%0 Journal Article
%A Blotenberg, Iris
%A Thyrian, Jochen René
%T Toward targeted dementia prevention: Population attributable fractions and risk profiles in Germany
%J Alzheimer's & dementia / Diagnosis, assessment & disease monitoring
%V 17
%N 4
%@ 2352-8729
%C Hoboken, NJ
%I Wiley
%M DZNE-2025-01304
%P e70225
%D 2025
%X Effective dementia prevention requires understanding the distribution of modifiable risk factors and identifying high-risk subgroups. We estimated the prevention potential in Germany and identified risk profiles to inform precision public health.We analyzed nationally representative data from the 2023 German Aging Survey (n = 4992). Population attributable fractions and potential impact fractions were computed for established modifiable risk factors. Relative risks were taken from meta-analyses. Latent class analysis identified risk profiles.An estimated 36
%K Alzheimer's disease (Other)
%K cognition (Other)
%K cognitive decline (Other)
%K lifestyle (Other)
%K modifiable risk factors (Other)
%K prevention (Other)
%K risk groups (Other)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:41322376
%2 pmc:PMC12657119
%R 10.1002/dad2.70225
%U https://pub.dzne.de/record/282541