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Normative Data for the Montreal Cognitive Assessment (MoCA) in Mexican Adults: A Regression-Based Approach
Lorena Parra-Rodríguez1, Juan Silva-Pereyra2, Sergio Sánchez-García3
1Instituto Nacional de Geriatría, Ciudad de México 10200, Mexico.
Diagnostics (Basel, Switzerland)
|November 27, 2025
Summary
This study developed new norms for the Montreal Cognitive Assessment (MoCA) in Mexican adults. These regression-based norms account for age and education, improving accuracy in detecting cognitive impairment.
Area of Science:
- Neuroscience
- Gerontology
- Psychometrics
Background:
- The Montreal Cognitive Assessment (MoCA) is a key tool for screening cognitive impairment.
- Existing MoCA cut-off scores and education adjustments may not be universally applicable.
- Limited validation studies exist for Mexican populations.
Purpose of the Study:
- To investigate the impact of age and education on MoCA scores in Mexican adults.
- To establish regression-based normative data for the MoCA in Mexico.
- To enhance the accuracy and cultural sensitivity of MoCA interpretation.
Main Methods:
- Analyzed MoCA performance in 2546 healthy Mexican adults (aged 18-99).
- Applied regression analyses to develop age- and education-adjusted norms.
- Used Spanish version 8.1 of the MoCA.
Main Results:
- MoCA scores showed a negative correlation with age and a positive correlation with education.
- Sex did not significantly affect MoCA performance.
- Identical raw MoCA scores have varying normative interpretations based on age and education.
Conclusions:
- This study presents the first regression-based MoCA norms for Mexican adults.
- Age and education significantly influence MoCA test performance.
- The developed norms offer more precise, culturally sensitive interpretations, reducing misclassification risks.
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