Association of multimorbidity and disease clusters with neuroimaging and cognitive outcomes in UK Biobank.

IF 4.3 Q2 BUSINESS
Shehab Uddin Al Abid, Catherine M Calvin, Danial Qureshi, Michele Veldsman, Elżbieta Kuźma, Thomas J Littlejohns
{"title":"Association of multimorbidity and disease clusters with neuroimaging and cognitive outcomes in UK Biobank.","authors":"Shehab Uddin Al Abid, Catherine M Calvin, Danial Qureshi, Michele Veldsman, Elżbieta Kuźma, Thomas J Littlejohns","doi":"10.1016/j.tjpad.2025.100208","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The relationship between multimorbidity, particularly disease clusters, with neuroimaging and cognitive outcomes that typically manifest prior to clinical diagnosis of dementia, remains understudied. This study investigated whether multimorbidity is associated with dementia-related neuroimaging and cognitive outcomes in the UK Biobank cohort.</p><p><strong>Methods: </strong>This cross-sectional study used data from UK Biobank participants who attended imaging assessments between 2014-2023, and were free from neurological conditions, including dementia. Multimorbidity was defined as the coexistence of two or more long-term conditions, selected from a standardised criteria of 39 conditions. Latent class analyses were used to identify disease clusters. Neuroimaging outcomes were measured using magnetic resonance imaging, and cognition was assessed by seven tests measuring different cognitive domains. Multivariable linear regression was used to assess the association between multimorbidity and disease clusters with neuroimaging and cognitive outcomes.</p><p><strong>Results: </strong>A total of 43,160 participants were included (mean [standard deviation] age, 64.2 [7.7] years, 53.1 % female). Multimorbidity was present among 14,339 (33.2 %) participants, and was associated with reduced grey matter volume, total brain volume, left hippocampal volume, increased cerebrovascular pathology as well as reduced domain-specific cognitive function. A strong dose-response relationship was observed with the increasing number of multimorbid conditions across these outcomes. A disease cluster driven by cardiometabolic conditions was consistently associated with poorer brain health across all outcomes. Disease clusters driven by respiratory, mental health and other conditions showed less consistent associations.</p><p><strong>Conclusions: </strong>Multimorbidity was strongly associated with poorer brain health, particularly within the cardiometabolic disease cluster. Given that UK Biobank participants are, on average, healthier than the general population, future studies in more diverse and representative cohorts would be valuable.</p>","PeriodicalId":22711,"journal":{"name":"The Journal of Prevention of Alzheimer's Disease","volume":" ","pages":"100208"},"PeriodicalIF":4.3000,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Prevention of Alzheimer's Disease","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.tjpad.2025.100208","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

Abstract

Background: The relationship between multimorbidity, particularly disease clusters, with neuroimaging and cognitive outcomes that typically manifest prior to clinical diagnosis of dementia, remains understudied. This study investigated whether multimorbidity is associated with dementia-related neuroimaging and cognitive outcomes in the UK Biobank cohort.

Methods: This cross-sectional study used data from UK Biobank participants who attended imaging assessments between 2014-2023, and were free from neurological conditions, including dementia. Multimorbidity was defined as the coexistence of two or more long-term conditions, selected from a standardised criteria of 39 conditions. Latent class analyses were used to identify disease clusters. Neuroimaging outcomes were measured using magnetic resonance imaging, and cognition was assessed by seven tests measuring different cognitive domains. Multivariable linear regression was used to assess the association between multimorbidity and disease clusters with neuroimaging and cognitive outcomes.

Results: A total of 43,160 participants were included (mean [standard deviation] age, 64.2 [7.7] years, 53.1 % female). Multimorbidity was present among 14,339 (33.2 %) participants, and was associated with reduced grey matter volume, total brain volume, left hippocampal volume, increased cerebrovascular pathology as well as reduced domain-specific cognitive function. A strong dose-response relationship was observed with the increasing number of multimorbid conditions across these outcomes. A disease cluster driven by cardiometabolic conditions was consistently associated with poorer brain health across all outcomes. Disease clusters driven by respiratory, mental health and other conditions showed less consistent associations.

Conclusions: Multimorbidity was strongly associated with poorer brain health, particularly within the cardiometabolic disease cluster. Given that UK Biobank participants are, on average, healthier than the general population, future studies in more diverse and representative cohorts would be valuable.

英国生物库中多病和疾病群与神经影像学和认知结果的关联。
背景:多病,特别是疾病集群,与痴呆临床诊断前典型表现的神经影像学和认知结果之间的关系仍未得到充分研究。本研究在英国生物银行队列中调查了多发病是否与痴呆相关的神经影像学和认知结果相关。方法:这项横断面研究使用了2014-2023年英国生物银行参与者的数据,这些参与者参加了影像学评估,没有神经系统疾病,包括痴呆。多重发病被定义为两种或两种以上长期疾病的共存,从39种标准条件中选择。潜在分类分析用于识别疾病聚集。神经成像结果通过磁共振成像测量,认知能力通过七种不同认知领域的测试进行评估。多变量线性回归用于评估多病和疾病群与神经影像学和认知结果之间的关系。结果:共纳入43,160名参与者(平均[标准差]年龄64.2[7.7]岁,53.1%为女性)。14339名(33.2%)参与者中存在多病,并与灰质体积、总脑体积、左海马体积减少、脑血管病理增加以及特定领域认知功能降低有关。在这些结果中,随着多病条件数量的增加,观察到强烈的剂量-反应关系。在所有结果中,由心脏代谢状况驱动的疾病群始终与较差的大脑健康相关。由呼吸系统、心理健康和其他状况驱动的疾病集群显示出不太一致的关联。结论:多病与较差的大脑健康密切相关,特别是在心脏代谢疾病群中。考虑到英国生物银行的参与者平均比一般人群更健康,未来在更多样化和更具代表性的人群中进行的研究将是有价值的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
The Journal of Prevention of Alzheimer's Disease
The Journal of Prevention of Alzheimer's Disease Medicine-Psychiatry and Mental Health
CiteScore
9.20
自引率
0.00%
发文量
0
期刊介绍: The JPAD Journal of Prevention of Alzheimer’Disease will publish reviews, original research articles and short reports to improve our knowledge in the field of Alzheimer prevention including: neurosciences, biomarkers, imaging, epidemiology, public health, physical cognitive exercise, nutrition, risk and protective factors, drug development, trials design, and heath economic outcomes.JPAD will publish also the meeting abstracts from Clinical Trial on Alzheimer Disease (CTAD) and will be distributed both in paper and online version worldwide.We hope that JPAD with your contribution will play a role in the development of Alzheimer prevention.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信