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Updated: Sep 29, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Secular trends in prevalent mild cognitive impairment: Data from the Swedish population-based study Good Aging in
Marieclaire Overton1, Mats Pihlsgård2, Sölve Elmståhl1
1Division of Geriatric Medicine Department of Clinical Sciences in Malmö Lund University Skåne University Hospital Malmö Sweden.
Background:
Research suggests that incident dementia is decreasing, yet research on secular trends of prodromal dementia such as mild cognitive impairment (MCI) is lacking.
Methods:
To determine change of MCI prevalence over time and potential explanatory factors, four baseline samples (years 2001-2020) of Swedish participants (n = 3910) aged 60 and 81 at examination were compared.
Results:
An overall drop of 9 to 10 percentage points in MCI prevalence between 2001 and 2020 was observed, with lower odds ratios (OR) for MCI in the latest birth cohorts compared to earliest (e.g., ORs for 60-year-olds in latest born = 0.53; 95% confidence interval [CI] 0.37-0.76). Adjustments for sociodemographic (e.g., education), lifestyle, vascular and metabolic health and depression could not fully explain the observed MCI decline (e.g., 60-year-olds, OR = 0.59; 95% CI 0.40-0.88).
Discussion:
Studies like this are imperative as even a slight postponement in the onset of dementia could have a substantial impact on future public health burden.
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