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Characterising the covariance pattern between lifestyle factors and structural brain measures: a multivariable replication study of two independent ageing cohorts

Abstract:
Modifiable lifestyle factors have been shown to promote healthy brain ageing. However, most studies to date have focused on one factor at a time. Given that lifestyle factors do not occur in isolation, multivariable analyses may provide a more realistic model of the impact of modifiable lifestyle factors on brain ageing. We examined the relationship between nine lifestyle factors and seven MRI-derived indices of brain structure using canonical correlation analysis (CCA). The resulting covariance pattern was then explored with Bayesian regressions. CCA analyses were first completed in a Danish cohort of older adults (n = 251) and then replicated in an independent cohort from the United Kingdom (n = 668). In both cohorts, the latent lifestyle factors were positively associated with the latent structural brain measures (UK: r = 0.37, p < 0.001; Denmark: r = 0.27, p < 0.001). In the cross-validation study, the correlation between lifestyle-brain latent factors was r = 0.10, p = 0.008. However, the pattern of univariate associations differed between datasets. Taken together, these findings suggest that lifestyle interventions would benefit from baseline characterisation and tailoring towards the study sample.
Publication status:
Not published
Peer review status:
Not peer reviewed

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Publisher copy:
10.2139/ssrn.4360651

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
Psychiatry
Oxford college:
Linacre College
Role:
Author
ORCID:
0000-0002-5190-7038


Journal:
SSRN More from this journal
Article number:
4360651
Publication date:
2023-03-08
DOI:


Language:
English
Keywords:
Pubs id:
1331858
Local pid:
pubs:1331858
Deposit date:
2023-03-08

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