Association between metabolic score for insulin resistance (METS-IR) and hypertension: a cross-sectional study based on NHANES 2007–2018
Zhen Guo, Xia Guo, Hanchi Xu, Haoxuan Chu, Yulin Tian, Shipeng Wang, Yushi Wang
Abstract
BACKGROUND: Insulin resistance (IR) reduces insulin efficacy and heightens the danger of cardiovascular diseases including hypertension. The Metabolic Score for Insulin Resistance (METS-IR), which is based on triglyceride (TG) and high-density lipoprotein cholesterol (HDL-C), body mass index (BMI), and fasting glucose levels, provides a simpler way to assess IR. As the hypertension's prevalence increases, particularly in those with metabolic disorders, exploring the relationship between hypertension and METS-IR has become crucial. METHODS: )). The study adjusted for covariates like sex; age; race; poverty-income ratio; marital status; educational background; total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and serum creatinine levels; smoking; stroke; alcohol consumption; diabetes; and coronary heart disease (CHD). This study was conducted using a multi-factor regression model. RESULTS: This research demonstrated a significant positive relationship between hypertension and METS-IR. Each 1-unit rise in METS-IR corresponds to a 3% higher chance of hypertension (odds ratio [OR], 1.03; 95% confidence interval [CI], 1.03-1.04). In model 3, METS-IR exhibited a notable correlation with hypertension (OR, 3.31; 95% CI, 2.64-4.14; P < 0.001). A threshold effect analysis demonstrated a nonlinear association. Finally, subgroup analyses supported the stability of the relationship between METS-IR and factors such as sex, race, alcohol consumption, CHD, smoking, and stroke (P > 0.05). CONCLUSIONS: METS-IR showed a strong relationship with hypertension and may be an important marker for evaluating metabolic health and the early hypertension danger.