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1.
BMC Public Health ; 19(1): 861, 2019 Jul 03.
Artigo em Inglês | MEDLINE | ID: mdl-31269940

RESUMO

BACKGROUND: Considering the lack of studies that examine built environmental factors associated with life satisfaction among old people in developing countries, particularly those focused on Brazil, the aim of this study was to estimate the prevalence of life satisfaction among old adults residents in a Brazilian urban center and to investigate its association with individual characteristics and objective measures of the built environment. METHODS: A household survey (N = 832) in Belo Horizonte, Minas Gerais, Brazil (2008-2009) and a Systematic Social Observation (SSO) was used in this study. Life satisfaction was assessed through Self-Anchoring Ladder Scale, developed by Cantril, in 1965. Participants' answers were categorized as satisfied (rungs 6-10) and dissatisfied (rungs 0-5). A Multilevel Poisson regression analysis with robust variance was performed. RESULTS: The prevalence of satisfaction with life was approximately 82%. Higher prevalence of life satisfaction was significantly associated with old people who reported higher incomes, higher religious participation, who practice physical activity and who perceive their health as good and very good. In contextual level, results showed that when the contextual features were adjusted separately by the individual characteristics they were no longer significant. The results also showed a lower prevalence of life satisfaction among those living in neighborhoods with higher physical disorder, even after adjusting for individual and other contextual characteristics. CONCLUSIONS: The present findings suggest that life satisfaction should be assessed whenever evaluating urban redevelopment programs designed to improve neighborhood characteristics, reducing physical disorder, especially among old adults.


Assuntos
Ambiente Construído/estatística & dados numéricos , Satisfação Pessoal , Características de Residência/estatística & dados numéricos , População Urbana , Idoso , Brasil , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Modelos Estatísticos , Análise Multinível , Fatores Socioeconômicos , Inquéritos e Questionários , População Urbana/estatística & dados numéricos
2.
Artigo em Inglês | MEDLINE | ID: mdl-30626068

RESUMO

Background: Homicide rates in Brazil are among the highest worldwide. Although not exclusive to large Brazilian cities, homicides find their most important determinants in cities' slums. In the last decade, an urban renewal process has been initiated in the city of Belo Horizonte, in Brazil. Named Vila Viva project, it includes structuring urban interventions such as urban renewal, social development actions and land regularization in the slums of the city. This study evaluates the project's effect on homicide rates according to time and interventions. Methods: Homicide rates were analyzed comparing five slums with interventions (S1⁻S5) to five grouped non-intervened slums (S0), with similar socioeconomic characteristics from 2002 to 2012. Poisson regression model estimates the effect of time of observation and the effect of time of exposure (in years) to a completed intervention, besides the overall risk ratio (RR). Results: Using the time of observation in years, homicide rates decreased in the studied period and even more if considered cumulative time of exposure to a completed intervention for S1, S2, S3 and S4, but not for S5. Conclusions: Although the results of the effect of the interventions are not repeated in all slums, a downward trend in homicide rates has been found, which is connected to the interventions. New approaches could be necessary in order to verify the nexus between slum renewal projects and the reduction of homicide rates.


Assuntos
Homicídio/estatística & dados numéricos , Áreas de Pobreza , Saúde da População Urbana/estatística & dados numéricos , Reforma Urbana/estatística & dados numéricos , Brasil , Cidades , Feminino , Homicídio/tendências , Humanos , Masculino , Razão de Chances , Avaliação de Programas e Projetos de Saúde , Fatores Socioeconômicos , Reforma Urbana/métodos
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