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Updated: Oct 16, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
A conceptual model for achieving well-being in adults with mild cognitive impairment
Odelyah Saad1, Leehu Zysberg2, Jeremia Heinik3
1JCT-Jerusalem College of Technology-Lev Academic Center Israel; The Cheryl Spencer Department of Nursing Faculty of Social Welfare and Health Science, University of Haifa, Israel, Haifa, Israel.
Objective:
Low well-being is common among people with Mild Cognitive Impairment (MCI). We propose a model to examine how different types of resources work together to maintain well-being in people with MCI.
Methods:
Participants included 121 community dwelling adults over the age of 60 who were diagnosed with MCI. Structural equation modeling assessed suggested relationships between resources and well-being.
Results:
Emotional intelligence, general mental ability, morbidity, economic status, basic activities of daily living, and age were correlated to well-being in a triple mediation process through cognitive function, instrumental activities of daily living, and social support. Model fit was excellent (RMSEA-0.04; IFI-.96; CFI-.96; CMIN/DF-1.23), CONCLUSION: Achieving well-being when coping with MCI requires a combination of objective resources and subjective evaluation of the situation. Ultimately, social support determines an individual's level of well-being. Findings suggest the need to understand what kind of social support is required by those coping with MCI.
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