Roger D. Newman-Norlund, Santosh Kudaravalli, Anwar T. Merchant, Julius Fridriksson, Chris Rorden
{"title":"探索健康老龄化背景下牙齿脱落、认知功能和大脑健康之间的联系。","authors":"Roger D. Newman-Norlund, Santosh Kudaravalli, Anwar T. Merchant, Julius Fridriksson, Chris Rorden","doi":"10.1111/jre.13280","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Aims</h3>\n \n <p>The aim of this study was to evaluate the utility of using MRI-derived tooth count, an indirect and nonspecific indicator of oral/periodontal health, and brain age gap (BAG), an MRI-based measure of premature brain aging, in predicting cognition in a population of otherwise healthy adults.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This retrospective study utilized data from 329 participants from the University of South Carolina's Aging Brain Cohort Repository. Participants underwent neuropsychological testing including the Montreal Cognitive Assessment (MoCA), completed an oral/periodontal health questionnaire, and submitted to high-resolution structural MRI imaging. The study compared variability on cognitive scores (MoCA) accounted for by MRI-derived BAG, MRI-derived total tooth count, and self-reported oral/periodontal health.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>We report a significant positive correlation between the total number of teeth and MoCA total scores after controlling for age, sex, and race, indicating a robust relationship between tooth count and cognition, <i>r</i>(208) = .233, <i>p</i> < .001. In a subsample of participants identified as being at risk for MCI (MoCA <= 25, <i>N</i> = 36) inclusion of MRI-based tooth count resulted in an <i>R</i><sup>2</sup> change of .192 (<i>H</i><sub>0</sub> = 0.138 → <i>H</i><sub>1</sub> = 0.330), <i>F</i>(1,31) = 8.86, <i>p</i> = .006. Notably, inclusion of BAG, a valid and reliable measure of overall brain health, did not significantly improve prediction of MoCA scores in similar linear regression models.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Our data support the idea that inclusion of MRI-based total tooth count may enhance the ability to predict clinically meaningful differences in cognitive abilities in healthy adults. This study contributes to the growing body of evidence linking oral/periodontal health with cognitive function.</p>\n </section>\n </div>","PeriodicalId":16715,"journal":{"name":"Journal of periodontal research","volume":"59 6","pages":"1184-1194"},"PeriodicalIF":3.4000,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11626696/pdf/","citationCount":"0","resultStr":"{\"title\":\"Exploring the link between tooth loss, cognitive function, and brain wellness in the context of healthy aging\",\"authors\":\"Roger D. Newman-Norlund, Santosh Kudaravalli, Anwar T. Merchant, Julius Fridriksson, Chris Rorden\",\"doi\":\"10.1111/jre.13280\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Aims</h3>\\n \\n <p>The aim of this study was to evaluate the utility of using MRI-derived tooth count, an indirect and nonspecific indicator of oral/periodontal health, and brain age gap (BAG), an MRI-based measure of premature brain aging, in predicting cognition in a population of otherwise healthy adults.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>This retrospective study utilized data from 329 participants from the University of South Carolina's Aging Brain Cohort Repository. Participants underwent neuropsychological testing including the Montreal Cognitive Assessment (MoCA), completed an oral/periodontal health questionnaire, and submitted to high-resolution structural MRI imaging. The study compared variability on cognitive scores (MoCA) accounted for by MRI-derived BAG, MRI-derived total tooth count, and self-reported oral/periodontal health.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>We report a significant positive correlation between the total number of teeth and MoCA total scores after controlling for age, sex, and race, indicating a robust relationship between tooth count and cognition, <i>r</i>(208) = .233, <i>p</i> < .001. In a subsample of participants identified as being at risk for MCI (MoCA <= 25, <i>N</i> = 36) inclusion of MRI-based tooth count resulted in an <i>R</i><sup>2</sup> change of .192 (<i>H</i><sub>0</sub> = 0.138 → <i>H</i><sub>1</sub> = 0.330), <i>F</i>(1,31) = 8.86, <i>p</i> = .006. Notably, inclusion of BAG, a valid and reliable measure of overall brain health, did not significantly improve prediction of MoCA scores in similar linear regression models.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>Our data support the idea that inclusion of MRI-based total tooth count may enhance the ability to predict clinically meaningful differences in cognitive abilities in healthy adults. This study contributes to the growing body of evidence linking oral/periodontal health with cognitive function.</p>\\n </section>\\n </div>\",\"PeriodicalId\":16715,\"journal\":{\"name\":\"Journal of periodontal research\",\"volume\":\"59 6\",\"pages\":\"1184-1194\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11626696/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of periodontal research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/jre.13280\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"DENTISTRY, ORAL SURGERY & MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of periodontal research","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jre.13280","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
Exploring the link between tooth loss, cognitive function, and brain wellness in the context of healthy aging
Aims
The aim of this study was to evaluate the utility of using MRI-derived tooth count, an indirect and nonspecific indicator of oral/periodontal health, and brain age gap (BAG), an MRI-based measure of premature brain aging, in predicting cognition in a population of otherwise healthy adults.
Methods
This retrospective study utilized data from 329 participants from the University of South Carolina's Aging Brain Cohort Repository. Participants underwent neuropsychological testing including the Montreal Cognitive Assessment (MoCA), completed an oral/periodontal health questionnaire, and submitted to high-resolution structural MRI imaging. The study compared variability on cognitive scores (MoCA) accounted for by MRI-derived BAG, MRI-derived total tooth count, and self-reported oral/periodontal health.
Results
We report a significant positive correlation between the total number of teeth and MoCA total scores after controlling for age, sex, and race, indicating a robust relationship between tooth count and cognition, r(208) = .233, p < .001. In a subsample of participants identified as being at risk for MCI (MoCA <= 25, N = 36) inclusion of MRI-based tooth count resulted in an R2 change of .192 (H0 = 0.138 → H1 = 0.330), F(1,31) = 8.86, p = .006. Notably, inclusion of BAG, a valid and reliable measure of overall brain health, did not significantly improve prediction of MoCA scores in similar linear regression models.
Conclusions
Our data support the idea that inclusion of MRI-based total tooth count may enhance the ability to predict clinically meaningful differences in cognitive abilities in healthy adults. This study contributes to the growing body of evidence linking oral/periodontal health with cognitive function.
期刊介绍：
The Journal of Periodontal Research is an international research periodical the purpose of which is to publish original clinical and basic investigations and review articles concerned with every aspect of periodontology and related sciences. Brief communications (1-3 journal pages) are also accepted and a special effort is made to ensure their rapid publication. Reports of scientific meetings in periodontology and related fields are also published.
One volume of six issues is published annually.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
