Association between non-insulin-based insulin resistance surrogate makers and Helicobacter pylori infection: a population-based study

非胰岛素类胰岛素抵抗替代指标与幽门螺杆菌感染之间的关联:一项基于人群的研究

阅读:1

Abstract

BACKGROUND: Current evidence on the associations between insulin resistance (IR) and Helicobacter pylori (H. pylori) infection remains limited. This study aimed to investigate the association between non-insulin-based surrogate markers of IR, including the triglyceride glucose (TyG) index, triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, and the metabolic score for IR (METS-IR), and H. pylori infection in U.S. METHODS: This cross-sectional study involving 939 U.S. participants from the National Health and Nutrition Examination Survey (NHANES) 1999-2000. The associations between three IR surrogate markers and H. pylori infection were respectively investigated using logistic regression model, restricted cubic spline (RCS) curve and subgroup analysis. RESULTS: Three IR surrogate markers levels were significantly elevated in H. pylori infection participants. There was a positive association between three IR surrogate markers and H. pylori infection, even after adjusting for potential confounding variables by three different models. In subgroup analysis, the adjusted association between three IR surrogate markers and H. pylori infection were more likely to be observed in female and Non-Hispanic White. Additionally, the RCS curve revealed a positive linear correlation between TyG index and H. pylori infection across all three models, and between METS-IR and H. pylori infection in Model 3. However, a positive nonlinear correlation was observed between TG/HDL-C ratio and H. pylori infection in all three models. CONCLUSIONS: These findings suggest that non-insulin-based IR surrogate markers including TyG index, TG/HDL-C ratio, and METS-IR were all positively associated with H. pylori infection. These markers may serve as the potential indicators for identifying the risk of H. pylori infection in U.S. CLINICAL TRIAL NUMBER: Not applicable.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。