O IMPACTO DE UM PROGRAMA DE GINÁSTICA LABORAL MENSURADO ATRAVÉS DO QUESTIONÁRIO NÓRDICO DE SINTOMAS

Resumo: Os profissionais que trabalham dentro de um hospital são imersos por desgastes físicos e emocionais, tornando-se necessário estabelecer momentos durante essa jornada que direcionem esses profissionais para o alívio das tensões e o desenvolvimento das relações humanas no trabalho, subsidiando aporte para a prevenção das doenças ocupacionais, bem como para uma melhor qualidade de vida no trabalho. Neste sentido, programas denominados Ginástica Laboral (GL) são implantados como forma de promover a saúde no ambiente laboral. Objetivo: Avaliar o impacto de um Programa de Ginástica Laboral através do Questionário Nórdico de Sintomas Osteomusculares. Metodologia: Trata-se de um estudo experimental longitudinal, com 53 profissionais do Hospital Luxemburgo / Instituto Mário Penna. Foram aplicados questionários pré e pós execução do programa de GL como medida de avaliação, os dados foram analisados pelo software Statistical Package for Social Science (SPSS), versão 22.0 e descritos em gráficos e tabelas. Resultados: Foi quantificada melhora de 26% na integração social entre os profissionais, assim como um decréscimo de 77,5% na prevalência de sintomas osteomusculares durante a jornada de trabalho. Conclusão: A prática de ginástica laboral composta por exercícios de alongamento, massagens e relaxamento no posto de trabalho dos profissionais tende a proporcionar mudanças significativas na melhoria da saúde em geral, sendo necessária a integração entre os profissionais que executam a GL e os supervisores

CARACTERIZAÇÃO DA PROJEÇÃO DO CENTRO DE GRAVIDADE DE BAILARINAS COM DEFICIÊNCIA AUDITIVA DURANTE O ORTOSTATISMO

RESUMO: A deficiência auditiva infantil tem prevalência mundial de 0,5-6 crianças para 1000 nascidos, pode ser leve, moderada, severa e profunda, podendo também ser condutiva, sensorioneural, mista e neural. Estudos apontam que a surdez neurossensorial está relacionada a um prejuízo funcional do sistema vestibular do ouvido interno. O controle postural é o resultado da interação das informações sensoriais e proprioceptivas, dos sistemas visual, vestibular e somatossensorial, essenciais para realização das atividades de vida diária e instrumental. Um sistema considerado estável é aquele que mantem seu centro de gravidade dentro da sua base de apoio. Objetivo: avaliar a projeção do centro de gravidade de bailarinas adolescentes com perda auditiva. Metodologia: estudo transversal com 14 bailarinas adolescentes com perda auditiva bilateral. O software SAPO permitiu a obtenção dos dados da projeção do CG no plano frontal e sagital em relação aos maléolos laterais. Resultados e Discussão: O plano frontal mostrou uma assimetria de 11,22 ± 12,05%, com valor máximo de 44,4%. O plano sagital mostrou uma assimetria de 42,3 ± 11,01%, com valor máximo de 59,4%. Para crianças desta idade o valor referencial da projeção do CG dentro da base de apoio está entre 0%e1%ao plano frontal e sagital. O valor encontrado da projeção de CG de bailarinas com perda auditiva é 11 vezes maior que adolescentes saudáveis. Conclusão: com base nas avaliações realizadas pode se afirmar que existem alterações na projeção do CG de bailarinas com deficiência auditiva quando comparadas a adolescentes saudáveis da mesma idade

Complexo de Carney esporádico, composto por Tumores cardíaco, testicular e cutâneo, em um jovem assintomático: Sporadic Carney Complex, composed of Cardiac, testicular and neo cut tumors, in a young asymptomatic

O complexo de Carney é uma síndrome neoplásica múltipla rara, que envolve alterações da pigmentação cutânea, mixomas cardíacos e cutâneos, hiperatividade endócrina ou tumores endócrinos, dentre outras múltiplas neoplasias. Sua manifestação pode ocorrer de forma hereditária ou esporádica, ambas com mutações genéticas. Em pacientes genotipados, há uma maior porcentagem no sexo feminino, 63% e 37% no sexo masculino, e a idade média do diagnóstico ocorre por volta dos 20 anos.  O reconhecimento de seus componentes é importante e pode levar à detecção de alterações cardíacas e endócrinas raras. Quando realizado diagnóstico de tal síndrome, deve-se realizar rastreio de possíveis tumores relacionados e seguimento periódico. O objetivo deste trabalho é relatar o caso clínico de Complexo de Carney esporádico, em um paciente jovem do sexo masculino, manifestada com Mixoma Atrial, Mixoma Cutâneo e Tumor de células de Sertoli. Ressalta-se sua importância por ser uma síndrome neoplásica rara e por ter sido diagnosticada ao acaso em um paciente assintomático.&nbsp

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

A social and ecological assessment of tropical land uses at multiple scales: the Sustainable Amazon Network

Science has a critical role to play in guiding more sustainable development trajectories. Here, we present the Sustainable Amazon Network (Rede Amazonia Sustentavel, RAS): a multidisciplinary research initiative involving more than 30 partner organizations working to assess both social and ecological dimensions of land-use sustainability in eastern Brazilian Amazonia. The research approach adopted by RAS offers three advantages for addressing land-use sustainability problems: (i) the collection of synchronized and co-located ecological and socioeconomic data across broad gradients of past and present human use; (ii) a nested sampling design to aid comparison of ecological and socioeconomic conditions associated with different land uses across local, landscape and regional scales; and (iii) a strong engagement with a wide variety of actors and non-research institutions. Here, we elaborate on these key features, and identify the ways in which RAS can help in highlighting those problems in most urgent need of attention, and in guiding improvements in land-use sustainability in Amazonia and elsewhere in the tropics. We also discuss some of the practical lessons, limitations and realities faced during the development of the RAS initiative so far.Keywords: Social–ecological systems, Tropical forests, Land use, Interdisciplinary research, Sustainability, Trade-off

ATLANTIC-PRIMATES: a dataset of communities and occurrences of primates in the Atlantic Forests of South America

Primates play an important role in ecosystem functioning and offer critical insights into human evolution, biology, behavior, and emerging infectious diseases. There are 26 primate species in the Atlantic Forests of South America, 19 of them endemic. We compiled a dataset of 5,472 georeferenced locations of 26 native and 1 introduced primate species, as hybrids in the genera Callithrix and Alouatta. The dataset includes 700 primate communities, 8,121 single species occurrences and 714 estimates of primate population sizes, covering most natural forest types of the tropical and subtropical Atlantic Forest of Brazil, Paraguay and Argentina and some other biomes. On average, primate communities of the Atlantic Forest harbor 2 ± 1 species (range = 1–6). However, about 40% of primate communities contain only one species. Alouatta guariba (N = 2,188 records) and Sapajus nigritus (N = 1,127) were the species with the most records. Callicebus barbarabrownae (N = 35), Leontopithecus caissara (N = 38), and Sapajus libidinosus (N = 41) were the species with the least records. Recorded primate densities varied from 0.004 individuals/km 2 (Alouatta guariba at Fragmento do Bugre, Paraná, Brazil) to 400 individuals/km 2 (Alouatta caraya in Santiago, Rio Grande do Sul, Brazil). Our dataset reflects disparity between the numerous primate census conducted in the Atlantic Forest, in contrast to the scarcity of estimates of population sizes and densities. With these data, researchers can develop different macroecological and regional level studies, focusing on communities, populations, species co-occurrence and distribution patterns. Moreover, the data can also be used to assess the consequences of fragmentation, defaunation, and disease outbreaks on different ecological processes, such as trophic cascades, species invasion or extinction, and community dynamics. There are no copyright restrictions. Please cite this Data Paper when the data are used in publications. We also request that researchers and teachers inform us of how they are using the data. © 2018 by the The Authors. Ecology © 2018 The Ecological Society of Americ

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