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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Cognitive assessment of the non-demented elderly community dwellers in Spain
Auxiliadora Graciani1, José R Banegas, Pilar Guallar-Castillón
1Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain.
Objective:
The prevalence of cognitive impairment and population normative values for cognitive function were assessed, for the first time, in 2,630 subjects representative of the non-demented community dweller population > or =65 years in Spain, a southern European country with a sizable proportion of illiterate senior citizens.
Methods:
Data were collected cross-sectionally by interview, using a structured questionnaire. Cognitive function was assessed using the Mini-Examen Cognoscitivo (MEC; Spanish-validated version of the Mini-Mental State Examination).
Results:
A total of 22.4% of the subjects presented with cognitive impairment (MEC < or =22). The proportion of subjects with cognitive impairment was double in women versus men, rose to 46.2% in subjects aged > or =85 years and to 34.8% in subjects with no formal education, and was higher among those who had limitations in instrumental activities of daily living (p < 0.001). In subjects with no formal education, 25% registered mean MEC scores compatible with probable cognitive impairment.
Conclusions:
One of every 5 Spanish senior citizens presents with cognitive impairment, a proportion that increased among women, subjects with no formal education and with higher age.
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