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Article: The association between tooth loss and cognitive decline in the aged population: The mediating role of HDL-cholesterol

TitleThe association between tooth loss and cognitive decline in the aged population: The mediating role of HDL-cholesterol
Authors
KeywordsCognitive function
High-density lipoprotein cholesterol
Lipid metabolism
Tooth loss
Issue Date1-Aug-2023
PublisherElsevier
Citation
Journal of Dentistry, 2023, v. 135 How to Cite?
Abstract

Objective

Tooth loss and its impact on cognitive impairment have become a heated topic over the past decade as the global population continues to age. Despite the proliferation of research in this area, the underlying mechanism linking tooth loss and cognitive decline remains poorly understood. Limited investigation has been conducted to explore the potential role of lipid metabolism and its impact on the association between tooth loss and cognitive function. This study endeavored to identify the role of high-density lipoprotein cholesterol (HDL-C) concentration among older adults and its contribution to the link between tooth loss and cognitive impairment.

Methods

Data were retrieved from a public database, namely, the National Health and Nutrition Examination Survey (NHANES). Among 1,124 included participants who were aged above 60 years old, linear regression was performed to determine the association between tooth loss (moderate and severe tooth loss) and cognitive function [Consortium to Establish a Registry for Alzheimer's Disease-Immediate Recall (CERAD-IR), Delayed Recall (CERAD-DR), Animal Fluency Test (AFT), and Digit Symbol Substitution Test (DSST)]. Mediation analysis was used to test the effect of HDL-C on the association of tooth numbers and four cognitive tests.

Results

Participants with moderate and severe tooth loss had lower scores on cognitive performance (p<0.001) and lower levels of HDL-C (p<0.05). The HDL-C levels were highly correlated with CERAD-IR and DSST, which mediated 2.11% to 5.24% of the total effect between tooth numbers and cognitive function.

Conclusion

Tooth loss was negatively associated with cognitive function which was mediated by serum HDL-C levels.


Persistent Identifierhttp://hdl.handle.net/10722/332224
ISSN
2021 Impact Factor: 4.991
2020 SCImago Journal Rankings: 1.504

 

DC FieldValueLanguage
dc.contributor.authorChen, HM-
dc.contributor.authorLi, KY-
dc.contributor.authorLi, TL-
dc.contributor.authorKwong, E-
dc.contributor.authorWong, GHY-
dc.contributor.authorMcGrath, C-
dc.contributor.authorChen, H-
dc.date.accessioned2023-10-04T07:21:02Z-
dc.date.available2023-10-04T07:21:02Z-
dc.date.issued2023-08-01-
dc.identifier.citationJournal of Dentistry, 2023, v. 135-
dc.identifier.issn0300-5712-
dc.identifier.urihttp://hdl.handle.net/10722/332224-
dc.description.abstract<h3>Objective</h3><p><a href="https://www.sciencedirect.com/topics/medicine-and-dentistry/edentulism" title="Learn more about Tooth loss from ScienceDirect's AI-generated Topic Pages">Tooth loss</a> and its impact on <a href="https://www.sciencedirect.com/topics/medicine-and-dentistry/cognitive-defect" title="Learn more about cognitive impairment from ScienceDirect's AI-generated Topic Pages">cognitive impairment</a> have become a heated topic over the past decade as the global population continues to age. Despite the proliferation of research in this area, the underlying mechanism linking tooth loss and cognitive decline remains poorly understood. Limited investigation has been conducted to explore the potential role of <a href="https://www.sciencedirect.com/topics/medicine-and-dentistry/lipid-metabolism" title="Learn more about lipid metabolism from ScienceDirect's AI-generated Topic Pages">lipid metabolism</a> and its impact on the association between tooth loss and cognitive function. This study endeavored to identify the role of high-density lipoprotein cholesterol (HDL-C) concentration among older adults and its contribution to the link between tooth loss and <a href="https://www.sciencedirect.com/topics/medicine-and-dentistry/cognitive-defect" title="Learn more about cognitive impairment from ScienceDirect's AI-generated Topic Pages">cognitive impairment</a>.</p><h3>Methods</h3><p>Data were retrieved from a public database, namely, the National Health and Nutrition Examination Survey (NHANES). Among 1,124 included participants who were aged above 60 years old, <a href="https://www.sciencedirect.com/topics/medicine-and-dentistry/linear-regression-analysis" title="Learn more about linear regression from ScienceDirect's AI-generated Topic Pages">linear regression</a> was performed to determine the association between tooth loss (moderate and severe tooth loss) and cognitive function [Consortium to Establish a Registry for Alzheimer's Disease-Immediate Recall (CERAD-IR), Delayed Recall (CERAD-DR), Animal Fluency Test (AFT), and Digit Symbol Substitution Test (DSST)]. Mediation analysis was used to test the effect of HDL-C on the association of tooth numbers and four cognitive tests.</p><h3>Results</h3><p>Participants with moderate and severe tooth loss had lower scores on cognitive performance (<em>p</em><0.001) and lower levels of HDL-C (<em>p</em><0.05). The HDL-C levels were highly correlated with CERAD-IR and DSST, which mediated 2.11% to 5.24% of the total effect between tooth numbers and cognitive function.</p><h3>Conclusion</h3><p><a href="https://www.sciencedirect.com/topics/medicine-and-dentistry/edentulism" title="Learn more about Tooth loss from ScienceDirect's AI-generated Topic Pages">Tooth loss</a> was negatively associated with cognitive function which was mediated by serum HDL-C levels.</p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofJournal of Dentistry-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCognitive function-
dc.subjectHigh-density lipoprotein cholesterol-
dc.subjectLipid metabolism-
dc.subjectTooth loss-
dc.titleThe association between tooth loss and cognitive decline in the aged population: The mediating role of HDL-cholesterol-
dc.typeArticle-
dc.identifier.doi10.1016/j.jdent.2023.104570-
dc.identifier.scopuseid_2-s2.0-85161820714-
dc.identifier.volume135-
dc.identifier.issnl0300-5712-

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