Toward targeted dementia prevention: Population attributable fractions and risk profiles in Germany.

ABSTRACT:

Introduction

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.

Methods

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.

Results

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

SUBMITTER: Blotenberg I 

PROVIDER: S-EPMC12657119 | biostudies-literature | 2025 Oct-Dec

REPOSITORIES: biostudies-literature