| Title: | Identifying modifiable factors and their joint effect on dementia risk in the UK Biobank |
| Journal: | Nature Human Behaviour |
| Published: | 6 Apr 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/37024724/ |
| DOI: | https://doi.org/10.1038/s41562-023-01585-x |
| Citations: | 21 (21 in last 2 years) as of 8 Aug 2024 |
Publication 11310
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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.</p>
15 Authors
- Yi Zhang
- Shi-Dong Chen
- Yue-Ting Deng
- Jia You
- Xiao-Yu He
- Xin-Rui Wu
- Bang-Sheng Wu
- Liu Yang
- Ya-Ru Zhang
- Kevin Kuo
- Jian-Feng Feng
- Wei Cheng
- John Suckling
- A. David Smith
- Jin-Tai Yu
1 Application
| Application ID | Title |
|---|---|
| 19542 | Identifying multi-level biomarkers and disease mechanisms for major mental disorders |
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