904 research outputs found

    Adolescent Health Care in a Primary Health Unit in Olinda, Brazil

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    Objective: To characterize adolescent health care in a Family Health Unit in Olinda, Brazil. Material and Methods: The study carried out a census in a primary health unit, and results were obtained through the analysis of medical records from individuals aged 10-19 years.  Data analysis was initially performed by descriptive statistics followed by association analysis using the Chi-square test or Fisher's exact test (p≤0.05). Results: Of all registered adolescents (n=895), 54% were female. However, only 36.9% (n=330) had a care record from 10 to 19 years. Regarding the frequency with which adolescents used the health service, 89.1% performed no more than three visits throughout the entire adolescence period. Almost all care provided to adolescents had curative nature (82.7%) in relation to the preventive nature (17.3%). Conclusion: The results pointed out that adolescents seek the Family Health Unit predominantly in search of curative care and that the number of consultations is reduced and far from recommendations from the Paced and Integrated Programming Guideline of the Ministry of Health, which establishes a minimum of one medical consultation and two nursing consultations per year for adolescents and young people in general

    PREVALÊNCIA E FATORES ASSOCIADOS À AUTOPERCEPÇÃO NEGATIVA EM SAÚDE DE ADOLESCENTES: UM ESTUDO PILOTO

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    O objetivo desse estudo é identificar a prevalência de autopercepção em saúde negativa dos adolescentes de uma escola da cidade de Olinda – PE, assim como apresentar os fatores associados ao nível socioeconômico e aos hábitos comportamentais. Trata-se de um estudo Piloto, do tipo transversal, analítico e de base escolar, realizado em fevereiro de 2016. Foram selecionados para o estudo, adolescentes, devidamente matriculados, com idade entre 12 e 19 anos. Os dados foram coletados por meio do questionário adaptado, traduzido para o português do Brasil “Youth Risk Behavior Survey” versão 2013. A variável dependente para esse estudo foi a autopercepção negativa em saúde, que foi coletada a partir de uma pergunta: “De maneira geral, como você classifica sua saúde?” com opção de resposta tipo Likert com 5 pontos. Os adolescentes que optaram pela resposta “Nada saudável” e “Não muito saudável” foram alocados para o grupo de autopercepção negativa em saúde. No geral, 202 adolescentes fizeram parte da amostra, sendo 61,5% eram do sexo feminino. A prevalência de autopercepção negativa em saúde foi de 27,6% e os fatores associados foram: sexo (p<0,000); sentir-se triste nos últimos 30 dias (p<0,003); pensar em se suicidar (p<0,002) e percepção inadequada do seu peso corporal (p<0,003). Avaliar o estado de saúde e os fatores interligados a uma autopercepção negativa em adolescentes é uma importante ferramenta para diversas tomadas de decisões, especialmente, para intervir a nível da comunidade com o objetivo de contornar os comportamentos de riscos com finalidade de apresentar melhores níveis de saúde para essa população

    Caracterização e relevância da Educação a Distância (EaD) no ensino

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    A Educação a Distância (EaD) é uma modalidade educacional caracterizada pela utilização de recursos tecnológicos na mediação didático-pedagógica dos processos de ensino e aprendizagem, pois as atividades educativas realizadas por estudantes e professores acontecem em lugares e tempos diferentes. O objetivo do estudo foi realizar através de uma revisão literatura, a caracterização e relevância da EaD no ensino. Para tanto, foi realizada uma revisão narrativa utilizando os descritores: educação a distância, tecnologias, cursos, ensino, e aprendizagem nos idiomas português e inglês. As publicações incluídas foram dos anos de 2001 a 2020. Verificou-se que a EaD é uma modalidade promissora e gerou muitos benefícios para o ensino contribuindo na implementação de projetos educacionais e incentivando no desenvolvimento de habilidades dos estudantes (autonomia com os estudos e gerenciamento de tempo para estudar). Porém, alguns desafios precisam ser enfrentados nesta modalidade, sobretudo em relação a utilização correta dos recursos tecnológicos por docentes e estudantes e também o incentivo a promover ambientes de interação nas plataformas EaD para assegurar uma aprendizagem colaborativa e de qualidade

    Pervasive gaps in Amazonian ecological research

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    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

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    Estimating the global conservation status of more than 15,000 Amazonian tree species

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    Estimates of extinction risk for Amazonian plant and animal species are rare and not often incorporated into land-use policy and conservation planning. We overlay spatial distribution models with historical and projected deforestation to show that at least 36% and up to 57% of all Amazonian tree species are likely to qualify as globally threatened under International Union for Conservation of Nature (IUCN) Red List criteria. If confirmed, these results would increase the number of threatened plant species on Earth by 22%. We show that the trends observed in Amazonia apply to trees throughout the tropics, and we predict thatmost of the world’s >40,000 tropical tree species now qualify as globally threatened. A gap analysis suggests that existing Amazonian protected areas and indigenous territories will protect viable populations of most threatened species if these areas suffer no further degradation, highlighting the key roles that protected areas, indigenous peoples, and improved governance can play in preventing large-scale extinctions in the tropics in this century

    Estimating the global conservation status of more than 15,000 Amazonian tree species

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    Geography and ecology shape the phylogenetic composition of Amazonian tree communities

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    Aim: Amazonia hosts more tree species from numerous evolutionary lineages, both young and ancient, than any other biogeographic region. Previous studies have shown that tree lineages colonized multiple edaphic environments and dispersed widely across Amazonia, leading to a hypothesis, which we test, that lineages should not be strongly associated with either geographic regions or edaphic forest types. Location: Amazonia. Taxon: Angiosperms (Magnoliids; Monocots; Eudicots). Methods: Data for the abundance of 5082 tree species in 1989 plots were combined with a mega-phylogeny. We applied evolutionary ordination to assess how phylogenetic composition varies across Amazonia. We used variation partitioning and Moran\u27s eigenvector maps (MEM) to test and quantify the separate and joint contributions of spatial and environmental variables to explain the phylogenetic composition of plots. We tested the indicator value of lineages for geographic regions and edaphic forest types and mapped associations onto the phylogeny. Results: In the terra firme and várzea forest types, the phylogenetic composition varies by geographic region, but the igapó and white-sand forest types retain a unique evolutionary signature regardless of region. Overall, we find that soil chemistry, climate and topography explain 24% of the variation in phylogenetic composition, with 79% of that variation being spatially structured (R2^{2} = 19% overall for combined spatial/environmental effects). The phylogenetic composition also shows substantial spatial patterns not related to the environmental variables we quantified (R2^{2} = 28%). A greater number of lineages were significant indicators of geographic regions than forest types. Main Conclusion: Numerous tree lineages, including some ancient ones (>66 Ma), show strong associations with geographic regions and edaphic forest types of Amazonia. This shows that specialization in specific edaphic environments has played a long-standing role in the evolutionary assembly of Amazonian forests. Furthermore, many lineages, even those that have dispersed across Amazonia, dominate within a specific region, likely because of phylogenetically conserved niches for environmental conditions that are prevalent within regions

    Geography and ecology shape the phylogenetic composition of Amazonian tree communities

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    AimAmazonia hosts more tree species from numerous evolutionary lineages, both young and ancient, than any other biogeographic region. Previous studies have shown that tree lineages colonized multiple edaphic environments and dispersed widely across Amazonia, leading to a hypothesis, which we test, that lineages should not be strongly associated with either geographic regions or edaphic forest types.LocationAmazonia.TaxonAngiosperms (Magnoliids; Monocots; Eudicots).MethodsData for the abundance of 5082 tree species in 1989 plots were combined with a mega-phylogeny. We applied evolutionary ordination to assess how phylogenetic composition varies across Amazonia. We used variation partitioning and Moran's eigenvector maps (MEM) to test and quantify the separate and joint contributions of spatial and environmental variables to explain the phylogenetic composition of plots. We tested the indicator value of lineages for geographic regions and edaphic forest types and mapped associations onto the phylogeny.ResultsIn the terra firme and várzea forest types, the phylogenetic composition varies by geographic region, but the igapó and white-sand forest types retain a unique evolutionary signature regardless of region. Overall, we find that soil chemistry, climate and topography explain 24% of the variation in phylogenetic composition, with 79% of that variation being spatially structured (R2 = 19% overall for combined spatial/environmental effects). The phylogenetic composition also shows substantial spatial patterns not related to the environmental variables we quantified (R2 = 28%). A greater number of lineages were significant indicators of geographic regions than forest types.Main ConclusionNumerous tree lineages, including some ancient ones (>66 Ma), show strong associations with geographic regions and edaphic forest types of Amazonia. This shows that specialization in specific edaphic environments has played a long-standing role in the evolutionary assembly of Amazonian forests. Furthermore, many lineages, even those that have dispersed across Amazonia, dominate within a specific region, likely because of phylogenetically conserved niches for environmental conditions that are prevalent within regions
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