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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Prevalence and factors associated with cognitive impairments in the elderly of charity asylums: a descriptive study
Tábada Samantha Marques Rosa1, Valdete Alves Valentins Dos Santos Filha1, Anaelena Bragança de Moraes1
1Departamento de Fonoaudiologia, Centro de Ciências da Saúde, Universidade Federal de Santa Maria. Av. Roraima 1000, Camobi. 97119-900 Santa Maria RS Brasil. sa_marqs@hotmail.com.
Abstract:
The current transversal and descriptive study evaluates the prevalence and factors associated with cognitive liabilities in a sample of 98 elderly people residents of philanthropic institutions. The sociodemographic and clinical data were retrieved from the patients´ clinical charts. The cognition was assessed by the Mental State Mini-Exam, while the maintenance of independence regarding basic activities (such as bathing, putting on clothes, and others) was evaluated using the Katz Index. The Short Physical Performance Battery exam assessed their physical performance. Non-parametric tests were employed for the statistical analysis. Cognitive impairment was registered in 27.6% of the elderlies and was not associated with sociodemographic variables, independence in basic activities, and physical performance. We verified a high prevalence of endocrine diseases, mental disorders, and psychiatric treatment in the elderlies with cognitive impairments. The percentage of elderly with cognitive alterations is similar to those found in the literature. We identified no significant risk factors associated with cognition among the evaluated variables.
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