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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 in older adults: Analysis of some factors
Maria Dos Anjos Dixe1, Mônica Braúna1, Timóteo Camacho1
1Centre for Innovative Care and Health Technology (ciTechCare), Polytechnic Institute of Leiria (IPLeiria), Leiria, Portugal.
Abstract:
Mild cognitive decline is a feared aspect of aging associated with frailty experienced by individuals.
Objective:
To determine the number of elderly people with mild cognitive impairment (MCI); to determine the relationship of sociodemographic and clinical variables by group of individuals with or without MCI and to determine the relationship between MCI assessed by 6CIT and the cognitive domains assessed by the MoCA.
Methods:
A correlational study was conducted of 44 elderly individuals attending a day-care center or residing in a care home, with an average age of 88.9 ± 8.8 years who answered a structured interview collecting sociodemographic and clinical data.
Results:
The elderly living at home had higher average body mass index and number of pathologies than those living in an institution for the elderly (p < 0.01). 63.6% of the elderly did not have MCI, and no differences were found between residential settings. The comparison between 6CIT and MoCA yielded differences in the general domain and in visual, attention, abstraction and, orientation subdomains.
Conclusion:
Cognitive stimulation interventions should be optimized according to the residential setting at the level of comorbidities and nutrition.
Insights
Mild cognitive impairment (MCI) affects many elderly individuals. Cognitive stimulation interventions should be tailored to residential settings, considering comorbidities and nutrition for better outcomes.
Area of Science:
- Gerontology
- Neuroscience
- Public Health
Background:
- Mild cognitive impairment (MCI) is a significant concern in aging populations, often linked to frailty.
- Understanding the prevalence and correlates of MCI is crucial for developing targeted interventions.
Purpose of the Study:
- To determine the prevalence of MCI in elderly individuals.
- To examine sociodemographic and clinical factors associated with MCI.
- To assess the relationship between MCI screening tools (6CIT) and detailed cognitive domains (MoCA).
Main Methods:
- A correlational study involving 44 elderly individuals (average age 88.9 years) from day-care centers and care homes.
- Data collection included structured interviews for sociodemographic and clinical information.
Main Results:
- 63.6% of participants did not have MCI; no significant differences were found based on residential setting.
- Individuals living at home showed higher BMI and more pathologies than institutionalized residents.
- The 6-item Cognitive Impairment Test (6CIT) and Montreal Cognitive Assessment (MoCA) showed discrepancies in general cognitive function and specific domains (visual, attention, abstraction, orientation).
Conclusions:
- Cognitive stimulation strategies need to be adapted based on the individual's residential environment, considering comorbidities and nutritional status.
- Further research is needed to refine MCI assessment tools and interventions for diverse elderly populations.
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