2014
DOI: 10.1590/1809-4503201400030005
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Inequities in intraurban areas in the distribution of risk factors for non communicable diseases, Belo Horizonte, 2010

Abstract: Intra-urban differences were found in the distribution of risk and protection factors or non transmissible diseases, these differences can support planning aimed at actions for greater equity in health.

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Cited by 9 publications
(8 citation statements)
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“… 8 9 Recent studies have found that socioeconomic characteristics of the neighbourhoods (such as income inequality, violence and median income) are associated with risk of mortality in developing countries. 10 11 Contextual characteristics have also been found to be associated with other health outcomes, such as the association of income inequality with exposure to chronic diseases risk factors 12 and risk for depression. 13 However, studies that analysed the association of characteristics of the neighbourhood and risk for CVD are still scarce in Brazil, a country with a wide range of socioeconomic and environmental factors that could significantly impact health.…”
Section: Introductionmentioning
confidence: 99%
“… 8 9 Recent studies have found that socioeconomic characteristics of the neighbourhoods (such as income inequality, violence and median income) are associated with risk of mortality in developing countries. 10 11 Contextual characteristics have also been found to be associated with other health outcomes, such as the association of income inequality with exposure to chronic diseases risk factors 12 and risk for depression. 13 However, studies that analysed the association of characteristics of the neighbourhood and risk for CVD are still scarce in Brazil, a country with a wide range of socioeconomic and environmental factors that could significantly impact health.…”
Section: Introductionmentioning
confidence: 99%
“…These findings are in agreement with the results of a study that investigated intra-urban differentials in the distribution of risk factors for NCDs in Belo Horizonte. This study identified that the cluster with the worst sociodemographic indicators concentrated more risk factors, such as low regular consumption of FV and less LTPA, and the cluster with the best sociodemographic indicators showed a higher percentage of alcohol abuse 19 .…”
Section: Discussionmentioning
confidence: 87%
“…And the recognition of these realities can be useful in the definition of healthcare priorities. 23 Thus, the classic panorama of regional inequalities in Brazil mentioned in other studies is configures. 10,21 A research 21 highlighted a group of eight federation units -seven states in the South/Southeast and the Federal District -with high levels of healthcare development, characterized by the best infrastructure of healthcare resources to provide specialized and more complex care.…”
Section: Discussionmentioning
confidence: 92%