Identifying modifiable factors and their joint effect on dementia risk in the UK Biobank
- PMID: 37024724
- DOI: 10.1038/s41562-023-01585-x
Identifying modifiable factors and their joint effect on dementia risk in the UK Biobank
Abstract
Previous hypothesis-driven research has identified many risk factors linked to dementia. However, the multiplicity and co-occurrence of risk factors have been underestimated. Here we analysed data of 344,324 participants from the UK Biobank with 15 yr of follow-up data for 210 modifiable risk factors. We first conducted an exposure-wide association study and then combined factors associated with dementia to generate composite scores for different domains. We then evaluated their joint associations with dementia in a multivariate Cox model. We estimated the potential impact of eliminating the unfavourable profiles of risk domains on dementia using population attributable fraction. The associations varied by domain, with lifestyle (16.6%), medical history (14.0%) and socioeconomic status (13.5%) contributing to the majority of dementia cases. Overall, we estimated that up to 47.0%-72.6% of dementia cases could be prevented.
© 2023. The Author(s), under exclusive licence to Springer Nature Limited.
References
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- Palpatzis, E., Bass, N., Jones, R. & Mukadam, N. Longitudinal association of apolipoprotein E and sleep with incident dementia. Alzheimers Dement. https://doi.org/10.1002/alz.12439 (2021).
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