Knowledge of nursing professionals about sexual violence against adolescents / Conhecimento dos profissionais de enfermagem sobre a violência sexual contra o adolescente

Objetivo: desvelar o conhecimento dos profissionais de enfermagem sobre violência sexual contra o adolescente. Método: Pesquisa qualitativa, descritiva, utilizando entrevista com perguntas semiestruturadas, realizada em uma enfermaria especializada em saúde do adolescente no Rio de Janeiro, no período de maio a agosto de 2018, com 17 profissionais de enfermagem. Resultados: Emergiram duas categorias temáticas relacionadas com a compreensão da violência sexual contra o adolescente e, as ações e condutas profissionais diante da violência sexual contra o adolescente. Conclusão: Conclui-se que há uma necessidade de capacitação dos profissionais de enfermagem relacionada a violência sexual contra o adolescente em decorrência da falta de conhecimento mais denso sobre a temática.

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

Estratégia saúde da família ação essencial no enfrentamento das desigualdades sociais.

Doutoramento em Ciências Biomédica

Representação social da gravidez na adolescência para adolescentes grávidas

La adolescencia relacionada a un embarazo no planeado trae profundas consecuencias para el individuo. Los objetivos de esta investigación fueron: identificar las representaciones de las adolescentes embarazadas sobre el embarazo, describir los factores que motivaron el embarazo, analizar las representaciones enfocando el desarrollo de subsidios para la actuación de la enfermería. Investigación cualitativa basada en la Teoría de las representaciones sociales. Se llevaron a cabo 15 entrevistas, sometidas a análisis de contenido, con adolescentes embarazadas atendidas en un puesto de salud pública de Río de [aneiro, de mayo a julio de 2008. Se observó polaridad en los contenidos representativos, abarcando tanto aspectos positivos como negativos. El principal factor destacado para originar el embarazo fue desear realmente quedar embarazada. La representación del embarazo se asocia con factores socioculturales, que determinarán cómo será percatada la gestación. Estos contenidos representativos del embarazo en la adolescencia podrán servir para futuras intervenciones