Dependence between cognitive impairment and metabolic syndrome applied to a Brazilian elderly dataset
| Autor: | Francisco Assis Carvalho Vale, Michel Bessani, Tadeu Junior Gross, Carlos Dias Maciel, Renata Bezerra Araujo |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Gerontology Male Population ageing Aging Databases Factual Population Medicine (miscellaneous) Context (language use) Risk Assessment Body Mass Index 03 medical and health sciences 0302 clinical medicine Cognition Artificial Intelligence Risk Factors medicine ENGENHARIA ELÉTRICA Data Mining Humans Cognitive Dysfunction Effects of sleep deprivation on cognitive performance Risk factor education Aged Metabolic Syndrome education.field_of_study business.industry Age Factors Bayesian network Bayes Theorem medicine.disease 030104 developmental biology Cross-Sectional Studies Female Metabolic syndrome business Body mass index 030217 neurology & neurosurgery Brazil |
| Zdroj: | Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP |
| ISSN: | 1873-2860 |
| Popis: | Globally, the proportion of elderly individuals in the population has increased substantially in the last few decades. However, the risk factors that should be managed in advance to ensure a natural process of mental decline due to aging remain unknown. In this study, a dataset consisting of a Brazilian elderly sample was modelled using a Bayesian Network (BN) approach to uncover connections between cognitive performance measures and potential influence factors. Regarding its structure (a Directed Acyclic Graph), it was investigated the probabilistic dependence mechanism between two variables of medical interest: the suspected risk factor known as Metabolic Syndrome (MetS) and the indicator of mental decline referred to as Cognitive Impairment (CI). In this investigation, the concept known in the context of a BN as D-separation has been employed. Results of the conducted study revealed that the dependence between MetS and Cognitive Variables (CI and its direct determinants) in fact exists and depends on both Body Mass Index (BMI) and age. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect