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Tea intake or consumption and the risk of dementia: a meta-analysis of prospective cohort studies

PURPOSE: Dementia affects as many as 130 million people, which presents a significant and growing medical burden globally. This meta-analysis aims to assess whether tea intake, tea consumption can reduce the risk of dementia, Alzheimer’s disease (AD) and Vascular dementia (VD). PATIENTS AND METHODS:...

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Autores principales: Jiang, Ning, Ma, Jinlong, Wang, Qian, Xu, Yuzhen, Wei, Baojian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10361076/
https://www.ncbi.nlm.nih.gov/pubmed/37483967
http://dx.doi.org/10.7717/peerj.15688
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author Jiang, Ning
Ma, Jinlong
Wang, Qian
Xu, Yuzhen
Wei, Baojian
author_facet Jiang, Ning
Ma, Jinlong
Wang, Qian
Xu, Yuzhen
Wei, Baojian
author_sort Jiang, Ning
collection PubMed
description PURPOSE: Dementia affects as many as 130 million people, which presents a significant and growing medical burden globally. This meta-analysis aims to assess whether tea intake, tea consumption can reduce the risk of dementia, Alzheimer’s disease (AD) and Vascular dementia (VD). PATIENTS AND METHODS: Cochrane Library, PubMed and Embase were searched for cohort studies from inception to November 1, 2022. The Newcastle Ottawa Quality Assessment Scale (NOS) was applied to evaluate the risk of bias of the included studies. We extracted the data as the relative risks (RRs) for the outcome of the interest, and conducted the meta-analysis utilizing the random effect model due to the certain heterogeneity. Sensitivity analysis were performed by moving one study at a time, Subgroup-analysis was carried out according to different ages and dementia types. And the funnel plots based on Egger’s and Begger’s regression tests were used to evaluate publication bias. All statistical analyses were performed using Stata statistical software version 14.0 and R studio version 4.2.0. RESULTS: Seven prospective cohort studies covering 410,951 individuals, which were published from 2009 and 2022 were included in this meta-analysis. The methodological quality of these studies was relatively with five out of seven being of high quality and the remaining being of moderate. The pooling analysis shows that the relationship between tea intake or consumption is associated with a reduced risk of all-cause dementia (RR = 0.71, 95% CI [0.57–0.88], I(2) = 79.0%, p < 0.01). Further, the subgroup-analysis revealed that tea intake or consumption is associated with a reduced risk of AD (RR = 0.88, 95% CI [0.79–0.99], I(2) = 52.6%, p = 0.024) and VD (RR = 0.75, 95% CI [0.66–0.85], I = 0.00%, p < 0.001). Lastly, tea intake or consumption could reduce the risk of all-cause dementia to a greater degree among populations with less physical activity, older age, APOE carriers, and smokers. CONCLUSION: Our meta-analysis demonstrated that tea (green tea or black tea) intake or consumption is associated with a significant reduction in the risk of dementia, AD or VD. These findings provide evidence that tea intake or consumption should be recognized as an independent protective factor against the onset of dementia, AD or VD.
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spelling pubmed-103610762023-07-22 Tea intake or consumption and the risk of dementia: a meta-analysis of prospective cohort studies Jiang, Ning Ma, Jinlong Wang, Qian Xu, Yuzhen Wei, Baojian PeerJ Biochemistry PURPOSE: Dementia affects as many as 130 million people, which presents a significant and growing medical burden globally. This meta-analysis aims to assess whether tea intake, tea consumption can reduce the risk of dementia, Alzheimer’s disease (AD) and Vascular dementia (VD). PATIENTS AND METHODS: Cochrane Library, PubMed and Embase were searched for cohort studies from inception to November 1, 2022. The Newcastle Ottawa Quality Assessment Scale (NOS) was applied to evaluate the risk of bias of the included studies. We extracted the data as the relative risks (RRs) for the outcome of the interest, and conducted the meta-analysis utilizing the random effect model due to the certain heterogeneity. Sensitivity analysis were performed by moving one study at a time, Subgroup-analysis was carried out according to different ages and dementia types. And the funnel plots based on Egger’s and Begger’s regression tests were used to evaluate publication bias. All statistical analyses were performed using Stata statistical software version 14.0 and R studio version 4.2.0. RESULTS: Seven prospective cohort studies covering 410,951 individuals, which were published from 2009 and 2022 were included in this meta-analysis. The methodological quality of these studies was relatively with five out of seven being of high quality and the remaining being of moderate. The pooling analysis shows that the relationship between tea intake or consumption is associated with a reduced risk of all-cause dementia (RR = 0.71, 95% CI [0.57–0.88], I(2) = 79.0%, p < 0.01). Further, the subgroup-analysis revealed that tea intake or consumption is associated with a reduced risk of AD (RR = 0.88, 95% CI [0.79–0.99], I(2) = 52.6%, p = 0.024) and VD (RR = 0.75, 95% CI [0.66–0.85], I = 0.00%, p < 0.001). Lastly, tea intake or consumption could reduce the risk of all-cause dementia to a greater degree among populations with less physical activity, older age, APOE carriers, and smokers. CONCLUSION: Our meta-analysis demonstrated that tea (green tea or black tea) intake or consumption is associated with a significant reduction in the risk of dementia, AD or VD. These findings provide evidence that tea intake or consumption should be recognized as an independent protective factor against the onset of dementia, AD or VD. PeerJ Inc. 2023-07-18 /pmc/articles/PMC10361076/ /pubmed/37483967 http://dx.doi.org/10.7717/peerj.15688 Text en © 2023 Jiang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Biochemistry
Jiang, Ning
Ma, Jinlong
Wang, Qian
Xu, Yuzhen
Wei, Baojian
Tea intake or consumption and the risk of dementia: a meta-analysis of prospective cohort studies
title Tea intake or consumption and the risk of dementia: a meta-analysis of prospective cohort studies
title_full Tea intake or consumption and the risk of dementia: a meta-analysis of prospective cohort studies
title_fullStr Tea intake or consumption and the risk of dementia: a meta-analysis of prospective cohort studies
title_full_unstemmed Tea intake or consumption and the risk of dementia: a meta-analysis of prospective cohort studies
title_short Tea intake or consumption and the risk of dementia: a meta-analysis of prospective cohort studies
title_sort tea intake or consumption and the risk of dementia: a meta-analysis of prospective cohort studies
topic Biochemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10361076/
https://www.ncbi.nlm.nih.gov/pubmed/37483967
http://dx.doi.org/10.7717/peerj.15688
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