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Association of dietary inflammatory index with helicobacter pylori infection and mortality among US population
BACKGROUND: Limited research has been conducted on the potential relationship between the dietary inflammation index (DII) and mortality, particularly in individuals with Helicobacter pylori (H. pylori) infection. This study aimed to investigate the association between the DII and H. pylori infectio...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422799/ https://www.ncbi.nlm.nih.gov/pubmed/37573314 http://dx.doi.org/10.1186/s12967-023-04398-8 |
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author | Xiong, Yu-Jun Du, Lei-Lei Diao, Yun-Lian Wen, Jun Meng, Xiang-Bin Gao, Jun Shao, Chun-Li Wang, Wen-Yao Zhu, Xing-yun Tang, Yi-Da |
author_facet | Xiong, Yu-Jun Du, Lei-Lei Diao, Yun-Lian Wen, Jun Meng, Xiang-Bin Gao, Jun Shao, Chun-Li Wang, Wen-Yao Zhu, Xing-yun Tang, Yi-Da |
author_sort | Xiong, Yu-Jun |
collection | PubMed |
description | BACKGROUND: Limited research has been conducted on the potential relationship between the dietary inflammation index (DII) and mortality, particularly in individuals with Helicobacter pylori (H. pylori) infection. This study aimed to investigate the association between the DII and H. pylori infection, as well as their respective impacts on all-cause mortality in a cohort of individuals with or without H. pylori infection. METHODS: Data from the 1999–2018 National Health and Nutrition Examination Survey (NHANES) were utilized for this study, with a final of 4370 participants included. Both univariable and multivariable-adjusted logistic regression analyses were employed to explore the relationship between H. pylori infection and pertinent covariates. Cox regression analysis, as well as restricted regression cubic spline analysis, were utilized to assess the association between DII and all-cause mortality among individuals with or without H. pylori infection. RESULTS: The findings demonstrated a positive correlation between DII scores and H. pylori infection, even after adjusting for potential confounding factors. Moreover, higher DII scores were significantly associated with an elevated risk of mortality exclusively in individuals with H. pylori infection, while no such association was observed in the uninfected population. Additional analysis using restricted cubic spline modeling revealed a positive linear relationship between DII scores as a continuous variable and the adjusted risk of all-cause mortality specifically in H. pylori-infected patients. CONCLUSION: The results of this study indicated that DII was positively correlated with an increased risk of H. pylori infection and was associated with a heightened risk of all-cause mortality solely in individuals with H. pylori infection. Consequently, DII might serve as a useful tool for risk stratification in the H. pylori-infected population among U.S. adults. Further research is warranted to elucidate the underlying mechanisms and potential clinical implications of these findings. |
format | Online Article Text |
id | pubmed-10422799 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104227992023-08-13 Association of dietary inflammatory index with helicobacter pylori infection and mortality among US population Xiong, Yu-Jun Du, Lei-Lei Diao, Yun-Lian Wen, Jun Meng, Xiang-Bin Gao, Jun Shao, Chun-Li Wang, Wen-Yao Zhu, Xing-yun Tang, Yi-Da J Transl Med Research BACKGROUND: Limited research has been conducted on the potential relationship between the dietary inflammation index (DII) and mortality, particularly in individuals with Helicobacter pylori (H. pylori) infection. This study aimed to investigate the association between the DII and H. pylori infection, as well as their respective impacts on all-cause mortality in a cohort of individuals with or without H. pylori infection. METHODS: Data from the 1999–2018 National Health and Nutrition Examination Survey (NHANES) were utilized for this study, with a final of 4370 participants included. Both univariable and multivariable-adjusted logistic regression analyses were employed to explore the relationship between H. pylori infection and pertinent covariates. Cox regression analysis, as well as restricted regression cubic spline analysis, were utilized to assess the association between DII and all-cause mortality among individuals with or without H. pylori infection. RESULTS: The findings demonstrated a positive correlation between DII scores and H. pylori infection, even after adjusting for potential confounding factors. Moreover, higher DII scores were significantly associated with an elevated risk of mortality exclusively in individuals with H. pylori infection, while no such association was observed in the uninfected population. Additional analysis using restricted cubic spline modeling revealed a positive linear relationship between DII scores as a continuous variable and the adjusted risk of all-cause mortality specifically in H. pylori-infected patients. CONCLUSION: The results of this study indicated that DII was positively correlated with an increased risk of H. pylori infection and was associated with a heightened risk of all-cause mortality solely in individuals with H. pylori infection. Consequently, DII might serve as a useful tool for risk stratification in the H. pylori-infected population among U.S. adults. Further research is warranted to elucidate the underlying mechanisms and potential clinical implications of these findings. BioMed Central 2023-08-12 /pmc/articles/PMC10422799/ /pubmed/37573314 http://dx.doi.org/10.1186/s12967-023-04398-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Xiong, Yu-Jun Du, Lei-Lei Diao, Yun-Lian Wen, Jun Meng, Xiang-Bin Gao, Jun Shao, Chun-Li Wang, Wen-Yao Zhu, Xing-yun Tang, Yi-Da Association of dietary inflammatory index with helicobacter pylori infection and mortality among US population |
title | Association of dietary inflammatory index with helicobacter pylori infection and mortality among US population |
title_full | Association of dietary inflammatory index with helicobacter pylori infection and mortality among US population |
title_fullStr | Association of dietary inflammatory index with helicobacter pylori infection and mortality among US population |
title_full_unstemmed | Association of dietary inflammatory index with helicobacter pylori infection and mortality among US population |
title_short | Association of dietary inflammatory index with helicobacter pylori infection and mortality among US population |
title_sort | association of dietary inflammatory index with helicobacter pylori infection and mortality among us population |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422799/ https://www.ncbi.nlm.nih.gov/pubmed/37573314 http://dx.doi.org/10.1186/s12967-023-04398-8 |
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