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Updated: May 9, 2026
12:18
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
[Sleep, fragility and cognition: a multicenter study with Brazilian elderly]
Ariene Angelini dos Santos1, Thalyta Cristina dos Santos Mansano-Schlosser, Maria Filomena Ceolim
1Universidade Estadual de Campinas, Curso de Ciências da Saúde (Doutoranda). Campinas-SP, Brasil. arieneangelini@yahoo.com.br
Revista Brasileira De Enfermagem
|July 27, 2013
Summary
Cognitive function in older adults is impacted by age, gender, and income. Lower income, female gender, and older age are linked to poorer cognitive screening scores.
Area of Science:
- Gerontology
- Cognitive Neuroscience
- Public Health
Context:
- Investigating cognitive health in community-dwelling elderly.
- Utilizing data from the Frailty in Elderly Brazilians (FIBER) project.
- Assessing 878 elderly participants.
Purpose:
- To analyze the combined effects of background variables (age, gender, income), frailty, and sleep disorders on cognition.
- To identify key demographic and health factors associated with cognitive decline in the elderly population.
Summary:
- Socio-demographic questionnaire, sleep disorder assessment (Nottingham Health Profile), and cognitive screening (MMSE) were employed.
- Statistical analyses included Mann Whitney, Kruskal Wallis tests, and regression analysis (p <0.05).
- Results indicate lower Mini-Mental State Examination (MMSE) scores correlate with lower family income, female gender, and advanced age.
Impact:
- Findings can inform health professionals in developing targeted preventive strategies for cognitive health.
- Interventions may help maintain autonomy and independence in daily activities for the elderly.
- Highlights the importance of considering socio-economic and demographic factors in geriatric cognitive care.
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