Objectives: To review the scientific literature of studies on dental age estimation methods applied to Brazilian children. Methods: A systematic literature review was designed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and registered in PROSPERO (CRD42020136170). Six scientific databases were used as primary search sources (PubMed, Scopus, LILACS, SciELO, Embase and Web of Science) and two databases (Open Grey and Open Thesis) were searched to partially select the “grey literature.” Only cross-sectional studies were included. The risk of bias was assessed by means of Joanna Briggs Institute Critical Appraisal Tools for Systematic Reviews. The standardized mean difference (SMD) between the estimated dental and chronological ages was meta-analysed via random effects model. Results: The search resulted in 2,527 studies, from which 13 met the eligibility criteria. Out of the eligible studies, 76.92% had low risk of bias and high methodological quality. Ten studies provided proper information to be included in the meta-analysis.The methods and their SMD between estimated and chronological ages were: Willems’=0.05, Lilequist and Lundberg’s = −0.11, Nolla’s = 0.22, Mornstad’s = 0.27, Cameriere’s = −0.31, Demirjian’s = 0.74 and Haavikko’s = −0.87. Conclusion: Although originally trained in populations worldwide, most of the international methods for radiographical dental age estimation had optimal performance in Brazilian children.

Background: Contraception is a key component of sustainable development, empowering women, reducing the risk of maternal and child mortality and promoting economic growth. It is part of the Sustainable Development Goals agenda, where the aim is to achieve universal access to sexual and reproductive health. Our objective was to evaluate trends and inequalities in modern contraceptive prevalence, and according to the type of modern contraceptive, in 11 low- and middle-income countries that are partners of the Family Planning 2020 initiative. Methods: Analyses were performed using 62 Performance Monitoring and Accountability 2020 (PMA2020) surveys from 11 countries. Forty surveys were nationally representative, while 22 had regional coverage. Regional surveys were analyzed separately, totalizing 15 geographies from 11 countries. We described trends on modern contraceptive prevalence, and its subtypes (short- and long-acting reversible contraceptives, and permanent methods), by calculating absolute average annual changes. Absolute inequalities on the prevalence of modern contraceptives were assessed for the most recent survey of each geography using the slope index of inequality, and according to wealth, education and age. Results: The overall prevalence of modern contraception increased in most geographies analyzed, reaching a 7.2 percentage points increase per year in Lagos, Nigeria. This increase was mostly influenced by the long-acting reversible contraceptives, which increased in 73% of the geographies. Although the largest share of modern contraception is represented by short-acting reversible contraceptives, these are reducing and giving space for the long-acting methods. The exception was Rajasthan, India, where the permanent methods accounted for 70% of the modern contraception share, and their prevalence was almost 40%. Inequalities were identified in favor of richer, older and better educated women. Conclusions: Out of the 15 geographies analyzed, 11 demonstrated an increase in overall modern contraceptive use – mainly driven by the uptake of long-acting reversible contraception. However, even in the groups with the highest prevalence, modern contraceptive use was at most 60% in most geographies. So, we are far from reaching the desired universal coverage proposed by the Sustainable Development Goals.

The UN Sustainable Development Goals (SDGs) call for stratification of social indicators by ethnic groups; however, no recent multicountry analyses on ethnicity and child survival have been done in low-income and middle-income countries (LMICs). We used data from Demographic and Health Surveys and Multiple Indicator Cluster Surveys collected between 2010 and 2016, from LMICs that provided birth histories and information on ethnicity or a proxy variable. We calculated neonatal (age 0-27 days), post-neonatal (age 28-364 days), child (age 1-4 years), and under-5 mortality rates (U5MRs) for each ethnic group within each country. We assessed differences in mortality between ethnic groups using a likelihood ratio test, Theil's index, and between-group variance. We used multivariable analyses of U5MR by ethnicity to adjust for household wealth, maternal education, and urban-rural residence. We included data from 36 LMICs, which included 2 812 381 livebirths among 415 ethnic groups. In 25 countries, significant differences in U5MR by ethnic group were identified (all p<0·05 likelihood ratio test). In these countries, the median mortality ratio between the ethnic groups with the highest and lowest U5MRs was 3·3 (IQR 2·1-5·2; range 1·5-8·5), whereas among the remaining 11 countries, the median U5MR ratio was 1·9 (IQR 1·7-2·5; range 1·4-10·0). Ethnic gaps were wider for child mortality than for neonatal or post-neonatal mortality. In nearly all countries, adjustment for wealth, education, and place of residence did not affect ethnic gaps in mortality, with the exception of Guatemala, India, Laos, and Nigeria. The largest ethnic group did not have the lowest U5MR in any of the countries studied. Significant ethnic disparities in child survival were identified in more than two-thirds of the countries studied. Regular analyses of ethnic disparities are essential for monitoring trends, targeting, and assessing the impact of health interventions. Such analyses will contribute to the effort towards leaving no one behind, which is at the centre of the SDGs. Bill & Melinda Gates Foundation, UNICEF, Wellcome Trust, Associação Brasileira de Saúde Coletiva.

Resumo: O objetivo deste artigo foi avaliar os fatores socioeconômicos, familiares e individuais associados ao desenvolvimento infantil no primeiro ano de vida, entre famílias em vulnerabilidade social. Trata-se de uma análise transversal, com dados da linha de base de um ensaio randomizado. O estudo incluiu 3.242 crianças < 12 meses de idade, residentes em 30 municípios de cinco regiões do Brasil. A escolha de estados e municípios foi intencional, tendo como base a implementação do Programa Criança Feliz. A amostra foi selecionada a partir de crianças elegíveis para o Programa Criança Feliz, cujo objetivo é promover a estimulação e o desenvolvimento infantil. O Ages and Stages Questionnaire (ASQ) foi utilizado para avaliação do desenvolvimento infantil. Um modelo de análise multinível em três níveis (estado, município e indivíduos), usando teste de Wald para heterogeneidade e tendência linear, estimou a média do ASQ-3 e intervalo de 95% de confiança (IC95%). Análises foram ajustadas para potenciais confundidores. Foram analisadas informações de 3.061 (94,4%) crianças com dados disponíveis para ASQ-3. Escores de desenvolvimento infantil (total e em todos os domínios) foram cerca de 12% menores em crianças nascidas pré-termo e com restrição do crescimento intrauterino (pequenas para idade gestacional). Observou-se menores escores em filhos de mães com baixa escolaridade, com sintomas de depressão, com duas ou mais crianças menores de sete anos residindo no domicílio e que não relataram autopercepção de apoio/ajuda durante a gestação. Conclui-se que características potencialmente modificáveis (escolaridade, depressão materna e prematuridade/restrição do crescimento intrauterino) apresentaram maior impacto na redução do escore de desenvolvimento em todos os domínios avaliados.

Summary: This paper describes the use of Research Electronic Data Capture (REDCap) to conduct one of the follow-up waves of the 2004 Pelotas birth cohort. The aim is to point out the advantages and limitations of using this electronic data capture environment to collect data and control every step of a longitudinal epidemiological research, specially in terms of time savings and data quality.We used REDCap as the main tool to support the conduction of a birth cohort follow-up. By exploiting several REDCap features, we managed to schedule assessments, collect data, and control the study workflow. To enhance data quality, we developed specific reports and field validations to depict inconsistencies in real time.Using REDCap it was possible to investigate more variables without significant increases on the data collection time, when comparing to a previous birth cohort follow-up. In addition, better data quality was achieved since negligible out of range errors and no validation or missing inconsistencies were identified after applying over 7,000 interviews.Adopting electronic data capture solutions, such as REDCap, in epidemiological research can bring several advantages over traditional paper-based data collection methods. In favor of improving their features, more research groups should migrate from paper to electronic-based epidemiological research.Citation: Blumenberg C, Barros AJD. Electronic data collection in epidemiological research: The use of REDCap in the Pelotas birth cohorts