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Normative data for the Montreal Cognitive Assessment (MoCA) in a population-based sample
Heidi C Rossetti1, Laura H Lacritz, C Munro Cullum
1P.O. Box 800203, Charlottesville, VA 22908, USA. Hr5c@virginia.edu
Neurology
|September 16, 2011
Summary
The Montreal Cognitive Assessment (MoCA) shows lower scores in a diverse population, with many scoring below impairment cutoffs. Population-specific norms are needed for accurate interpretation of MoCA results.
Area of Science:
- Neuropsychology
- Cognitive Assessment
- Population Health
Background:
- The Montreal Cognitive Assessment (MoCA) is widely used for cognitive screening.
- Existing normative data may not accurately represent diverse populations.
- Understanding demographic influences on MoCA performance is crucial.
Purpose of the Study:
- To establish normative and descriptive data for the MoCA.
- To analyze MoCA performance in a large, ethnically diverse sample.
- To investigate the impact of age and education on MoCA scores.
Main Methods:
- Administered the MoCA to 2,653 ethnically diverse participants (mean age 50.3).
- Generated normative data stratified by age and education.
- Examined demographic variable relationships using correlations and ANOVA.
Main Results:
- Mean MoCA score was 23.4 (SD 4.0), with 66% below the <26 impairment cutoff.
- High rates of missed items observed in cube drawing, delayed recall, and sentence repetition.
- Normative data were successfully derived based on age and education.
Conclusions:
- Population-based norms are essential for accurate MoCA interpretation.
- Established MoCA cut scores should be applied with caution in diverse groups.
- Demographic factors significantly influence MoCA performance and require consideration.
