Abstract The aim of this study was to evaluate the genetic variability and performance of the agronomic traits of wheat cultivars in the southern region of Minas Gerais for the purpose of choosing parents for a rainfed wheat breeding program. We evaluated 78 wheat cultivars in two locations in Minas Gerais regarding different agronomic traits. The statistical analyses were carried out using Henderson’s mixed-model approach. The genetic values of the cultivars were predicted, and the heritabilities and accuracies were estimated for selection of cultivars. The cultivar × location interaction was decomposed into its simple and complex fractions. The genetic and environmental correlations between the traits were estimated, and selection was made for multiple traits using the sum of the standardized variables (Z-index). The genetic variance was significant for all the traits, and the cultivar × location interaction was significant. By the Z-index, 15 wheat cultivars more adapted were identified.

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.

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.

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.

Resumo Objetivos: analisar uma década do comportamento espaço-temporal da coqueluche no Brasil e as suas características epidemiológicas. Métodos: estudo ecológico de série temporal dos casos e óbitos por coqueluche do Sistema de Informação de Agravos de Notificação no Brasil (2010-2019). Utilizou-se o método de análise linear generalizada de Prais-Winsten e a análise de Kernel. Resultados: notificaram-se 32.849 casos, desses 466 (1,42%) evoluíram para óbito, com prevalência de 1,63/100.000 habitantes e coeficiente de mortalidade de 0,023/100.000 habitantes. Na análise temporal, evidenciou-se o comportamento cíclico da coqueluche com variações de tendência no período em 2014. A maioria dos casos ocorreu em menores de 1 ano (60,16%, p<0,01), sexo feminino (55,28%, p=0,066) e brancos (48,42%, p=0,14). A maior parcela dos óbitos foi em crianças <1 ano (98,07, p<0,01), sexo feminino (56,01%, p=0,066) e brancos (43,78%, p=0,14). No Kernel da prevalência, destacaram-se as regiões Sul, Sudeste e Nordeste com alta densidade; enquanto para mortalidade, sobressaíram-se Sudeste e Nordeste. Conclusão: observou-se o comportamento cíclico da coqueluche, com tendência de decréscimo nos últimos anos e a concentração de casos no público infantil. O que reforça a importância de fortalecer o processo de imunização da população.

Abstract Objectives: to analyze a decade of spatio-temporal behavior of pertussis in Brazil and its epidemiological characteristics. Methods: ecological time series study of pertussis cases and deaths from the Notifable Diseases Information System in Brazil (2010-2019). The method of generalized linear analysis of Prais-Winsten and the Kernel analysis were used. Results: 32,849 cases were reported, of which 466 (1.42%) evolved to death, with a prevalence of 1.63/100,000 inhabitants and a mortality rate of 0.023/100,000 inhabitants. In the temporal analysis, the cyclical behavior of pertussis was evidenced, with trend variations in the period in 2014. Most cases occurred in children under 1 year of age (60.16%, p<0.01), sex female (55.28%, p=0.066) and white (48.42%, p=0.14). The largest share of deaths was in children aged <1 year (98.07, p<0.01), females (56.01%, p=0.066) and whites (43.78%, p=0.14). In the Kernel of prevalence, the South, Southeast and Northeast regions stood out with high density; while for mortality, the Southeast and Northeast stood out. Conclusions: the cyclical behavior of pertussis was observed, with a decreasing trend in recent years and the concentration of cases in children. This reinforces the importance of strengthening the population’s immunization process.

ABSTRACT OBJECTIVE To evaluate the performance of tuberculosis control in Brazilian municipalities. METHODS This is an ecological study on Brazilian municipalities that notified at least four new cases of tuberculosis, with a minimum of one new case of pulmonary tuberculosis between 2015 and 2018. The municipalities were stratified according to the population in < 50 thousand, 50–100 thousand, 100–300 thousand, and > 300 thousand inhabitants, and the k-means method was used to group them within each population range according to the performance of six indicators of the disease. RESULTS A total of 2,845 Brazilian municipalities were included, comprising 98.5% (208,007/211,174) of new tuberculosis cases in the period. For each population range, three groups (A, B, and C) of municipalities were identified according to the performance of the indicators: A, the most satisfactory; B, the intermediates; and C, the least satisfactory. Municipalities in group A with < 100 thousand inhabitants presented results above the targets for laboratory confirmation (≥ 72%), abandonment (≤ 5%), and cure (≥ 90%), and comprised 2% of new cases of the disease. Conversely, municipalities of groups B and C presented at least five indicators with results below the targets – HIV testing (< 100%), contact investigation (< 90%), directly observed therapy (< 90%), abandonment (> 5%), and cure (< 90%) –, and corresponded to 66.7% of new cases of tuberculosis. In group C of municipalities with > 300 thousand inhabitants, which included 19 of the 27 capitals and 43.1% of new cases of tuberculosis, the lowest percentages of contact investigation (mean = 56.4%) and directly observed therapy (mean = 15.4%) were verified, in addition to high abandonment (mean = 13.9%) and low coverage of primary health care (mean = 66.0%). CONCLUSIONS Most new cases of tuberculosis occurred in municipalities with unsatisfactory performance for disease control. Expanding the coverage of primary health care in these places can reduce abandonment and increase the contact investigation and directly observed therapy.

RESUMO OBJETIVO Avaliar o desempenho no controle da tuberculose dos municípios brasileiros. MÉTODOS Estudo ecológico com municípios brasileiros que notificaram pelo menos quatro casos novos de tuberculose, com no mínimo um caso novo de tuberculose pulmonar entre 2015 e 2018. Os municípios foram estratificados de acordo com a população em < 50 mil, 50–100 mil, 100–300 mil e > 300 mil habitantes e foi utilizado o método k-médias para agrupá-los dentro de cada faixa populacional segundo desempenho de seis indicadores da doença. RESULTADOS Foram incluídos 2.845 municípios brasileiros abrangendo 98,5% (208.007/211.174) dos casos novos de tuberculose do período. Para cada faixa populacional identificou-se três grupos (A, B e C) de municípios segundo desempenho dos indicadores: A os mais satisfatórios, B os intermediários e C os menos satisfatórios. Municípios do grupo A com < 100 mil habitantes apresentaram resultados acima das metas para confirmação laboratorial (≥ 72%), abandono (≤ 5%) e cura (≥ 90%), e abrangeram 2% dos casos novos da doença. Por outro lado, os municípios dos grupos B e C apresentaram pelo menos cinco indicadores com resultados abaixo das metas – testagem HIV (< 100%), exame de contatos (< 90%), tratamento diretamente observado (< 90%), abandono (> 5%) e cura (< 90%) –, e corresponderam a 66,7% dos casos novos de tuberculose. Já no grupo C dos municípios com > 300 mil habitantes, que incluiu 19 das 27 capitais e 43,1% dos casos novos de tuberculose, encontrou-se os menores percentuais de exames de contatos (média = 56,4%) e tratamento diretamente observado (média = 15,4%), elevado abandono (média = 13,9%) e baixa cobertura da atenção básica (média = 66,0%). CONCLUSÕES Grande parte dos casos novos de tuberculose ocorreu em municípios com desempenho insatisfatório para o controle da doença, onde expandir a cobertura da atenção básica pode reduzir o abandono e elevar o exame de contatos e tratamento diretamente observado.

RESUMO OBJETIVO Avaliar o desempenho no controle da tuberculose dos municípios brasileiros. MÉTODOS Estudo ecológico com municípios brasileiros que notificaram pelo menos quatro casos novos de tuberculose, com no mínimo um caso novo de tuberculose pulmonar entre 2015 e 2018. Os municípios foram estratificados de acordo com a população em < 50 mil, 50–100 mil, 100–300 mil e > 300 mil habitantes e foi utilizado o método k-médias para agrupá-los dentro de cada faixa populacional segundo desempenho de seis indicadores da doença. RESULTADOS Foram incluídos 2.845 municípios brasileiros abrangendo 98,5% (208.007/211.174) dos casos novos de tuberculose do período. Para cada faixa populacional identificou-se três grupos (A, B e C) de municípios segundo desempenho dos indicadores: A os mais satisfatórios, B os intermediários e C os menos satisfatórios. Municípios do grupo A com < 100 mil habitantes apresentaram resultados acima das metas para confirmação laboratorial (≥ 72%), abandono (≤ 5%) e cura (≥ 90%), e abrangeram 2% dos casos novos da doença. Por outro lado, os municípios dos grupos B e C apresentaram pelo menos cinco indicadores com resultados abaixo das metas – testagem HIV (< 100%), exame de contatos (< 90%), tratamento diretamente observado (< 90%), abandono (> 5%) e cura (< 90%) –, e corresponderam a 66,7% dos casos novos de tuberculose. Já no grupo C dos municípios com > 300 mil habitantes, que incluiu 19 das 27 capitais e 43,1% dos casos novos de tuberculose, encontrou-se os menores percentuais de exames de contatos (média = 56,4%) e tratamento diretamente observado (média = 15,4%), elevado abandono (média = 13,9%) e baixa cobertura da atenção básica (média = 66,0%). CONCLUSÕES Grande parte dos casos novos de tuberculose ocorreu em municípios com desempenho insatisfatório para o controle da doença, onde expandir a cobertura da atenção básica pode reduzir o abandono e elevar o exame de contatos e tratamento diretamente observado.

ABSTRACT OBJECTIVE To evaluate the performance of tuberculosis control in Brazilian municipalities. METHODS This is an ecological study on Brazilian municipalities that notified at least four new cases of tuberculosis, with a minimum of one new case of pulmonary tuberculosis between 2015 and 2018. The municipalities were stratified according to the population in < 50 thousand, 50–100 thousand, 100–300 thousand, and > 300 thousand inhabitants, and the k-means method was used to group them within each population range according to the performance of six indicators of the disease. RESULTS A total of 2,845 Brazilian municipalities were included, comprising 98.5% (208,007/211,174) of new tuberculosis cases in the period. For each population range, three groups (A, B, and C) of municipalities were identified according to the performance of the indicators: A, the most satisfactory; B, the intermediates; and C, the least satisfactory. Municipalities in group A with < 100 thousand inhabitants presented results above the targets for laboratory confirmation (≥ 72%), abandonment (≤ 5%), and cure (≥ 90%), and comprised 2% of new cases of the disease. Conversely, municipalities of groups B and C presented at least five indicators with results below the targets – HIV testing (< 100%), contact investigation (< 90%), directly observed therapy (< 90%), abandonment (> 5%), and cure (< 90%) –, and corresponded to 66.7% of new cases of tuberculosis. In group C of municipalities with > 300 thousand inhabitants, which included 19 of the 27 capitals and 43.1% of new cases of tuberculosis, the lowest percentages of contact investigation (mean = 56.4%) and directly observed therapy (mean = 15.4%) were verified, in addition to high abandonment (mean = 13.9%) and low coverage of primary health care (mean = 66.0%). CONCLUSIONS Most new cases of tuberculosis occurred in municipalities with unsatisfactory performance for disease control. Expanding the coverage of primary health care in these places can reduce abandonment and increase the contact investigation and directly observed therapy.

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.

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.

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.

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.

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 The objective of this mini review was to discuss the relationship between nutritional deficiencies and mental health, and to present a structure that helps to visualize these associations based on a literature review and the scenarios of the COVID-19 pandemic. The study was conducted to demonstrate the effect of the nutritional deficiencies on the occurrence and/or worsening of mental health problems, mainly related to the most drastic measures of social distance during the COVID-19 pandemic. Studies have already shown that a nutritionally unbalanced diet may be associated with greater chances of mental health problems. Insufficient levels of micronutrients can, by regulating the stress response, immune and oxidative systems, negatively affect brain functions and, consequently, cognitive functions and mental health of individuals. The current pandemic of COVID-19 reveals an increase in food and nutritional insecurity, and a worsening of this situation among already vulnerable populations. Micronutrient deficiencies may be exacerbated in a context of increased food insecurity and the COVID-19 pandemic, which may contribute to increased mental health problems.

RESUMEN El objetivo de esta revisión fue discutir la relación entre las deficiencias nutricionales y la salud mental, y presentar una estructura que ayude a visualizar estas asociaciones con base en la revisión de la literatura y en los escenarios de la pandemia de COVID-19. El estudio se realizó para demostrar el efecto de las deficiencias nutricionales sobre la ocurrencia y/o agravamiento de problemas de salud mental, principalmente relacionados con las medidas más drásticas de distanciamiento social durante la pandemia COVID-19. Los estudios ya han demostrado que una dieta nutricionalmente desequilibrada puede estar asociada con mayores posibilidades de problemas de salud mental. Los niveles insuficientes de micronutrientes pueden, al regular la respuesta al estrés, los sistemas inmunológico y oxidativo, afectar negativamente las funciones cerebrales y, en consecuencia, las funciones cognitivas y la salud mental de las personas. La actual pandemia de COVID-19 revela un aumento de la inseguridad alimentaria y nutricional, y un agravamiento de esta situación entre poblaciones ya vulnerables. Las deficiencias de micronutrientes pueden agravarse en un contexto de mayor inseguridad alimentaria y la pandemia de COVID-19, lo que puede contribuir a un aumento de los problemas de salud mental.

Resumo Objetivo Identificar determinantes socioeconômicos e de atenção à saúde na variação espacial da gravidez na adolescência, Brasil, 2014. Métodos Estudo ecológico espacial com municípios como unidades de análise. Utilizou-se regressão linear espacial para verificar associações entre taxa de fecundidade em adolescentes de 15 a 19 anos e variáveis socioeconômicas e de saúde. Resultados A fecundidade na adolescência associou-se negativamente a maior cobertura da Estratégia Saúde da Família (β = -0,011 – IC95% -0,017;-0,005), número adequado de consultas de pré-natal (β = -0,122 – IC95% -0,224;-0,132) e menor renda familiar média per capita (β = -0,104 – IC95% -0,105;-0,103); e positivamente, ao índice de Gini (β = 7,031 – IC95% 4,793;9,269), baixa renda (β = 0,127 – IC95% 0,108;0,145), maior densidade domiciliar (β = 6,292 – IC95% 5,062;7,522) e baixa escolaridade (β = 0,260 – IC95% 0,224;0,295). Conclusão Menores acesso a atenção básica e renda associam-se a maior taxa de fecundidade na adolescência. Piores indicadores socioeconômicos e de atenção à saúde associam-se a maior taxa de fecundidade na adolescência.

Abstract Objective To identify socioeconomic and health care determinants of spatial variation in adolescent pregnancy in Brazil in 2014. Methods This was a spatial ecological study having municipalities as units of analysis. Spatial linear regression was used to verify association between the fertility rate in 15-19 year-old women and socioeconomic and health variables. Results The adolescent fertility rate was negatively associated with higher Family Health Strategy coverage (β = -0.011 – 95%CI -0.017;-0.005), an adequate number of prenatal consultations (β = -0.122 – 95%CI -0.132;-0.224) and low average family income per capita (β = -0.104 – 95%CI -0.105;-0.103). Association was positive in relation to the Gini index (β = 7.031 – 95%CI 4.793;9.269), low income (β = 0.127 – 95%CI 0.108;0.145), higher household density (β = 6.292 – 95%CI 5.062;7.522) and less schooling (β = 0.260 – 95%CI 0.224;0.295). Conclusion Reduced access to primary care and lower income are associated with higher adolescent fertility rates. Poorer socioeconomic and health care indicators are associated with higher adolescent fertility rates.

Resumen Objetivo Identificar determinantes socioeconómicos y de atención a la salud en la variación espacial del embarazo adolescente en Brasil en 2014. Métodos Estudio espacial ecológico con municipios como unidades de análisis. La regresión lineal espacial se utilizó para verificar la asociación entre la tasa de fecundidad adolescente (15-19 años) y variables socioeconómicas y de salud. Resultados La tasa de fecundidad adolescente se asoció negativamente con mayor cobertura de la Estrategia de Salud Familiar (β = -0,011 – IC95% -0,017;-0,005), número adecuado de consultas prenatales (β = -0.122 – IC95% -0,132;-0,224) e bajo ingreso familiar promedio per cápita (β = -0,104 – IC95% -0,105;-0,103). Esta asociación fue positiva con el índice de Gini (β = 7,031 – IC95% 4,793; 9,269), bajos ingresos (β = 0,127 – IC95% 0,108; 0,145), mayor densidad familiar (β = 6,292 – IC95% 5,062; 7,522) y baja escolaridad (β = 0,260 – IC95% 0,224; 0,295). Conclusión El menor acceso a la atención primaria y menores ingresos están asociados con una mayor fecundidad en la adolescencia. Los peores indicadores socioeconómicos y de atención a la salud se asocian con una mayor tasa de fecundidad en la adolescencia.

Resumo Objetivo Identificar determinantes socioeconômicos e de atenção à saúde na variação espacial da gravidez na adolescência, Brasil, 2014. Métodos Estudo ecológico espacial com municípios como unidades de análise. Utilizou-se regressão linear espacial para verificar associações entre taxa de fecundidade em adolescentes de 15 a 19 anos e variáveis socioeconômicas e de saúde. Resultados A fecundidade na adolescência associou-se negativamente a maior cobertura da Estratégia Saúde da Família (β = -0,011 – IC95% -0,017;-0,005), número adequado de consultas de pré-natal (β = -0,122 – IC95% -0,224;-0,132) e menor renda familiar média per capita (β = -0,104 – IC95% -0,105;-0,103); e positivamente, ao índice de Gini (β = 7,031 – IC95% 4,793;9,269), baixa renda (β = 0,127 – IC95% 0,108;0,145), maior densidade domiciliar (β = 6,292 – IC95% 5,062;7,522) e baixa escolaridade (β = 0,260 – IC95% 0,224;0,295). Conclusão Menores acesso a atenção básica e renda associam-se a maior taxa de fecundidade na adolescência. Piores indicadores socioeconômicos e de atenção à saúde associam-se a maior taxa de fecundidade na adolescência.

Abstract Objective To identify socioeconomic and health care determinants of spatial variation in adolescent pregnancy in Brazil in 2014. Methods This was a spatial ecological study having municipalities as units of analysis. Spatial linear regression was used to verify association between the fertility rate in 15-19 year-old women and socioeconomic and health variables. Results The adolescent fertility rate was negatively associated with higher Family Health Strategy coverage (β = -0.011 – 95%CI -0.017;-0.005), an adequate number of prenatal consultations (β = -0.122 – 95%CI -0.132;-0.224) and low average family income per capita (β = -0.104 – 95%CI -0.105;-0.103). Association was positive in relation to the Gini index (β = 7.031 – 95%CI 4.793;9.269), low income (β = 0.127 – 95%CI 0.108;0.145), higher household density (β = 6.292 – 95%CI 5.062;7.522) and less schooling (β = 0.260 – 95%CI 0.224;0.295). Conclusion Reduced access to primary care and lower income are associated with higher adolescent fertility rates. Poorer socioeconomic and health care indicators are associated with higher adolescent fertility rates.

Resumen Objetivo Identificar determinantes socioeconómicos y de atención a la salud en la variación espacial del embarazo adolescente en Brasil en 2014. Métodos Estudio espacial ecológico con municipios como unidades de análisis. La regresión lineal espacial se utilizó para verificar la asociación entre la tasa de fecundidad adolescente (15-19 años) y variables socioeconómicas y de salud. Resultados La tasa de fecundidad adolescente se asoció negativamente con mayor cobertura de la Estrategia de Salud Familiar (β = -0,011 – IC95% -0,017;-0,005), número adecuado de consultas prenatales (β = -0.122 – IC95% -0,132;-0,224) e bajo ingreso familiar promedio per cápita (β = -0,104 – IC95% -0,105;-0,103). Esta asociación fue positiva con el índice de Gini (β = 7,031 – IC95% 4,793; 9,269), bajos ingresos (β = 0,127 – IC95% 0,108; 0,145), mayor densidad familiar (β = 6,292 – IC95% 5,062; 7,522) y baja escolaridad (β = 0,260 – IC95% 0,224; 0,295). Conclusión El menor acceso a la atención primaria y menores ingresos están asociados con una mayor fecundidad en la adolescencia. Los peores indicadores socioeconómicos y de atención a la salud se asocian con una mayor tasa de fecundidad en la adolescencia.

Resumo: O estudo teve com objetivos descrever as tendências na taxa de detecção de casos novos (TDCN) de hanseníase no Brasil em 2006-2017, global e por subgrupos, e analisar a evolução das características clínicas e terapêuticas dos pacientes, com ênfase nos casos diagnosticados com incapacidade física grau 2. Realizamos um estudo descritivo par analisar casos novos de hanseníase registrados no Sistema de Informação de Agravos de Notificação (SINAN), 2006-2017. Calculamos a TDCN de hanseníase por 100.000 habitantes (global e para indivíduos < 15 e ≥ 15 anos de idade) por sexo, idade, raça/etnicidade, área urbana/rural e macrorregião do Brasil e estimamos as tendências com o teste não paramétrico de Mann-Kendall. Analisamos as distribuições de casos de acordo com características clínicas relevantes ao longo do tempo. No Brasil, houve uma queda marcante na TDCN global, de 23,4/100.000 em 2006 para 10,3/100.000 em 2017; entre crianças < 15 anos, de 6,94 para 3,20/100.000. A queda foi consistente em todas a regiões brasileiras e em todas as categorias de raça/etnicidade. Até 2017, 70,2% dos casos eram multibacilares, 30,5% apresentavam incapacidades físicas grau 1 (G1D) ou grau 2 (G2D) ao diagnóstico e 42,8% não foram avaliados ao encerramento do tratamento ou alta; os casos com G2D ao diagnóstico foram detectados majoritariamente nas áreas urbanas (80%), e 5% dos casos faleceram durante o tratamento (devido à hanseníase ou por outras causas). Embora a frequência da TDCN da hanseníase tenha diminuído no Brasil entre 2006 e 2017 em todos os grupos avaliados, o número grande de casos com hanseníase multibacilar, incapacidades físicas ou sem avaliação adequada e entre crianças sugere a necessidade de reforçar o diagnóstico e tratamento oportunos para controlar a hanseníase no Brasil.

Abstract: Our study aims to describe trends in new case detection rate (NCDR) of leprosy in Brazil from 2006 to 2017 overall and in subgroups, and to analyze the evolution of clinical and treatment characteristics of patients, with emphasis on cases diagnosed with grade 2 physical disabilities. We conducted a descriptive study to analyze new cases of leprosy registered in the Brazilian Information System for Notificable Diseases (SINAN), from 2006-2017. We calculated the leprosy NCDR per 100,000 inhabitants (overall and for individuals aged < 15 and ≥ 15 years) by sex, age, race/ethnicity, urban/rural areas, and Brazilian regions, and estimated the trends using the Mann-Kendall non-parametric test. We analyzed the distributions of cases according to relevant clinical characteristics over time. In Brazil, there was a sharp decrease in the overall NCDR from 23.4/100,000 in 2006 to 10.3/100,000 in 2017; among children < 15 years, from 6.94 to 3.20/100,000. The decline was consistent in all Brazilian regions and race/ethnicity categories. By 2017, 70.2% of the cases were multibacillary, 30.5% had grade 1 (G1D) or 2 (G2D) physical disabilities at diagnosis and 42.8% were not evaluated at treatment completion/discharge; cases with G2D at diagnosis were mostly detected in urban areas (80%) and 5% of cases died during the treatment (leprosy or other causes). Although the frequency of leprosy NCDR decreased in Brazil from 2006 to 2017 across all evaluated population groups, the large number of cases with multibacillary leprosy, physical disabilities or without adequate evaluation, and among children suggest the need to reinforce timely diagnosis and treatment to control leprosy in Brazil.

Resumen: Se realizó este trabajo con el fin de describir la tendencia general y en subgrupos de la tasa de detección de nuevos casos de lepra (NCDR por sus siglas en inglés) en Brasil, entre 2006-2017, así como para analizar la evolución de las características clínicas y de tratamiento de los pacientes, con énfasis en los casos diagnosticados con un grado 2 de discapacidad física. Realizamos un estudio descriptivo para analizar los nuevos casos de lepra registrados en el Sistema Brasileño de Información de Enfermedades de Notificación (SINAN), 2006-2017. Calculamos la NCDR de lepra por cada 100.000 habitantes (general e individuos con una edad < 15 y ≥ 15 años) por sexo, edad, raza/etnicidad, áreas urbanas/rurales y regiones brasileñas, y estimamos las tendencias usando el test no paramétrico de Mann-Kendall. Analizamos las distribuciones de casos según las características clínicas relevantes a lo largo del tiempo. En Brasil, hubo una drástica disminución en general de NCDR de los 23,4/100.000 en 2006, a los 10,3/100.000 en 2017; entre niños < 15 años, desde los 6,94 a los 3,20/100.000. El decremento fue consistente en todas las regiones brasileñas y categorías de raza/etnicidad. En 2017, un 70,2% de los casos fueron multibacilares, un 30,5% tenían grado 1 (G1D) o 2 (G2D) discapacidad física en el diagnóstico y un 42,8% no fueron evaluados al completar el tratamiento/ser dados de alta; casos con G2D en el diagnóstico fueron en su mayoría detectados en áreas urbanas (80%) y un 5% de los casos murieron durante el tratamiento (lepra u otras causas). A pesar de la frecuencia de lepra los NCDR decrecieron en Brasil de 2006 a 2017, a través de todos los grupos de población evaluados, el elevado número de casos con lepra multibacilar, discapacidad física o sin una adecuada evaluación, y entre niños sugiere la necesidad de reforzar a tiempo el diagnóstico y tratamiento para controlar la lepra en Brasil.