Association of incidence of colorectal polyp with markers of insulin resistance and other related factors: a cross-sectional study

To explore the relationship between the incidence of colorectal polyps and related factors such as markers of insulin resistance (IR) , a retrospective analysis was used to collect 2716 patients who underwent physical examinations in Guangzhou Cadre and Talent Health Management Center from June 2020 to June 2023. The patients were classified as colorectal polyp group (n = 1328) and non-polyp group (n = 1388) after colonoscopy. Baseline data of colorectal polyp and non-polyp groups were compared. Non-insulin-based IR markers including Triglyceride Glucose Index (TyG), triglyceride glucose index (TyG)- Body Mass Index(BMI), triglycerides (TG)/high density lipoprotein cholesterol (HDL-C), Metabolic Score for Insulin Resistance (METS-IR), and mean arterial pressure (MAP) were calculated. The risk factors of colorectal polyps were analyzed by binary logistic regression. Receiver operating characteristic (ROC) curves and area under the curve (AUC) were used to evaluate the ability of insulin resistance markers to detect colorectal polyps. The proportion of males in colorectal polyp group was higher than that in non-polyp group. There were significant differences in TyG-BMI, TyG, TG/HDL-C, METS-IR, MAP, and other indicators between the colorectal polyp group and the non-polyp group (p < 0.05). Binary logistic regression analysis showed that elevation in age, BMI, TyG-BMI, TyG, TG/HDL-C, METS-IR, MAP and CEA were positively correlated with the risk of colorectal polyps (p < 0.05). The AUCs of insulin resistance markers and MAP were larger than CEA to detect colorectal polyps. The AUC values of models in combination of age, sex and insulin resistance markers/MAP is higher. TyG, TyG-BMI, TG/HDL-C, and METS-IR could be used as indicators to predict the occurrence of colorectal polyps. These findings provide an important clinical reference for the prevention and treatment of colorectal polyps.