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Updated: Jul 14, 2026
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Mild cognitive impairment: coping with an uncertain label
Liesbeth Joosten-Weyn Banningh1, Myrra Vernooij-Dassen, Marcel Olde Rikkert
1Radboud University Nijmegen Medical Centre, Department of Medical Psychology, the Netherlands. l.joosten@ger.umcn.nl
International Journal of Geriatric Psychiatry
|June 21, 2007
Summary
Patients with Mild Cognitive Impairment (MCI) experience significant challenges and utilize various coping strategies. Understanding these experiences is crucial for developing effective support programs for MCI.
Area of Science:
- Neurology
- Psychology
Background:
- Mild Cognitive Impairment (MCI) is a diagnostic label for cognitive decline exceeding age-expected norms, without significant impact on daily living.
- MCI patients face an uncertain prognosis, with an elevated risk of progressing to dementia.
Purpose of the Study:
- To explore the lived experiences of patients diagnosed with MCI.
- To identify key themes for developing a support group program for individuals with MCI.
Main Methods:
- Grounded theory approach.
- Guided interviews with eight MCI patients.
Main Results:
- Identified four common themes: changes in cognition, mobility, affect, vitality, and somatic complaints.
- Attributions for cognitive decline included personality traits and information overload.
- Negative consequences reported by patients included anxiety, loss of self-confidence, irritability, and abandonment of leisure activities.
- Patients employed emotion-oriented, problem-focused, and avoidant coping strategies.
Conclusions:
- MCI patients face practical, social, and psychological difficulties.
- Support group themes should cover causes, course, symptoms, attributions, social impact, and treatments for MCI.
- Further research is needed on the impact of the MCI diagnosis itself.
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