A elevada prevalência do índice de adiposidade corporal está associado a fatores sociodemográficos, hábitos comportamentais e perfil antropométrico?

Introdução: O estilo de vida não saudável aderido por uma parcela considerável da população propicia o acúmulo de massa corpórea que pode ser evidenciado pela aquisição de sobrepeso e obesidade além de outras comorbidades. Estimativa antropométrica da composição corpórea pode expandir não apenas a capacidade fidedigna de estudos epidemiológicos, mas também o direcionamento de políticas públicas eficazes que possam interferir positivamente na qualidade de vida dessas pessoas. O índice de Adiposidade Corporal (IAC), originado em 2011, emerge como método promissor a fim de viabilizar mais precisão nessas análises antropométricas frente a outros métodos. Objetivo: Estimar a prevalência do Índice de Adiposidade Corporal (IAC) e fatores associados em colaboradores técnicos de um Centro Universitário em Montes Claros-MG. Materiais e Métodos: Estudo epidemiológico, transversal e analítico, realizado no Centro Universitário FIPMoc (UNIFIPMoc), em Montes Claros-MG, no período de janeiro a dezembro de 2019. Resultados: A prevalência de adiposidade corporal foi de 45,3%, entre os colaboradores investigados. Considerando os aspectos sociodemográficos, os hábitos comportamentais e os perfis antropométricos investigados, as condições que demonstraram relação significativa com o IAC foram o sexo (p=0,000), o uso de cigarros (0,562) e o IMC (p=0,013). Discussão: Constatou-se uma alta prevalência de adiposidade corporal nos colaboradores técnicos que se mantiveram associados a fatores sociodemográficos, hábitos comportamentais e perfil antropométrico. Conclusão: A prevalência expressiva de adiposidade corporal evidenciada nos colaboradores técnicos pode possibilitar a implementação de medidas intervencionistas, a fim de promover a saúde e, de forma abrangente, potencializar a qualidade de vida dos participantes envolvidos

Exame clínico pediátrico: aquisição de habilidades na disciplina Pediatria Preventiva Social, FAMEB - UFBa.

This study analyzes the main difficulties and the acquired skilles of the medical students  in the ambulatorial practice of Social Preventive Pediatrics Discipline, from the College of Medicine of Bahia - Federal University of Bahia - in their first contact with the pediatric clinic.  The students were inquired about their main difficulties at the begining and at the end of the discipline, through a questionnaire, with the objective of identifying the acquired skills and the most hardly surpassed difficulties. This practical activity is characterized by the ambulatorial primary attendance, in which the pediatric consultation is performed,  emphasizing a detailed interview and a complete physical examination, besides the peculiarities of each pediatric age group. As to the interview, the students  demonstrated to be less secure on  the analysis of  growth and  neuropsychomotor development; whereas on  physical examination, a reduced self-confidence has been noted on abdominal and genital examination. A clear acquisition of skills was noted in the performance of the interview as well as of the physical examination, although in  some  variables  this evolution was more evident.O estudo analisa as principais dificuldades referidas e as habilidades adquiridas pelos estudantes de Medicina na prática ambulatorial da disciplina Pediatria Preventiva Social, da Faculdade de Medicina da Universidade Federal da Bahia, em seu primeiro contato com a clínica pediátrica. Através de um questionário, os estudantes foram inquiridos, em dois momentos distintos (início e término da disciplina) acerca dos aspectos com maior dificuldade de superação e progressos obtidos no contato com as crianças. Essa atividade prática se caracteriza pelo atendimento primário ambulatorial, na qual se exercita a consulta pediátrica, enfatizando anamnese detalhada e o exame físico completo, além das peculiaridades das diversas faixas etárias pediátricas. Com relação à anamnese, os estudantes demonstraram ter menor segurança na análise do crescimento e do desenvolvimento neuropsicomotor, enquanto que, no exame físico, relataram redução no grau de segurança no exame do abdômen (palpação de órgãos) e dos órgãos genitais. No geral, houve aquisição de habilidades tanto na realização da anamnese quanto do exame físico, sendo que, para algumas variáveis, essa evolução foi mais evidente

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

Brazilian Flora 2020: Leveraging the power of a collaborative scientific network

International audienceThe shortage of reliable primary taxonomic data limits the description of biological taxa and the understanding of biodiversity patterns and processes, complicating biogeographical, ecological, and evolutionary studies. This deficit creates a significant taxonomic impediment to biodiversity research and conservation planning. The taxonomic impediment and the biodiversity crisis are widely recognized, highlighting the urgent need for reliable taxonomic data. Over the past decade, numerous countries worldwide have devoted considerable effort to Target 1 of the Global Strategy for Plant Conservation (GSPC), which called for the preparation of a working list of all known plant species by 2010 and an online world Flora by 2020. Brazil is a megadiverse country, home to more of the world's known plant species than any other country. Despite that, Flora Brasiliensis, concluded in 1906, was the last comprehensive treatment of the Brazilian flora. The lack of accurate estimates of the number of species of algae, fungi, and plants occurring in Brazil contributes to the prevailing taxonomic impediment and delays progress towards the GSPC targets. Over the past 12 years, a legion of taxonomists motivated to meet Target 1 of the GSPC, worked together to gather and integrate knowledge on the algal, plant, and fungal diversity of Brazil. Overall, a team of about 980 taxonomists joined efforts in a highly collaborative project that used cybertaxonomy to prepare an updated Flora of Brazil, showing the power of scientific collaboration to reach ambitious goals. This paper presents an overview of the Brazilian Flora 2020 and provides taxonomic and spatial updates on the algae, fungi, and plants found in one of the world's most biodiverse countries. We further identify collection gaps and summarize future goals that extend beyond 2020. Our results show that Brazil is home to 46,975 native species of algae, fungi, and plants, of which 19,669 are endemic to the country. The data compiled to date suggests that the Atlantic Rainforest might be the most diverse Brazilian domain for all plant groups except gymnosperms, which are most diverse in the Amazon. However, scientific knowledge of Brazilian diversity is still unequally distributed, with the Atlantic Rainforest and the Cerrado being the most intensively sampled and studied biomes in the country. In times of “scientific reductionism”, with botanical and mycological sciences suffering pervasive depreciation in recent decades, the first online Flora of Brazil 2020 significantly enhanced the quality and quantity of taxonomic data available for algae, fungi, and plants from Brazil. This project also made all the information freely available online, providing a firm foundation for future research and for the management, conservation, and sustainable use of the Brazilian funga and flora

ATLANTIC ANTS: a data set of ants in Atlantic Forests of South America

International audienc