Abstract
Background:
The Triglyceride-glucose (TyG) index is a marker for insulin resistance and metabolic syndrome, while Helicobacter pylori is linked to gastrointestinal diseases and may affect metabolic risks. This study examined the association between the TyG index and H. pylori infection in adults.
Methods:
Data from 3797 participants in the NHANES 1999-2000 cycle were analyzed. The relationship between the TyG index and H. pylori infection was assessed using multivariate logistic regression and a two-piecewise logistic model to explore non-linear effects. Subgroup analyses were conducted based on age, sex, glucose levels, BMI, and CKD.
Results:
A linear association between the TyG index and H. pylori infection was found. Subgroup analyses revealed significant interactions with a few variables.
Conclusions:
This study indicates a linear relationship between the TyG index and H. pylori infection, suggesting metabolic influences on H. pylori infection and potential for targeted interventions in at-risk groups.
Copyright: © 2025 Fu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
MeSH terms
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Adult
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Aged
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Blood Glucose* / analysis
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Blood Glucose* / metabolism
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Cross-Sectional Studies
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Female
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Helicobacter Infections* / blood
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Helicobacter Infections* / complications
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Helicobacter Infections* / epidemiology
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Helicobacter pylori*
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Humans
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Male
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Middle Aged
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Nutrition Surveys
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Retrospective Studies
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Triglycerides* / blood
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United States / epidemiology
Substances
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Triglycerides
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Blood Glucose
Grants and funding
This work was supported by National Natural Science Foundation of China (Grant No. 82373270),Guizhou Provincial Department of Science and Technology Natural Science Foundation (No Foundation-ZK[2022]), Guizhou Provincial Health Commission Science and Technology Fund (No.gzwkj2023-135), and Science Foundation of 925th hospital (No. 2023[3]), (No. 2022[3/4]). As the principal investigator, Wei Fu, supported by various funding sources, Junlong Zhao, funded by the National Natural Science Foundation of China (Grant No. 82373270), and Liang-Bi Xu, funded by the Guizhou Provincial Department of Science and Technology Natural Science Foundation (No Foundation-ZK[2022]) were involved in the research. Wei Fu was responsible for the conceptualization and design, data curation, and drafting of the original manuscript, while Junlong Zhao played a key role in methodology, formal analysis, and investigation.