Correlation between non-insulin-based insulin resistance indexes and the risk of prehypertension: A cross-sectional study

The authors aimed to characterize the relationships between non-insulin-based insulin resistance (IR) indexes and the risk of prehypertension, and to compare their abilities to identify prehypertension. The authors recruited 3274 adults who did not have hypertension and were not taking hypoglycemic or lipid-lowering medications. The triglyceride-to-high-density lipoprotein-cholesterol ratio (TG/HDL-C), fasting triglyceride and glucose index (TyG), and metabolic score for IR (METS-IR) were calculated. Bivariate Spearman's correlation analysis and multiple logistic analysis were used. The area under the receiver operating characteristic (ROC) curve was used to compare the ability of the three indexes to identify prehypertension. Systolic and diastolic blood pressure (BP) positively correlated with TG/HDL-C (r = .272, P < .001), TyG (r = .286, P < .001), and METS-IR (r = .340, P < .001) in the entire cohort. Multiple logistic analysis showed that the proportion of prehypertension in the third and fourth quartiles of the TG/HDL-C (Q3 vs. Q1: odds ratio (OR) = 1.527, 95% confidence interval (CI): 1.243-1.988; Q4 vs. Q1: OR = 1.580, 95% CI: 1.231-2.028), TyG (Q3 vs. Q1: OR = 1.519, 95% CI: 1.201-1.923; Q4 vs. Q1: OR = 1.658, 95% CI: 1.312-2.614), and METS-IR (Q3 vs. Q1: OR = 1.542, 95% CI: 1.138-2.090; Q4 vs. Q1:OR = 2.216, 95% CI: 1.474-3.331) were significantly higher than in the lowest quartiles. The areas under the curves and 95% CIs for the identification of prehypertension were .647 (.628-.667) for TG/HDL-C, .650 (.631-.669) for TyG, and .683 (.664-.702) for METS-IR, respectively. Thus, non-insulin-based IR indexes (TG/HDL-C, TyG, and METS-IR) are significantly associated with the risk of prehypertension. Furthermore, METS-IR is better able to identify prehypertension than TG/HDL-C and TyG. These non-insulin-based IR indexes might assist with the prevention of hypertension in primary care and areas with limited medical resources.