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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     = {INTRODUCTIONEffective 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.METHODSWe 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.RESULTSAn 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.DISCUSSIONOur 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
                      $strategies.Highlights36\%$ 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.},
      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},
      doi          = {10.1002/dad2.70225},
      url          = {https://pub.dzne.de/record/282541},
}