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Importance: There is limited evidence of the association of conditional cash transfers, an important strategy to reduce poverty, with prevention of adverse birth-related outcomes. Objective: To investigate the association between receiving benefits from the Bolsa Família Program (BFP) and birth weight indicators. Design, Setting, and Participants: This cohort study used a linked data resource, the Centro de Integracao de Dados e Conhecimentos Para Saude (CIDACS) birth cohort. All live-born singleton infants born to mothers registered in the cohort between January 2012 and December 2015 were included. Each analysis was conducted for the overall population and separately by level of education, self-reported maternal race, and number of prenatal appointments. Data were analyzed from January 3 to April 24, 2023. Exposure: Live births of mothers who had received BFP until delivery (for a minimum of 9 months) were classified as exposed and compared with live births from mothers who did not receive the benefit prior to delivery. Main Outcomes and Measures: Low birth weight (LBW), birth weight in grams, and small for gestational age (SGA) were evaluated. Analytical methods used included propensity score estimation, kernel matching, and weighted logistic and linear regressions. Race categories included Parda, which translates from Portuguese as "brown" and is used to denote individuals whose racial background is predominantly Black and those with multiracial or multiethnic ancestry, including European, African, and Indigenous origins. Results: A total of 4 277 523 live births (2 085 737 females [48.8%]; 15 207 among Asian [0.4%], 334 225 among Black [7.8%], 29 115 among Indigenous [0.7%], 2 588 363 among Parda [60.5%], and 1 310 613 among White [30.6%] mothers) were assessed. BFP was associated with an increase of 17.76 g (95% CI, 16.52-19.01 g) in birth weight. Beneficiaries had an 11% lower chance of LBW (odds ratio [OR], 0.89; 95% CI, 0.88-0.90). BFP was associated with a greater decrease in odds of LBW among subgroups of mothers who attended fewer than 7 appointments (OR, 0.85; 95% CI, 0.84-0.87), were Indigenous (OR, 0.73; 95% CI, 0.61-0.88), and had 3 or less years of education (OR, 0.76; 95% CI, 0.72-0.81). There was no association between BFP and SGA, except among less educated mothers, who had a reduced risk of SGA (OR, 0.83; 95% CI, 0.79-0.88). Conclusions and Relevance: This study found that BFP was associated with increased birth weight and reduced odds of LBW, with a greater decrease in odds of LBW among higher-risk groups. These findings suggest the importance of maintaining financial support for mothers at increased risk of birth weight-related outcomes.

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To investigate the impact of cash transfer (CTs) on birth outcomes, including birth weight, low birth weight and prematurity, as well as child physical growth were included, as assessed by anthropometric indices in children under five years of age. Searching was performed using the PubMed/Medline, Embase, LILACS, Cochrane Library, Scopus and Web of Science databases. Quantitative observational, experimental and quasi-experimental. Eleven studies were included in the review. The majority (81.8%) were carried out in low-and middle-income countries and most involved conditional CTs (63.6%). Four were clinical trials and seven were observational studies. Conditional CTs were found to be associated with a reduction in height-for-age (-0.14; 95%CI -0.27, -0.02); (OR 0.85; 95%CI 0.77-0.94); (OR = 0.44; 95%CI 0.19-0.98), a significantly reduced chance of low weight-for-age (OR = 0.16; 95%CI -0.11-0.43), low weight-for-height (OR = -0.68; 95%CI -1.14, -0.21), and low weight-for-age (OR = 0.27; 95%CI 0.10; 0.71). Unconditional CTs were associated with reduced birth weight (RR = 0.71; 95%CI 0.63-0.81; p < 0.0001) and preterm births (RR = 0.76; 95%CI 0.69-0.84; p < 0.0001). Conditional CTs can positively influence birth outcomes and child growth.

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Abstract To investigate the impact of cash transfer (CTs) on birth outcomes, including birth weight, low birth weight and prematurity, as well as child physical growth were included, as assessed by anthropometric indices in children under five years of age. Searching was performed using the PubMed/Medline, Embase, LILACS, Cochrane Library, Scopus and Web of Science databases. Quantitative observational, experimental and quasi-experimental. Eleven studies were included in the review. The majority (81.8%) were carried out in low-and middle-income countries and most involved conditional CTs (63.6%). Four were clinical trials and seven were observational studies. Conditional CTs were found to be associated with a reduction in height-for-age (-0.14; 95%CI -0.27, -0.02); (OR 0.85; 95%CI 0.77-0.94); (OR = 0.44; 95%CI 0.19-0.98), a significantly reduced chance of low weight-for-age (OR = 0.16; 95%CI -0.11-0.43), low weight-for-height (OR = -0.68; 95%CI -1.14, -0.21), and low weight-for-age (OR = 0.27; 95%CI 0.10; 0.71). Unconditional CTs were associated with reduced birth weight (RR = 0.71; 95%CI 0.63-0.81; p < 0.0001) and preterm births (RR = 0.76; 95%CI 0.69-0.84; p < 0.0001). Conditional CTs can positively influence birth outcomes and child growth.

Resumo Investigar o impacto dos programas de tranferência de renda (CTs) nos desfechos ao nascer, incluindo peso ao nascer, baixo peso ao nascer e prematuridade, e crescimento físico infantil, avaliado pelos índices antropométricos de crianças menores de cinco anos. Revisão sistemática realizada nas bases de dados PubMed/Medline, Embase, LILACS, Cochrane Library, Scopus e Web of Science. Foram incluídos estudos quantitativos observacionais, experimentais e quasi-experimentais, com um total de 11 estudos na revisão. A maioria (81,8%) foi realizada em países de baixa e média rendas. Também na modalidade CT condicionais (63,6%). Quatro eram ensaios clínicos, e sete observacionais. Os CT condicionais estiveram associados a uma redução nos índices de altura-para-idade (-0,14; IC95% -0,27, -0,02); (OR 0,85; IC95% 0,77-0,94); (OR = 0,44; IC95% 0,19-0,98), redução significativa na chance de baixo peso-para-idade (OR = 0,16; IC95% -0,11-0,43), baixo peso-para-altura (OR = -0,68; IC95% -1,14, -0,21), e redução de peso para idade (OR = 0,27; IC95% 0,10; 0,71). CTs não condicionais foram associados à redução do baixo peso as nascer (RR = 0,71; IC95% 0,63-0,81; p < 0,0001), e de prematuros (RR = 0,76; IC95% 0,69-0,84; p < 0,0001). Os CTs condicionais podem influenciar positivamente os desfechos ao nascer e o crescimento infantil.

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BACKGROUND: Physical, emotional, and social changes, including exposure to poverty, abuse, or violence, increases youth vulnerability to mental illness. These factors interfere with development, limit opportunities, and hamper achievement of a fulfilling life as adults. Addressing these issues can lead to improved outcomes at the population level and better cost-effectiveness for health services. Cash transfer programs have been a promising way to address social drivers for poor mental health. However, it is still unclear which pathways and mechanisms explain the association between socioeconomic support and lower mental illness among youth. Therefore, we will evaluate the effect of social drivers on youth mental health-related hospitalizations and suicide, test mechanisms and pathways of a countrywide socioeconomic intervention, and examine the timing of the intervention during the life course. METHODS: We will combine individual-level data from youth national hospitalization, mental health disorders and attempted suicide, suicide registries and notifications of violence, with large-scale databases, including "The 100 Million Brazilian Cohort", over an 18-year period (2001-2018). Several approaches will be used for the retrospective quasi-experimental impact evaluations, such as Regression Discontinuity Designs, Propensity Score Matching and difference-in-differences, combined with multivariable regressions for cohort analyses. We will run multivariate regressions based on hierarchical analysis approach to evaluate the association between important social drivers (mental health care, demographic and economic aspects) on mental health-related hospitalizations and suicide among youth. Furthermore, we will perform microsimulations to generate projections regarding how mental health-related hospitalizations and suicide trends will be in the future based on the current state, and how BFP implementation scenarios will affect these trends. DISCUSSION: The results of this project will be of vital importance to guide policies and programs to improve mental health and reduce mental health-related hospitalizations and suicide in youth. It will provide information to improve the effectiveness of these programs worldwide. If cash transfers can decrease mental health problems among youth and reduce suicide.

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Resumo O nascimento prematuro (NP) é uma síndrome resultante de uma complexa relação entre múltiplos fatores que não possuem relações e causalidade totalmente compreendidas. Esse artigo traz uma discussão de um modelo teórico hierarquizado dos determinantes de NP, considerando características maternas como aspectos sociodemográficos, psicossociais, nutricionais, comportamentais e biológicos, tradicionalmente associados ao risco aumentado de NP. As variáveis foram distribuídas em seis dimensões, alocadas em três níveis hierárquicos (distal, intermediário e proximal). Nesse modelo, os determinantes socioeconômicos da mãe, da família, do domicílio e do bairro exercem efeitos indiretos sobre o NP por meio de variáveis no nível intermediário, que por sua vez afetam fatores biológicos de risco no nível proximal, os quais apresentam um efeito direto sobre o NP. O estudo adota um modelo teórico hierarquizado dos fatores envolvidos na cadeia de determinação do NP e suas inter-relações. O entendimento dessas inter-relações é um passo importante na tentativa de interromper a cadeia causal que torna algumas mulheres vulneráveis ao parto prematuro.

Abstract Preterm birth (PB) is a syndrome resulting from a complex relationship between multiple factors which do not have fully understood relationships and causality. This article discusses a hierarchical theoretical model of PB determinants, considering maternal characteristics such as sociodemographic, psychosocial, nutritional, behavioral and biological aspects, traditionally associated with increased risk of PB. The variables were distributed in six dimensions within three hierarchical levels (distal, intermediate and proximal). In this model, the socioeconomic determinants of the mother, family, household and neighborhood play indirect effects on PB through variables at the intermediate level, which in turn affect biological risk factors at the proximal level that have a direct effect on PB. The study presents a hierarchical theoretical model of the factors involved in the PB determination chain and their interrelationships. Understanding these interrelationships is an important step in trying to break the causal chain that makes some women vulnerable to preterm birth.

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Preterm birth (PB) is a syndrome resulting from a complex relationship between multiple factors which do not have fully understood relationships and causality. This article discusses a hierarchical theoretical model of PB determinants, considering maternal characteristics such as sociodemographic, psychosocial, nutritional, behavioral and biological aspects, traditionally associated with increased risk of PB. The variables were distributed in six dimensions within three hierarchical levels (distal, intermediate and proximal). In this model, the socioeconomic determinants of the mother, family, household and neighborhood play indirect effects on PB through variables at the intermediate level, which in turn affect biological risk factors at the proximal level that have a direct effect on PB. The study presents a hierarchical theoretical model of the factors involved in the PB determination chain and their interrelationships. Understanding these interrelationships is an important step in trying to break the causal chain that makes some women vulnerable to preterm birth.

O nascimento prematuro (NP) é uma síndrome resultante de uma complexa relação entre múltiplos fatores que não possuem relações e causalidade totalmente compreendidas. Esse artigo traz uma discussão de um modelo teórico hierarquizado dos determinantes de NP, considerando características maternas como aspectos sociodemográficos, psicossociais, nutricionais, comportamentais e biológicos, tradicionalmente associados ao risco aumentado de NP. As variáveis foram distribuídas em seis dimensões, alocadas em três níveis hierárquicos (distal, intermediário e proximal). Nesse modelo, os determinantes socioeconômicos da mãe, da família, do domicílio e do bairro exercem efeitos indiretos sobre o NP por meio de variáveis no nível intermediário, que por sua vez afetam fatores biológicos de risco no nível proximal, os quais apresentam um efeito direto sobre o NP. O estudo adota um modelo teórico hierarquizado dos fatores envolvidos na cadeia de determinação do NP e suas inter-relações. O entendimento dessas inter-relações é um passo importante na tentativa de interromper a cadeia causal que torna algumas mulheres vulneráveis ao parto prematuro.

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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.

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BACKGROUND: More doses of CoronaVac have been administered worldwide than any other COVID-19 vaccine. However, the effectiveness of COVID-19 inactivated vaccines in pregnant women is still unknown. We estimated the vaccine effectiveness (VE) of CoronaVac against symptomatic and severe COVID-19 in pregnant women in Brazil. METHODS: We conducted a test-negative design study in all pregnant women aged 18-49 years with COVID-19-related symptoms in Brazil from March 15, 2021, to October 03, 2021, linking records of negative and positive SARS-CoV-2 reverse transcription polymerase chain reaction (RT-PCR) tests to national vaccination records. We also linked records of test-positive cases with notifications of severe, hospitalised or fatal COVID-19. Using logistic regression, we estimated the adjusted odds ratio and VE against symptomatic COVID-19 and against severe COVID-19 by comparing vaccine status in test-negative subjects to test-positive symptomatic cases and severe cases. RESULTS: Of the 19,838 tested pregnant women, 7424 (37.4%) tested positive for COVID-19 and 588 (7.9%) had severe disease. Only 83% of pregnant women who received the first dose of CoronaVac completed the vaccination scheme. A single dose of the CoronaVac vaccine was not effective at preventing symptomatic COVID-19. The effectiveness of two doses of CoronaVac was 41% (95% CI 27.1-52.2) against symptomatic COVID-19 and 85% (95% CI 59.5-94.8) against severe COVID-19. CONCLUSIONS: A complete regimen of CoronaVac in pregnant women was effective in preventing symptomatic COVID-19 and highly effective against severe illness in a setting that combined high disease burden and marked COVID-19-related maternal deaths.

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