Related Experiment Video
Updated: Jul 13, 2026
12:18
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Using the Mini-Mental State Examination for tracking cognition in the older population based on longitudinal data
Mark Chatfield1, Fiona E Matthews, Carol Brayne
1Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
Journal of the American Geriatrics Society
|July 5, 2007
Summary
This study provides updated population norms for the Mini-Mental State Examination (MMSE) using longitudinal data. These figures help assess cognitive changes in individuals relative to their peers over time.
Area of Science:
- Gerontology
- Cognitive Neuroscience
- Psychometrics
Background:
- Accurate cognitive assessment relies on population-based normative data.
- Existing norms may not reflect true longitudinal cognitive decline patterns.
- The Mini-Mental State Examination (MMSE) is a widely used cognitive screening tool.
Purpose of the Study:
- To establish population norms for the MMSE based on longitudinal data.
- To enable assessment of individual cognitive changes relative to age-matched peers.
- To account for true longitudinal patterns of cognitive decline.
Main Methods:
- Utilized 10-year follow-up data from the Medical Research Council Cognitive Function and Ageing Study (MRC CFAS).
- Analyzed 42,777 Mini-Mental State Examination (MMSE) scores from 13,004 participants across five sites in England and Wales.
- Employed longitudinal analysis to model cognitive decline and address potential biases from cohort effects and attrition.
Main Results:
- Presented age- and sex-specific MMSE norms derived from longitudinal data.
- Demonstrated accounting for cohort effects and dropout of participants with lower cognitive scores.
- Provided a robust dataset for understanding cognitive trajectories in aging populations.
Conclusions:
- The developed MMSE norms are valuable for assessing individual performance and tracking changes in relative cognitive position.
- These longitudinal norms enhance the utility of the MMSE across diverse clinical and research settings.
- Facilitates more accurate interpretation of cognitive status in aging individuals.
Related Concept Videos
01:30Cognitive Development During Adulthood
Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...
02:20Longitudinal Research
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...