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@ARTICLE{Blotenberg:282541,
      author       = {Blotenberg, Iris and Thyrian, Jochen René},
      title        = {{T}oward targeted dementia prevention: {P}opulation
                      attributable fractions and risk profiles in {G}ermany},
      journal      = {Alzheimer's $\&$ dementia / Diagnosis, assessment $\&$
                      disease monitoring},
      volume       = {17},
      number       = {4},
      issn         = {2352-8729},
      address      = {Hoboken, NJ},
      publisher    = {Wiley},
      reportid     = {DZNE-2025-01304},
      pages        = {e70225},
      year         = {2025},
      abstract     = {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 $36\%$ of dementia
                      cases in Germany are attributable to modifiable risk
                      factors. Reducing their prevalence by $15\%-30\%$ could
                      prevent 170,000-330,000 cases by 2050. We identified four
                      risk profiles-metabolic, sensory impairment, alcohol, and
                      lower-risk-each associated with demographic and regional
                      characteristics.Our findings highlight considerable national
                      prevention potential and reveal population subgroups with
                      shared risk patterns. These profiles provide a foundation
                      for designing targeted, equitable, and efficient dementia
                      prevention $strategies.36\%$ of dementia cases in Germany
                      are linked to modifiable risk factors.A $15\%$ reduction in
                      risk factor prevalence could prevent 170,000 cases by
                      2050.Key contributors: depression, hearing loss, low
                      education, and obesity.Data-driven risk profiles identified
                      (e.g., metabolic, sensory, low-risk).Risk profiles strongly
                      associated with sociodemographic characteristics.},
      keywords     = {Alzheimer's disease (Other) / cognition (Other) / cognitive
                      decline (Other) / lifestyle (Other) / modifiable risk
                      factors (Other) / prevention (Other) / risk groups (Other)},
      cin          = {AG Thyrian},
      ddc          = {610},
      cid          = {I:(DE-2719)1510800},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:41322376},
      pmc          = {pmc:PMC12657119},
      doi          = {10.1002/dad2.70225},
      url          = {https://pub.dzne.de/record/282541},
}