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. 2024 Apr 25;23:141. doi: 10.1186/s12933-024-02229-8

Table 2.

Association of insulin resistance index with new onset hypertension

Incidence of total hypertension
Crude model Model 1 Model 2
HR (95% CI) p-value HR (95% CI) p-value HR (95% CI) p-value
TyG index 1.804 (1.620–2.008) < 0.001 1.135 (0.999–1.290) 0.052 1.083 (0.951–1.235) 0.22
TG/HDL-C 1.097 (1.076–1.118) < 0.001 1.029 (1.002–1.056) 0.03 1.023 (0.995–1.052) 0.10
METS-IR 5.135 (3.893–6.774) < 0.001 1.594 (1.111–2.286) 0.01 1.389 (0.958–2.014) 0.08
ZJU index 1.012 (1.010–1.015) < 0.001 1.003 (0.999–1.007) 0.10 1.003 (0.999–1.008) 0.09
Incidence of stage I hypertension
TyG index 1.716 (1.566–1.981) < 0.001 1.102 (0.958–1.268) 0.17 1.049 (0.909–1.210) 0.51
TG/HDL-C 1.115 (1.088–1.141) < 0.001 1.037 (1.004–1.071) 0.02 1.028 (0.995–1.063) 0.10
METS-IR 5.146 (3.783–6.999) < 0.001 1.611 (1.085–2.392) 0.01 1.392 (0.927–2.090) 0.11
ZJU index 1.012 (1.009–1.014) < 0.001 1.002 (0.997–1.007) 0.50 1.001 (0.996–1.006) 0.59
Incidence of stage II hypertension
TyG index 2.907 (2.254–3.749) < 0.001 1.527 (1.111–2.101) 0.009 1.409 (1.024–1.939) 0.03
TG/HDL-C 1.141 (1.101–1.183) < 0.001 1.057 (1.002–1.115) 0.04 1.044 (0.987–1.105) 0.13
METS-IR 15 733 (8.195–30.205) < 0.001 2.998 (1.203–7.473) 0.01 2.317 (0.904–5.938) 0.08
ZJU index 1.018 (1.014–1.023) < 0.001 1.010 (1.004–1.017) 0.002 1.010 (1.004–1.017) 0.002

Data are presented as hazard ratios (HR) and 95% confidence intervals (CI) using multivariable Cox regression analysis

Model 1: adjust for age, sex, alcohol intake, tobacco smoking, family history for early-onset cardiovascular diseases or hypertension, physical activity levels, systolic blood pressure, diastolic blood pressure, and body mass index

Model 2: adjusted for variables in the Model 1 + low-density lipoprotein cholesterol, serum uric acid, blood urea nitrogen and estimated glomerular filtration rate

Abbreviations: AUC: area under curve; TyG, triglyceride glucose; TG, triglyceride; HDL-C, high-density lipoprotein cholesterol; METS-IR, metabolic score for insulin resistance; ZJU, Zhejiang University