ArticleInternational journal for equity in health2016
Inequalities in socioeconomic status and race and the odds of undergoing a mammogram in Brazil.
Article in International journal for equity in health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Socioeconomic determinants of cancer screening utilisation in Latin America: A systematic review.PloS one · 2019Pooled it
- Barriers and facilitators of the implementation of mammography screening in the Brazilian public health system: scoping review.BMC public health · 2025Article
- Inequality by Skin Color in Breast Cancer Screening in Brazil: a Differences-in-Differences Analysis of the COVID-19 Pandemic.Journal of racial and ethnic health disparities · 2025Article
- Population-Based Trends in Cervical Cancer Incidence and Mortality in Brazil: Focusing on Black and Indigenous Population Disparities.Journal of racial and ethnic health disparities · 2024Article
- Tuberculosis Treatment Outcomes in Brazil: Different Predictors for Each Type of Unsuccessful Outcome.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023Observational
- Geographic accessibility to cancer treatment in Brazil: A network analysis.Lancet regional health. Americas · 2022Article
- Factors related to mammography adherence among women in Brazil: A scoping review.Nursing open · 2021Article
- Life Expectancy of White and Non-White Elite Heavyweight Boxers.Journal of racial and ethnic health disparities · 2020Article
- [Breast cancer screening: modeling improvement of access using mobile mammography unitsSeguimiento del cáncer de mama: modelo de mejora del acceso con el uso de mamógrafos móviles].Revista panamericana de salud publica = Pan American journal of public health · 2019Article
- Article
- Antenatal depressive symptoms among pregnant women: Evidence from a Southern Brazilian population-based cohort study.Journal of affective disorders · 2017Article
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Authors and funding
5 authors.
Funding
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Abstract
backgroundAccess to mammograms, in common with other diagnostic procedures, is strongly conditioned by socioeconomic disparities. Which aspects of inequality affect the odds of undergoing a mammogram, and whether they are the same in different localities, are relevant issues related to the success of health policies.
methodsThis study analyzed data from the 2008 PNAD - Brazilian National Household Sample Survey (11.607 million women 40 years of age or older), on having had at least one mammogram over life for women 40 years of age or older in each of Brazil's nine Metropolitan Regions (MR), according to socioeconomic position. The effects of income, schooling, health insurance and race in the different regions were investigated using multivariate logistical regression for each region individually, and for all MRs combined. The age-adjusted odds of a woman having had a mammogram according to race and stratified by two income strata (and two schooling strata) were also analyzed.
resultsHaving a higher income increases four to seven times a woman's odds of having had at least one mammogram in all MRs except Curitiba. For schooling, the gradient, though less steep, is favorable to women with more years of study. Having health insurance increases two to three times the odds in all MRs. Multivariate analysis did not show differences due to race (except for the Fortaleza MR), but the stratified analysis by income and schooling shows effects of race in most MRs, with greater differences for women with higher socioeconomic status.
conclusionsThis study confirms that income and schooling, as well as having health insurance, are still important determinants of inequality in health service use in Brazil. Additionally, race also contributes to the odds of having had a mammogram. The point is not to isolate the effect of each factor, but to evaluate how their interrelations may exacerbate differences, generating patterns of cumulative adversity, a theme that is still little explored in Brazil. This is much more important when we consider that race has only recently started be included in analyses of health outcomes in Brazil.
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