ANÁLISE DE LESÕES DESPORTIVAS EM JOVENS PRATICANTES DE FUTSAL

Objetivos: caracterizar as lesões desportivas (LD) e explorar fatores de risco para a sua instalação em jovens praticantes de futsal. Materiais e Métodos: foram coletados dados de 86 jovens praticantes de futsal, a partir da aplicação de um Inquérito de Morbidade Referida (IMR) adaptado para as características da modalidade, com solicitações das informações retroativas à temporada corrente, ou seja, aproximadamente 12 meses. O IMR continha dados antropométricos e de treinamento dos jogadores, que constituíram os fatores de risco analisados, além de informações sobre as LD como local anatômico, mecanismo, momento, gravidade, retorno às atividades normais e recidivas. Para a análise estatística, utilizou-se o teste t de Student para as variáveis contínuas ou Mann Whitney para variáveis discretas, além de estatística descritiva e as conclusões foram discutidas considerando 5% de significância estatística. Resultados: os locais anatômicos mais acometidos foram os membros inferiores, com o mecanismo de instalação da lesão mais frequente sendo o sem contato. As lesões aconteceram principalmente durante os treinamentos e foram de gravidade leve. Além disso, 62,5% dos atletas voltaram às atividades normais assintomáticos e 62,5% das lesões não foram consideradas recidivas. Com relação aos fatores de risco não houve diferença estatística entre os atletas acometidos e não acometidos por lesões. Conclusão: conclui-se que jovens jogadores de futsal apresentam maior frequência de lesões nos membros inferiores, pelo mecanismo sem contato, durante os treinamentos, de gravidade leve, com retorno assintomático e não recidivantes. Não foi observado nenhum fator de risco para o surgimento de LD

Health education: community health workers and medical students in the control of dengue epidemics

The Family Health Strategy represents one of the most successful initiatives for reorganization of primary care in Brazil. It brings, as differential, the Community Health Workers (CHW), who acts facilitating community access to effective professional care in the form of health-promoting actions. However, the way workers receive training to manage epidemics, as dengue, is almost unknown. In this context, this project addresses the importance of bringing together medical students and CHW in order to strengthening not only continuing education of CHW, but also the experienced learning of future physicians. The method adopted was the conduction of a focus group with six workers in a primary health care center in a mid-size town of Brazilian midwest. The focus group was conducted by the tutor and students previously trained on dengue prevention and management. Students identified communicational gaps based on what was told by CHW as correct actions related to dengue control, allowing them to start developing action strategies. This approach not only contributed for continuing education of workers but also became a effective transdisciplinary and interprofessional education opportunity for the students involved in the process. CHWs believed their communication strategies about dengue are effective and affordable, however the students detected some communication failures and created opportunities to address these misconceptions. Students have already started developing their strategies based on knowledge acquired on public health and experienced practices in the medical school. We believe that this project also offers a great importance for the development of students’communication skills and increase their commitment and social accountability

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

Photography-based taxonomy is inadequate, unnecessary, and potentially harmful for biological sciences

The question whether taxonomic descriptions naming new animal species without type specimen(s) deposited in collections should be accepted for publication by scientific journals and allowed by the Code has already been discussed in Zootaxa (Dubois & Nemésio 2007; Donegan 2008, 2009; Nemésio 2009a–b; Dubois 2009; Gentile & Snell 2009; Minelli 2009; Cianferoni & Bartolozzi 2016; Amorim et al. 2016). This question was again raised in a letter supported by 35 signatories published in the journal Nature (Pape et al. 2016) on 15 September 2016. On 25 September 2016, the following rebuttal (strictly limited to 300 words as per the editorial rules of Nature) was submitted to Nature, which on 18 October 2016 refused to publish it. As we think this problem is a very important one for zoological taxonomy, this text is published here exactly as submitted to Nature, followed by the list of the 493 taxonomists and collection-based researchers who signed it in the short time span from 20 September to 6 October 2016

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