Fatores de risco das doenças cardiovasculares em adultos obesos: uma revisão integrativa

O presente estudo tem como objetivo correlacionar os fatores de risco das doenças cardiovasculares em adultos obesos. A metodologia dessa mini revisão integrativa foi realizada utilizando as bases de dados eletrônicos PubMed e Scielo, adotando os descritores “Fatores de Risco”, “Doenças Cardiovasculares”, “Adulto” e “Obesidade”. Os 5 estudos selecionados em meio aos 11 encontrados foram avaliados e tiveram sua seleção pautada na capacidade de relação com o objetivo da revisão. Como resultados, pode-se destacar que os artigos analisados fazem um compilado dos diversos fatores de risco que podem ser abordados no tema das doenças cardiovasculares e apresentam pontos que se relacionam de maneira a se complementarem e aumentarem a força dos estudos.  A maior divergência se apresentou no artigo de SAADATI et al. (2021), que apresentou que o fator de risco da obesidade central tende a não ser tão influente como outros fatores de risco (alta pressão sistólica e o aumento da espessura intima-media carotídea). Através da análise dos dados que foram levantados, pode-se concluir que os fatores de risco a doenças cardiovasculares em adultos obesos mais apontados foram o alto índice de massa corpórea que foi associado com os triglicérides, com a circunferência abdominal e a idade. A alta pressão sistólica, os níveis elevados de PCR (proteína C reativa), história prévia de infarto do miocárdio, maior prevalência de hipertensão, diabetes, obesidade e sedentarismo também foram apontados como fatores muito relevantes nas doenças cardiovasculares

Avaliação do perfil da composição corporal dos alunos de uma Universidade em Anápolis através da bioimpedância elétrica

A bioimpedância elétrica consiste na mensuração de parâmetros da composição corporal, dentre eles, a análise da massa de gordura corporal, a hidratação e o ângulo de fase a partir da passagem de corrente elétrica, estipulada em 50 KHz de pontos equidistantes do corpo delimitados pelos eletrodos. A corrente elétrica atinge células, órgãos, tecidos e músculos, possibilitando a investigação corporal em valores concretos por meio dessa mensuração interna do ambiente intra e extracelular. Devido a essas características, a bioimpedância elétrica proporciona benefícios importantes na detecção de condições patológicas, além de possibilitar medidas de abordagem clínica mais adequada aos pacientes, especialmente aos resultados mais críticos de avaliação, em conjunto às perspectivas de prevenção de doenças. Diante disso, evidencia-se a necessidade de inclusão do uso da bioimpedância elétrica na população em diversas condições essenciais de rastreamento. Desse modo, o objetivo desse trabalho é analisar comparativamente o perfil da composição corporal entre os alunos de diferentes cursos da Universidade Evangélica de Goiás – UniEVANGÉLICA, através da bioimpedância elétrica. Essa pesquisa possui caráter observacional, transversal, descritivo e quantitativo, com a coleta de dados da população delimitada. Dentro dessa perspectiva, os estudantes que aceitarem o acompanhamento pela bioimpedância estarão resguardados pelo TCLE e apresentarão informações importantes por meio de um questionário. Assim, espera-se comparar o perfil corporal entre os alunos de diferentes cursos dentro dos benefícios da bioimpedância

A list of land plants of Parque Nacional do Caparaó, Brazil, highlights the presence of sampling gaps within this protected area

Brazilian protected areas are essential for plant conservation in the Atlantic Forest domain, one of the 36 global biodiversity hotspots. A major challenge for improving conservation actions is to know the plant richness, protected by these areas. Online databases offer an accessible way to build plant species lists and to provide relevant information about biodiversity. A list of land plants of “Parque Nacional do Caparaó” (PNC) was previously built using online databases and published on the website "Catálogo de Plantas das Unidades de Conservação do Brasil." Here, we provide and discuss additional information about plant species richness, endemism and conservation in the PNC that could not be included in the List. We documented 1,791 species of land plants as occurring in PNC, of which 63 are cited as threatened (CR, EN or VU) by the Brazilian National Red List, seven as data deficient (DD) and five as priorities for conservation. Fifity-one species were possible new ocurrences for ES and MG states

Cartografia e diplomacia: usos geopolíticos da informação toponímica (1750-1850)

O artigo explora dimensões geopolíticas da toponímia, registradas em documentos cartográficos, desde as reformas empreendidas pelo consulado pombalino em meados do século XVIII, até às primeiras décadas do século XIX, em meio ao processo de afirmação do Estado imperial pós-colonial.This paper explores the geopolitical dimensions of toponymy as registered in cartographic documents dating from the reforms pushed through by the consulate of Marquis of Pombal in the mid 18th century to the early decades of the 19th century, as the post-colonial imperial State established itself

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

Catálogo Taxonômico da Fauna do Brasil: setting the baseline knowledge on the animal diversity in Brazil

The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others

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