Association between metabolic score for insulin resistance (METS-IR) and hypertension: a cross-sectional study based on NHANES 2007-2018.

IF 3.9 2区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Lipids in Health and Disease Pub Date : 2025-02-21 DOI:10.1186/s12944-025-02492-y
Zhen Guo, Xia Guo, Hanchi Xu, Haoxuan Chu, Yulin Tian, Shipeng Wang, Yushi Wang
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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: 16,310 individuals from the 2007-2018 National Health and Nutrition Examination Survey dataset was included. Hypertension was defined by asking participants about their medical history and blood pressure measurements. METS-IR was calculated as follows: ln([ HDL-C (mg/dL)] × [2 × fasting glucose (mg/dL)] + TG (mg/dL) × BMI (kg/m2)). 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.

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胰岛素抵抗代谢评分(METS-IR)与高血压之间的关联:基于NHANES 2007-2018的横断面研究
背景:胰岛素抵抗(Insulin resistance, IR)降低胰岛素的疗效,增加高血压等心血管疾病的危险。胰岛素抵抗代谢评分(METS-IR)基于甘油三酯(TG)和高密度脂蛋白胆固醇(HDL-C)、体重指数(BMI)和空腹血糖水平,提供了一种更简单的方法来评估胰岛素抵抗。随着高血压患病率的增加,特别是在代谢紊乱的人群中,探索高血压与met - ir之间的关系变得至关重要。方法:从2007-2018年全国健康与营养检查调查数据集中纳入16,310人。高血压是通过询问参与者的病史和血压测量来定义的。METS-IR计算公式如下:ln([HDL-C (mg/dL)] × [2 ×空腹血糖(mg/dL)] + TG (mg/dL) × BMI (kg/m2))。该研究调整了性别等协变量;年龄;竞赛;贫困收入比率;婚姻状况;教育背景;总胆固醇(TC)、低密度脂蛋白胆固醇(LDL-C)和血清肌酐水平;吸烟;中风;饮酒;糖尿病;和冠心病(CHD)本研究采用多因素回归模型进行。结果:本研究显示高血压与met - ir有显著正相关。met - ir每升高1个单位,高血压的发生几率就会增加3%(优势比[OR], 1.03;95%可信区间[CI], 1.03-1.04)。在模型3中,met - ir与高血压呈显著相关(OR, 3.31;95% ci, 2.64-4.14;P 0.05)。结论:met - ir与高血压有密切关系,可作为评价代谢健康和早期高血压危险的重要指标。
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来源期刊
Lipids in Health and Disease
Lipids in Health and Disease 生物-生化与分子生物学
CiteScore
7.70
自引率
2.20%
发文量
122
审稿时长
3-8 weeks
期刊介绍: Lipids in Health and Disease is an open access, peer-reviewed, journal that publishes articles on all aspects of lipids: their biochemistry, pharmacology, toxicology, role in health and disease, and the synthesis of new lipid compounds. Lipids in Health and Disease is aimed at all scientists, health professionals and physicians interested in the area of lipids. Lipids are defined here in their broadest sense, to include: cholesterol, essential fatty acids, saturated fatty acids, phospholipids, inositol lipids, second messenger lipids, enzymes and synthetic machinery that is involved in the metabolism of various lipids in the cells and tissues, and also various aspects of lipid transport, etc. In addition, the journal also publishes research that investigates and defines the role of lipids in various physiological processes, pathology and disease. In particular, the journal aims to bridge the gap between the bench and the clinic by publishing articles that are particularly relevant to human diseases and the role of lipids in the management of various diseases.
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