body mass index (BMI), high-density lipoprotein cholesterol (HDL-C), the metabolic score of insulin resistance (Mets-IR), novel created by Mexican researchers to assess sensitivity, more precise way measure sensitivity. This study aimes explore association between Mets-IR CVD, as well investigate potential mediating role low-density (LDL-C). Methods The study’s data came from 2011 2018 China Health Retirement Longitudinal Studies (CHARLS). We used three logistic regression models account for effects ten factors cardiovascular disease/stroke/heart disease. Moreover, performed mediation analyses evaluate LDL-C in incident CVD. Results comprised 4,540 participants, whom 494 (10.88%) were found develop (CVD). Each interquartile range (IQR) increased raised risk developing CVD 38% (OR=1.38; 95% CI, 1.21-1.56) there was linear dose-response relationship new-onset disease, stroke, heart ( P overall <0.05, non-linear >0.05). Approximately 5% (indirect effect/total effect) stroke mediated LDL-C, respectively. With addition base model, continuous net reclassification improvement integrated discrimination predicting 0.175 (P <0.001) 0.006 < 0.001), Conclusion ets-IR associated an disease/stroke/cardiac issues, these relationships. Improving sensitivity lipid regulation may be essential effective preventive measures events.