Prevalence of adult smokers in Brazilian capitals according to socioeconomic deprivation.

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.

Time trends and social inequalities in infant and young child feeding practices: national estimates from Brazil's Food and Nutrition Surveillance System, 2008-2019.

OBJECTIVE: To describe the time trends and socio-economic inequalities in infant and young child feeding practices in accordance with the Brazilian deprivation index (BDI). DESIGN: This time-series study analysed the prevalence of multiple breast-feeding and complementary feeding indicators based on data from the Brazilian Food and Nutrition Surveillance System, 2008-2019. Prais-Winsten regression models were used to analyse time trends. Annual percent change (APC) and 95 % CI were calculated. SETTING: Primary health care services, Brazil. PARTICIPANTS: Totally, 911 735 Brazilian children under 2 years old. RESULTS: Breast-feeding and complementary feeding practices differed between the extreme BDI quintiles. Overall, the results were more favourable in the municipalities with less deprivation (Q1). Improvements in some complementary feeding indicators were observed over time and evidenced such disparities: minimum dietary diversity (Q1: Δ 47·8-52·2 %, APC + 1·44, P = 0·006), minimum acceptable diet (Q1: Δ 34·5-40·5 %, APC + 5·17, P = 0·004) and consumption of meat and/or eggs (Q1: Δ 59·7-80·3 %, APC + 6·26, P < 0·001; and Q5: Δ 65·7-70·7 %, APC + 2·20, P = 0·041). Stable trends in exclusive breast-feeding and decreasing trends in the consumption of sweetened drinks and ultra-processed foods were also observed regardless the level of the deprivation. CONCLUSIONS: Improvements in some complementary food indicators were observed over time. However, the improvements were not equally distributed among the BDI quintiles, with children from the municipalities with less deprivation benefiting the most.

Prevalence of adult smokers in Brazilian capitals according to socioeconomic deprivation / Prevalência de fumantes adultos nas capitais brasileiras, segundo privação socioeconômica

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: 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.

Bolsa Familia Program and Perinatal Outcomes: NISAMI Cohort.

This study aimed to assess the impact of the Bolsa Familia Program on perinatal outcomes of pregnant women. A cohort study was conducted with pregnant women supported by prenatal services at 17 Family Health Units in Bahia, Brazil. A previously tested structured questionnaire, which has sociodemographic, economic, prenatal care, lifestyle, and nutritional variables, has been used to collect data. The outcomes included premature birth and low birth weight. A hierarchical conceptual model was constructed, and logistic regression analysis was performed. From a total of 1173 pregnant women, the identified average age was 25.44 years and 34.10% had pre-gestational overweight. The non-beneficiary pregnant women presented a 1.54 (95% CI = 0.46-5.09) times higher chance of giving birth to children with low weight and a 1.03 (95% CI = 95% CI = 0.53-2.00) times chance of premature birth when compared to the beneficiary group. In the multilevel model, some variables were statistically significant, such as age between 18 and 24 years (p = 0.003), age greater than or equal to 35 years (p = 0.025), family income (p = 0.008), employment status (p = 0.010), and maternal height (p = 0.009). The Bolsa Familia Program, as an integrated strategy of social inclusion and economic development, is suggested to exert a protective effect on the health of mother-concept binomial.

Time trends and social inequalities in child malnutrition: nationwide estimates from Brazil's food and nutrition surveillance system, 2009-2017.

OBJECTIVE: In Brazil, national estimates of childhood malnutrition have not been updated since 2006. The use of health information systems is an important complementary data source for analysing time trends on health and nutrition. This study aimed to examine temporal trends and socio-demographic inequalities in the prevalence of malnutrition in children attending primary health care services between 2009 and 2017. DESIGN: Time trends study based on data from Brazil's Food and Nutrition Surveillance System. Malnutrition prevalence (stunting, wasting, overweight and double burden) was annually estimated by socio-demographic variables. Prais-Winsten regression models were used to analyse time trends. Annual percent change (APC) and 95 % CI were calculated. SETTING: Primary health care services, Brazil. PARTICIPANTS: Children under 5 years old. RESULTS: In total, 15,239,753 children were included. An increase in the prevalence of overweight (APC = 3·4 %; P = 0·015) and a decline in the prevalence of wasting (-6·2 %; P = 0·002) were observed. The prevalence of stunting (-3·2 %, P = 0·359) and double burden (-1·4 %, P = 0·630) had discrete and non-significant reductions. Despite the significant reduction in the prevalence of undernutrition among children in the most vulnerable subgroups (black, conditional cash transfer's recipients and residents of poorest and less developed areas), high prevalence of stunting and wasting persist alongside a disproportionate increase in the prevalence of overweight in these groups. CONCLUSIONS: The observed pattern in stunting (high and persistent prevalence) and increase in overweight elucidate setbacks in advances already observed in previous periods and stresses the need for social and political strategies to address multiple forms of malnutrition.

Social position and anthropometric status among adults in the ELSA-Brasil study: a latent class analysis.

The objective of the present study was to evaluate the association between social position and anthropometric status in women and men Brazilian adult. This was a cross-sectional study that used baseline data collected from 2008 to 2010 for the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil, in Portuguese), in the six major Brazilian state capital cities. A total of 15,105 active and retired civil servants aged from 35 to 74 years. Two latent variables were defined by latent class analysis, social position and anthropometric status. Both constructs and the analyses were separately evaluated by sex. Associations were assessed using multivariate logistic regression analysis with adjustment for age, self-reported skin color/race, and marital status. Around 44% of the women and 26% of the men were classified as overweight or obese. Social position tended to be lower in women (43.2%) and higher among men (40.4%). Heavier women were more likely to be black and brown-skinned, whereas slimmer women were more likely to be white. After adjustment, women's weight increased as social position decreased (OR = 1.52; 95%CI: 1.36-1.70), whereas in men weight decreased as social position decreased (OR = 0.87; 95%CI: 0.76-0.99). Social position affected the anthropometric status of women and men differently, with body patterns also being affected by ethnicity/skin color, showing the potentiality of taking the intersectional perspective when investigating the possible social determinants of the phenomenon.

The effect of laboratory testing on COVID-19 monitoring indicators: an analysis of the 50 countries with the highest number of cases. / O efeito da testagem laboratorial nos indicadores de acompanhamento da COVID-19: uma análise dos 50 países com maior número de casos.

OBJECTIVE: To analyse how testing the population influences the health indicators used to monitor the COVID-19 pandemic in the 50 countries with the highest number of diagnosed cases. METHODS: This was an ecological study using secondary data retrieved on 8/19/2020. Cumulative incidence, mortality rate, case-fatality rate, and proportion of positive tests were calculated. The data were described and presented graphically, with their respective Spearman Correlation Coefficients. RESULTS: The testing rate varied enormously between countries. Cumulative incidence and the proportion of positive tests were correlated with the number of tests, while the mortality rate and case-fatality rate showed low correlation with this indicator. CONCLUSION: Most countries do not test enough to ensure adequate monitoring of the pandemic, and this is reflected in the quality of the indicators. Expanding the number of tests is essential, but it needs to be accompanied by other measures, such as isolation of diagnosed cases and contact tracing.

Shifts towards overweight and double burden of malnutrition among socio-economically vulnerable children: a longitudinal ecological analysis of Brazilian municipalities.

OBJECTIVE: To investigate the shifts and factors associated with different scenarios resulting from the prevalence of child stunting and overweight in Brazilian municipalities. DESIGN: This is an ecological study using municipality-level panel data of stunting and overweight prevalence and socio-economic characteristics from 2008 to 2014. The municipalities were classified according to the WHO-UNICEF prevalence thresholds for stunting and overweight and were categorised into four nutritional scenarios: no burden (prevalence of stunting < 20 % and overweight < 10 %), stunting burden (prevalence of stunting ≥ 20 % and overweight < 10 %), overweight burden (prevalence of stunting < 20 % and overweight ≥ 10 %) and double burden (prevalence of stunting ≥ 20 % and overweight ≥ 10 %). SETTING: Totally, 4443 Brazilian municipalities. PARTICIPANTS: Aggregated data of children under 5 years old enrolled in the Brazil's conditional cash transfer programme (Bolsa Família). RESULTS: A mean reduction from 14·2 % to 12·7 % in the prevalence of stunting and an increase from 17·2 % to 18·4 % in the prevalence of overweight were observed. The predominant scenarios were overweight burden and double burden. The odds of both scenarios increased with higher gross domestic product (GDP) per capita and decreased with higher unemployment rates. Stunting and double burden decreased with higher expected years of schooling, and stunting burden increased with household crowding. CONCLUSION: Our findings indicate an advanced nutrition transition stage in Brazil, associated mainly with municipal GDP per capita growth, which has contributed to increasing the burden of overweight alone or coexisting with stunting (double burden) among children in the most socio-economically vulnerable strata of the population.

Social position and anthropometric status among adults in the ELSA-Brasil study: a latent class analysis / Posição social e estado antropométrico entre adultos no estudo ELSA-Brasil: uma análise de classes latentes / Posición social y estatus antropométrico entre adultos en el estudio ELSA-Brasil: un análisis de clase latente

Abstract: The objective of the present study was to evaluate the association between social position and anthropometric status in women and men Brazilian adult. This was a cross-sectional study that used baseline data collected from 2008 to 2010 for the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil, in Portuguese), in the six major Brazilian state capital cities. A total of 15,105 active and retired civil servants aged from 35 to 74 years. Two latent variables were defined by latent class analysis, social position and anthropometric status. Both constructs and the analyses were separately evaluated by sex. Associations were assessed using multivariate logistic regression analysis with adjustment for age, self-reported skin color/race, and marital status. Around 44% of the women and 26% of the men were classified as overweight or obese. Social position tended to be lower in women (43.2%) and higher among men (40.4%). Heavier women were more likely to be black and brown-skinned, whereas slimmer women were more likely to be white. After adjustment, women's weight increased as social position decreased (OR = 1.52; 95%CI: 1.36-1.70), whereas in men weight decreased as social position decreased (OR = 0.87; 95%CI: 0.76-0.99). Social position affected the anthropometric status of women and men differently, with body patterns also being affected by ethnicity/skin color, showing the potentiality of taking the intersectional perspective when investigating the possible social determinants of the phenomenon.

Resumo: O objetivo do estudo foi avaliar a associação entre posição social e o estado antropométrico em brasileiros adultos de ambos os sexos. O estudo transversal usou dados coletados entre 2008 e 2010 pelo Estudo Longitudinal de Saúde do Adulto (ELSA-Brasil), nas seis maiores capitais brasileiras. Um total de 15.105 funcionários públicos, ativos e aposentados, de ambos os sexos, entre 35 e 74 anos de idade. Duas variáveis latentes foram definidas pela análise de classes latentes: posição social e estado antropométrico. Os construtos e análises foram avaliados separadamente por sexo. As associações foram avaliadas com o uso de análise de regressão logística multivariada, ajustada para idade, cor/raça e estado civil. Em torno de 44% das mulheres e 26% dos homens foram classificados com sobrepeso ou obesidade. A posição social tendia a ser mais baixa nas mulheres (43,2%) e mais alta nos homens (40,4%). Houve uma proporção maior de mulheres com sobrepeso ou obesidade entre as pretas e pardas, e proporção maior de mulheres magras entre as brancas. Nas mulheres, após ajustes, o peso aumentava na medida em que a posição social diminuía (OR = 1,52; IC95%: 1,36-1,70), enquanto nos homens o peso diminuía junto com a diminuição da posição social (OR = 0,87; IC95%: 0,76-0,99). A posição social afetou de maneira diferente o estado antropométrico de mulheres e homens, com perfis corporais afetados também pela raça/cor da pele, indicando o potencial de levar em conta a perspectiva interseccional ao investigar os possíveis determinantes sociais do fenômeno.

Resumen: El objetivo de este estudio fue evaluar la asociación entre posición social y estatus antropométrico de adultos brasileños de ambos sexos. Fue un estudio transversal, realizado usando datos de referencia recogidos entre 2008 y 2010, del Estudio Longitudinal Brasileño de Salud en Adultos (ELSA-Brasil), llevado a cabo en seis de las mayores capitales de estado brasileñas. Un total de 15.105 activos y jubilados, mujeres y hombres funcionarios públicos de 35 a 74 años de edad. Se definieron dos variables latentes mediante análisis de clases latentes: posición social y estatus antropométrico. Ambos constructos y análisis fueron evaluados separadamente por sexo. Las asociaciones fueron evaluadas usando una regresión logística multivariada con ajuste por edad, color de piel/raza autoinformado y estatus marital. Alrededor de un 44% de las mujeres y un 26% de los hombres fueron clasificados como con sobrepeso u obesos. La posición social tendió a ser más baja en mujeres (43,2%) y más alta entre hombres (40,4%). Las mujeres con más peso tenían más probabilidad de ser negras y mulatas/mestizas y las mujeres más delgadas tenían más probabilidad de ser blancas. En mujeres, tras el ajuste, se incrementó más el peso cuanto mayor decrecía la posición social (OR = 1,52; IC95%: 1,36-1,70), mientras en hombres el peso decrecía al igual que la posición social (OR = 0,87; IC95%: 0,76-0,99). La posición social afectó diferentemente al estatus antropométrico de mujeres y hombres, con los patrones corporales también estando afectados por etnicidad/color de piel, mostrando su potencialidad tomando en consideración la perspectiva transversal, cuando se está investigando los posibles determinantes sociales del fenómeno.

Socio-economic urban scaling properties: Influence of regional geographic heterogeneities in Brazil.

The recent efforts dedicated to understanding important features and consequences of city growth have profited from the scaling approach to urban indicators. This kind of analysis can be conveniently used to investigate the impact of geo-economic transformations, like fast urbanization and industrial development, which occurred in continental size countries (e.g., India, China, and Brazil) during the past half-century. Profiting from high quality data, this work explores how scaling relationships among urban indicators are influenced by strong regional heterogeneities in Brazil. It is based on economic, infrastructure and violence related data sets for the time interval 2002-2016. Results indicate that regional specificities related to infrastructure, economic development, and geography have a larger influence on the absolute value of the urban indexes. Regional scaling similarities and differences among Brazilian regions were also uncovered. Interesting enough, the results indicate that the richest and poorest Brazilian regions share similar scaling behavior, despite all huge different local influences. By contrast, the results for the two richest regions, with similar average values of urban indexes and the same kind of local influences have rather different scaling properties. Thus, scaling analysis suggests that distinct political solutions might be necessary to improve life's quality, even for two regions with similar average values of urban indicators.

A methodology for small area prevalence estimation based on survey data.

BACKGROUND: Brazil conducts many health surveys to provide estimates by national level, macro-regions, states, metropolitan regions and capitals. However, estimates for smaller areas are lacking due to their high cost. The Health Vulnerability Index (in Portuguese, Índice de Vulnerabilidade em Saúde, IVS) is a measure that combines socioeconomic and environmental variables in the same indicator and allows for the analysis of the characteristics of population groups residing in census tracts, grouping them into four health risk areas (low, medium, high and very high risk) in addition to showing inequalities in the epidemiological profile of different social groups. This index was developed by the Municipal Health Secretariat of Belo Horizonte to guide health planning. OBJECTIVE: The aim of the study is to produce a methodology for obtaining reliable estimates for tobacco smoking in small areas for which the IVS was not designed. METHODS: The Vigitel dataset from 2006 to 2013 was used to obtain estimates of the prevalence of smokers based on the IVS employing small area estimation methods that use data from a larger domain to obtain estimates in smaller areas. For indirect estimates, the covariates included were sanitation, housing, education, income, and social and health factors. Post-stratification weights were used according to the IVS based on the population of the 2010 census. RESULTS: From 2006 to 2009, 16.2% (95% CI: 13.6-14.8%) of the adult population in Belo Horizonte were smokers, and 14.8% (95% CI: 14.0-15.6%) were smokers between 2010 and 2013. The very high-risk population maintained a high prevalence over the same period of 21.1% (95% CI: 17.1-25.0%) between 2006 and 2009 and 20.8% (95% CI: 17.0-24.6%) between 2010 and 2013, while in the low-risk group, the prevalence in the same period fell from 14.9% (95% CI: 13.7-16.2%) to 11.8% (95% CI, 10.6-13.1%). CONCLUSIONS: The present study identified differences in the profile of smokers by the IVS in the city of Belo Horizonte. While the smoking prevalence declined in richer areas, it remained high in poor areas. This methodology can be used to produce reliable estimates for subgroups with greater vulnerability in small areas and thus subsidize the formulation, monitoring and evaluation of public health policies and programmes aimed at smoking.

Women and evaluation of inequalities in the distribution of risk factors for Chronic non-communicable diseases (NCD), Vigitel 2016-2017. / Mulheres e avaliação das desigualdades na distribuição de fatores de risco de doenças crônicas, Vigitel 2016-2017.

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.

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.

Incidence of and Factors Associated With Leprosy Among Household Contacts of Patients With Leprosy in Brazil.

Importance: Despite progress toward reducing global incidence, leprosy control remains a challenge in low- and middle-income countries. Objective: To estimate new case detection rates of leprosy among household contacts of patients with previously diagnosed leprosy and to investigate its associated risk factors. Design, Setting, and Participants: This population-based cohort study included families registered in the 100 Million Brazilian Cohort linked with nationwide registries of leprosy; data were collected from January 1, 2007, through December 31, 2014. Household contacts of patients with a previous diagnosis of leprosy from each household unit were followed up from the time of detection of the primary case to the time of detection of a subsequent case or until December 31, 2014. Data analysis was performed from May to December 2018. Exposures: Clinical characteristics of the primary case and sociodemographic factors of the household contact. Main Outcomes and Measures: Incidence of leprosy, estimated as the new case detection rate of leprosy per 100 000 household contacts at risk (person-years at risk). The association between occurrence of a subsequent leprosy case and the exposure risk factors was assessed using multilevel mixed-effects logistic regressions allowing for state- and household-specific random effects. Results: Among 42 725 household contacts (22 449 [52.5%] female; mean [SD] age, 22.4 [18.5] years) of 17 876 patients detected with leprosy, the new case detection rate of leprosy was 636.3 (95% CI, 594.4-681.1) per 100 000 person-years at risk overall and 521.9 (95% CI, 466.3-584.1) per 100 000 person-years at risk among children younger than 15 years. Household contacts of patients with multibacillary leprosy had higher odds of developing leprosy (adjusted odds ratio [OR], 1.48; 95% CI, 1.17-1.88), and the odds increased among contacts aged 50 years or older (adjusted OR, 3.11; 95% CI, 2.03-4.76). Leprosy detection was negatively associated with illiterate or preschool educational level (adjusted OR, 0.59; 95% CI, 0.38-0.92). For children, the odds were increased among boys (adjusted OR, 1.70; 95% CI, 1.20-2.42). Conclusions and Relevance: The findings in this Brazilian population-based cohort study suggest that the household contacts of patients with leprosy may have increased risk of leprosy, especially in households with existing multibacillary cases and older contacts. Public health interventions, such as contact screening, that specifically target this population appear to be needed.

Public Involvement & Engagement in health inequalities research on COVID-19 pandemic: a case study of CIDACS/FIOCRUZ BAHIA.

Introduction: Health inequalities in Brazil have deepened on Covid-19 pandemic, and the most vulnerable people were the more affected. A multidisciplinary team from Cidacs/Fiocruz Bahia developed a Social Disparities Index for Covid-19 (IDS-COVID-19) to support the evaluation of effects of health inequalities on the pandemic in Brazil. Public Involvement and Engagement were the pillars of this research because they allowed us to access first hand experiences about the social context in our country. Objectives: This paper aims to describe our Public Involvement and Engagement experience by analysing our challenges, strategies, activities, results, and lessons learned during the construction of IDS-COVID-19. Methods: The basis of the IDS-Covid-19 public engagement model was the participation of different social groups through methods and techniques that allow dialogue. Several activities and communication products supported the continuous interactions. Another guideline was the inclusion and the welcoming of participants from the beginning of the project to ensure that the participant's contributions could drive decision-making about the research. Results: Participants made several contributions to the research as a new layer of information to the Index, and improvements were made to the interactive panel. They also compromised to support the dissemination and use of the product. Eight representatives of community groups and 29 policymakers participated in our engagement activities during the project. More than 500 people were in our open webinars. In addition, more than 140 news items about IDS-Covid-19 were published in national and international media. Conclusions: We highlight as lessons learned the adaptation of some dissemination formats to the public, and the necessity of being flexible and accessible to participants. We strengthened the relationship with relevant stakeholders by exploring individual conversations by phone, WhatsApp, email, and interviews to produce a documentary that registered this whole experience. Cidacs/Fiocruz Bahia has also embedded public engagement and involvement in the study agenda.

Mulheres e avaliação das desigualdades na distribuição de fatores de risco de doenças crônicas, Vigitel 2016-2017 / Women and evaluation of inequalities in the distribution of risk factors for Chronic non-communicable diseases (NCD), Vigitel 2016-2017

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.