Estudo saúde em Beagá: fatores associados a autopercepção da extensão territorial da vizinhança

• Ano de defesa: 2013
• Autor(a) principal: Fabiano de Almeida Celio
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Minas Gerais; UFMG
• Palavras-chave em Português: Vizinhança; Indicador composto; Saúde urbana; Autoavaliação diagnóstica; Nível de saúde; Saúde da população urbana; Saúde pública Brasil; Qualidade de vida; Zonas urbanas; Estudos de avaliação; Epidemiologia; Participação comunitária; Psicologia; Promoção da saúde
• Link de acesso: http://hdl.handle.net/1843/BUOS-9DFHMU

There is a rising interest in investigating the association between physical and social characteristics of neighborhoods and health outcomes. To define neighborhood two main strategies are found: one uses artificial borders, usually created for administrative purposes, the second considers the participant's own definition, self perceived neighborhood. The aim of this study was to determine and quantify the factors associated with the heterogeneity of self perception of the territorial dimension of neighborhood between participants in a health survey in Belo Horizonte (MG). To investigate the association between perceived neighborhood extension and the explanatory variables, proportional odds model for ordinal logistic regression was used. Increased perceived of the territorial extension of the neighborhood was statistically associated with: better socioeconomic position (OR = 1.08-1.34, 95% CI); being working (OR = 1.07-1.61, 95% CI); positive evaluation of the aesthetic (OR = 1.01-1.13, 95% CI); positive assessment of mobility within the neighborhood (OR = 1.12-1.30, 95% CI), greater identification of problems in the neighborhood (noise, violence, drug use, among others) (OR = 1.03-1.11, 95% CI), less involvement in activities social / leisure activities (OR = 0.86-0.99, 95% CI), high number of relatives living in the neighborhood (OR = 2.55-6.38 95% CI) and meet a greater number of people in the neighborhood ( OR = 1.22-5.85, 95% CI). The findings of this study may help to delimit boundaries closer to the perceptions of individuals and provide more accurate estimates of the impact on neighborhood on health-related events.