Regression-Based Normative Data for the Montreal Cognitive Assessment (MoCA) and Its Memory Index Score (MoCA-MIS)...

Area of Science:

• Neuropsychology
• Cognitive Science
• Psychometrics

Background:

• The Montreal Cognitive Assessment (MoCA) is a reliable tool for cognitive function assessment.
• A lack of fine-grained normative data, particularly for the Memory Index Score (MIS), limits its precision.
• Normative data adjusted for age, education, and sex are needed for accurate interpretation.

Purpose of the Study:

• To develop regression-based normative data for the Dutch MoCA Total Score and MIS.
• To enable age, education, and sex adjustments for improved cognitive assessment.
• To provide percentile distributions for broader clinical and research applications.

Main Methods:

• Collected data from 820 healthy Dutch adults (aged 18-91, 366 men).
• Administered the Dutch MoCA (version 7.1) and memory subtests for MIS calculation in 182 participants.
• Computed regression-based normative data using the Advanced Neuropsychological Diagnostics Infrastructure (ANDI) procedures.

Main Results:

• Age, education, and sex were significant predictors for both MoCA Total Score and MIS.
• Provided detailed percentile distributions for age-, education-, and sex-adjusted scores.
• Demonstrated the predictive power of demographic factors on cognitive test performance.

Conclusions:

• Presented comprehensive normative data for the MoCA and MIS across the adult lifespan.
• Facilitates screening for cognitive deficits and memory impairment in diverse populations.
• Applicable to both older adults and younger individuals with various medical conditions.