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Dietary copper intake and the prevalence of kidney stones among adult in the United States: A propensity score matching study

BACKGROUND: Trace metals are essential trace elements for the human body, but insufficient or excessive levels of metal ions can lead to the development of disease. The purpose of this study was to examine the relationship between dietary intake of copper and the prevalence of kidney stones in U.S....

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Autores principales: Zhu, Weidong, Wang, Chunying, Wu, Jianping, Chen, Shuqiu, Mao, Weipu, Chen, Yu, Chen, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9469499/
https://www.ncbi.nlm.nih.gov/pubmed/36111192
http://dx.doi.org/10.3389/fpubh.2022.973887
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author Zhu, Weidong
Wang, Chunying
Wu, Jianping
Chen, Shuqiu
Mao, Weipu
Chen, Yu
Chen, Ming
author_facet Zhu, Weidong
Wang, Chunying
Wu, Jianping
Chen, Shuqiu
Mao, Weipu
Chen, Yu
Chen, Ming
author_sort Zhu, Weidong
collection PubMed
description BACKGROUND: Trace metals are essential trace elements for the human body, but insufficient or excessive levels of metal ions can lead to the development of disease. The purpose of this study was to examine the relationship between dietary intake of copper and the prevalence of kidney stones in U.S. adult population. METHODS: We included data on dietary intake of trace metals from 28,623 adult participants in the National Health and Nutrition Examination Survey (NHANES) database between 2007 and 2018. Multivariate logistic regression and restricted cubic spline (RCS) dose-response curves were used to explore the association between trace metals and kidney stones, and 1:1 propensity score matching (PSM) was performed between the stone formers and non-stone formers to test the validity of the results. RESULTS: Dose-response curves showed a non-linear negative association between dietary copper intake and kidney stones, and an increase in copper intake reduced the risk of kidney stones. Multivariate logistic regression analysis showed that the odds ratio (95% confidence interval) for kidney stones in each quartile of copper intake compared to the lowest quartile were 0.905 (0.808–1.011, p = 0.075), 0.880 (0.785–0.987, p = 0.028) and 0.853 (0.756–0.959, p = 0.009). In addition, similar conclusions were reached after analysis of PSM in the stone formers and non-stone formers groups. CONCLUSION: Dietary copper intake was negatively and non-linearly correlated with kidney stones, which is worthy of further research and application in clinical practice.
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spelling pubmed-94694992022-09-14 Dietary copper intake and the prevalence of kidney stones among adult in the United States: A propensity score matching study Zhu, Weidong Wang, Chunying Wu, Jianping Chen, Shuqiu Mao, Weipu Chen, Yu Chen, Ming Front Public Health Public Health BACKGROUND: Trace metals are essential trace elements for the human body, but insufficient or excessive levels of metal ions can lead to the development of disease. The purpose of this study was to examine the relationship between dietary intake of copper and the prevalence of kidney stones in U.S. adult population. METHODS: We included data on dietary intake of trace metals from 28,623 adult participants in the National Health and Nutrition Examination Survey (NHANES) database between 2007 and 2018. Multivariate logistic regression and restricted cubic spline (RCS) dose-response curves were used to explore the association between trace metals and kidney stones, and 1:1 propensity score matching (PSM) was performed between the stone formers and non-stone formers to test the validity of the results. RESULTS: Dose-response curves showed a non-linear negative association between dietary copper intake and kidney stones, and an increase in copper intake reduced the risk of kidney stones. Multivariate logistic regression analysis showed that the odds ratio (95% confidence interval) for kidney stones in each quartile of copper intake compared to the lowest quartile were 0.905 (0.808–1.011, p = 0.075), 0.880 (0.785–0.987, p = 0.028) and 0.853 (0.756–0.959, p = 0.009). In addition, similar conclusions were reached after analysis of PSM in the stone formers and non-stone formers groups. CONCLUSION: Dietary copper intake was negatively and non-linearly correlated with kidney stones, which is worthy of further research and application in clinical practice. Frontiers Media S.A. 2022-08-30 /pmc/articles/PMC9469499/ /pubmed/36111192 http://dx.doi.org/10.3389/fpubh.2022.973887 Text en Copyright © 2022 Zhu, Wang, Wu, Chen, Mao, Chen and Chen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Zhu, Weidong
Wang, Chunying
Wu, Jianping
Chen, Shuqiu
Mao, Weipu
Chen, Yu
Chen, Ming
Dietary copper intake and the prevalence of kidney stones among adult in the United States: A propensity score matching study
title Dietary copper intake and the prevalence of kidney stones among adult in the United States: A propensity score matching study
title_full Dietary copper intake and the prevalence of kidney stones among adult in the United States: A propensity score matching study
title_fullStr Dietary copper intake and the prevalence of kidney stones among adult in the United States: A propensity score matching study
title_full_unstemmed Dietary copper intake and the prevalence of kidney stones among adult in the United States: A propensity score matching study
title_short Dietary copper intake and the prevalence of kidney stones among adult in the United States: A propensity score matching study
title_sort dietary copper intake and the prevalence of kidney stones among adult in the united states: a propensity score matching study
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9469499/
https://www.ncbi.nlm.nih.gov/pubmed/36111192
http://dx.doi.org/10.3389/fpubh.2022.973887
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