Resumo As anomalias congênitas (AC) configuram um relevante problema para a saúde pública global, afetando em média de 3% a 6% dos recém-nascidos em todo o mundo. No Brasil, ocupam a segunda posição entre os principais grupos de causas de óbito infantil. Assim, estudos amplos são necessários para mostrar o impacto das AC na saúde infantil. O presente estudo descreve a tendência temporal da prevalência e da mortalidade infantil por AC entre nascidos vivos (NV) no Brasil e em suas cinco regiões de 2001 a 2018, utilizando dados vinculados entre as bases de dados do Sistema de Informações sobre Nascidos Vivos (SINASC) e do Sistema de Informações sobre Mortalidade (SIM). A prevalência e mortalidade infantil por AC mostrou-se crescente no Brasil na maioria das regiões, principalmente no Norte e no Nordeste. Aquelas do aparelho osteomuscular foram as mais prevalentes ao nascimento (29,8/10.000 NV); as do aparelho circulatório passaram para a segunda posição (12,7/10.000 NV) após a vinculação das bases e representam a primeira causa de morte desse grupo. A técnica de vinculação de dados aplicada corrigiu a prevalência nacional das AC em 17,9% no período analisado, após serem recuperadas as AC notificadas no SIM, mostrando ser uma boa ferramenta para melhorar a qualidade das informações das AC. (AC global 3 6 recémnascidos recém mundo Assim NV (NV 200 2018 SINASC (SINASC SIM. SIM . (SIM) mostrouse mostrou se Nordeste 29,8/10.000 29810000 29 8 10 000 (29,8/10.00 12,7/10.000 12710000 12 7 (12,7/10.00 grupo 179 17 9 17,9 analisado 20 201 (SIM 29,8/10.00 2981000 2 1 00 (29,8/10.0 12,7/10.00 1271000 (12,7/10.0 17, 29,8/10.0 298100 0 (29,8/10. 12,7/10.0 127100 (12,7/10. 29,8/10. 29810 (29,8/10 12,7/10. 12710 (12,7/10 29,8/10 2981 (29,8/1 12,7/10 1271 (12,7/1 29,8/1 298 (29,8/ 12,7/1 127 (12,7/ 29,8/ (29,8 12,7/ (12,7 29,8 (29, 12,7 (12, 29, (29 12, (12 (2 (1 (

Abstract Congenital anomalies (CA) are a relevant problem for global public health, affecting about 3% to 6% of newborns worldwide. In Brazil, these are the second main cause of infant mortality. Thus, extensive studies are needed to demonstrate the impact of these anomalies on births and deaths. The present study describes the temporal trends of prevalence and infant mortality due to CA among live births in Brazil and regions, from 2001 to 2018, using the related data between the Live Birth Information System (SINASC, acronym in Portuguese) and the Mortality Information System (SIM, acronym in Portuguese). The prevalence and infant mortality due to CA has increased in Brazil and in most regions, especially in the Northeast and North. CAs in the musculoskeletal system were the most frequent at birth (29.8/10,000 live births), followed by those in the circulatory system (12.7/10,000 live births), which represented the primary cause of death in this group. The applied linkage technique made it possible to correct the national prevalence of CA by 17.9% during the analyzed period, after retrieving the anomalies reported in SIM, thereby proving to be a good tool to improve the quality of information on anomalies in Brazil. (CA health 3 6 worldwide Thus deaths regions 200 2018 SINASC, SINASC (SINASC Portuguese SIM (SIM Portuguese. . North 29.8/10,000 29810000 29 8 10 000 (29.8/10,00 births, , births) 12.7/10,000 12710000 12 7 (12.7/10,00 group 179 17 9 17.9 period 20 201 29.8/10,00 2981000 2 1 00 (29.8/10,0 12.7/10,00 1271000 (12.7/10,0 17. 29.8/10,0 298100 0 (29.8/10, 12.7/10,0 127100 (12.7/10, 29.8/10, 29810 (29.8/10 12.7/10, 12710 (12.7/10 29.8/10 2981 (29.8/1 12.7/10 1271 (12.7/1 29.8/1 298 (29.8/ 12.7/1 127 (12.7/ 29.8/ (29.8 12.7/ (12.7 29.8 (29. 12.7 (12. 29. (29 12. (12 (2 (1 (

Resumo As anomalias congênitas (AC) configuram um relevante problema para a saúde pública global, afetando em média de 3% a 6% dos recém-nascidos em todo o mundo. No Brasil, ocupam a segunda posição entre os principais grupos de causas de óbito infantil. Assim, estudos amplos são necessários para mostrar o impacto das AC na saúde infantil. O presente estudo descreve a tendência temporal da prevalência e da mortalidade infantil por AC entre nascidos vivos (NV) no Brasil e em suas cinco regiões de 2001 a 2018, utilizando dados vinculados entre as bases de dados do Sistema de Informações sobre Nascidos Vivos (SINASC) e do Sistema de Informações sobre Mortalidade (SIM). A prevalência e mortalidade infantil por AC mostrou-se crescente no Brasil na maioria das regiões, principalmente no Norte e no Nordeste. Aquelas do aparelho osteomuscular foram as mais prevalentes ao nascimento (29,8/10.000 NV); as do aparelho circulatório passaram para a segunda posição (12,7/10.000 NV) após a vinculação das bases e representam a primeira causa de morte desse grupo. A técnica de vinculação de dados aplicada corrigiu a prevalência nacional das AC em 17,9% no período analisado, após serem recuperadas as AC notificadas no SIM, mostrando ser uma boa ferramenta para melhorar a qualidade das informações das AC.

Abstract Congenital anomalies (CA) are a relevant problem for global public health, affecting about 3% to 6% of newborns worldwide. In Brazil, these are the second main cause of infant mortality. Thus, extensive studies are needed to demonstrate the impact of these anomalies on births and deaths. The present study describes the temporal trends of prevalence and infant mortality due to CA among live births in Brazil and regions, from 2001 to 2018, using the related data between the Live Birth Information System (SINASC, acronym in Portuguese) and the Mortality Information System (SIM, acronym in Portuguese). The prevalence and infant mortality due to CA has increased in Brazil and in most regions, especially in the Northeast and North. CAs in the musculoskeletal system were the most frequent at birth (29.8/10,000 live births), followed by those in the circulatory system (12.7/10,000 live births), which represented the primary cause of death in this group. The applied linkage technique made it possible to correct the national prevalence of CA by 17.9% during the analyzed period, after retrieving the anomalies reported in SIM, thereby proving to be a good tool to improve the quality of information on anomalies in Brazil.

Objective: Multimorbidity, or the occurrence of two or more chronic conditions, is a global challenge, with implications for mortality, morbidity, disability, and life quality. Psychiatric disorders are common among the chronic diseases that affect patients with multimorbidity. It is still not well understood whether psychiatric symptoms, especially depressive symptoms, moderate the effect of multimorbidity on cognition. Methods: We used a large (n=2,681) dataset to assess whether depressive symptomatology moderates the effect of multimorbidity on cognition using structural equation modelling. Results: It was found that the more depressive symptoms and chronic conditions, the worse the cognitive performance, and the higher the educational level, the better the cognitive performance. We found a significant but weak (0.009; p = 0.04) moderating effect. Conclusion: We have provided the first estimate of the moderating effect of depression on the relation between multimorbidity and cognition, which was small. Although this moderation has been implied by many previous studies, it was never previously estimated.

Abstract Objective: To describe the consequences of social inequalities on children's health as a global and persistent problem, demonstrating its historical and structural roots in different societies. Data sources: Relevant articles in the PubMed/MEDLINE database, in addition to those found in a manual search and in the bibliographic references of selected studies and consultation to the websites of international organizations to obtain relevant data and documents. Data synthesis: To understand how inequities affect health, it is necessary to know the unequal distribution of their social determinants among population groups. In the case of children, the parental pathway of determinants is central. The non-equitable way in which many families or social groups live, determined by social and economic inequalities, produces unequal health outcomes, particularly for children. This is observed between and within countries. Children from the most vulnerable population groups consistently have worse health conditions. Interventions aimed at children's health must go beyond care and act in an integrated manner on poverty and on social and economic inequalities, aiming to end systematic and unfair differences. Conclusions: Despite the considerable advances observed in children's health in recent decades at a global level, the inequalities measured by different indicators show that they persist. This scenario deserves attention from researchers and decision-makers, especially in the context of the global health crisis caused by the COVID-19 pandemic, which has further intensified the situation of vulnerability and social inequalities in health around the world.

Resumo A avalição da efetividade de vacinas é feita com dados do mundo real e é essencial para monitorar o desempenho dos programas de vacinação ao longo do tempo bem como frente a novas variantes. Até o momento, a avaliação da efetividade das vacinas para COVID-19 tem sido baseada em métodos clássicos como estudos de coorte e caso controle teste-negativo, que muitas vezes podem não permitir o adequado controle dos vieses intrínsecos da alocação das campanhas de vacinação. O objetivo dessa revisão foi discutir os desenhos de estudo disponíveis para avaliação de efetividade das vacinas, enfatizando os estudos quase-experimentais, que buscam mimetizar os estudos aleatorizados ao introduzir um componente exógeno para atribuição ao tratamento, bem como suas vantagens, limitações e aplicabilidade no contexto dos dados brasileiros. O emprego de métodos quase-experimentais, incluindo as séries temporais interrompidas, o método de diferença em diferenças, escore de propensão, variáveis instrumentais e regressão descontínua, são relevantes pela possibilidade de gerar estimativas mais acuradas da efetividade de vacinas para COVID-19 em cenários como o brasileiro, que se caracteriza pelo uso de várias vacinas, com respectivos número e intervalos entre doses, aplicadas em diferentes faixas etárias e em diferentes momentos da pandemia.

Abstract The evaluation of vaccine effectiveness is conducted with real-world data. They are essential to monitor the performance of vaccination programmes over time, and in the context of the emergence of new variants. Until now, the effectiveness of COVID-19 vaccines has been assessed based on classic methods, such as cohort and test-negative case-control studies, which may often not allow for adequate control of inherent biases in the assignment of vaccination campaigns. The aim of this review was to discuss the study designs available to evaluate vaccine effectiveness, highlighting quasi-experimental studies, which seek to mimic randomized trials, by introducing an exogenous component to allocate to treatment, in addition to the advantages, limitations, and applicability in the context of Brazilian data. The use of quasi-experimental approaches, such as interrupted time series, difference-in-differences, propensity scores, instrumental variables, and regression discontinuity design, are relevant due to the possibility of providing more accurate estimates of COVID-19 vaccine effectiveness. This is especially important in scenarios such as the Brazilian, which characterized by the use of various vaccines, with the respective numbers and intervals between doses, applied to different age groups, and introduced at different times during the pandemic.

Resumo A avalição da efetividade de vacinas é feita com dados do mundo real e é essencial para monitorar o desempenho dos programas de vacinação ao longo do tempo bem como frente a novas variantes. Até o momento, a avaliação da efetividade das vacinas para COVID-19 tem sido baseada em métodos clássicos como estudos de coorte e caso controle teste-negativo, que muitas vezes podem não permitir o adequado controle dos vieses intrínsecos da alocação das campanhas de vacinação. O objetivo dessa revisão foi discutir os desenhos de estudo disponíveis para avaliação de efetividade das vacinas, enfatizando os estudos quase-experimentais, que buscam mimetizar os estudos aleatorizados ao introduzir um componente exógeno para atribuição ao tratamento, bem como suas vantagens, limitações e aplicabilidade no contexto dos dados brasileiros. O emprego de métodos quase-experimentais, incluindo as séries temporais interrompidas, o método de diferença em diferenças, escore de propensão, variáveis instrumentais e regressão descontínua, são relevantes pela possibilidade de gerar estimativas mais acuradas da efetividade de vacinas para COVID-19 em cenários como o brasileiro, que se caracteriza pelo uso de várias vacinas, com respectivos número e intervalos entre doses, aplicadas em diferentes faixas etárias e em diferentes momentos da pandemia.

Abstract The evaluation of vaccine effectiveness is conducted with real-world data. They are essential to monitor the performance of vaccination programmes over time, and in the context of the emergence of new variants. Until now, the effectiveness of COVID-19 vaccines has been assessed based on classic methods, such as cohort and test-negative case-control studies, which may often not allow for adequate control of inherent biases in the assignment of vaccination campaigns. The aim of this review was to discuss the study designs available to evaluate vaccine effectiveness, highlighting quasi-experimental studies, which seek to mimic randomized trials, by introducing an exogenous component to allocate to treatment, in addition to the advantages, limitations, and applicability in the context of Brazilian data. The use of quasi-experimental approaches, such as interrupted time series, difference-in-differences, propensity scores, instrumental variables, and regression discontinuity design, are relevant due to the possibility of providing more accurate estimates of COVID-19 vaccine effectiveness. This is especially important in scenarios such as the Brazilian, which characterized by the use of various vaccines, with the respective numbers and intervals between doses, applied to different age groups, and introduced at different times during the pandemic.

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

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

Um dos instrumentos mais utilizados na pesquisa epidemiológica sobre discriminação é o Experiences of Discrimination (EOD), utilizada no Brasil, porém não validado. O objetivo foi avaliar a confiabilidade e estrutura dimensional da escala EOD em uma população brasileira. Foi conduzido um estudo transversal com 1.380 adultos da cidade de Salvador, Bahia, Brasil. Realizou-se análise fatorial confirmatória (AFC) testando um modelo de dois fatores: experiência de discriminação e preocupação por discriminação. Os resultados da AFC mostraram parâmetros satisfatórios de ajuste, elevadas cargas fatoriais e valores adequados de confiabilidade, confirmando a consistência interna da escala. Identificaram-se correlações residuais envolvendo itens de ambos os fatores. A estrutura dimensional apresentada neste estudo destaca a importância de utilizar diferentes medidas de discriminação - interpessoais e grupais - que permitam em estudos futuros aprofundar nos efeitos do racismo sobre a saúde

One of the most widely used tools in epidemiological research on discrimination is the Experiences of Discrimination (EOD) scale, used but not validated in Brazil. The objective was to assess the reliability and dimensional structure of the EOD scale in a Brazilian population. A cross-sectional study was performed with 1,380 adults in the city of Salvador, Bahia State, Brazil. Confirmatory factor analysis (CFA) was performed testing a two-factor model: experiences of discrimination and concerned about discrimination. The results of CFA showed satisfactory fit, high factor loads, and adequate reliability, confirming the scale's internal consistency. Residual correlations were identified involving items from both factors. The dimensional structure presented in this study highlights the importance of using different measures of discrimination (interpersonal and group) to allow more in-depth future research on the effects of racism on health

Uno de los instrumentos más utilizados en investigación epidemiológica sobre discriminación es el Experiences of Discrimination (EOD), utilizado en Brasil, aunque aún no fue validado em esta población. El objetivo de este trabajo fue evaluar la validez y estructura dimensional de la EOD en una población brasileña. Se realizó un estudio transversal con 1.380 adultos de la ciudad de Salvador, Bahía, Brasil. Se realizó un análisis factorial confirmatorio (AFC), probando un modelo de dos factores: experiencias de discriminación y preocupación por la discriminación. Los resultados de la AFC mostraron parámetros satisfactorios de ajuste, elevadas cargas factoriales y valores adecuados de confiabilidad, confirmando la consistencia interna de la escala. Se identificaron correlaciones residuales, involucrando ítems de ambos factores. La estructura dimensional presentada en este estudio destaca la importancia de utilizar diferentes medidas de discriminación -interpersonales y grupales-, que permitan en estudios futuros profundizar en los efectos del racismo sobre la salud

Um dos instrumentos mais utilizados na pesquisa epidemiológica sobre discriminação é o Experiences of Discrimination (EOD), utilizada no Brasil, porém não validado. O objetivo foi avaliar a confiabilidade e estrutura dimensional da escala EOD em uma população brasileira. Foi conduzido um estudo transversal com 1.380 adultos da cidade de Salvador, Bahia, Brasil. Realizou-se análise fatorial confirmatória (AFC) testando um modelo de dois fatores: experiência de discriminação e preocupação por discriminação. Os resultados da AFC mostraram parâmetros satisfatórios de ajuste, elevadas cargas fatoriais e valores adequados de confiabilidade, confirmando a consistência interna da escala. Identificaram-se correlações residuais envolvendo itens de ambos os fatores. A estrutura dimensional apresentada neste estudo destaca a importância de utilizar diferentes medidas de discriminação - interpessoais e grupais - que permitam em estudos futuros aprofundar nos efeitos do racismo sobre a saúde

One of the most widely used tools in epidemiological research on discrimination is the Experiences of Discrimination (EOD) scale, used but not validated in Brazil. The objective was to assess the reliability and dimensional structure of the EOD scale in a Brazilian population. A cross-sectional study was performed with 1,380 adults in the city of Salvador, Bahia State, Brazil. Confirmatory factor analysis (CFA) was performed testing a two-factor model: experiences of discrimination and concerned about discrimination. The results of CFA showed satisfactory fit, high factor loads, and adequate reliability, confirming the scale's internal consistency. Residual correlations were identified involving items from both factors. The dimensional structure presented in this study highlights the importance of using different measures of discrimination (interpersonal and group) to allow more in-depth future research on the effects of racism on health

Uno de los instrumentos más utilizados en investigación epidemiológica sobre discriminación es el Experiences of Discrimination (EOD), utilizado en Brasil, aunque aún no fue validado em esta población. El objetivo de este trabajo fue evaluar la validez y estructura dimensional de la EOD en una población brasileña. Se realizó un estudio transversal con 1.380 adultos de la ciudad de Salvador, Bahía, Brasil. Se realizó un análisis factorial confirmatorio (AFC), probando un modelo de dos factores: experiencias de discriminación y preocupación por la discriminación. Los resultados de la AFC mostraron parámetros satisfactorios de ajuste, elevadas cargas factoriales y valores adecuados de confiabilidad, confirmando la consistencia interna de la escala. Se identificaron correlaciones residuales, involucrando ítems de ambos factores. La estructura dimensional presentada en este estudio destaca la importancia de utilizar diferentes medidas de discriminación -interpersonales y grupales-, que permitan en estudios futuros profundizar en los efectos del racismo sobre la salud