Association of a wide range of individual chronic diseases and their multimorbidity with brain volumes in the UK Biobank: A cross-sectional study.

ABSTRACT:

Background

Little is known regarding associations of conventional and emerging diseases and their multimorbidity with brain volumes.

Methods

This cross-sectional study included 36,647 European ancestry individuals aged 44-81 years with brain magnetic resonance imaging data from UK Biobank. Brain volumes were measured between 02 May 2014 and 31 October 2019. General linear regression models were used to associate 57 individual major diseases with brain volumes. Latent class analysis was used to identify multimorbidity patterns. A multimorbidity score for brain volumes was computed based on the estimates for individual groups of diseases.

Findings

Out of 57 major diseases, 16 were associated with smaller volumes of total brain, 14 with smaller volumes of grey matter, an

SUBMITTER: Shang X 

PROVIDER: S-EPMC9065617 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature