Fatores ambientais e autoavaliação de saúde: análise multinível a partir do sistema de vigilência de fatores de risco e proteção para DCNT'S em uma área urbana

• Ano de defesa: 2018
• Autor(a) principal: Mayara Santos Mendes
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Minas Gerais; UFMG
• Palavras-chave em Português: Saúde Pública e Análise Multinível; Meio Ambiente; Autoavaliação de Saúde; Saúde Ambiental; Estudos Retrospectivos; Fatores Socioeconômicos; Análise Multinível; Enfermagem; Autoavaliação Diagnóstica; Sistema de Vigilância de Fator de Risco Comportamental; Área Urbana
• Link de acesso: http://hdl.handle.net/1843/ENFC-B4HR9X

The self-rated health measures the level of individual health status, being considered an indicator composed of several dimensions that involve physical, mental, and social well-being of the population. Individual factors tend to be the main determinant in the perception of health followed by other factors such as the social and physical environments. The aim of this study was to evaluate the environmental and individual factors associated with the perception of health in adults living in the municipality of Belo Horizonte, Minas Gerais (southeastern of Brazil). This is a cross-sectional epidemiological study conducted with individuals with 18 years, living in Belo Horizonte, Minas Gerais. The database of the Sistema de Vigilância de Fatores de Risco e de Proteção para Doenças Crônicas por Inquérito Telefônico was used from 2008 to 2010. Two outcomes were defined: the declaration of health as bad and very bad, and very bad. To characterize the physical and social environments, its used georeferenced data from public and private places for physical activity, healthy, unhealthy and mixed food sales establishments, residential and population density, homicide rate, total income from coverage areas in quintile and the health vulnerability index. As a unit of analysis, the Coverage areas of Health Units (CA-BU) were used. Data analysis was used for multilevel regression. A total of 5,779 adults were evaluated, of whom 3.4% rated their health as bad or very bad and 0.8% reported having very bad health perception. Variability on the perception of negative self-rated health among the areas analyzed was observed. The data showed, after adjusting for the individual and behavioral variables, that the higher income among CA-HU decreased the chance of negative health evaluation. Conclusion: Individual, behavioral and income factors among CA-HU can influence the positive evaluation of health perception.