| Title: | Associations between estimated glucose disposal rate and peripheral artery disease: evidence from the UK Biobank and NHANES |
| Journal: | Nutrition & Metabolism |
| Published: | 3 Jun 2026 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/42237399/ |
| DOI: | https://doi.org/10.1186/s12986-026-01149-6 |
Publication 19787
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Abstract
BackgroundInsulin resistance (IR) is considered a key pathogenic mechanism of peripheral artery disease (PAD). The estimated glucose disposal rate (eGDR) serves as a practical surrogate marker of IR. The study aimed to investigate the association between eGDR and incident PAD risk in the general population.MethodsA total of 456,743 participants free of PAD at baseline were included from the prospective UK Biobank cohort. In addition, we examined the cross-sectional association between eGDR and prevalent PAD among 7,208 participants from the National Health and Nutrition Examination Survey (NHANES) as a supplementary analysis.ResultsMultivariable Cox regression analysis showed that participants in the highest eGDR quartile (Q4) experienced the greatest reduction in the risk of developing PAD compared with the reference group [Q4 vs. Q1; fully adjusted hazard ratio (HR) = 0.67, 95% confidence interval (CI): 0.63-0.72, P < 0.001]. Restricted cubic spline (RCS) curve and threshold effect analysis also suggested a significant nonlinear inverse relationship between eGDR and PAD risk, with an inflection point at 7.829 (P for overall < 0.001; P for nonlinearity < 0.001). Two-piecewise Cox regression further indicated that below the threshold, an increase in eGDR was associated with a greater reduction in PAD risk (HR = 0.85, 95% CI: 0.84-0.87, P < 0.001). A similar inverse association between eGDR and prevalent PAD was observed in the NHANES analysis.ConclusionseGDR was inversely associated with PAD. Further studies are needed to explore the clinical utility of this association.</p>
8 Authors
- Jilang Zeng
- Xinjie Zeng
- Weihong Lin
- Xinjun Lin
- Feng Hu
- Lin Fan
- Cheng Yu
- Lianglong Chen
1 Application
| Application ID | Title |
|---|---|
| 216062 | Unraveling the complex interplay of environmental factors, lifestyle, and biomarkers on aging-related diseases and major adverse cardiac events |
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