How much of the income inequality effect can be explained by public policy? Evidence from oral health in Brazil.
Identifieur interne : 002E93 ( Ncbi/Merge ); précédent : 002E92; suivant : 002E94How much of the income inequality effect can be explained by public policy? Evidence from oral health in Brazil.
Auteurs : Roger Keller Celeste [Brésil] ; Paulo NadanovskySource :
- Health policy (Amsterdam, Netherlands) [ 1872-6054 ] ; 2010.
Descripteurs français
- KwdFr :
- Adolescent, Analyse de régression, Analyse multivariée, Brésil (épidémiologie), Caractéristiques de l'habitat, Caries dentaires (épidémiologie), Disparités de l'état de santé, Femelle, Humains, Jeune adulte, Malocclusion dentaire (épidémiologie), Mâchoire partiellement édentée (épidémiologie), Mâle, Pauvreté, Politique publique, Prévalence, Revenu, Santé buccodentaire.
- MESH :
- épidémiologie : Brésil, Caries dentaires, Malocclusion dentaire, Mâchoire partiellement édentée.
- Adolescent, Analyse de régression, Analyse multivariée, Caractéristiques de l'habitat, Disparités de l'état de santé, Femelle, Humains, Jeune adulte, Mâle, Pauvreté, Politique publique, Prévalence, Revenu, Santé buccodentaire.
- Wicri :
- geographic : Brésil.
English descriptors
- KwdEn :
- Adolescent, Brazil (epidemiology), Dental Caries (epidemiology), Female, Health Status Disparities, Humans, Income, Jaw, Edentulous, Partially (epidemiology), Male, Malocclusion (epidemiology), Multivariate Analysis, Oral Health, Poverty, Prevalence, Public Policy, Regression Analysis, Residence Characteristics, Young Adult.
- MESH :
- geographic , epidemiology : Brazil.
- epidemiology : Dental Caries, Jaw, Edentulous, Partially, Malocclusion.
- Adolescent, Female, Health Status Disparities, Humans, Income, Male, Multivariate Analysis, Oral Health, Poverty, Prevalence, Public Policy, Regression Analysis, Residence Characteristics, Young Adult.
Abstract
To evaluate the association between income inequality, a public policy scale and to oral health.
DOI: 10.1016/j.healthpol.2010.05.015
PubMed: 20557971
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pubmed:20557971Le document en format XML
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<term>Humans</term>
<term>Income</term>
<term>Jaw, Edentulous, Partially (epidemiology)</term>
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<term>Poverty</term>
<term>Prevalence</term>
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<term>Regression Analysis</term>
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<term>Brésil (épidémiologie)</term>
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<term>Caries dentaires (épidémiologie)</term>
<term>Disparités de l'état de santé</term>
<term>Femelle</term>
<term>Humains</term>
<term>Jeune adulte</term>
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<term>Caries dentaires</term>
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<keywords scheme="MESH" xml:lang="en"><term>Adolescent</term>
<term>Female</term>
<term>Health Status Disparities</term>
<term>Humans</term>
<term>Income</term>
<term>Male</term>
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<term>Analyse de régression</term>
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<term>Disparités de l'état de santé</term>
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<term>Jeune adulte</term>
<term>Mâle</term>
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<term>Prévalence</term>
<term>Revenu</term>
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<front><div type="abstract" xml:lang="en">To evaluate the association between income inequality, a public policy scale and to oral health.</div>
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<ArticleTitle>How much of the income inequality effect can be explained by public policy? Evidence from oral health in Brazil.</ArticleTitle>
<Pagination><MedlinePgn>250-8</MedlinePgn>
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<ELocationID EIdType="doi" ValidYN="Y">10.1016/j.healthpol.2010.05.015</ELocationID>
<Abstract><AbstractText Label="OBJECTIVES" NlmCategory="OBJECTIVE">To evaluate the association between income inequality, a public policy scale and to oral health.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">Analysis, using the Brazilian oral health survey in 2002-2003, included 23,573 15-19-year-old subjects clustered in 330 municipalities. Missing and decayed teeth and malocclusion assessments were the outcomes. Gini coefficient and a novel Scale of Municipal Public Policies were the main exposure variables. Individual level covariates were used as controls in multilevel regressions.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">An increase from the lowest to the highest Gini value in Brazil was associated with an increase in the number of missing (rate ratio, RR=2.11 confidence interval 95% 1.18-3.77) and decayed teeth (RR=2.92 CI 95% 1.83-4.65). After adjustment for public policies and water fluoridation, the Gini effect was non-significant and public policies explained most of the variation in missing and decayed teeth. The public policy scale remained significant after adjustment with a rate ratio of 0.64 for missing and 0.72 for decayed teeth. Neither Gini nor public policies were significantly related to malocclusion. The public policy effect on missing and decayed teeth was stronger among those with higher education and income.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Income inequality effect was explained mainly by public policies, which had an independent effect that was greater among the better-off.</AbstractText>
<CopyrightInformation>Copyright (c) 2010 Elsevier Ireland Ltd. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Celeste</LastName>
<ForeName>Roger Keller</ForeName>
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<AffiliationInfo><Affiliation>Department of Epidemiology, Institute of Social Medicine, State University of Rio de Janeiro, Rio de Janeiro, Brazil.</Affiliation>
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