947 resultados para Multivariate analysis.
Resumo:
The position of 125 countries is studied on the basis of a collection of 26 basic, health, economic and educational indicators. Multivariate statistical methods were used, including Cluster Analysis, Principal Component Analysis and Multivariate Analysis of Variance. The most discriminating variables were life expectancy the child mortality rate, the mortality rate of children of less than five years of age, the birth and fertility rates and the high-school female matriculation rate. The first principal component was interpreted as a measure of the living standard which made it possible to place the countries in order. Five clusters of countries are suggested.
Resumo:
Verify factors that influence the oral health status of people living with HIV/AIDS (PLWHA) in Brazil. The study was cross-sectional and includes 177 HIV-positive individuals, who answered questionnaire on the sociodemographic conditions, HIV aspects, habits, and satisfaction with the service. The oral health data were collected by means of the decayed, missing, and filled teeth (DMFT) index, use and need of dentures, and the Community Periodontal Index. Average number of the DMFT was 17.64. Most HIV-positive patients presented good periodontal status, 35.0% used dentures, 41.5% needed denture in the maxilla, and 62.0% in the mandible. In the multivariate analysis, older age and dissatisfaction with health care were associated with nonuse of dentures. The abandonment of the use of antiretroviral therapy increased the risk of PLWHA presenting more than three decayed teeth. Poor oral health of the PLWHA was mainly influenced by sociodemographic factors and use and satisfaction with service.