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1.
Public Health ; 181: 86-93, 2020 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-31978778

RESUMO

OBJECTIVES: As social determinants of health, mortgage possessions (primarily foreclosures in the US context) and housing instability have been associated with certain mental and physical health outcomes at the individual level. However, individual risks of foreclosure and of poor health are spatially patterned. The objective of this study is to examine the extent to which area-specific social and economic characteristics help explain the relationship between mortgage possessions and obesity prevalence in 75 of the 100 most populous US metropolitan areas. STUDY DESIGN: This is a cross-sectional study. METHODS: The study relies on three sources of data: the Selected Metropolitan/Micropolitan Area Risk Trends (SMART) project, RealtyTrac foreclosure data, and the American Community Survey. Focal social and economic characteristics include foreclosure rates, levels of racial residential segregation, and poverty. Obesity prevalence and several control measures for each metropolitan area are also used. Ordinary least squares regression, weighted using the SMART project data, is used, and statistical significance is set at 0.05. RESULTS: The results suggest that mortgage possessions are independently associated with higher obesity prevalence and that foreclosures operate through the specific channel of racial residential segregation and its tie to the racial composition of a metropolitan area. Socio-economic status of an area, and not poverty, is related to foreclosures and obesity prevalence. CONCLUSION: Mortgage possessions not only are socio-economic but also have negative health consequences, such as obesity. The findings provide an empirical base for other researchers to uncover the relationships between segregation, mortgage possessions, and obesity at the individual level of analysis. The public health community should be engaged in addressing the issue of foreclosures in the US because the failure to engage may have broad financial and health consequences across large cities.


Assuntos
Habitação/estatística & dados numéricos , Obesidade/epidemiologia , Propriedade , Racismo , Características de Residência , Adulto , Cidades , Estudos Transversais , Feminino , Habitação/economia , Humanos , Masculino , Pessoa de Meia-Idade , Pobreza , Prevalência , Fatores Socioeconômicos , Análise Espacial , Estados Unidos/epidemiologia , População Urbana
2.
J Epidemiol Community Health ; 58(3): 175-9, 2004 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-14966226

RESUMO

OBJECTIVE: To examine the association between (1) local political party, (2) urban policies, measured by spending on local programmes, and (3) income inequality with premature mortality in large US cities. DESIGN: Cross sectional ecological study. OUTCOME MEASURES: All cause death rates and death rates attributable to preventable or immediate causes for people under age 75. PREDICTOR MEASURES: Income inequality, city spending, and social factors. SETTING: All central cities in the US with population equal to or greater than 100 000. RESULTS: Income inequality is the most significant social variable associated with preventable or immediate death rates, and the relation is very strong: a unit increase in the Gini coefficient is associated with 37% higher death rates. Spending on police is associated with 23% higher preventable death rates compared with 14% lower death rates in cities with high spending on roads. CONCLUSIONS: Cities with high income inequality and poverty are so far unable to reduce their mortality through local expenditures on public goods, regardless of the mayoral party. Longitudinal data are necessary to determine if city spending on social programmes reduces mortality over time.


Assuntos
Gastos em Saúde/estatística & dados numéricos , Renda/estatística & dados numéricos , Governo Local , Mortalidade/tendências , Saúde da População Urbana/estatística & dados numéricos , Adolescente , Adulto , Idoso , Causas de Morte , Criança , Pré-Escolar , Estudos Transversais , Feminino , Programas Governamentais/economia , Indicadores Básicos de Saúde , Humanos , Renda/classificação , Lactente , Recém-Nascido , Masculino , Pessoa de Meia-Idade , Política , Fatores Socioeconômicos , Estados Unidos/epidemiologia
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