The influence of mode of delivery on neonatal and maternal short and longterm outcomes

OBJECTIVE: To evaluate the impact of mode of delivery on breastfeeding incentive practices and on neonatal and maternal short and long-term complications. METHODS: A cohort study was conducted between June 2015 and April 2016 with 768 puerperal women from 11 maternities in Sergipe, interviewed in the first 24 hours, 45–60 days and 6–8 months after delivery. Associations between breastfeeding incentive practices, neonatal and maternal, both short-term and late complications, and the exposure variables were evaluated by the relative risk (95%CI) and the Fisher exact test. RESULTS: The C-section newborns had less skin-to-skin contact immediately after delivery (intrapartum C-section: 0.18, 95%CI 0.1–0.31 and elective C-section: 0.36, 95%CI 0.27–0.47) and less breastfeeding within one hour of birth (intrapartum C-section: 0.43, 95%CI 0.29–0.63 and elective C-section: 0.44, 95%CI 0.33–0.59). Newborns from elective C-section were less frequently breastfed in the delivery room 0.42 (95%CI 0.2–0.88) and roomed-in less 0.85 (95%CI 0.77–0.95). Women submitted to intrapartum C-section had greater risk of early complications 1.3 (95%CI 1.04–1.64, p = 0.037) and sexual dysfunction 1.68 (95%CI 1.14–2.48, p = 0.027). The frequency of neonatal complications, urinary incontinence and depression according to the mode of delivery was similar. CONCLUSIONS: The C-section was negatively associated with breastfeeding incentive practices; in addition, C-section after labor increased the risk of early maternal complications and sexual dysfunction

Características maternas e da assistência pré-natal associadas à peregrinação no anteparto

OBJETIVO: Analisar as características maternas e da assistência pré-natal associadas à peregrinação no anteparto entre gestantes de um estado do Nordeste brasileiro. MÉTODOS: Estudo quantitativo e transversal, com abordagens descritiva e analítica, vinculado à pesquisa Nascer em Sergipe, realizada entre junho de 2015 e abril de 2016. Foram avaliadas 768 puérperas proporcionalmente distribuídas entre todas as maternidades do estado (n = 11). Os dados foram coletados por meio de entrevistas e consultas aos cartões de pré-natal. As associações entre a peregrinação no anteparto e as variáveis de exposição foram descritas em frequências absoluta e relativa, razões de chances brutas e ajustadas e seus respectivos intervalos de confiança. RESULTADOS: A peregrinação no anteparto foi referida por 29,4% (n = 226) das entrevistadas, a maioria das quais procurou atendimento em apenas um serviço antes do atual (87,6%; n = 198). Ressalta-se que a peregrinação no anteparto foi menos frequente entre as mulheres com idade ≥ 20 anos (OR = 0,50; IC95% 0,34–0,71), com alta escolaridade (OR = 0,42; IC95% 0,31–0,59), com trabalho remunerado (OR ajustada = 0,59; IC95% 0,41–0,82), orientadas durante o pré-natal sobre a maternidade de referência para o parto (OR ajustada = 0,88; IC95% 0,42–0,92) e que utilizaram o serviço privado para realização do pré-natal (OR ajustada = 0,44; IC95% 0,18–0,86) ou do parto (OR ajustada = 0,96; IC95% 0,66–0,98). Não foi observada evidência estatística de associação entre as características gestacionais e a ocorrência da peregrinação. CONCLUSÕES: A peregrinação no anteparto sofre interferência das características socioeconômicas maternas, da assistência pré-natal e do tipo de financiamento para o parto.OBJECTIVE: To analyze the maternal characteristics and type of prenatal care associated with peregrination before childbirth among pregnant women in a northeastern Brazilian state. METHODS: Quantitative and transversal study, with descriptive and analytical approaches, part of the Nascer em Sergipe research held between June 2015 and April 2016. A total of 768 puerperal women proportionally distributed across all maternities of the state (n = 11) were evaluated. Data were collected in interviews and from prenatal records. The associations between antepartum peregrination and the exposure variables were described in absolute and relative frequencies, crude and adjusted odds ratios and their respective confidence intervals. RESULTS: Antepartum peregrination was reported by 29.4% (n = 226) of the interviewees, most of whom sought care in a single service before the current one (87.6%; n = 198). It should be noted that antepartum peregrination was less frequent among women aged ≥ 20 years old (OR = 0.50; 95%CI 0.34–0.71), with high education level (OR = 0.42; 95%CI 0.31–0.59) and a paid job (adjusted OR = 0.59; 95%CI 0.41–0.82), who had been instructed during prenatal care about the referral maternity for childbirth (adjusted OR = 0.88; 95%CI 0.42–0.92), and who used the private service to receive prenatal (adjusted OR = 0.44; 95%CI 0.18–0.86) or childbirth (adjusted OR = 0.96; 95%CI 0.66–0.98) care. No statistical evidence of associations between gestational characteristics and the occurrence of peregrination was observed. CONCLUSIONS: Antepartum peregrination suffers interference from the mother’s socioeconomic characteristics, the type of prenatal care received and the source of funding for childbirth

Mais além de uma história: a narrativa como possibilidade de autoformação

O termo narrativa tem sido usado para designar o relato de histórias que, em sua maioria, nascem do cotidiano. Neste artigo, entretanto, o conceito de narrativa é expandido, buscando-se relacioná-la às pesquisas em educação. O estudo procura mostrar como usar metodologicamente a narrativa, apresentando o percurso de construção de narrativas de três pesquisadoras - uma professora, uma narradora e uma formadora, que atuam em diferentes contextos educacionais e dialogam com diferentes autores. O presente artigo reflete sobre a potência dessas produções nos processos de autoformação e formação de profissionais da educação, tomando a narrativa como um dispositivo que pode auxiliar o narrador a interpretar, analisar e organizar acontecimentos ocorridos em situações diversificadas, em cenários socialmente contextualizados e em tempos e espaços diferentes - portanto, passíveis de investigação nas pesquisas em educação. Palavras-chave: Análise Narrativa. Educação. Narrativa. Pesquisa narrativa

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Educomunicação e suas áreas de intervenção: Novos paradigmas para o diálogo intercultural

oai:omp.abpeducom.org.br:publicationFormat/1O material aqui divulgado representa, em essência, a contribuição do VII Encontro Brasileiro de Educomunicação ao V Global MIL Week, da UNESCO, ocorrido na ECA/USP, entre 3 e 5 de novembro de 2016. Estamos diante de um conjunto de 104 papers executivos, com uma média de entre 7 e 10 páginas, cada um. Com este rico e abundante material, chegamos ao sétimo e-book publicado pela ABPEducom, em seus seis primeiros anos de existência. A especificidade desta obra é a de trazer as “Áreas de Intervenção” do campo da Educomunicação, colocando-as a serviço de uma meta essencial ao agir educomunicativo: o diálogo intercultural, trabalhado na linha do tema geral do evento internacional: Media and Information Literacy: New Paradigms for Intercultural Dialogue

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost