Educação Infantil: Um Estudo de Caso Sobre o Ofício Docente

Primary education in Brazil, in its birth in the nineteenth century, was conceived as a female activity. Regarding day care centers and preschools an association was established between the identity of the preschool professional and motherhood. The aim of the research presented here is to analyze how care practices common to dealing with young children, which are associated with a maternal, role affect the work of preschool teachers. The Clinic of Activity was taken as a theoretical framework. A case study was conducted based on data from an intervention in which six female teachers who worked in a preschool center participated. The records produced during the intervention were submitted to contrustritive-interpretative analysis. The results indicated that the preschool female teachers, based on the affective relationship established with the students, seem to regain the authority that deteriorates with the violence that hits the school in other levels of education. As for the maternal reference, it becomes a teacher knowledge built by a daily learning with the children and is incorporated into the professional culture.La educación primaria en Brasil, en su nacimiento en el siglo XIX, fue concebida como una actividad femenina. Con respecto a las guarderías y centros preescolares se estableció una asociación entre la identidad del profesional preescolar y la maternidad. El objetivo de la investigación presentada aquí es analizar cómo las prácticas de cuidado comunes para tratar con niños pequeños, asociadas con un rol materno, afectan el oficio de los maestros de educación infantil. La Clínica de Actividad fue tomada como un marco teórico. Se realizó un estudio de caso basado en datos de una intervención a la que asistieron seis maestros que trabajaban en un Centro de Educación de la Primera Infancia. Los registros producidos durante la intervención fueron sometidos a un análisis constructivo-interpretativa. Los resultados indicaron que los maestros de preescolar, a partir de la relación afectiva establecida con los estudiantes, parecen recuperar la autoridad que se deteriora con la violencia que llega a la escuela en otros niveles de educación. En cuanto a la referencia materna, se convierte en un conocimiento docente construido por un aprendizaje diario con los niños y se incorpora a la cultura profesional.A educação primária no Brasil, em seu nascedouro no século XIX, foi concebida como uma atividade feminina. Em relação às creches e pré-escolas estabeleceu-se uma associação entre a identidade do profissional de Educação Infantil e a maternidade. O objetivo da investigação ora apresentada é analisar como práticas de cuidado comuns à lida com crianças pequenas, associadas a um papel materno, repercutem sobre o ofício de professoras de Educação Infantil. A Clínica da Atividade foi tomada como referencial teórico. Realizou-se um estudo de caso a partir de dados provenientes de uma intervenção da qual participaram seis professoras que atuavam em um Centro de Educação Infantil. Os registros produzidos durante a intervenção foram submetidos à análise contrustritivo-interpretativa. Os resultados indicaram que as docentes de Educação Infantil, a partir da relação afetiva estabelecida com os alunos, parecem recuperar a autoridade que se deteriora com a violência que atinge a escola em outros níveis de ensino. Quanto à referência materna, esta se transforma em saber docente construído por um aprendizado cotidiano junto às crianças e incorpora-se à cultura profissional

Desvendando a resposta autoimune contra o fígado: Hepatite Autoimune

Introduction: Autoimmune hepatitis is characterized as a condition in which the human immune system attacks liver cells, generating major inflammation. Treatment may involve immunosuppressive medications in an attempt to control the immune response. Symptoms may vary from person to person and diagnosis involves, in most cases, blood tests, imaging tests and liver biopsy. Objective: To understand the autoimmune response of the body of patients with autoimmune hepatitis (AIH). Results: In addition to drug therapy, treatment includes some lifestyle adjustments, such as dietary adjustment, monitoring and stress control. In autoimmune hepatitis (AIH), analysis of prognostic factors provides crucial information about disease progression and treatment efficacy. Age at diagnosis emerges as a relevant indicator, suggesting that the onset of AIH at older ages may be associated with a possible faster progression.Introdução: A hepatite autoimune caracteriza-se como uma condição na qual o sistema imunológico humano ataca as células do fígado, gerando uma grande inflamação. O tratamento pode envolver medicamentos imunossupressores na tentativa de controle da resposta imune. Os sintomas podem variar de cada pessoa e o diagnóstico envolve na maioria dos casos testes sanguíneos, exames de imagem e biópsia hepática. Objetivo: Compreender a resposta autoimune do organismo de pacientes com a hepatite autoimune (HAI). Resultados: Além de terapia medicamentosa, o tratamento inclui alguns ajustes no estilo de vida, como adequação na dieta, monitoramento  e controle do estresse. Na hepatite autoimune (HAI), a análise de fatores prognósticos fornece informações cruciais sobre a progressão da doença e a eficácia do tratamento. A idade ao diagnóstico emerge como um indicador relevante, sugerindo que o início da HAI em idades mais avançadas pode estar associado a uma possível progressão mais rápida

High anti-SARS-CoV-2 antibody seroconversion rates before the second wave in Manaus, Brazil, and the protective effect of social behaviour measures: results from the prospective DETECTCoV-19 cohort

Background: The city of Manaus, Brazil, has seen two collapses of the health system due to the COVID-19 pandemic. We report anti-SARS-CoV-2 nucleocapsid IgG antibody seroconversion rates and associated risk factors in Manaus residents before the second wave of the epidemic in Brazil. Methods: A convenience sample of adult (aged ≥18 years) residents of Manaus was recruited through online and university website advertising into the DETECTCoV-19 study cohort. The current analysis of seroconversion included a subgroup of DETECTCoV-19 participants who had at least two serum sample collections separated by at least 4 weeks between Aug 19 and Oct 2, 2020 (visit 1), and Oct 19 and Nov 27, 2020 (visit 2). Those who reported (or had no data on) having a COVID-19 diagnosis before visit 1, and who were positive for anti-SARS-CoV-2 nucleocapsid IgG antibodies at visit 1 were excluded. Using an in-house ELISA, the reactivity index (RI; calculated as the optical density ratio of the sample to the negative control) for serum anti-SARS-CoV-2 nucleocapsid IgG antibodies was measured at both visits. We calculated the incidence of seroconversion (defined as RI values ≤1·5 at visit 1 and ≥1·5 at visit 2, and a ratio >2 between the visit 2 and visit 1 RI values) during the study period, as well as incidence rate ratios (IRRs) through cluster-corrected and adjusted Poisson regression models to analyse associations between seroconversion and variables related to sociodemographic characteristics, health access, comorbidities, COVID-19 exposure, protective behaviours, and symptoms. Findings: 2496 DETECTCoV-19 cohort participants returned for a follow-up visit between Oct 19 and Nov 27, 2020, of whom 204 reported having COVID-19 before the first visit and 24 had no data regarding previous disease status. 559 participants were seropositive for anti-SARS-CoV-2 nucleocapsid IgG antibodies at baseline. Of the remaining 1709 participants who were seronegative at baseline, 71 did not meet the criteria for seroconversion and were excluded from the analyses. Among the remaining 1638 participants who were seronegative at baseline, 214 showed seroconversion at visit 2. The seroconversion incidence was 13·06% (95% CI 11·52–14·79) overall and 6·78% (5·61–8·10) for symptomatic seroconversion, over a median follow-up period of 57 days (IQR 54–61). 48·1% of seroconversion events were estimated to be asymptomatic. The sample had higher proportions of affluent and higher-educated people than those reported for the Manaus city population. In the fully adjusted and corrected model, risk factors for seroconversion before visit 2 were having a COVID-19 case in the household (IRR 1·49 [95% CI 1·21–1·83]), not wearing a mask during contact with a person with COVID-19 (1·25 [1·09–1·45]), relaxation of physical distancing (1·31 [1·05–1·64]), and having flu-like symptoms (1·79 [1·23–2·59]) or a COVID-19 diagnosis (3·57 [2·27–5·63]) between the first and second visits, whereas working remotely was associated with lower incidence (0·74 [0·56–0·97]). Interpretation: An intense infection transmission period preceded the second wave of COVID-19 in Manaus. Several modifiable behaviours increased the risk of seroconversion, including non-compliance with non-pharmaceutical interventions measures such as not wearing a mask during contact, relaxation of protective measures, and non-remote working. Increased testing in high-transmission areas is needed to provide timely information about ongoing transmission and aid appropriate implementation of transmission mitigation measures. Funding: Ministry of Education, Brazil; Fundação de Amparo à Pesquisa do Estado do Amazonas; Pan American Health Organization (PAHO)/WHO.World Health OrganizationRevisión por pare

A PRÁTICA DA EDUCAÇÃO EM SAÚDE NA ESTRATÉGIA SAÚDE DA FAMÍLIA.

Objective: To discuss the practice of health education in the family health strategy through the existing literature. Methods: This is a qualitative integrative literature review. The search for works involved in the research was carried out in the following databases: SCIELO, LILACS, BDENF and MEDLINE, using the descriptors in health sciences: "Primary health care", "Health education" and "Public health". The inclusion criteria were: published between 2013 and 2023, with free access to full texts, articles in Portuguese, English and Spanish and related to the theme. Exclusion criteria were: duplicate articles, incomplete articles, abstracts, reviews, debates, articles published in event proceedings and unavailable in full. Results: In the ESF, health education is based on a collective construction based on the work of a multidisciplinary and intersectoral team, which aims for comprehensive and humanized care, seeking to empower the patient to autonomy in care and in prevention and health promotion practices. Conclusion: It can be concluded that primary care is the population's main point of access to health education activities under the SUS, and it is therefore important to emphasize that these activities are aimed at promoting and preventing the population's health.Objetivo: Discutir por meio da literatura existente acerca da prática da educação em saúde na estratégia saúde da família. Métodos: Trata-se de uma revisão integrativa da literatura de caráter qualitativo. A busca dos trabalhos envolvidos na pesquisa foi realizada nas seguintes bases de dados: SCIELO, LILACS, BDENF e MEDLINE, a partir dos descritores em ciências da saúde: “Atenção primária á saúde”, “Educação em saúde” e “Saúde pública”. Os critérios de inclusão foram: publicados no período entre 2013 e 2023, cujo acesso ao periódico era livre aos textos completos, artigos em idioma português, inglês e espanhol e relacionados a temática. Critérios de exclusão foram: artigos duplicados, incompletos, resumos, resenhas, debates, artigos publicados em anais de eventos e indisponíveis na íntegra. Resultados: Na ESF a educação em saúde se baseia numa construção coletiva com embasamento no trabalho de uma equipe multidisciplinar e intersetorial, que visa um atendimento integral e humanizado, buscando-se empoderar o paciente a autonomia do cuidado e nas práticas de prevenção e promoção da saúde. Conclusão: Conclui-se que a atenção primária é o principal ponto de acesso da população as atividades de educação em saúde pelo SUS, diante disso é importante destacar que essas atividades visam a promoção e prevenção da saúde da população

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

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