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Updated: Jun 27, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Usefulness of two instruments in assessing depression among elderly Mexicans in population studies and for primary
Sergio Sánchez-García1, Teresa Juárez-Cedillo, José Juan García-González
1Unidad de Investigación Epidemiológica y en Servicios de Salud, Area de Envejecimiento, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, México DF, México.
Objective:
To determine the psychometric qualities of the CES-DR and GDS scales in the elderly and compare them to clinical psychiatric diagnoses.
Material And Methods:
The first phase consisted of home interviews for determining the psychometric qualities of the GDS and CES-DR scales. In the second phase, psychiatrists conducted diagnostic interviews. The sample consisted of 534 participants older than 60 years of age insured by the Mexican Institute of Social Security.
Results:
First phase: Cronbach's alpha for the GDS was 0.87 and 0.86 for CES-DR. The GDS factorial analysis found eight factors that could explain 53.5% of the total variance and nine factors that explained 57.9% in the CES-DR. Second phase: Compared to the psychiatric diagnoses, CES-DR reported a sensitivity of 82% and a specificity of 49.2%; GDS reported 53.8% sensitivity and 78.9% specificity.
Conclusions:
CES-DR and GDS scales have high reliability and adequate validity but the CES-DR reports higher sensitivity.
