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Updated: Jun 10, 2026
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Selective review of cognitive aging.
1Department of Psychology, University of Virginia, Charlottesville, Virginia 22904-4400, USA. salthouse@virginia.edu
Summary
This review explores how adult age impacts cognitive functioning, examining abilities affected, contributing factors, individual differences, and methodological challenges in aging research.
Area of Science:
- Gerontology
- Cognitive Psychology
- Neuropsychology
Background:
- Understanding the relationship between aging and cognitive function is crucial for public health and individual well-being.
- Existing research presents complex findings regarding cognitive changes over the adult lifespan.
Purpose of the Study:
- To review the current state of knowledge on age-related cognitive functioning.
- To organize existing research around five key questions concerning aging and cognition.
- To highlight implications for future research methodologies.
Main Methods:
- Selective review of existing literature on adult age and cognitive functioning.
- Organization of findings based on five core research questions.
- Analysis of discrepancies between cross-sectional and longitudinal aging studies.
Main Results:
- While definitive answers remain elusive, significant information is available regarding age-related cognitive changes.
- Identified key questions address which abilities decline, the number of influencing factors, and individual variability.
- Methodological issues, particularly discrepancies between study designs, are highlighted.
Conclusions:
- Current research provides substantial insights into cognitive aging but requires further investigation.
- The findings have direct implications for designing, analyzing, and interpreting studies on cognitive aging.
- Further research is needed to fully understand and address age-related cognitive influences.
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