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Related Experiment Video

Updated: Jun 4, 2026

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing
06:58

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing

Published on: January 24, 2020

Mini-Mental State Examination: a normative study in Italian elderly population.

E Magni1, G Binetti, A Bianchetti

  • 1Geriatric Research Group, Via Romanino 1, 25123 Brescia, and Alzheimer's Disease Unit, S. Cuore Hospital Via Pilastroni 4, 25124 Brescia, Italy.

European Journal of Neurology
|February 3, 2011
PubMed
Summary
This summary is machine-generated.

The Mini-Mental State Examination (MMSE) is affected by age and education. This study developed adjustment coefficients to improve MMSE reliability for cognitive impairment screening in older adults.

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Area of Science:

  • Gerontology
  • Neuropsychology
  • Biostatistics

Background:

  • The Mini-Mental State Examination (MMSE) is a widely used tool for assessing cognitive function.
  • MMSE scores are known to be influenced by demographic factors such as age and education level.
  • Accurate cognitive assessment in the elderly is crucial for early detection of impairment.

Purpose of the Study:

  • To investigate the impact of age and education on MMSE scores in an elderly Italian population.
  • To develop statistical adjustment coefficients to mitigate the influence of these demographic variables on MMSE raw scores.
  • To enhance the reliability of the MMSE as a screening tool for cognitive impairment in older adults.

Main Methods:

  • Administered the MMSE to 1019 elderly subjects (aged 65-89) across three Italian cities.
  • Employed statistical non-linear regression modeling to derive adjustment coefficients.
  • Utilized multiple linear regression with age and education transformations to refine the model.

Main Results:

  • Both age and educational level were found to be significant and independent predictors of MMSE scores.
  • Adjustment coefficients were successfully calculated to correct for demographic influences on MMSE raw scores.
  • The developed model demonstrated potential to improve the accuracy of cognitive status assessment.

Conclusions:

  • Age and education significantly affect MMSE performance in elderly individuals.
  • Statistical adjustments can effectively reduce the confounding effects of age and education on MMSE scores.
  • This approach promises to increase the reliability of MMSE for screening cognitive impairment in the elderly population.