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Updated: May 17, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Prevalence and characteristics of mild cognitive impairment in the general population. Data from an Italian
Francesca Moretti1, Diana De Ronchi, Katie Palmer
1Institute of Psychiatry P.Ottonello, University of Bologna, Bologna, Italy. fra-moretti@libero.it
Abstract:
The aim of this cross-sectional study is to investigate mild cognitive impairment (MCI) using the Mini-Mental State Examination in an Italian cohort (N = 6921; mean age 71.6 ± 7.5; 59.2% women). First, we applied psychometrically derived criteria for MCI regardless of presence/absence of subjective cognitive complaints (SCC); second, we implemented the analyses only on the SCC subsample. The estimated MCI prevalence was 6.0%. Amnestic- and non-amnestic MCI single domains accounted for 4.3% and 13.5% of the cases, respectively. Amnestic- and non-amnestic MCI multiple domains occurred in 2.0% and 4.5% of the cases, respectively. The 33.8% of the SCC subsample (6.0% of the cohort) had MCI. Stroke, diabetes and depressive symptoms were commonly associated to MCI suggesting that this common condition is associated with many correlates in Italian older persons. It deserves attention since it is early detectable and potentially preventable.
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