Community violence in neighborhoods and common mental disorders among Brazilian adolescents.

BACKGROUND: This study aims to explore the association between exposure to neighborhood violence and the presence of common mental disorders (CMDs) among Brazilian adolescents aged 12 to 17 years. Additionally, we aim to analyze whether sex, age and race are modifiers of the effect of this association. METHODS: The study comprised 1,686 adolescents residing in the municipality of Rio de Janeiro, situated in the Southeast region of Brazil. To measure exposure to community violence, we constructed three crime indicators using data from Civil Police of the State of Rio de Janeiro: crimes against property, nonlethal crimes, and lethal crimes. Employing geospatial analysis based on the adolescents' residence location, logistic regression modeling was performed to measure the association between violence and CMDs. RESULTS: Adolescents living in regions with higher rates of the three types of violence studied herein were more likely to have CMDs, with odds ratios (ORs) ranging from 2.33 to 2.99. When stratified by sex, age and race, girls, older adolescents and blacks have a greater magnitude of effect on the measure of association, indicating a heightened risk for CMDs. CONCLUSION: This study provides important contributions to the public health field, as it reveals new information on the influence of community violence on the mental health of adolescents. Given the elevated rates of violence globally, knowing the effects of such violence on adolescents becomes crucial for the prevention and treatment of CMDs within this population.

Community violence and internalizing mental health symptoms in adolescents: A systematic review.

PURPOSES: Mental disorders are responsible for 16% of the global burden of disease in adolescents. This review focuses on one contextual factor called community violence that can contribute to the development of mental disorders OBJECTIVE: To evaluate the impact of community violence on internalizing mental health symptoms in adolescents, to investigate whether different proximity to community violence (witness or victim) is associated with different risks and to identify whether gender, age, and race moderate this association. METHODS: systematic review of observational studies. The population includes adolescents (10-24 years), exposition involves individuals exposed to community violence and outcomes consist of internalizing mental health symptoms. Selection, extraction and quality assessment were performed independently by two researchers. RESULTS: A total of 2987 works were identified; after selection and extraction, 42 works remained. Higher exposure to community violence was positively associated with internalizing mental health symptoms. Being a witnessing is less harmful for mental health than being a victim. Age and race did not appear in the results as modifiers, but male gender and family support appear to be protective factors in some studies. CONCLUSION: This review confirms the positive relationship between community violence and internalizing mental health symptoms in adolescents and provides relevant information that can direct public efforts to build policies in the prevention of both problems.

Projections of excess cardiovascular mortality related to temperature under different climate change scenarios and regionalized climate model simulations in Brazilian cities.

BACKGROUND: There is an urgent need for more information about the climate change impact on health in order to strengthen the commitment to tackle climate change. However, few studies have quantified the health impact of climate change in Brazil and in the Latin America region. In this paper, we projected the impacts of temperature on cardiovascular (CVD) mortality according to two climate change scenarios and two regionalized climate model simulations in Brazilian cities. METHODS: We estimated the temperature-CVD mortality relationship in 21 Brazilian cities, using distributed lag non-linear models in a two-stage time-series analysis. We combined the observed exposure-response functions with the daily temperature projected under two representative concentration pathways (RCP), RCP8.5 and RCP4.5, and two regionalized climate model simulations, Eta-HadGEM2-ES and Eta-MIROC5. RESULTS: We observed a trend of reduction in mortality related to low temperatures and a trend of increase in mortality related to high temperatures, according to all the investigated models and scenarios. In most places, the increase in mortality related to high temperatures outweighed the reduction in mortality related to low temperatures, causing a net increase in the excess temperature-related mortality. These trends were steeper according to the higher emission scenario, RCP8.5, and to the Eta-HadGEM2-ES model. According to RCP8.5, our projections suggested that the temperature-related mortality fractions in 2090-99 compared to 2010-2019 would increase by 8.6% and 1.7%, under Eta-HadGEM2-ES and Eta-MIROC5, respectively. According to RCP4.5, these values would be 0.7% and -0.6%. CONCLUSIONS: For the same climate model, we observed a greater increase trend in temperature-CVD mortality according to RCP8.5, highlighting a greater health impact associated with the higher emission scenario. Our results may be useful to support public policies and strategies for mitigation of and adaptation to climate change, particularly in the health sector.

Neighborhood physical disorder and common mental disorders in adolescence.

OBJECTIVE: The aim of this study is to estimate the association between observed indicators of neighborhood physical disorder and common mental disorders in adolescents. METHODS: The study population included 2506 adolescents from three Brazilian state capitals (Rio de Janeiro, Porto Alegre, and Fortaleza) who participated in the Cardiovascular Risk Study in Adolescents (ERICA), a cross-sectional school-based study conducted in 2013-2014. Common mental disorders were assessed using the 12-item General Health Questionnaire. Measures of neighborhood physical disorder were based on the 2010 Brazilian census data and were derived using principal component analysis. RESULTS: Although associations were found between some exposure components and CMD, there were no clear or consistent trends across exposure quartiles. CONCLUSION: Overall, there was no evidence of an association between observed indicators of neighborhood physical disorder and common mental disorders. Future studies should explore alternative tools for measuring neighborhood physical disorder to minimize the likelihood of exposure misclassification.

Human Heat stress risk prediction in the Brazilian semiarid Region based on the Wet-Bulb Globe Temperature.

OBJECTIVE: the aim of this study is to map thermal stress risks for human health at the São Francisco River Basin (SFRB) in the Semiarid region, for climatic scenarios RCP 4.5 and 8.5. METHODS: The heat stress conditions were defined by the Wet Bulb Globe Temperature (WBGT) indicator and by the average number of annual days in which the WBGT values exceeded the 90th percentile of the reference period. The WBGT was estimated for the climate scenarios RCP 4.5 (intermediate) and 8.5 (pessimistic) for the period 2011-2090 comparing to the period of reference (1961-2005). RESULTS: The projections show that for the pessimistic scenario practically all municipalities of the SFRB region can reach values of WBGT that indicate a high risk for heat stress in the period 2071-2099. For this same scenario and period, the municipalities of the Lower and Under-average regions may present values of WBGT above the 90th percentile of the reference period in more than 90% of the days/year. CONCLUSIONS: These results show that, if the emission of greenhouse gases continues in the present proportions, some municipalities of the SFRB region may present a high risk for heat stress affecting the work capacity and the practice of physical exercises.

Direct and indirect exposure to violence and psychological distress among civil servants in Rio de Janeiro, Brazil: a prospective cohort study.

BACKGROUND: Important social and economic changes accompanying the recent fast rate of urbanization have been considered a major factor in triggering and sustaining urban violence in Brazil. The purpose of this paper is to investigate the effects of exposure to direct, indirect, and contextual violence on the risk of psychological distress. METHODS: Prospective longitudinal study carried out among 3,058 civil servants working at university campuses in Rio de Janeiro. Psychological distress was measured using the General Health Questionnaire, and exposure to individual violence was assessed as direct (DV), indirect (IV), and both direct and indirect (DIV). Contextual violence was assessed through the geocoding of residential addresses of study participants and the rates of homicides in 2005 at the corresponding weighting area. Multiple logistic regression was used to evaluate individual and contextual correlates of psychological distress. RESULTS: Exposure to DIV increased more than six times (95% CI 2.7-16.0) the odds of psychological distress occurrence at the six-year follow-up. Regarding persistence of psychological distress, the association with violence exposure was 1.6 (95% CI 1.0-2.4) for DV and 2.7 (95% CI 1.3-5.3) for IV. Contextual violence was not associated with psychological distress, and no interaction effect was found between exposure to individual and contextual violence in the occurrence/persistence of psychological distress. CONCLUSIONS: Results of this study highlight the importance of assessing multiple forms of violence in research on the social determinants of mental disorders and support the view that individual exposure to different forms of violence increases the risk of psychological distress.

Independent associations of income and education with nutrient intakes in Brazilian adults: 2008-2009 National Dietary Survey.

OBJECTIVE: To verify associations of income and education with nutrient intakes in Brazilian adults. DESIGN: Data from the population-based National Dietary Survey conducted in 2008-2009. Family per capita income and education levels were categorized into quartiles. Prevalences of inadequate nutrient intakes and excessive intakes of saturated fat and Na were calculated by using the method prescribed by the National Cancer Institute. The Estimated Average Requirement was used as a reference for micronutrient intake. Linear regression models for both the independent and the mutually adjusted associations of education and income with nutrient intakes were tested. Interaction between education and income was tested. SETTING: Households (n 13 569) selected using a two-stage cluster sampling design. SUBJECTS: Food records for two non-consecutive days were obtained for 21 003 Brazilian adults (aged 20-59 years). RESULTS: For most of eleven nutrients, the prevalence of inadequate intake declined with increasing income and education levels; however, it remained high across all income and education quartiles. Excessive intake of saturated fat and low fibre intake increased with both variables. Most nutrients were independently associated with income and education in both sexes. Fe, vitamin B12 and Na intakes among women were associated only with education. There was an interaction between income and education for Na intake in men, P intake in women and Ca intake in both sexes. CONCLUSIONS: Education is one important step to improve nutrient intakes in Brazil. Emphasis should be laid on enhancing dietary knowledge and formulating economic strategies that would allow lower-income individuals to adopt a healthy diet.

Effect of socioeconomic status on the association between air pollution and mortality in Bogota, Colombia.

OBJECTIVE: To evaluate the modification effect of socioeconomic status (SES) on the association between acute exposure to particulate matter less than 10 microns in aerodynamic diameter (PM10) and mortality in Bogota, Colombia. MATERIALS AND METHODS: A time-series ecological study was conducted (1998-2006). The localities of the cities were stratified using principal components analysis, creating three levels of aggregation that allowed for the evaluation of the impact of SES on the relationship between mortality and air pollution. RESULTS: For all ages, the change in the mortality risk for all causes was 0.76% (95%CI 0.27-1.26) for SES I (low), 0.58% (95%CI 0.16-1.00) for SES II (mid) and -0.29% (95%CI -1.16-0.57) for SES III (high) per 10µg/m³ increment in the daily average of PM10 on day of death. CONCLUSIONS: The results suggest that SES significantly modifies the effect of environmental exposure to PM10 on mortality from all causes and respiratory causes.

Effect of particulate matter less than 10µm (PM10) on mortality in Bogota, Colombia: a time-series analysis, 1998-2006.

OBJECTIVE: To analyze the association between daily mortality from different causes and acute exposure to particulate matter less than 10 microns in aerodynamic diameter (PM10), in Bogota, Colombia. MATERIALS AND METHODS: A time-series ecological study was conducted from 1998 to 2006. The association between mortality (due to different causes) and exposure was analyzed using single and distributed lag models and adjusting for potential confounders. RESULTS: For all ages, the cumulative effect of acute mortality from all causes and respiratory causes increased 0.71% (95%CI 0.46-0.96) and 1.43% (95%CI 0.85-2.00), respectively, per 10µg/m³ increment in daily average PM10 with a lag of three days before death. Cumulative effect of mortality from cardiovascular causes was -0.03% (95%CI -0.49-0.44%) with the same lag. CONCLUSIONS: The results suggest an association between an increase in PM10 concentrations and acute mortality from all causes and respiratory causes.

[Estimation of cancer incidence in Brazil and its regions in 2018: methodological aspects]. / Estimativa de incidência de câncer no Brasil e regiões em 2018: aspectos metodológicos.

The aim of this study was to develop a methodology for estimating cancer incidence in Brazil and its regions. Using data from population-based cancer registries (RCBP, acronym in Portuguese) and the Brazilian Mortality Information System (SIM, acronym in Portuguese), annual incidence/mortality (I/M) ratios were calculated by type of cancer, age group and sex in each RCBP. Poisson longitudinal multilevel models were applied to estimate the I/M ratios by region in 2018. The estimate of new cancer cases in 2018 was calculated by applying the estimated I/M ratios to the number of SIM-corrected deaths that occurred that year. North and Northeast concentrated the lowest I/M ratios. Pancreatic, lung, liver and esophageal cancers had the lowest I/M ratios, whereas the highest were estimated for thyroid, testicular, prostate and female breast cancers. For 2018, 506,462 new cancer cases were estimated in Brazil. Female breast and prostate were the two main types of cancer in all regions. In the North and Northeast, cervical and stomach cancers stood out. Differences in the I/M ratios between regions were observed and may be related to socioeconomic development and access to health services.

O objetivo deste estudo foi desenvolver metodologia para estimar a incidência de câncer no Brasil e regiões. A partir de dados dos registros de câncer de base populacional (RCBP) e do Sistema de Informações sobre Mortalidade (SIM) foram calculadas razões de incidência e mortalidade (I/M) anuais, tipo de câncer, faixa etária e sexo em cada RCBP. Para estimar as razões I/M por região em 2018, foram aplicados modelos multiníveis longitudinais de Poisson. A estimativa de casos novos de câncer, em 2018, foi calculada aplicando-se as razões I/M estimadas ao número de óbitos corrigidos do SIM ocorridos naquele ano. Norte e Nordeste concentraram as menores razões I/M. Os cânceres de pâncreas, pulmão, fígado e esôfago tiveram as menores razões I/M, enquanto as maiores razões I/M foram estimadas para câncer de tireoide, testículo, próstata e mama feminina. Para 2018, foram estimados 506.462 casos novos de câncer no Brasil. Mama feminina e próstata foram os dois principais tipos de câncer em todas as regiões. No Norte e no Nordeste, destacaram-se os cânceres do colo do útero e de estômago. Diferenças nas razões I/M entre as regiões foram observadas e podem estar relacionadas ao desenvolvimento socioeconômico e ao acesso a serviços de saúde.

El objetivo de este estudio fue desarrollar una metodología para estimar la incidencia de cáncer en Brasil y sus regiones. A partir de datos de los registros de cáncer de base poblacional (RCBP) y el Sistema de Informaciones de Mortalidad (SIM), se calcularon las tasas anuales de incidencia y mortalidad (I/M), tipo de cáncer, grupo de edad y sexo en cada RCBP. Para estimar las tasas de I/M por región en 2018, se aplicaron modelos multinivel longitudinales de Poisson. Los nuevos casos de cáncer en 2018 se estimaron mediante la aplicación de las tasas I/M que se esperan para el número de muertes corregidas de SIM que habían ocurrido ese año. Las regiones Norte y Nordeste concentraron las más bajas tasas de I/M. Los cánceres de páncreas, pulmón, hígado y esófago tuvieron las más bajas tasas de I/M, mientras que las más altas tasas de I/M se estimaron para los cánceres de tiroides, testículos, próstata y mama femenina. Para 2018, se estimaron 506.462 nuevos casos de cáncer en Brasil. La mama femenina y la próstata representaron técnicas de estimación y configuraron ser los tipos principales de cáncer en todas las regiones. En el Norte y el Nordeste se destacaron los cánceres de cuello uterino y estómago. Se observaron diferencias en las tasas de I/M entre regiones, las cuales pueden estar relacionadas con el desarrollo socioeconómico y el acceso a los servicios de salud.

Effects of heat waves on cardiovascular and respiratory mortality in Rio de Janeiro, Brazil.

BACKGROUND: Heat waves are becoming more intense and extreme as a consequence of global warming. Epidemiological evidence reveals the health impacts of heat waves in mortality and morbidity outcomes, however, few studies have been conducted in tropical regions, which are characterized by high population density, low income and low health resources, and susceptible to the impacts of extreme heat on health. The aim of this paper is to estimate the effects of heat waves on cardiovascular and respiratory mortality in the city of Rio de Janeiro, Brazil, according to sex, age, and heat wave intensity. METHODS: We carried out a time-stratified case-crossover study stratified by sex, age (0-64 and 65 or above), and by sex for the older group. Our analyses were restricted to the hot season. We included 42,926 participants, 29,442 of whom died from cardiovascular and 13,484 from respiratory disease, between 2012 and 2017. The death data were obtained from Rio de Janeiro's Municipal Health Department. We estimated individual-level exposure using the inverse distance weighted (IDW) method, with temperature and humidity data from 13 and 12 stations, respectively. We used five definitions of heat waves, based on temperature thresholds (90th, 92.5th, 95th, 97.5th, and 99th of individual daily mean temperature in the hot season over the study period) and a duration of two or more days. Conditional logistic regression combined with distributed lag non-linear models (DLNM) were used to estimate the short-term and delayed effects of heat waves on mortality over a lag period (5 days for cardiovascular and 10 for respiratory mortality). The models were controlled for daily mean absolute humidity and public holidays. RESULTS: The odds ratios (OR) increase as heat waves intensify, although some effect estimates are not statistically significant at 95% level when we applied the most stringent heat wave criteria. Although not statistically different, our central estimates suggest that the effects were greater for respiratory than cardiovascular mortality. Results stratified by sex and age were also not statistically different, but suggest that older people and women were more vulnerable to the effects of heat waves, although for some heat wave definitions, the OR for respiratory mortality were higher among the younger group. The results also indicate that older women are the most vulnerable to heat wave-related cardiovascular mortality. CONCLUSION: Our results show an increase in the risk of cardiovascular and respiratory mortality on heat wave days compared to non-heat wave ones. These effects increase with heat wave intensity, and evidence suggests that they were greater for respiratory mortality than cardiovascular mortality. Furthermore, the results also suggest that women and the elderly constitute the groups most vulnerable to heat waves.

Heat waves and mortality in the Brazilian Amazon: Effect modification by heat wave characteristics, population subgroup, and cause of death.

BACKGROUND: The Brazilian Amazon faces overlapping socio-environmental, sanitary, and climate challenges, and is a hotspot of concern due to projected increases in temperature and in the frequency of heat waves. Understanding the effects of extreme events on health is a central issue for developing climate policies focused on the population's health. OBJECTIVES: We investigated the effects of heat waves on mortality in the Brazilian Amazon, examining effect modification according to various heat wave definitions, population subgroups, and causes of death. METHODS: We included all 32 Amazonian municipalities with more than 100,000 inhabitants. The study period was from 2000 to 2018. We obtained mortality data from the Information Technology Department of the Brazilian Public Healthcare System, and meteorological data were derived from the ERA5-Land reanalysis dataset. Heat waves were defined according to their intensity (90th; 92.5th; 95th; 97.5th and 99th temperature percentiles) and duration (≥2, ≥3, and ≥4 days). In each city, we used a time-stratified case-crossover study to estimate the effects of each heat wave definition on mortality, according to population subgroup and cause of death. The lagged effects of heat waves were estimated using conditional Poisson regression combined with distributed lag non-linear models. Models were adjusted for specific humidity and public holidays. Risk ratios were pooled for the Brazilian Amazon using a univariate random-effects meta-analysis. RESULTS: The pooled relative risks (RR) for mortality from total non-external causes varied between 1.03 (95% CI: 1.01-1.06), for the less stringent heat wave definition, and 1.18 (95% CI: 1.04-1.33) for the more stringent definition. The mortality risk rose as the heat wave intensity increased, although the increase from 2 to 3, and 3-4 days was small. Although not statistically different, our results suggest a higher mortality risk for the elderly, this was also higher for women than men, and for cardiovascular causes than for non-external or respiratory ones. CONCLUSIONS: Heat waves were associated with a higher risk of mortality from non-external causes and cardiovascular diseases. Heat wave intensity played a more important role than duration in determining this risk. Suggestive evidence indicated that the elderly and women were more vulnerable to the effects of heat waves on mortality.

Short-term association between ambient air pollution and cardio-respiratory mortality in Rio de Janeiro, Brazil.

BACKGROUND: Several epidemiological studies have reported associations between ambient air pollution and mortality. However, relatively few studies have investigated this relationship in Brazil using individual-level data. OBJECTIVES: To estimate the short-term association between exposure to particulate matter <10 µm (PM10) and ozone (O3), and cardiovascular and respiratory mortality in Rio de Janeiro, Brazil, between 2012 and 2017. METHODS: We used a time-stratified case-crossover study design with individual-level mortality data. Our sample included 76,798 deaths from cardiovascular diseases and 36,071 deaths from respiratory diseases. Individual exposure to air pollutants was estimated by the inverse distance weighting method. We used data from seven monitoring stations for PM10 (24-hour mean), eight stations for O3 (8-hour max), 13 stations for air temperature (24-hour mean), and 12 humidity stations (24-hour mean). We estimated the mortality effects of PM10 and O3 over a 3-day lag using conditional logistic regression models combined with distributed lag non-linear models. The models were adjusted for daily mean temperature and daily mean absolute humidity. Effect estimates were presented as odds ratios (OR) with their 95% confidence interval (CI) associated with a 10 µg/m3 increase in each pollutant exposure. RESULTS: No consistent associations were observed for both pollutant and mortality outcome. The cumulative OR of PM10 exposure was 1.01 (95% CI 0.99-1.02) for respiratory mortality and 1.00 (95% CI 0.99-1.01) for cardiovascular mortality. For O3 exposure, we also found no evidence of increased mortality for cardiovascular (OR 1.01, 95% CI 1.00-1.01) or respiratory diseases (OR 0.99, 95% CI 0.98-1.00). Our findings were similar across age and gender subgroups, and different model specifications. CONCLUSION: We found no consistent associations between the PM10 and O3 concentrations observed in our study and cardio-respiratory mortality. Future studies need to explore more refined exposure assessment methods to improve health risk estimates and the planning and evaluation of public health and environmental policies.

Effect of artesunate-mefloquine fixed-dose combination in malaria transmission in Amazon basin communities.

BACKGROUND: Studies in South-East Asia have suggested that early diagnosis and treatment with artesunate (AS) and mefloquine (MQ) combination therapy may reduce the transmission of Plasmodium falciparum malaria and the progression of MQ resistance. METHODS: The effectiveness of a fixed-dose combination of AS and MQ (ASMQ) in reducing malaria transmission was tested in isolated communities of the Juruá valley in the Amazon region.Priority municipalities within the Brazilian Legal Amazon area were selected according to pre-specified criteria. Routine national malaria control programmatic procedures were followed. Existing health structures were reinforced and health care workers were trained to treat with ASMQ all confirmed falciparum malaria cases that match inclusion criteria. A local pharmacovigilance structure was implemented. Incidence of malaria and hospitalizations were recorded two years before, during, and after the fixed-dose ASMQ intervention. In total, between July 2006 and December 2008, 23,845 patients received ASMQ. Two statistical modelling approaches were applied to monthly time series of P. falciparum malaria incidence rates, P. falciparum/Plasmodium vivax infection ratio, and malaria hospital admissions rates. All the time series ranged from January 2004 to December 2008, whilst the intervention period span from July 2006 to December 2008. RESULTS: The ASMQ intervention had a highly significant impact on the mean level of each time series, adjusted for trend and season, of 0.34 (95% CI 0.20 - 0.58) for the P. falciparum malaria incidence rates, 0.67 (95% CI 0.50 - 0.89) for the P. falciparum/P. vivax infection ratio, and 0.53 (95% CI 0.41 - 0.69) for the hospital admission rates. There was also a significant change in the seasonal (or monthly) pattern of the time series before and after intervention, with the elimination of the malaria seasonal peak in the rainy months of the years following the introduction of ASMQ. No serious adverse events relating to the use of fixed-dose ASMQ were reported. CONCLUSIONS: In the remote region of the Juruá valley, the early detection of malaria by health care workers and treatment with fixed-dose ASMQ was feasible and efficacious, and significantly reduced the incidence and morbidity of P. falciparum malaria.

Risk assessment of PM(2.5) to child residents in Brazilian Amazon region with biofuel production.

BACKGROUND: Exposure to fine fractions of particulate matter (PM(2.5)) is associated with increased hospital admissions and mortality for respiratory and cardiovascular disease in children and the elderly. This study aims to estimate the toxicological risk of PM(2.5) from biomass burning in children and adolescents between the age of 6 and 14 in Tangará da Serra, a municipality of Subequatorial Brazilian Amazon. METHODS: Risk assessment methodology was applied to estimate the risk quotient in two scenarios of exposure according to local seasonality. The potential dose of PM(2.5) was estimated using the Monte Carlo simulation, stratifying the population by age, gender, asthma and Body Mass Index (BMI). RESULTS: Male asthmatic children under the age of 8 at normal body rate had the highest risk quotient among the subgroups. The general potential average dose of PM(2.5) was 1.95 µg/kg.day (95% CI: 1.62 - 2.27) during the dry scenario and 0.32 µg/kg.day (95% CI: 0.29 - 0.34) in the rainy scenario. During the dry season, children and adolescents showed a toxicological risk to PM(2.5) of 2.07 µg/kg.day (95% CI: 1.85 - 2 .30). CONCLUSIONS: Children and adolescents living in the Subequatorial Brazilian Amazon region were exposed to high levels of PM(2.5) resulting in toxicological risk for this multi-pollutant. The toxicological risk quotients of children in this region were comparable or higher to children living in metropolitan regions with PM(2.5) air pollution above the recommended limits to human health.

Multicity study of air pollution and mortality in Latin America (the ESCALA study).

INTRODUCTION: The ESCALA* project (Estudio de Salud y Contaminación del Aire en Latinoamérica) is an HEI-funded study that aims to examine the association between exposure to outdoor air pollution and mortality in nine Latin American cities, using a common analytic framework to obtain comparable and updated information on the effects of air pollution on several causes of death in different age groups. This report summarizes the work conducted between 2006 and 2009, describes the methodologic issues addressed during project development, and presents city-specific results of meta-analyses and meta-regression analyses. METHODS: The ESCALA project involved three teams of investigators responsible for collection and analysis of city-specific air pollution and mortality data from three different countries. The teams designed five different protocols to standardize the methods of data collection and analysis that would be used to evaluate the effects of air pollution on mortality (see Appendices B-F). By following the same protocols, the investigators could directly compare the results among cities. The analysis was conducted in two stages. The first stage included analyses of all-natural-cause and cause-specific mortality related to particulate matter < or = 10 pm in aerodynamic diameter (PM10) and to ozone (O3) in cities of Brazil, Chile, and México. Analyses for PM10 and O3 were also stratified by age group and O3 analyses were stratified by season. Generalized linear models (GLM) in Poisson regression were used to fit the time-series data. Time trends and seasonality were modeled using natural splines with 3, 6, 9, or 12 degrees of freedom (df) per year. Temperature and humidity were also modeled using natural splines, initially with 3 or 6 df, and then with degrees of freedom chosen on the basis of residual diagnostics (i.e., partial autocorrelation function [PACF], periodograms, and a Q-Q plot) (Appendix H, available on the HEI Web site). Indicator variables for day-of-week and holidays were used to account for short-term cyclic fluctuations. To assess the association between exposure to air pollution and risk of death, the PM10 and O3 data were fit using distributed lag models (DLMs). These models are based on findings indicating that the health effects associated with air pollutant concentrations on a given day may accumulate over several subsequent days. Each DLM measured the cumulative effect of a pollutant concentration on a given day (day 0) and that day's contribution to the effect of that pollutant on multiple subsequent (lagged) days. For this study, exposure lags of up to 3, 5, and 10 days were explored. However, only the results of the DLMs using a 3-day lag (DLM 0-3) are presented in this report because we found a decreasing association with mortality in various age-cause groups for increasing lag effects from 3 to 5 days for both PM10 and O3. The potential modifying effect of socioeconomic status (SES) on the association of PM10 or O3 concentration and mortality was also explored in four cities: Mexico City, Rio de Janeiro, São Paulo, and Santiago. The methodology for developing a common SES index is presented in the report. The second stage included meta-analyses and metaregression. During this stage, the associations between mortality and air pollution were compared among cities to evaluate the presence of heterogeneity and to explore city-level variables that might explain this heterogeneity. Meta-analyses were conducted to combine mortality effect estimates across cities and to evaluate the presence of heterogeneity among city results, whereas meta-regression models were used to explore variables that might explain the heterogeneity among cities in mortality risks associated with exposures to PM10 (but not to O3). RESULTS: The results of the mortality analyses are presented as risk percent changes (RPC) with a 95% confidence interval (CI). RPC is the increase in mortality risk associated with an increase of 10 microg/m3 in the 24-hour average concentration of PM10 or in the daily maximum 8-hour moving average concentration of O3. Most of the results for PM10 were positive and statistically significant, showing an increased risk of mortality with increased ambient concentrations. Results for O3 also showed a statistically significant increase in mortality in the cities with available data. With the distributed lag model, DLM 0-3, PM10 ambient concentrations were associated with an increased risk of mortality in all cities except Concepci6n and Temuco. In Mexico City and Santiago the RPC and 95% CIs were 1.02% (0.87 to 1.17) and 0.48% (0.35 to 0.61), respectively. PM10 was also significantly associated with increased mortality from cardiopulmonary, respiratory, cardiovascular, cerebrovascular-stroke, and chronic obstructive lung diseases (COPD) in most cities. The few nonsignificant effects generally were observed in the smallest cities (Concepción, Temuco, and Toluca). The percentage increases in mortality associated with ambient O3 concentrations were smaller than for those associated with PM10. All-natural-cause mortality was significantly related to O3 in Mexico City, Monterrey, São Paulo and Rio de Janeiro. Increased mortality risks for some specific causes were also observed in these cities and in Santiago. In the analyses stratified by season, different patterns in mortality and O3 were observed for cold and warm seasons. Risk estimates for the warm season were larger and significant for several causes of death in São Paulo and Rio de Janeiro. Risk estimates for the cold season were larger and significant for some causes of death in Mexico City, Monterrey, and Toluca. In an analysis stratified by SES, the all-natural-cause mortality risk in Mexico City was larger for people with a medium SES; however we observed that the risk of mortality related to respiratory causes was larger among people with a low SES, while the risk of mortality related to cardiovascular and cerebrovascular-stroke causes was larger among people with medium or high SES. In São Paulo, the all-natural-cause mortality risk was larger in people with a high SES, while in Rio de Janeiro the all-natural-cause mortality risk was larger in people with a low SES. In both Brazilian cities, the risks of mortality were larger for respiratory causes, especially for the low- and high-SES groups. In Santiago, all-natural-cause mortality risk did not vary with level of SES; however, people with a low SES had a higher respiratory mortality risk, particularly for COPD. People with a medium SES had larger risks of mortality from cardiovascular and cerebrovascular-stroke disease. The effect of ambient PM10 concentrations on infant and child mortality from respiratory causes and lower respiratory infection (LRI) was studied only for Mexico City, Santiago, and São Paulo. Significant increased mortality risk from these causes was observed in both Santiago (in infants and older children) and Mexico City (only in infants). For O3, an increased mortality risk was observed in Mexico City (in infants and older children) and in São Paulo (only in infants during the warm season). The results of the meta-analyses confirmed the positive and statistically significant association between PM10 and all-natural-cause mortality (RPC = 0.77% [95% CI: 0.60 to 1.00]) using the random-effects model. For mortality from specific causes, the percentage increase in mortality ranged from 0.72% (0.54 to 0.89) for cardiovascular disease to 2.44% (1.36 to 3.59) for COPD, also using the random-effects model. For O3, significant positive associations were observed using the random-effects model for some causes, but not for all natural causes or for respiratory diseases in people 65 years or older (> or = 65 years), and not for COPD and cerebrovascular-stroke in the all-age and the > or = 65 age groups. The percentage increase in all-natural-cause mortality was 0.16% (-0.02 to 0.33). In the meta-regression analyses, variables that best explained heterogeneity in mortality risks among cities were the mean average of temperature in the warm season, population percentage of infants (< 1 year), population percentage of children at least 1 year old but < 5 years (i.e., 1-4 years), population percentage of people > or = 65 years, geographic density of PM10 monitors, annual average concentrations of PM10, and mortality rates for lung cancer. CONCLUSIONS: The ESCALA project was undertaken to obtain information for assessing the effects of air pollutants on mortality in Latin America, where large populations are exposed to relatively high levels of ambient air pollution. An important goal was to provide evidence that could inform policies for controlling air pollution in Latin America. This project included the development of standardized protocols for data collection and for statistical analyses as well as statistical analytic programs (routines developed in R by the ESCALA team) to insure comparability of results. The analytic approach and statistical programming developed within this project should be of value for researchers carrying out single-city analyses and should facilitate the inclusion of additional Latin American cities within the ESCALA multicity project. Our analyses confirm what has been observed in other parts of the world regarding the effects of ambient PM10 and 03 concentrations on daily mortality. They also suggest that SES plays a role in the susceptibility of a population to air pollution; people with a lower SES appeared to have an increased risk of death from respiratory causes, particularly COPD. Compared with the general population, infants and young children appeared to be more susceptible to both PM10 and O3, although an increased risk of mortality was not observed in these age groups in all cities. (ABSTRACT TRUNCATED)

Trend in the prevalence of depressive symptoms in Brazil: results from the Brazilian National Health Survey 2013 and 2019.

This study aims to evaluate national variation in depression prevalence and in different sociodemographic groups, health behaviors, and macroregions of Brazil from 2013 to 2019. Data were obtained from two nationwide Brazilian surveys - Brazilian National Health Survey 2013 and 2019. Participants aged 18 years or older were included, totaling 60,202 individuals in 2013 and 88,531 in 2019. Depression was evaluated with the Patient Health Questionnaire-9 (PHQ-9). All estimations accounted for the population weights and the complex sampling. The findings showed that during the six years between the two surveys, the prevalence of depression in Brazil increased by 36.7%, going from 7.9% in 2013 to 10.8% in 2019, and this increase is higher among unemployed young adults, aged 18 to 24 years, with the increase in the prevalence of depression almost tripled (3.7 in 2013 and 10.3 in 2019), an increase of 178.4%. Those dwelling in urban areas had a higher increase in the prevalence of depression in the six-year period (39.8%) when compared to residents in rural areas (20.2%). There was an increase in the prevalence of depression from 2013 to 2019 for the worst categories of the three health behaviors included in the study for both men and women: heavy drinking, smoking, and not exercising the recommended level of physical activity. Our results show a significant increase in the prevalence of depression over the six years between the two surveys, mainly among the younger and unemployed men. The country's economic recession during this period may explain these findings.

Improving geocoding matching rates of structured addresses in Rio de Janeiro, Brazil.

Strategies for improving geocoded data often rely on interactive manual processes that can be time-consuming and impractical for large-scale projects. In this study, we evaluated different automated strategies for improving address quality and geocoding matching rates using a large dataset of addresses from death records in Rio de Janeiro, Brazil. Mortality data included 132,863 records with address information in a structured format. We performed regular expressions and dictionary-based methods for address standardization and enrichment. All records were linked by their postal code or street name to the Brazilian National Address Directory (DNE) obtained from Brazil's Postal Service. Residential addresses were geocoded using Google Maps. Records with address data validated down to the street level and location type returned as rooftop, range interpolated, or geometric center were considered a geocoding match. The overall performance was assessed by manually reviewing a sample of addresses. Out of the original 132,863 records, 85.7% (n = 113,876) were geocoded and validated, out of which 83.8% were matched as rooftop (high accuracy). Overall sensitivity and specificity were 87% (95%CI: 86-88) and 98% (95%CI: 96-99), respectively. Our results indicate that address quality and geocoding completeness can be reliably improved with an automated geocoding process. R scripts and instructions to reproduce all the analyses are available at https://github.com/reprotc/geocoding.

[Contextual and individual determinants of use of newborn hearing screening: the Brazilian National Health Survey, 2013]. / Determinantes contextuais e individuais da utilização da triagem auditiva neonatal: Pesquisa Nacional de Saúde, 2013.

The current study assessed the effect of contextual and individual determinants of the use of newborn hearing screening in Brazilian state capitals and the Federal District. The conceptual theoretical model proposed by Andersen & Davidson (2014) oriented the analyses using multilevel logistic modeling with data from the Brazilian National Health Survey, 2013. The study population (n = 585) is representative of 230,112 pairs of women/responsible person over 18 years of age and their respective children under 2 years of age. At the contextual level (state capitals and Federal District), the use of newborn hearing screening was determined by the proportion of extremely poor individuals (odds ratio - OR = 0.91; 95% confidence interval - 95%CI: 0.83-0.99) and by monthly coverage of newborn hearing screening (OR = 1.02; 95%CI: 1.01-1.02). At the individual level, use of newborn hearing screening was higher in the maternal age bracket 25 to 39 years, compared to < 25 years. The odds of use of newborn hearing screening were lower in mothers with brown race/color (OR = 0.47; 95%CI: 0.26-0.83) compared to white mothers. As for schooling, complete university education nearly tripled the odds of newborn hearing screening when compared to primary schooling (OR = 2.99; 95%CI: 1.15-7.79). Predominantly private prenatal care increased the odds of using newborn hearing screening by 2.18 times, compared to public prenatal care (OR = 2.18; 95%CI: 1.02-4.64). Effective enforcement of existing hearing health laws and policies and prioritization of primary healthcare and health education practices with a focus on more vulnerable newborns, based on the characteristics identified in this study, are initiatives that can help ensure an equitable social protection system.

O presente estudo avaliou o efeito de determinantes contextuais e individuais da utilização da triagem auditiva neonatal no Distrito Federal e capitais brasileiras. O modelo teórico conceitual proposto por Andersen & Davidson (2014) orientou as análises mediante modelagem logística multinível, com dados da Pesquisa Nacional de Saúde, 2013. A população observada (n = 585) é representativa de 230.112 duplas de mulheres/responsáveis acima de 18 anos e respectivas crianças menores de 2 anos de idade. No nível contextual (Distrito Federal e capitais), a utilização da triagem auditiva neonatal foi determinada pela proporção de indivíduos extremamente pobres (razão de chances - RC = 0,91; intervalo de 95% de confiança - IC95%: 0,83-0,99) e pela cobertura mensal da triagem auditiva neonatal (RC = 1,02; IC95%: 1,01-1,02). No nível individual, verificou-se maior uso de triagem auditiva neonatal na faixa etária entre 25 e 39 anos, em comparação às < 25 anos. A chance de utilização de triagem auditiva neonatal foi menor em respondentes com raça/cor da pele parda (RC = 0,47; IC95%: 0,26-0,83) em comparação com brancas. Quanto à escolaridade, verificou-se que possuir Ensino Superior completo quase triplicou a chance de uso de triagem auditiva neonatal, em contraste com Ensino Fundamental de estudo formal (RC = 2,99; IC95%: 1,15-7,79). O pré-natal predominantemente privado aumentou em 2,18 vezes a chance de utilizar a triagem auditiva neonatal , em comparação ao público (RC = 2,18; IC95%: 1,02-4,64). A aplicação efetiva de leis e políticas de saúde auditiva já existentes e a priorização de práticas de atenção básica e educação em saúde com foco em neonatos em maior vulnerabilidade, conforme as características identificadas nesse estudo, são iniciativas para ensejar um sistema de proteção social equânime.

El presente estudio evaluó el efecto de determinantes contextuales e individuales en la utilización del tamizaje auditivo neonatal en el distrito federal y capitales brasileñas. El modelo teórico conceptual, propuesto por Andersen & Davidson (2014), orientó los análisis mediante un modelado logístico multinivel, con datos de la Encuesta Nacional de Salud, 2013. La población observada (n = 585) es representativa de 230.112 parejas de mujeres/responsables con más de 18 años y sus respectivos niños menores de 2 años de edad. En el nivel contextual (distrito federal y capitales), la utilización del tamizaje auditivo neonatal estuvo determinada por la proporción de individuos extremadamente pobres (oportunidad relativa - OR = 0,91; intervalo de 95% de confianza - IC95%: 0,83-0,99) y por la cobertura mensual del tamizaje auditivo neonatal (OR = 1,02; IC95%: 1,01-1,02). En el nivel individual, se verificó un mayor uso de tamizaje auditivo neonatal en la franja etaria entre 25 a 39 años, en comparación con las de < 25 años. La oportunidad de utilización de tamizaje auditivo neonatal fue menor en informantes con raza/color de la piel parda (OR = 0,47; IC95%: 0,26-0,83), en comparación con las blancas. Respecto a la escolaridad, se verificó que posee un Nivel Superior completo casi triplicó la oportunidad de uso de tamizaje auditivo neonatal, en contraste con el Nivel Fundamental de estudio formal (OR = 2,99; IC95%: 1,15-7,79). El prenatal, predominantemente privado, aumentó en 2,18 veces la oportunidad de utilizar el tamizaje auditivo neonatal, en comparación con el público (OR = 2,18; IC95%: 1,02-4,64). La aplicación efectiva de leyes y políticas de salud auditiva ya existentes, y la priorización de prácticas de atención básica y educación en salud, centrándose en neonatos de mayor vulnerabilidad, conforme las características identificadas en ese estudio, son iniciativas para exhibir un sistema de protección social ecuánime.