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Updated: Mar 16, 2026
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Characterizing Magnitude and Selectivity of Attrition in a Study of Mild Cognitive Impairment
D Facal1, O Juncos-Rabadán, J Guardia-Olmos
1D. Facal, University of Santiago de Compostela, Department of Developmental Psychology, Spain, david.facal@usc.es.
Objectives:
Attrition is one of the greatest difficulties in longitudinal studies on cognitive ageing because of the associated risk of underestimating declines. The aims of this paper were to characterize the magnitude and selectivity of attrition in a study of mild cognitive impairment.
Design:
Forty two patients with multiple-domain amnestic MCI, 71 with single-domain amnestic MCI, 35 with non-amnestic MCI and 318 healthy controls were recruited from primary care centers and assessed at baseline.
Measurements:
All participants underwent extensive neuropsychological evaluation, including the Mini-Mental State Examination, the Californian Verbal Learning Test, the CAMCOG-R battery, the Counting Span task and Listening Span task, and the Subjective Memory Complaints Questionnaire.
Results:
21.5% of the participants at baseline did not participate in the follow-up assessment. Comparison between respondents and non-returners did not reveal differences in cognitive performance in the MCI group. Data obtained at the initial assessment regarding comorbidity, social activities and attention given to memory training enabled prediction of the status of the participants in the follow-up assessment.
Conclusion:
Identification of potential non- returners is relevant, especially in MCI studies, in order to develop retention strategies to minimize attrition.
Insights
Attrition in mild cognitive impairment (MCI) studies is a challenge. This study found that while 21.5% of participants dropped out, their cognitive performance did not differ, suggesting MCI attrition may not bias results.
Area of Science:
- Neuroscience
- Gerontology
- Psychology
Background:
- Longitudinal studies on cognitive aging face significant challenges with participant attrition.
- Attrition risks underestimating cognitive decline in studies of mild cognitive impairment (MCI).
Purpose of the Study:
- To characterize the magnitude and selectivity of attrition in a mild cognitive impairment (MCI) study.
- To identify factors predicting participant dropout in MCI research.
Main Methods:
- Recruited 42 multiple-domain amnestic MCI, 71 single-domain amnestic MCI, 35 non-amnestic MCI, and 318 healthy controls.
- Conducted extensive baseline neuropsychological evaluations and a follow-up assessment.
- Utilized data on comorbidity, social activities, and memory training for prediction.
Main Results:
- 21.5% of participants did not complete the follow-up assessment.
- No significant differences in cognitive performance were found between respondents and non-returners within the MCI group.
- Baseline data on comorbidity, social activities, and memory training predicted follow-up status.
Conclusions:
- Participant attrition in MCI studies may not necessarily lead to biased cognitive performance estimates.
- Identifying potential non-returners is crucial for developing targeted retention strategies.
- Minimizing attrition is essential for the validity and reliability of findings in MCI research.
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