Estimation and probabilistic projection of age- and sex-specific mortality rates across Brazilian municipalities between 2010 and 2030.

BACKGROUND: Mortality rate estimation in small areas can be difficult due the low number of events/exposure (i.e. stochastic error). If the death records are not completed, it adds a systematic uncertainty on the mortality estimates. Previous studies in Brazil have combined demographic and statistical methods to partially overcome these issues. We estimated age- and sex-specific mortality rates for all 5,565 Brazilian municipalities in 2010 and forecasted probabilistic mortality rates and life expectancy between 2010 and 2030. METHODS: We used a combination of the Tool for Projecting Age-Specific Rates Using Linear Splines (TOPALS), Bayesian Model, Spatial Smoothing Model and an ad-hoc procedure to estimate age- and sex-specific mortality rates for all Brazilian municipalities for 2010. Then we adapted the Lee-Carter model to forecast mortality rates by age and sex in all municipalities between 2010 and 2030. RESULTS: The adjusted sex- and age-specific mortality rates for all Brazilian municipalities in 2010 reveal a distinct regional pattern, showcasing a decrease in life expectancy in less socioeconomically developed municipalities when compared to estimates without adjustments. The forecasted mortality rates indicate varying regional improvements, leading to a convergence in life expectancy at birth among small areas in Brazil. Consequently, a reduction in the variability of age at death across Brazil's municipalities was observed, with a persistent sex differential. CONCLUSION: Mortality rates at a small-area level were successfully estimated and forecasted, with associated uncertainty estimates also generated for future life tables. Our approach could be applied across countries with data quality issues to improve public policy planning.

Predictors of nutritional recovery time in children aged 6-59 months with severe acute malnutrition in Sofala Province, Mozambique: survival analysis approach.

BACKGROUND: Malnutrition is a public health problem that affects physical and psychosocial well-being. It manifests as a rapid deterioration in nutritional status and bilateral edema due to inadequate food intake or illness. METHODS: This study is a retrospective cohort of 1208 children with severe acute malnutrition (SAM) in Sofala Province from 2018 to 2022. It includes hospitalized children aged 6-59 months with SAM and related complications. The dependent variable is recovery, and the independent variables include age, sex of the child, vomiting, dehydration, hypoglycemia, nutritional edema and anthropometry. Survival curves were plotted using the Kaplan-Meier method, and bivariable and multivariable Cox regression analyses were performed. RESULTS: The crude analysis revealed significant factors for nutritional recovery in children with SAM, including age, weight, height, malaria, diarrhea and dehydration. Children under 24 months had a 28% lower likelihood of recovery. Weight below 6.16 kg decreased the likelihood by 2%, and height above 71.1 cm decreased it by 20%. Conversely, malaria, diarrhea and dehydration increased the likelihood of recovery. However, after adjustment, only diarrhea remained a significant predictor of nutritional recovery. CONCLUSION: This study found that diarrhea is a predictor of nutritional recovery in children with SAM.

Effect of cannabis and subproducts on anthropometric measures: a systematic review and meta-analysis.

BACKGROUND: Obesity poses a significant public health challenge. Research has examined the impact of cannabis and subproducts on health but varying results have hindered a consensus. AIM: This study aimed to evaluated the effects of cannabis and subproducts on body measurements. METHODS: For searching randomized controlled trials evaluating cannabis and/or subproducts use and changes in anthropometric measures, a systematic search at MEDLINE, Embase, Cochrane Library and Web of Science was conducted until March 2023. The outcomes included changes in body weight, body mass index (BMI) and waist circumference (WC). Meta-analysis was realized using R software (version 4.2.1). RESULTS: In general, cannabis use reduced weight by 1.87 kg (95% CI: -3.71 to -0.03) and WC (mean difference = -2.19, 95% CI: -4.44 to 0.06). When examining subgroups, longer follow-up periods were associated with a more pronounced BMI reduction (mean difference = -1.10, 95% CI: -2.23 to 0.03). Cannabinoid CB1 exhibited an increase in body fat (mean difference = 1.70, 95% CI: 0.66-2.74). CONCLUSION: These findings suggest that cannabis and subproducts could be considered adjuncts in obesity treatment by helping to reduce relevant anthropometric measurements.

Maternal and congenital syphilis attributable to ethnoracial inequalities: a national record-linkage longitudinal study of 15 million births in Brazil.

BACKGROUND: This study estimated ethnoracial inequalities in maternal and congenital syphilis in Brazil, understanding race as a relational category product of a sociopolitical construct that functions as an essential tool of racism and its manifestations. METHODS: We linked routinely collected data from Jan 1, 2012 to Dec 31, 2017 to conduct a population-based study in Brazil. We estimated the attributable fraction of race (skin colour) for the entire population and specific subgroups compared with White women using adjusted logistic regression. We also obtained the attributable fraction of the intersection between two social markers (race and education) and compared it with White women with more than 12 years of education as the baseline. FINDINGS: Of 15 810 488 birth records, 144 564 women had maternal syphilis and 79 580 had congenital syphilis. If all women had the same baseline risk as White women, 35% (95% CI 34·89-36·10) of all maternal syphilis and 41% (40·49-42·09) of all congenital syphilis would have been prevented. Compared with other ethnoracial categories, these percentages were higher among Parda/Brown women (46% [45·74-47·20] of maternal syphilis and 52% [51·09-52·93] of congenital syphilis would have been prevented) and Black women (61% [60·25-61·75] of maternal syphilis and 67% [65·87-67·60] of congenital syphilis would have been prevented). If all ethnoracial groups had the same risk as White women with more than 12 years of education, 87% of all maternal syphilis and 89% of all congenital syphilis would have been prevented. INTERPRETATION: Only through effective control of maternal syphilis among populations at higher risk (eg, Black and Parda/Brown women with lower educational levels) can WHO's global health initiative to eliminate mother-to-child transmission of syphilis be made feasible. Recognising that racism and other intersecting forms of oppression affect the lives of minoritised groups and advocating for actions through the lens of intersectionality is imperative for attaining and guaranteeing health equity. Achieving health equality needs to be addressed to achieve syphilis control. Given the scale and complexity of the problem (which is unlikely to be unique to Brazil), structural issues and social markers of oppression, such as race and education, must be considered to prevent maternal and congenital syphilis and improve maternal and child outcomes globally. FUNDING: Wellcome Trust, CNPq-Brazil. TRANSLATION: For the Portuguese translation of the abstract see Supplementary Materials section.

Association between food environments and fetal growth in pregnant Brazilian women.

INTRODUCTION: Birth weight is described as one of the main determinants of newborns' chances of survival. Among the associated causes, or risk factors, the mother's nutritional status strongly influences fetal growth and birth weight outcomes of the concept. This study evaluates the association between food deserts, small for gestational age (SGA), large for gestational age (LGA) and low birth weight (LBW) newborns. DESIGN: This is a cross-sectional population study, resulting from individual data from the Live Birth Information System (SINASC), and commune data from mapping food deserts (CAISAN) in Brazil. The newborn's size was defined as follows: appropriate for gestational age (between 10 and 90th percentile), SGA (< 10th percentile), LGA (> 90th percentile), and low birth weight < 2,500 g. To characterize food environments, we used tertiles of the density of establishments which sell in natura and ultra-processed foods. Logistic regression modeling was conducted to investigate the associations of interest. RESULTS: We analyzed 2,632,314 live births in Brazil in 2016, after appropriate adjustments, women living in municipalities with limited availability of fresh foods had a higher chance of having newborns with SGA [OR2nd tertile: 1.06 (1.05-1.07)] and LBW [OR2nd tertile: 1.11 (1.09-1.12)]. Conversely, municipalities with greater availability of ultra-processed foods had a higher chance of having newborns with SGA [OR3rd tertile: 1.04 (1.02-1.06)] and LBW [OR2nd tertile: 1.13 (1.11-1.16)]. Stratification by race showed that Black and Mixed/Brown women had a higher chance of having newborns with SGA [OR3rd tertile: 1.09 (1.01-1.18)] and [OR3rd tertile: 1.06 (1.04-1.09)], respectively, while Mixed-race women also had a higher chance of having newborns with LBW [OR3rd tertile: 1.17 (1.14-1.20)]. Indigenous women were associated with LGA [OR3rd tertile: 1.20 (1.01-1.45)]. CONCLUSION: The study found that living in areas with limited access to healthy foods was associated with an increased risk of SGA and low birth weight among newborns, particularly among Black and Mixed/Brown women. Therefore, urgent initiatives aimed at reducing social inequalities and mitigating the impact of poor food environments are needed in Brazil.

Anti-Black racism and maternal death from COVID-19: what have we seen in the Pandemic? / Racismo antinegro e morte materna por COVID-19: o que vimos na Pandemia?

Anti-Black Racism traverses the lives of Black and Brown women, compromising sexual and reproductive health. Obstetric racism during pregnancy, prenatal care, childbirth, abortion, and puerperium affects these women, exposing them to harmful and often lethal maternal outcomes. This study aims to present racism and its manifestations in maternal death by COVID-19. It included data from COVID-19 notifications among pregnant women and puerperae recorded in the severe acute respiratory syndrome database (2021 and 2022). Information on race/skin color, age, region, clinical signs and symptoms, ICU, and deaths were collected. The results indicate how racism affects Black and Brown pregnant women and puerperae, who have higher lethality due to COVID-19 compared to White women (a difference of 14.02%), particularly in the puerperium. Black and Brown pregnant women least accessed the ICU. After adjustments, maternal death in the puerperium for Black women was 62% more likely than for White women (OR=1.62; 95%CI: 1.01-2.63). Racism and its manifestations (dis)organize the reproductive trajectories of Black and Brown women, whose interaction with sexism contributes to harmful and lethal maternal outcomes by COVID-19.

O racismo antinegro atravessa a vida das mulheres pretas e pardas comprometendo a saúde sexual e reprodutiva. O racismo obstétrico que ocorre durante a gravidez, pré-natal, parto, aborto e puerpério atinge estas mulheres expondo-as à desfechos maternos negativos e muitas vezes letais. Este estudo objetiva apresentar o racismo e suas manifestações na morte materna por COVID-19. Estudo transversal, com dados das notificações de COVID-19 entre gestantes e puérperas registradas na base de dados da Síndrome Respiratória Aguda Grave (2021 e 2022). Foram coletadas informações sobre raça/cor, idade, região, sinais e sintomas clínicos, UTI e óbitos. Os resultados apontam como o racismo afeta as gestantes e puérperas pretas e pardas, que apresentam maior letalidade por COVID-19 comparada às brancas (diferença que alcança os 14,02%), em particular no puerpério. Gestantes pretas e pardas são as que menos acessaram UTI. Após ajustes, a chance de óbito materno no puerpério para as mulheres pretas foi 62% maior em comparação as brancas (RC=1,62; 95%IC: 1,01-2,63). O racismo e suas manifestações (des)organizam as trajetórias reprodutivas das mulheres pretas e pardas que na sua interação com o sexismo contribuem para desfechos maternos negativos e letais por COVID-19.

Racismo antinegro e morte materna por COVID-19: o que vimos na Pandemia? / Anti-Black racism and maternal death from COVID-19: what have we seen in the Pandemic?

Resumo O racismo antinegro atravessa a vida das mulheres pretas e pardas comprometendo a saúde sexual e reprodutiva. O racismo obstétrico que ocorre durante a gravidez, pré-natal, parto, aborto e puerpério atinge estas mulheres expondo-as à desfechos maternos negativos e muitas vezes letais. Este estudo objetiva apresentar o racismo e suas manifestações na morte materna por COVID-19. Estudo transversal, com dados das notificações de COVID-19 entre gestantes e puérperas registradas na base de dados da Síndrome Respiratória Aguda Grave (2021 e 2022). Foram coletadas informações sobre raça/cor, idade, região, sinais e sintomas clínicos, UTI e óbitos. Os resultados apontam como o racismo afeta as gestantes e puérperas pretas e pardas, que apresentam maior letalidade por COVID-19 comparada às brancas (diferença que alcança os 14,02%), em particular no puerpério. Gestantes pretas e pardas são as que menos acessaram UTI. Após ajustes, a chance de óbito materno no puerpério para as mulheres pretas foi 62% maior em comparação as brancas (RC=1,62; 95%IC: 1,01-2,63). O racismo e suas manifestações (des)organizam as trajetórias reprodutivas das mulheres pretas e pardas que na sua interação com o sexismo contribuem para desfechos maternos negativos e letais por COVID-19.

Abstract Anti-Black Racism traverses the lives of Black and Brown women, compromising sexual and reproductive health. Obstetric racism during pregnancy, prenatal care, childbirth, abortion, and puerperium affects these women, exposing them to harmful and often lethal maternal outcomes. This study aims to present racism and its manifestations in maternal death by COVID-19. It included data from COVID-19 notifications among pregnant women and puerperae recorded in the severe acute respiratory syndrome database (2021 and 2022). Information on race/skin color, age, region, clinical signs and symptoms, ICU, and deaths were collected. The results indicate how racism affects Black and Brown pregnant women and puerperae, who have higher lethality due to COVID-19 compared to White women (a difference of 14.02%), particularly in the puerperium. Black and Brown pregnant women least accessed the ICU. After adjustments, maternal death in the puerperium for Black women was 62% more likely than for White women (OR=1.62; 95%CI: 1.01-2.63). Racism and its manifestations (dis)organize the reproductive trajectories of Black and Brown women, whose interaction with sexism contributes to harmful and lethal maternal outcomes by COVID-19.

Estimating the real burden of gestational syphilis in Brazil, 2007-2018: a Bayesian modeling study.

Background: Although several studies have estimated gestational syphilis (GS) incidence in several countries, underreporting correction is rarely considered. This study aimed to estimate the level of under-registration and correct the GS incidence rates in the 557 Brazilian microregions. Methods: Brazilian GS notifications between 2007 and 2018 were obtained from the SINAN-Syphilis system. A cluster analysis was performed to group microregions according to the quality of GS notification. A Bayesian hierarchical Poisson regression model was applied to estimate the reporting probabilities among the clusters and to correct the associated incidence rates. Findings: We estimate that 45,196 (90%-HPD: 13,299; 79,310) GS cases were underreported in Brazil from 2007 to 2018, representing a coverage of 87.12% (90%-HPD: 79.40%; 95.83%) of registered cases, where HPD stands for the Bayesian highest posterior density credible interval. Underreporting levels differ across the country, with microregions in North and Northeast regions presenting the highest percentage of missed cases. After underreporting correction, Brazil's estimated GS incidence rate increased from 8.74 to 10.02 per 1000 live births in the same period. Interpretation: Our findings highlight disparities in the registration level and incidence rate of GS in Brazil, reflecting regional heterogeneity in the quality of syphilis surveillance, access to prenatal care, and childbirth assistance services. This study provides robust evidence to enhance national surveillance systems, guide specific policies for GS detection disease control, and potentially mitigate the harmful consequences of mother-to-child transmission. The methodology might be applied in other regions to correct disease underreporting. Funding: National Council for Scientific and Technological Development; The Bill Melinda Gates Foundation and Wellcome Trust.

Subsidised housing and diabetes mortality: a retrospective cohort study of 10 million low-income adults in Brazil.

INTRODUCTION: Housing-related factors can be predictors of health, including of diabetes outcomes. We analysed the association between subsidised housing residency and diabetes mortality among a large cohort of low-income adults in Brazil. RESEARCH DESIGN AND METHODS: A cohort of 9 961 271 low-income adults, observed from January 2010 to December 2015, was created from Brazilian administrative records of social programmes and death certificates. We analysed the association between subsidised housing residency and time to diabetes mortality using a Cox model with inverse probability of treatment weighting and regression adjustment. We assessed inequalities in this association by groups of municipality Human Development Index. Diabetes mortality included diabetes both as the underlying or a contributory cause of death. RESULTS: At baseline, the mean age of the cohort was 40.3 years (SD 15.6 years), with a majority of women (58.4%). During 29 238 920 person-years of follow-up, there were 18 775 deaths with diabetes as the underlying or a contributory cause. 340 683 participants (3.4% of the cohort) received subsidised housing. Subsidised housing residents had a higher hazard of diabetes mortality compared with non-residents (HR 1.17; 95% CI 1.05 to 1.31). The magnitude of this association was more pronounced among participants living in municipalities with lower Human Development Index (HR 1.30; 95% CI 1.04 to 1.62). CONCLUSIONS: Subsidised housing residents had a greater risk of diabetes mortality, particularly those living in low socioeconomic status municipalities. This finding suggests the need to intensify diabetes prevention and control actions and prompt treatment of the diabetes complications among subsidised housing residents, particularly among those living in low socioeconomic status municipalities.

Racial and economic segregation in Brazil: a nationwide analysis of socioeconomic and socio-spatial inequalities / Segregação racial e econômica no Brasil: uma análise nacional das desigualdades socioeconômicas e socioespaciais / Segregación racial y económica en Brasil: un análisis nacional de las desigualdades socioeconómicas y socioespaciales

Abstract This article aims to analyze residential segregation by race (racial segregation) and income (economic segregation) in Brazil and explore its relationship with socioeconomic and socio-spatial factors. Residential segregation was assessed using the dissimilarity index based on the 2010 demographic census and considering urban census tracts since segregation is sociologically considered an urban problem. The results for racial segregation showed that it is more evident in cities in the South and Southeast of Brazil and mainly affects the self-declared black population. The approach used to calculate economic segregation involved examining the income level of different low-income groups. Therefore, we consider families that earned between 0 and 1 minimum wage as the group with the greatest social vulnerability. We did not find significant correlations between racial and income segregation indices with aspects such as urbanization (urban population size). Finally, we present the racial segregation indices stratifying families by income thresholds for the 27 Brazilian capitals and conclude that per capita household income is a preponderant factor for the segregation of the poorest, especially in families whose residents self-identify as black.

Resumo Este artigo tem como objetivo analisar a segregação residencial por raça (segregação racial) e renda (segregação econômica) no Brasil e explorar sua relação com fatores socioeconômicos e socioespaciais. A segregação residencial foi avaliada pelo índice de dissimilaridade baseado no Censo Demográfico de 2010 e considerando setores censitários urbanos, uma vez que a segregação é entendida sociologicamente como um problema urbano. Os resultados mostram que a segregação racial é mais evidente nas cidades do Sul e Sudeste do Brasil, atingindo principalmente a população autodeclarada preta. A abordagem utilizada para calcular a segregação econômica envolveu examinar o nível de renda de diferentes grupos de baixa renda. Portanto, consideramos as famílias que ganham entre 0 e 1 salário mínimo - o grupo de maior vulnerabilidade social. Não encontramos correlações significativas entre os índices de segregação racial e de renda com fatores como a urbanização (tamanho da população urbana). Por fim, apresentamos os índices de segregação racial estratificando as famílias por faixas de renda para as 27 capitais brasileiras e concluímos que a renda domiciliar per capita é fator preponderante para a segregação dos mais pobres, principalmente nas famílias cujos moradores se autodeclaram pretos.

Resumen Este artículo tiene como objetivo analizar la segregación residencial por raza (segregación racial) y renta (segregación económica) en Brasil y explorar su relación con factores socioeconómicos y socioespaciales. La segregación residencial se evaluó utilizando el índice de disimilitud con base en el censo demográfico de 2010 y considerando las secciones censales urbanas ya que la segregación es considerada sociológicamente como un problema urbano. Los resultados para la segregación racial mostraron que esta es más evidente en ciudades del sur y del sudeste de Brasil y que afecta principalmente a la población autodeclarada negra. El enfoque usado para calcular la segregación económica implicó examinar el nivel de ingresos de diferentes grupos de bajos ingresos. Por lo tanto, consideramos que las familias que ganaban entre cero y un salario mínimo son el grupo con mayor vulnerabilidad social. No encontramos correlaciones significativas entre los índices de segregación racial y los de ingresos con factores como la urbanización (tamaño de la población urbana). Finalmente, presentamos los índices de segregación racial estratificando a las familias por umbrales de renta para las 27 capitales brasileñas y concluimos que la renta per cápita de los hogares es un factor preponderante para la segregación de los más pobres, en especial en las familias cuyos habitantes se autodeclaran negros.

Deduplicating records in systematic reviews: there are free, accurate automated ways to do so.

OBJECTIVE: Here, we examined the accuracy measures of a set of automated deduplication tools to identify duplicate in the eligibility process of systematic reviews. STUDY DESIGN AND SETTING: A planned search strategy was carried out on seven electronic databases until May 31, 2021. Using manual search as the reference standard, we assessed sensibility, specificity, negative predictive value, and positive predictive value (PPV). RESULTS: Specificity ranged from 0.96 to 1.00. Rayyan, Mendeley, and Systematic Review Accelerator (SRA) presented high sensibility (0.98 [95% CI = 0.94-1.00]; 0.93 [95% CI = 0.88-0.97] and 0.90 [95% CI = 0.84-0.95], respectively), whereas EndNote X9 and Zotero had only fair sensitivity (0.73 [95% CI = 0.65-0.80] and 0.74 [95% CI = 0.66-0.81], respectively). Negative predictive value ranged from 0.99 to 1.00. Mendeley and SRA had good PPV (0.93 [95% CI = 0.88-0.97] and 0.99 [95% CI = 0.96-1.00], respectively). PPV was fair for EndNote X9 (0.61 [95% CI = 0.54-0.69]) and Zotero (0.62 [95% CI = 0.54-0.69]) and poor for Rayyan (0.41 [95% CI = 0.36-0.47]). CONCLUSION: Choosing the most suitable tool depends on its interface's characteristics, the algorithm to identify and exclude duplicates, and the transparency of the process. Therefore, Rayyan, Mendeley, and SRA proved to be accurate enough for the systematic reviews' deduplication step.

Mortality inequalities measured by socioeconomic indicators in Brazil: a scoping review.

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.

Differentials in death count records by databases in Brazil in 2010.

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.

Impact of Brazil's Bolsa Família Programme on cardiovascular and all-cause mortality: a natural experiment study using the 100 Million Brazilian Cohort.

BACKGROUND: Cardiovascular disease (CVD) has a disproportionate effect on mortality among the poorest people. We assessed the impact on CVD and all-cause mortality of the world's largest conditional cash transfer, Brazil's Bolsa Família Programme (BFP). METHODS: We linked administrative data from the 100 Million Brazilian Cohort with BFP receipt and national mortality data. We followed individuals who applied for BFP between 1 January 2011 and 31 December 2015, until 31 December 2015. We used marginal structural models to estimate the effect of BFP on all-age and premature (30-69 years) CVD and all-cause mortality. We conducted stratified analyses by levels of material deprivation and access to healthcare. We checked the robustness of our findings by restricting the analysis to municipalities with better mortality data and by using alternative statistical methods. RESULTS: We studied 17 981 582 individuals, of whom 4 855 324 were aged 30-69 years. Three-quarters (76.2%) received BFP, with a mean follow-up post-award of 2.6 years. We detected 106 807 deaths by all causes, of which 60 893 were premature; and 23 389 CVD deaths, of which 15 292 were premature. BFP was associated with reductions in premature all-cause mortality [hazard ratio (HR) = 0.96, 95% CI = 0.94-0.98], premature CVD (HR = 0.96, 95% CI = 0.92-1.00) and all-age CVD (HR = 0.96, 95% CI = 0.93-1.00) but not all-age all-cause mortality (HR = 1.00, 95% CI = 0.98-1.02). In stratified and robustness analyses, BFP was consistently associated with mortality reductions for individuals living in the two most deprived quintiles. CONCLUSIONS: BFP appears to have a small to null effect on premature CVD and all-cause mortality in the short term; the long-term impact remains unknown.

Evaluating the effect of Bolsa Familia, Brazil's conditional cash transfer programme, on maternal and child health: A study protocol.

BACKGROUND: Conditional Cash Transfer Programs have been developed in Latin America in response to poverty and marked social inequalities on the continent. In Brazil, the Bolsa Familia Program (BFP) was implemented to alleviate poverty and improve living conditions, health, and education for socioeconomically vulnerable populations. However, the effect of this intervention on maternal and child health is not well understood. METHODS: We will evaluate the effect of BFP on maternal and child outcomes: 1. Birth weight; 2. Preterm birth; 3. Maternal mortality; and 4. Child growth. Dynamic retrospective cohort data from the 100 Million Brazilian Cohort (2001 to 2015) will be linked to three different databases: Live Birth Information System (2004 to 2015); Mortality Information System (2011 to 2015); and Food and Nutritional Surveillance System (2008 to 2017). The definition of exposure to the BFP varies according to the outcome studied. Those who never received the benefit until the outcome or until the end of the follow-up will be defined as not exposed. The effects of BFP on maternal and child outcomes will be estimated by a combination of propensity score-based methods and weighted logistic regressions. The analyses will be further stratified to reflect changes in the benefit entitlement before and after 2012. DISCUSSION: Harnessing a large linked administrative cohort allows us to assess the effect of the BFP on maternal and child health, while considering a wide range of explanatory and confounding variables.

Mortality inequalities measured by socioeconomic indicators in Brazil: a scoping review

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.

Differentials in death count records by databases in Brazil in 2010

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.

Evaluating the health effect of a Social Housing programme, Minha Casa Minha Vida, using the 100 million Brazilian Cohort: a natural experiment study protocol.

INTRODUCTION: Social housing programmes have been shown to influence health, but their effects on cardiovascular mortality and incidence of infectious diseases, such as leprosy and tuberculosis, are unknown. We will use individual administrative data to evaluate the effect of the Brazilian housing programme Minha Casa Minha Vida (MCMV) on cardiovascular disease (CVD) mortality and incidence of leprosy and tuberculosis. METHODS AND ANALYSIS: We will link the baseline of the 100 Million Brazilian Cohort (2001-2015), which includes information on socioeconomic and demographic variables, to the MCMV (2009-2015), CVD mortality (2007-2015), leprosy (2007-2015) and tuberculosis (2007-2015) registries. We will define our exposed population as individuals who signed the contract to receive a house from MCMV, and our non-exposed group will be comparable individuals within the cohort who have not signed a contract for a house at that time. We will estimate the effect of MCMV on health outcomes using different propensity score approaches to control for observed confounders. Follow-up time of individuals will begin at the date of exposure ascertainment and will end at the time a specific outcome occurs, date of death or end of follow-up (31 December 2015). In addition, we will conduct stratified analyses by the follow-up time, age group, race/ethnicity, gender and socioeconomic position. ETHICS AND DISSEMINATION: The study was approved by the ethic committees from Instituto Gonçalo Muniz-Oswaldo Cruz Foundation and University of Glasgow Medical, Veterinary and Life Sciences College. Data analysis will be carried out using an anonymised dataset, accessed by researchers in a secure computational environment according to the Centre for Integration of Data and Health Knowledge procedures. Study findings will be published in high quality peer-reviewed research journals and will also be disseminated to policy makers through stakeholder events and policy briefs.

Comparison of calorie and nutrient intake among elderly with and without sarcopenia: A systematic review and meta-analysis.

CONTEXT: Sarcopenia, besides having an impact on functional capacity, has been associated with increased hospitalization and mortality, and stands out as an essential cause of disability among older people. OBJECTIVE: We conducted a systematic review and meta-analysis of published studies comparing the calories and nutrients ingested by elderly people with and without sarcopenia. DATA SOURCES: MEDLINE/PubMed, Scopus, LILACS, Cochrane Library, and Scielo databases were searched. STUDY SELECTION: Studies comparing calories and nutrient intake among elderly people diagnosed with sarcopenia and people without sarcopenia were included. DATA ANALYSIS: Mean differences and 95% confidence intervals (CIs) were calculated, and heterogeneity was assessed using I2 test. RESULTS: A total of 23 studies fulfilled the inclusion criteria. The average number of calories and nutrients ingested were significantly lower in elderly study participants with sarcopenia compared with those without sarcopenia. The meta-analyses showed that the average number of calories ingested (n = 19 studies; mean difference, -156.7 kcal; 95%CI, -194.8 to -118.7) were significantly lower in those with sarcopenia than in elderly participants without sarcopenia. Compared to those without sarcopenia, elderly people with sarcopenia consumed lower amounts of proteins; carbohydrates; saturated fatty acids; vitamins A, B12, C, and D; and minerals such as calcium, magnesium, sodium, and selenium. CONCLUSIONS: The evidence so far available suggests a difference in caloric, macronutrient (ie, proteins, carbohydrates, saturated fatty acids), and micronutrient (ie calcium, magnesium, sodium, selenium, and vitamins A, B12, C, and D) intake among the elderly with and without sarcopenia. Additional studies are needed to define the best interventions to improve the consumption of calories and nutrients by the aging population.