The Association Between Metabolic Score for Insulin Resistance and the Risk of Hypertension

Abstract Objectives To systematically investigate the association and dose-response relationship between the metabolic score for insulin resistance (METS-IR) and the risk of hypertension, using data from a prospective cohort study of Chinese adults. Methods A total of 4866 adults without baseline hypertension were enrolled from the 2009 China Health and Nutrition Survey (CHNS) and followed up for 6 years to observe new-onset hypertension. Multivariable logistic regression, restricted cubic spline analysis, and subgroup analyses were employed to comprehensively evaluate the relationship between METS-IR and hypertension risk. Results During follow-up, 1256 participants developed hypertension. Multivariable logistic regression analysis showed that METS-IR was an independent risk factor for hypertension. As a continuous variable, METS-IR showed a positive correlation with hypertension risk (OR = 1.03, 95% CI, 1.02-1.05, P <.001). In quartile analyses, compared with the lowest quartile, the highest quartile of METS-IR was associated with increased hypertension risk (OR = 1.73, 95% CI, 1.37-2.18, P <.001). Restricted cubic spline analysis confirmed a linear correlation between METS-IR and hypertension risk (Pnonlinear = .388). Subgroup analyses indicated no significant interaction effects of sex, smoking, alcohol consumption, region, body mass index, or age on this association (all P for interaction >.05). Conclusions Metabolic score for insulin resistance serves as an independent risk factor for hypertension, with elevated levels demonstrating a robust positive correlation with hypertension risk.

Authors

Institutions

Publication Details

Journal
American Journal of Hypertension
Published
2026-08-14
DOI
https://doi.org/10.1093/ajh/hpaf211
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Association Between Metabolic Score for Insulin Resistance and the Risk of Hypertension

Changqiang Yang, Chen Yuang, Song Yue
American Journal of Hypertension
Diabetes, Cardiovascular Risks, and Lipoproteins
article

The Association Between Metabolic Score for Insulin Resistance and the Risk of Hypertension

Changqiang Yang, Chen Yuang, Song Yue
article en

Abstract

Abstract Objectives To systematically investigate the association and dose-response relationship between the metabolic score for insulin resistance (METS-IR) and the risk of hypertension, using data from a prospective cohort study of Chinese adults. Methods A total of 4866 adults without baseline hypertension were enrolled from the 2009 China Health and Nutrition Survey (CHNS) and followed up for 6 years to observe new-onset hypertension. Multivariable logistic regression, restricted cubic spline analysis, and subgroup analyses were employed to comprehensively evaluate the relationship between METS-IR and hypertension risk. Results During follow-up, 1256 participants developed hypertension. Multivariable logistic regression analysis showed that METS-IR was an independent risk factor for hypertension. As a continuous variable, METS-IR showed a positive correlation with hypertension risk (OR = 1.03, 95% CI, 1.02-1.05, P <.001). In quartile analyses, compared with the lowest quartile, the highest quartile of METS-IR was associated with increased hypertension risk (OR = 1.73, 95% CI, 1.37-2.18, P <.001). Restricted cubic spline analysis confirmed a linear correlation between METS-IR and hypertension risk (Pnonlinear = .388). Subgroup analyses indicated no significant interaction effects of sex, smoking, alcohol consumption, region, body mass index, or age on this association (all P for interaction >.05). Conclusions Metabolic score for insulin resistance serves as an independent risk factor for hypertension, with elevated levels demonstrating a robust positive correlation with hypertension risk.

American Journal of HypertensionVol. 39(9)
First Affiliated Hospital of Chengdu Medical College (CN)
Zero hunger
Openalex Percentile: Top 10%
Diabetes, Cardiovascular Risks, and Lipoproteins
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.