Artikel ; Online: Identifying modifiable factors and their joint effect on dementia risk in the UK Biobank.
Nature human behaviour
2023 Band 7, Heft 7, Seite(n) 1185–1195
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 ...
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. |
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Mesh-Begriff(e) | Humans ; Dementia/epidemiology ; Dementia/etiology ; Dementia/prevention & control ; Biological Specimen Banks ; Risk Factors ; Life Style ; United Kingdom/epidemiology |
Sprache | Englisch |
Erscheinungsdatum | 2023-04-06 |
Erscheinungsland | England |
Dokumenttyp | Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural |
ISSN | 2397-3374 |
ISSN (online) | 2397-3374 |
DOI | 10.1038/s41562-023-01585-x |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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