ABSTRACT Objective: To estimate the prevalence of adult smokers in the 26 capitals and the Federal District according to the Brazilian Deprivation Index (Índice Brasileiro de Privação – IBP). Methods: Dataset on smoking were obtained from the Surveillance of Risk and Protective Factors for Noncommunicable Diseases by Survey (Vigitel) system for the 26 capitals and the Federal District, in the period from 2010 to 2013. The IBP classifies the census sectors according to indicators such as: income less than ½ minimum wage, illiterate population and without sanitary sewage. In the North and Northeast regions, the census sectors were grouped into four categories (low, medium, high and very high deprivation) and in the South, Southeast and Midwest regions into three (low, medium and high deprivation). Prevalence estimates of adult smokers were obtained using the indirect estimation method in small areas. To calculate the prevalence ratios, Poisson models are used. Results: The positive association between prevalence and deprivation of census sector categories was found in 16 (59.3%) of the 27 cities. In nine (33.3%) cities, the sectors with the greatest deprivation had a higher prevalence of smokers when compared to those with the least deprivation, and in two (7.4%) there were no differences. In Aracaju, Belém, Fortaleza, João Pessoa, Macapá and Salvador, the prevalence of adult smokers was three times higher in the group of sectors with greater deprivation compared to those with less deprivation. Conclusion: Sectors with greater social deprivation had a higher prevalence of smoking, compared with less deprivation, pointing to social inequalities. Objective 2 Índice IBP. . IBP) Methods Vigitel (Vigitel 201 2013 as wage sewage low, low (low South areas ratios used Results 1 59.3% 593 59 3 (59.3% cities 33.3% 333 33 (33.3% 7.4% 74 7 4 (7.4% differences Aracaju Belém Fortaleza Pessoa Salvador Conclusion inequalities 20 59.3 5 (59.3 33.3 (33.3 7.4 (7.4 59. (59. 33. (33. 7. (7. (59 (33 (7 (5 (3 (

RESUMO Objetivo: Estimar as prevalências de adultos fumante nas 26 capitais e no Distrito Federal segundo o Índice Brasileiro de Privação. Métodos: Os dados sobre tabagismo foram obtidos junto ao sistema de Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito (Vigitel) para as 26 capitais e o Distrito Federal, no período de 2010 a 2013. O Índice Brasileiro de Privação classifica os setores censitários segundo indicadores como: renda menor que meio salário mínimo, população não alfabetizada e sem esgotamento sanitário. Nas regiões Norte e Nordeste, os setores censitários foram agrupados em quatro categorias (baixa, média, alta e muito alta privação) e, nas regiões Sul, Sudeste e Centro-Oeste, em três (baixa, média e alta privação). As estimativas de prevalências de adultos fumantes foram obtidas pelo método indireto de estimação em pequenas áreas. Para o cálculo das razões de prevalências, empregram-se modelos de Poisson. Resultados: A associação positiva entre a prevalência e a privação das categorias de setores censitários foi encontrada em 16 (59,3%) das 27 cidades. Em nove (33,3%) cidades, os setores de maior privação apresentaram maior prevalência de fumantes quando comparados aos de menor privação e, em duas (7,4%), não apresentaram diferenças. Em Aracaju, Belém, Fortaleza, João Pessoa, Macapá e Salvador, as prevalências de adultos fumantes foram três vezes maiores no grupo de setores com maior privação em relação aos de menor privação. Conclusão: Setores de maior privação social apresentaram maiores prevalências de tabagismo, comparados com menor privação, apontando desigualdades sociais. Objetivo 2 Métodos Vigitel (Vigitel 201 2013 como mínimo sanitário Nordeste baixa, baixa (baixa Sul CentroOeste, CentroOeste Centro Oeste, Oeste Centro-Oeste . áreas empregramse empregram se Poisson Resultados 1 59,3% 593 59 3 (59,3% cidades 33,3% 333 33 (33,3% 7,4%, 74 7,4% , 7 4 (7,4%) diferenças Aracaju Belém Fortaleza Pessoa Salvador Conclusão sociais 20 59,3 5 (59,3 33,3 (33,3 7,4 (7,4% 59, (59, 33, (33, 7, (7,4 (59 (33 (7, (5 (3 (7 (

RESUMO Objetivo: Estimar as prevalências de adultos fumante nas 26 capitais e no Distrito Federal segundo o Índice Brasileiro de Privação. Métodos: Os dados sobre tabagismo foram obtidos junto ao sistema de Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito (Vigitel) para as 26 capitais e o Distrito Federal, no período de 2010 a 2013. O Índice Brasileiro de Privação classifica os setores censitários segundo indicadores como: renda menor que meio salário mínimo, população não alfabetizada e sem esgotamento sanitário. Nas regiões Norte e Nordeste, os setores censitários foram agrupados em quatro categorias (baixa, média, alta e muito alta privação) e, nas regiões Sul, Sudeste e Centro-Oeste, em três (baixa, média e alta privação). As estimativas de prevalências de adultos fumantes foram obtidas pelo método indireto de estimação em pequenas áreas. Para o cálculo das razões de prevalências, empregram-se modelos de Poisson. Resultados: A associação positiva entre a prevalência e a privação das categorias de setores censitários foi encontrada em 16 (59,3%) das 27 cidades. Em nove (33,3%) cidades, os setores de maior privação apresentaram maior prevalência de fumantes quando comparados aos de menor privação e, em duas (7,4%), não apresentaram diferenças. Em Aracaju, Belém, Fortaleza, João Pessoa, Macapá e Salvador, as prevalências de adultos fumantes foram três vezes maiores no grupo de setores com maior privação em relação aos de menor privação. Conclusão: Setores de maior privação social apresentaram maiores prevalências de tabagismo, comparados com menor privação, apontando desigualdades sociais.

ABSTRACT Objective: To estimate the prevalence of adult smokers in the 26 capitals and the Federal District according to the Brazilian Deprivation Index (Índice Brasileiro de Privação – IBP). Methods: Dataset on smoking were obtained from the Surveillance of Risk and Protective Factors for Noncommunicable Diseases by Survey (Vigitel) system for the 26 capitals and the Federal District, in the period from 2010 to 2013. The IBP classifies the census sectors according to indicators such as: income less than ½ minimum wage, illiterate population and without sanitary sewage. In the North and Northeast regions, the census sectors were grouped into four categories (low, medium, high and very high deprivation) and in the South, Southeast and Midwest regions into three (low, medium and high deprivation). Prevalence estimates of adult smokers were obtained using the indirect estimation method in small areas. To calculate the prevalence ratios, Poisson models are used. Results: The positive association between prevalence and deprivation of census sector categories was found in 16 (59.3%) of the 27 cities. In nine (33.3%) cities, the sectors with the greatest deprivation had a higher prevalence of smokers when compared to those with the least deprivation, and in two (7.4%) there were no differences. In Aracaju, Belém, Fortaleza, João Pessoa, Macapá and Salvador, the prevalence of adult smokers was three times higher in the group of sectors with greater deprivation compared to those with less deprivation. Conclusion: Sectors with greater social deprivation had a higher prevalence of smoking, compared with less deprivation, pointing to social inequalities.

RESUMO Objetivo: Analisar a mortalidade prematura por doenças crônicas não transmissíveis (DCNT) nas capitais brasileiras e Distrito Federal (DF) após redistribuição das causas garbage, e a evolução temporal segundo estratos de privação social nos triênios 2010 a 2012 e 2017 a 2019. Métodos: Foram aplicadas correções ao Sistema de Informação sobre Mortalidade (SIM), sendo empregada metodologia para redistribuição das causas garbage (CG). As taxas de mortalidade prematura por DCNT padronizadas por idade foram estimadas. Foram analisadas as diferenças entre as taxas de mortalidade por DCNT segundo categorias do Índice Brasileiro de Privação (IBP) e entre os triênios. Resultados: No conjunto das capitais, as taxas aumentaram entre 8 e 12% após a redistribuição de CG, e os maiores acréscimos ocorreram em áreas de alta privação: 11,9 e 11,4%, triênios 1 e 2, respectivamente. Houve variabilidade entre as capitais. Observou-se redução das taxas em todos os estratos de privação entre os triênios, sendo maior decréscimo no estrato de baixa privação (-18,2%), e menor no estrato de alta privação (-7,5%). Conclusão: A redistribuição de CG representou aumento das taxas de mortalidade, sendo maior nos estratos de maior privação social. Via de regra, observou-se gradiente positivo de mortalidade com o aumento da privação social. A análise da evolução temporal evidenciou decréscimo da mortalidade por DCNT entre os triênios, sobretudo em áreas de menor privação social. Objetivo (DCNT DF (DF 201 2019 Métodos SIM, SIM , (SIM) CG. . (CG) estimadas IBP (IBP Resultados 12 119 11 9 11, 114 4 11,4% 2 respectivamente Observouse Observou se 18,2%, 182 18,2% 18 (-18,2%) 7,5%. 75 7,5% 7 5 (-7,5%) Conclusão regra observouse observou 20 (SIM (CG 11,4 18,2 (-18,2% 7,5 (-7,5% 18, (-18,2 7, (-7,5 (-18, (-7, (-18 (-7 (-1 (- (

ABSTRACT Objective: To analyze premature mortality due to noncommunicable chronic diseases (NCDs) in Brazilian capitals and the Federal District (DF) after redistribution of garbage causes and the temporal evolution according to social deprivation strata in the 2010 to 2012 and 2017 to 2019 triennia. Methods: Corrections were applied to the Mortality Information System (Sistema de Informação sobre Mortalidade – SIM) data such as the redistribution of garbage codes (GC). Premature mortality rates due to NCDs were calculated and standardized by age. The differences among NCDs mortality rates were analyzed according to the Brazilian Deprivation Index (Índice Brasileiro de Privação – IBP) categories and between the three-year periods. Results: In the capitals as a whole, rates increased between 8 and 12% after GC redistribution and the greatest increases occurred in areas of high deprivation: 11.9 and 11.4%, triennia 1 and 2, respectively. There was variability between the capitals. There was a reduction in rates in all strata of deprivation between the three-year periods, with the greatest decrease in the stratum of low deprivation (-18.2%) and the lowest in the stratum of high deprivation (-7.5%). Conclusion: The redistribution of GC represented an increase in mortality rates, being higher in the strata of greater social deprivation. As a rule, a positive gradient of mortality was observed with increasing social deprivation. The analysis of the temporal evolution showed a decrease in mortality from NCDs between the triennia, especially in areas of lower social deprivation. Objective (NCDs DF (DF 201 Methods Sistema SIM GC. . (GC) age Índice IBP threeyear three year periods Results whole 12 119 11 9 11. 114 4 11.4% 2 respectively 18.2% 182 18 (-18.2% 7.5%. 75 7.5% 7 5 (-7.5%) Conclusion rule 20 (GC 11.4 18.2 (-18.2 7.5 (-7.5% 18. (-18. 7. (-7.5 (-18 (-7. (-1 (-7 (- (

RESUMO Objetivo: Analisar a mortalidade prematura por doenças crônicas não transmissíveis (DCNT) nas capitais brasileiras e Distrito Federal (DF) após redistribuição das causas garbage, e a evolução temporal segundo estratos de privação social nos triênios 2010 a 2012 e 2017 a 2019. Métodos: Foram aplicadas correções ao Sistema de Informação sobre Mortalidade (SIM), sendo empregada metodologia para redistribuição das causas garbage (CG). As taxas de mortalidade prematura por DCNT padronizadas por idade foram estimadas. Foram analisadas as diferenças entre as taxas de mortalidade por DCNT segundo categorias do Índice Brasileiro de Privação (IBP) e entre os triênios. Resultados: No conjunto das capitais, as taxas aumentaram entre 8 e 12% após a redistribuição de CG, e os maiores acréscimos ocorreram em áreas de alta privação: 11,9 e 11,4%, triênios 1 e 2, respectivamente. Houve variabilidade entre as capitais. Observou-se redução das taxas em todos os estratos de privação entre os triênios, sendo maior decréscimo no estrato de baixa privação (-18,2%), e menor no estrato de alta privação (-7,5%). Conclusão: A redistribuição de CG representou aumento das taxas de mortalidade, sendo maior nos estratos de maior privação social. Via de regra, observou-se gradiente positivo de mortalidade com o aumento da privação social. A análise da evolução temporal evidenciou decréscimo da mortalidade por DCNT entre os triênios, sobretudo em áreas de menor privação social.

ABSTRACT Objective: To analyze premature mortality due to noncommunicable chronic diseases (NCDs) in Brazilian capitals and the Federal District (DF) after redistribution of garbage causes and the temporal evolution according to social deprivation strata in the 2010 to 2012 and 2017 to 2019 triennia. Methods: Corrections were applied to the Mortality Information System (Sistema de Informação sobre Mortalidade – SIM) data such as the redistribution of garbage codes (GC). Premature mortality rates due to NCDs were calculated and standardized by age. The differences among NCDs mortality rates were analyzed according to the Brazilian Deprivation Index (Índice Brasileiro de Privação – IBP) categories and between the three-year periods. Results: In the capitals as a whole, rates increased between 8 and 12% after GC redistribution and the greatest increases occurred in areas of high deprivation: 11.9 and 11.4%, triennia 1 and 2, respectively. There was variability between the capitals. There was a reduction in rates in all strata of deprivation between the three-year periods, with the greatest decrease in the stratum of low deprivation (-18.2%) and the lowest in the stratum of high deprivation (-7.5%). Conclusion: The redistribution of GC represented an increase in mortality rates, being higher in the strata of greater social deprivation. As a rule, a positive gradient of mortality was observed with increasing social deprivation. The analysis of the temporal evolution showed a decrease in mortality from NCDs between the triennia, especially in areas of lower social deprivation.

Objectives: To analyze premature mortality due to noncommunicable diseases (NCDs) in Brazilian capitals and the Federal District (DF) according to the redistribution of garbage causes and the temporal evolution according to social deprivation strata in the trienniums 2010 to 2012 and 2017 to 2019. Methods: Corrections were applied to the Mortality Information System (SIM) such as: proportional redistribution of ignored and blank data and garbage causes (GC). Municipal premature mortality rates from NCDs were calculated using the local empirical Bayesian estimator and standardized by age. Differences between NCD mortality rates according to the Brazilian Deprivation Index (IBP) categories and between the three-year periods were analyzed. Results: In the capitals as a whole, rates increased between 8 and 12% after the GC redistribution and the greatest increases occurred in areas of high deprivation: 11.9% and 11.4%, triennia 1 and 2. There was variability between the capitals. There was a reduction in rates in all strata of deprivation between the three-year periods, with the greatest decrease in the stratum of low deprivation (-18.2%) and the lowest in the stratum of high deprivation (-7.5%). Conclusion: The redistribution of GC represented an increase in mortality rates, being higher in the strata of greater social deprivation. As a rule, a positive gradient of mortality was observed with increasing social deprivation. The analysis of the temporal evolution showed a decrease in mortality from NCDs between the three years, especially in areas of less social deprivation.

Objetivos: Analisar a mortalidade prematura por doenças crônicas não transmissíveis (DCNT) nas capitais brasileiras e Distrito Federal (DF) segundo redistribuição das causas garbage e a evolução temporal segundo estratos de privação social nos triênios 2010 a 2012 e 2017 a 2019. Métodos: Foram aplicadas correções ao Sistema de Informação sobre Mortalidade (SIM) como: redistribuição proporcional de dados ignorados e em branco, e das causas garbage (CG). As taxas municipais de mortalidade prematura por DCNT foram calculadas pelo estimador bayesiano empírico local e padronizadas por idade. Foram analisadas diferenças entre as taxas de mortalidade por DCNT segundo categorias do Índice Brasileiro de Privação (IBP) e entre os triênios. Resultados: No conjunto das capitais, as taxas aumentaram entre 8 a 12% após a redistribuição de CG e os maiores acréscimos ocorreram em áreas de alta privação: 11,9% e 11,4%, triênios 1 e 2. Houve variabilidade entre as capitais. Observou-se redução das taxas em todos os estratos de privação entre os triênios, sendo maior decréscimo no estrato de baixa privação (-18,2%) e menor no estrato de alta privação (-7,5%). Conclusão: A redistribuição de CG representou aumento das taxas de mortalidade, sendo maior nos estratos de maior privação social. Via de regra, observou-se gradiente positivo de mortalidade com o aumento da privação social. A análise da evolução temporal evidenciou decréscimo da mortalidade por DCNT entre os triênios, sobretudo em áreas de menor privação social.

ABSTRACT OBJECTIVE Summarize the literature on the relationship between composite socioeconomic indicators and mortality in different geographical areas of Brazil. METHODS This scoping review included articles published between January 1, 2000, and August 31, 2020, retrieved by means of a bibliographic search carried out in the Medline, Scopus, Web of Science, and Lilacs databases. Studies reporting on the association between composite socioeconomic indicators and all-cause, or specific cause of death in any age group in different geographical areas were selected. The review summarized the measures constructed, their associations with the outcomes, and potential study limitations. RESULTS Of the 77 full texts that met the inclusion criteria, the study reviewed 24. The area level of composite socioeconomic indicators analyzed comprised municipalities (n = 6), districts (n = 5), census tracts (n = 4), state (n = 2), country (n = 2), and other areas (n = 5). Six studies used composite socioeconomic indicators such as the Human Development Index, Gross Domestic Product, and the Gini Index; the remaining 18 papers created their own socioeconomic measures based on sociodemographic and health indicators. Socioeconomic status was inversely associated with higher rates of all-cause mortality, external cause mortality, suicide, homicide, fetal and infant mortality, respiratory and circulatory diseases, stroke, infectious and parasitic diseases, malnutrition, gastroenteritis, and oropharyngeal cancer. Higher mortality rates due to colorectal cancer, leukemia, a general group of neoplasms, traffic accident, and suicide, in turn, were observed in less deprived areas and/or those with more significant socioeconomic development. Underreporting of death and differences in mortality coverage in Brazilian areas were cited as the main limitation. CONCLUSIONS Studies analyzed mortality inequalities in different geographical areas by means of composite socioeconomic indicators, showing that the association directions vary according to the mortality outcome. But studies on all-cause mortality and at the census tract level remain scarce. The results may guide the development of new composite socioeconomic indicators for use in mortality inequality analysis.

ABSTRACT OBJECTIVE To compare the death counts from three sources of information on mortality available in Brazil in 2010, the Mortality Information System (SIM - Sistema de Informações sobre Mortalidade ), Civil Registration Statistic System (RC - Sistema de Estatísticas de Resgistro Civil ), and the 2010 Demographic Census at various geographical levels, and to confirm the association between municipal socioeconomic characteristics and the source which showed the highest death count. METHODS This is a descriptive and comparative study of raw data on deaths in the SIM, RC and 2010 Census databases, the latter held in Brazilian states and municipalities between August 2009 and July 2010. The percentage of municipalities was confirmed by the database showing the highest death count. The association between the source of the highest death count and socioeconomic indicators - the Índice de Privação Brasileiro (IBP – Brazilian Deprivation Index) and Índice de Desenvolvimento Humano Municipal (IHDM – Municipal Human Development Index) - was performed by bivariate choropleth and Moran Local Index of Spatial Association (LISA) cluster maps. RESULTS Confirmed that the SIM is the database with the highest number of deaths counted for all Brazilian macroregions, except the North, in which the highest coverage was from the 2010 Census. Based on the indicators proposed, in general, the Census showed a higher coverage of deaths than the SIM and the RC in the most deprived (highest IBP values) and less developed municipalities (lowest IDHM values) in the country. CONCLUSION The results highlight regional inequalities in how the databases chosen for this study cover death records, and the importance of maintaining the issue of mortality on the basic census questionnaire.

ABSTRACT OBJECTIVE To compare the death counts from three sources of information on mortality available in Brazil in 2010, the Mortality Information System (SIM - Sistema de Informações sobre Mortalidade ), Civil Registration Statistic System (RC - Sistema de Estatísticas de Resgistro Civil ), and the 2010 Demographic Census at various geographical levels, and to confirm the association between municipal socioeconomic characteristics and the source which showed the highest death count. METHODS This is a descriptive and comparative study of raw data on deaths in the SIM, RC and 2010 Census databases, the latter held in Brazilian states and municipalities between August 2009 and July 2010. The percentage of municipalities was confirmed by the database showing the highest death count. The association between the source of the highest death count and socioeconomic indicators - the Índice de Privação Brasileiro (IBP – Brazilian Deprivation Index) and Índice de Desenvolvimento Humano Municipal (IHDM – Municipal Human Development Index) - was performed by bivariate choropleth and Moran Local Index of Spatial Association (LISA) cluster maps. RESULTS Confirmed that the SIM is the database with the highest number of deaths counted for all Brazilian macroregions, except the North, in which the highest coverage was from the 2010 Census. Based on the indicators proposed, in general, the Census showed a higher coverage of deaths than the SIM and the RC in the most deprived (highest IBP values) and less developed municipalities (lowest IDHM values) in the country. CONCLUSION The results highlight regional inequalities in how the databases chosen for this study cover death records, and the importance of maintaining the issue of mortality on the basic census questionnaire.

ABSTRACT OBJECTIVE Summarize the literature on the relationship between composite socioeconomic indicators and mortality in different geographical areas of Brazil. METHODS This scoping review included articles published between January 1, 2000, and August 31, 2020, retrieved by means of a bibliographic search carried out in the Medline, Scopus, Web of Science, and Lilacs databases. Studies reporting on the association between composite socioeconomic indicators and all-cause, or specific cause of death in any age group in different geographical areas were selected. The review summarized the measures constructed, their associations with the outcomes, and potential study limitations. RESULTS Of the 77 full texts that met the inclusion criteria, the study reviewed 24. The area level of composite socioeconomic indicators analyzed comprised municipalities (n = 6), districts (n = 5), census tracts (n = 4), state (n = 2), country (n = 2), and other areas (n = 5). Six studies used composite socioeconomic indicators such as the Human Development Index, Gross Domestic Product, and the Gini Index; the remaining 18 papers created their own socioeconomic measures based on sociodemographic and health indicators. Socioeconomic status was inversely associated with higher rates of all-cause mortality, external cause mortality, suicide, homicide, fetal and infant mortality, respiratory and circulatory diseases, stroke, infectious and parasitic diseases, malnutrition, gastroenteritis, and oropharyngeal cancer. Higher mortality rates due to colorectal cancer, leukemia, a general group of neoplasms, traffic accident, and suicide, in turn, were observed in less deprived areas and/or those with more significant socioeconomic development. Underreporting of death and differences in mortality coverage in Brazilian areas were cited as the main limitation. CONCLUSIONS Studies analyzed mortality inequalities in different geographical areas by means of composite socioeconomic indicators, showing that the association directions vary according to the mortality outcome. But studies on all-cause mortality and at the census tract level remain scarce. The results may guide the development of new composite socioeconomic indicators for use in mortality inequality analysis.

RESUMO: Objetivo: Comparar a distribuição de indicadores de doenças crônicas não transmissíveis (DCNT) entre mulheres adultas beneficiárias e não beneficiárias do Programa Bolsa Família (PBF) nas capitais brasileiras. Métodos: Análise de dados do Sistema de Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito Telefônico (Vigitel) em 2016 e 2017. Foram estimados as razões de prevalência (RP) brutas e ajustadas e seus respectivos intervalos de confiança usando o modelo de regressão de Poisson. Resultados: Mulheres do PBF tem menor escolaridade, são mais jovens e vivem com maior frequência nas regiões Nordeste e Norte do país. Prevalências mais elevadas de fatores de risco foram encontradas nas mulheres beneficiárias do PBF. A RP ajustada por idade das mulheres com BF foram: fumantes (RP = 1,98), excesso de peso (RP = 1,21), obesidade (RP = 1,63), frutas e hortaliças (RP = 0,63), consumo de refrigerantes (RP = 1,68), consumo de feijão (RP = 1,25), prática de atividade física no lazer (RP = 0,65), atividade física no domicílio (RP = 1,35), tempo assistindo à TV (RP = 1,37), autoavaliação do estado de saúde ruim (RP = 2,04), mamografia (RP = 0,86), Papanicolau (RP = 0,91), hipertensão (RP = 1,46) e diabetes (RP = 1,66). Quando comparadas as mulheres entre estratos de mesma escolaridade, as diferenças entre os fatores de risco foram reduzidas. Conclusão: Piores indicadores entre mulheres que recebem BF refletem desigualdades sociais inerentes a esse grupo mais vulnerável. O estudo evidencia também que o PBF está sendo destinado às mulheres mais vulneráveis.

ABSTRACT: Objective: To compare the distribution of chronic non-communicable diseases (CNCD) indicators among adult female beneficiaries and non-beneficiaries of the Bolsa Família Program (BFP) in Brazilian capitals. Methods: Analysis of Vigitel telephone survey data in 2016 and 2017. Gross and adjusted prevalence ratios (PR) and their respective confidence intervals were estimated using Poisson Regression model. Results: Women with BF have lower schooling, are young people, live more frequently in the Northeast and North of the country. Higher prevalence of risk factors were found in woman receiving BF. The adjusted PR of the BF women were: smokers (PR = 1.98), overweight (PR = 1.21), obesity (PR = 1.63), fruits and vegetables (PR = 0.63), consumption of soft drinks (PR = 1.68), bean consumption (PR = 1.25), physical activity at leisure (PR = 0.65), physical activity at home (PR = 1.35), time watching TV (PR = 1.37), self-assessment of poor health status (PR =2.04), mammography (PR = 0.86), Pap smears (PR = 0.91), hypertension (PR = 1.46) and diabetes (PR = 1,66). When women were compared among strata of the same schooling, these differences were reduced. Conclusion: Worst indicators among women receiving BF reflect social inequalities inherent in this most vulnerable group. The study also shows that BF is being targeted at the most vulnerable women.

RESUMO: Objetivo: Comparar a distribuição de indicadores de doenças crônicas não transmissíveis (DCNT) entre mulheres adultas beneficiárias e não beneficiárias do Programa Bolsa Família (PBF) nas capitais brasileiras. Métodos: Análise de dados do Sistema de Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito Telefônico (Vigitel) em 2016 e 2017. Foram estimados as razões de prevalência (RP) brutas e ajustadas e seus respectivos intervalos de confiança usando o modelo de regressão de Poisson. Resultados: Mulheres do PBF tem menor escolaridade, são mais jovens e vivem com maior frequência nas regiões Nordeste e Norte do país. Prevalências mais elevadas de fatores de risco foram encontradas nas mulheres beneficiárias do PBF. A RP ajustada por idade das mulheres com BF foram: fumantes (RP = 1,98), excesso de peso (RP = 1,21), obesidade (RP = 1,63), frutas e hortaliças (RP = 0,63), consumo de refrigerantes (RP = 1,68), consumo de feijão (RP = 1,25), prática de atividade física no lazer (RP = 0,65), atividade física no domicílio (RP = 1,35), tempo assistindo à TV (RP = 1,37), autoavaliação do estado de saúde ruim (RP = 2,04), mamografia (RP = 0,86), Papanicolau (RP = 0,91), hipertensão (RP = 1,46) e diabetes (RP = 1,66). Quando comparadas as mulheres entre estratos de mesma escolaridade, as diferenças entre os fatores de risco foram reduzidas. Conclusão: Piores indicadores entre mulheres que recebem BF refletem desigualdades sociais inerentes a esse grupo mais vulnerável. O estudo evidencia também que o PBF está sendo destinado às mulheres mais vulneráveis.

ABSTRACT: Objective: To compare the distribution of chronic non-communicable diseases (CNCD) indicators among adult female beneficiaries and non-beneficiaries of the Bolsa Família Program (BFP) in Brazilian capitals. Methods: Analysis of Vigitel telephone survey data in 2016 and 2017. Gross and adjusted prevalence ratios (PR) and their respective confidence intervals were estimated using Poisson Regression model. Results: Women with BF have lower schooling, are young people, live more frequently in the Northeast and North of the country. Higher prevalence of risk factors were found in woman receiving BF. The adjusted PR of the BF women were: smokers (PR = 1.98), overweight (PR = 1.21), obesity (PR = 1.63), fruits and vegetables (PR = 0.63), consumption of soft drinks (PR = 1.68), bean consumption (PR = 1.25), physical activity at leisure (PR = 0.65), physical activity at home (PR = 1.35), time watching TV (PR = 1.37), self-assessment of poor health status (PR =2.04), mammography (PR = 0.86), Pap smears (PR = 0.91), hypertension (PR = 1.46) and diabetes (PR = 1,66). When women were compared among strata of the same schooling, these differences were reduced. Conclusion: Worst indicators among women receiving BF reflect social inequalities inherent in this most vulnerable group. The study also shows that BF is being targeted at the most vulnerable women.

RESUMO: Objetivo: Avaliar a prevalência dos indicadores de doenças crônicas não transmíssiveis (DCNT), incluindo exames laboratoriais, na população de mulheres brasileiras em idade reprodutiva segundo o recebimento do benefício Bolsa Família (BF). Métodos: Consideraram-se as 3.131 mulheres de 18 a 49 anos que participaram da submamostra de exames laboratoriais da Pesquisa Nacional de Saúde (PNS). Foram comparados indicadores entre as mulheres em idade reprodutiva (18 a 49 anos) que disseram ter ou não Bolsa Família e calculados prevalência e intervalo de confiança (IC) usando χ2 de Pearson. Resultados: Observou-se que as mulheres em idade reprodutiva beneficiárias do BF quando comparadas às não beneficiárias têm piores desfechos em saúde, como maior ocorrência de sobrepeso (33,5%) e obesidade (26,9%) (p < 0,001), hipertensão 13,4% versus 4,4% (p < 0,001), uso de tabaco (11,2%) versus 8,2% (p = 0,029), além de 6,2% perceberem sua saúde pior, em comparação a 2,4% das mulheres não beneficiárias (p<0,001). Conclusão: Diversos indicadores de DCNT tiveram pior desempenho entre as mulheres em idade reprodutiva beneficiárias do BF. Destaca-se que essa não é uma relação causal, sendo o BF um marcador de desigualdade entre mulheres. O benefício tem sido direcionado à população com maior necessidade em saúde, buscando assim reduzir iniquidades.

ABSTRACT: Objective: To evaluate the prevalence of noncommunicable disease (NCD) indicators, including laboratory tests, in the population of Brazilian women of reproductive age, according to whether or not they receive the Bolsa Família (BF) benefit. Methods: A total of 3,131 women aged 18 to 49 years old who participated in the National Health Survey (Pesquisa Nacional de Saúde ) laboratory examination sub-sample were considered. We compared indicators among women of reproductive age (18 to 49 years old) who reported receiving BF or not, and calculated prevalence and confidence intervals, using Pearson’s χ2. Results: Women of reproductive age who were beneficiaries of BF had worse health outcomes, such as a greater occurrence of being overweight (33.5%) and obese (26.9%) (p < 0.001), having hypertension (13.4% versus 4.4%, p < 0.001), used more tobacco (11.2% versus 8.2%, p = 0.029), and perceived their health as worse (6.2% versus 2.4%, p < 0.001). Conclusion: Several NCD indicators were worse among women of childbearing age who were beneficiaries of BF. It should be emphasized that this is not a causal relationship, with BF being a marker of inequalities among women. The benefit has been directed to the population with greater health needs, and seeks to reduce inequities.

RESUMO: Objetivo: Avaliar a prevalência dos indicadores de doenças crônicas não transmíssiveis (DCNT), incluindo exames laboratoriais, na população de mulheres brasileiras em idade reprodutiva segundo o recebimento do benefício Bolsa Família (BF). Métodos: Consideraram-se as 3.131 mulheres de 18 a 49 anos que participaram da submamostra de exames laboratoriais da Pesquisa Nacional de Saúde (PNS). Foram comparados indicadores entre as mulheres em idade reprodutiva (18 a 49 anos) que disseram ter ou não Bolsa Família e calculados prevalência e intervalo de confiança (IC) usando χ2 de Pearson. Resultados: Observou-se que as mulheres em idade reprodutiva beneficiárias do BF quando comparadas às não beneficiárias têm piores desfechos em saúde, como maior ocorrência de sobrepeso (33,5%) e obesidade (26,9%) (p < 0,001), hipertensão 13,4% versus 4,4% (p < 0,001), uso de tabaco (11,2%) versus 8,2% (p = 0,029), além de 6,2% perceberem sua saúde pior, em comparação a 2,4% das mulheres não beneficiárias (p<0,001). Conclusão: Diversos indicadores de DCNT tiveram pior desempenho entre as mulheres em idade reprodutiva beneficiárias do BF. Destaca-se que essa não é uma relação causal, sendo o BF um marcador de desigualdade entre mulheres. O benefício tem sido direcionado à população com maior necessidade em saúde, buscando assim reduzir iniquidades.

ABSTRACT: Objective: To evaluate the prevalence of noncommunicable disease (NCD) indicators, including laboratory tests, in the population of Brazilian women of reproductive age, according to whether or not they receive the Bolsa Família (BF) benefit. Methods: A total of 3,131 women aged 18 to 49 years old who participated in the National Health Survey (Pesquisa Nacional de Saúde ) laboratory examination sub-sample were considered. We compared indicators among women of reproductive age (18 to 49 years old) who reported receiving BF or not, and calculated prevalence and confidence intervals, using Pearson’s χ2. Results: Women of reproductive age who were beneficiaries of BF had worse health outcomes, such as a greater occurrence of being overweight (33.5%) and obese (26.9%) (p < 0.001), having hypertension (13.4% versus 4.4%, p < 0.001), used more tobacco (11.2% versus 8.2%, p = 0.029), and perceived their health as worse (6.2% versus 2.4%, p < 0.001). Conclusion: Several NCD indicators were worse among women of childbearing age who were beneficiaries of BF. It should be emphasized that this is not a causal relationship, with BF being a marker of inequalities among women. The benefit has been directed to the population with greater health needs, and seeks to reduce inequities.

ABSTRACT OBJECTIVE To describe and assess currently used area-based measures of deprivation in Brazil for health research, to the purpose of informing the development of a future small area deprivation index. METHODS We searched five electronic databases and seven websites of Brazilian research institutions and governmental agencies. Inclusion criteria were: studies proposing measures of deprivation for small areas (i.e., finer geography than country-level) in Brazil, published in English, Portuguese or Spanish. After data-extraction, results were tabulated according to the area level the deprivation measure was created for and to the dimensions of deprivation or poverty included in the measures. A narrative synthesis approach was used to summarize the measures available, highlighting their utility for public health research. RESULTS A total of 7,199 records were retrieved, 126 full-text articles were assessed after inclusion criteria and a final list of 30 articles was selected. No small-area deprivation measures that have been applied to the whole of Brazil were found. Existing measures were mainly used to study infectious and parasitic diseases. Few studies used the measures to assess inequalities in mortality and no studies used the deprivation measure to evaluate the impact of social programs. CONCLUSIONS No up-to-date small area-based deprivation measure in Brazil covers the whole country. There is a need to develop such an index for Brazil to measure and monitor inequalities in health and mortality, particularly to assess progress in Brazil against the Sustainable Development Goal targets for different health outcomes, showing progress by socioeconomic groups.

ABSTRACT OBJECTIVE To describe and assess currently used area-based measures of deprivation in Brazil for health research, to the purpose of informing the development of a future small area deprivation index. METHODS We searched five electronic databases and seven websites of Brazilian research institutions and governmental agencies. Inclusion criteria were: studies proposing measures of deprivation for small areas (i.e., finer geography than country-level) in Brazil, published in English, Portuguese or Spanish. After data-extraction, results were tabulated according to the area level the deprivation measure was created for and to the dimensions of deprivation or poverty included in the measures. A narrative synthesis approach was used to summarize the measures available, highlighting their utility for public health research. RESULTS A total of 7,199 records were retrieved, 126 full-text articles were assessed after inclusion criteria and a final list of 30 articles was selected. No small-area deprivation measures that have been applied to the whole of Brazil were found. Existing measures were mainly used to study infectious and parasitic diseases. Few studies used the measures to assess inequalities in mortality and no studies used the deprivation measure to evaluate the impact of social programs. CONCLUSIONS No up-to-date small area-based deprivation measure in Brazil covers the whole country. There is a need to develop such an index for Brazil to measure and monitor inequalities in health and mortality, particularly to assess progress in Brazil against the Sustainable Development Goal targets for different health outcomes, showing progress by socioeconomic groups.