5 research outputs found
Consumo alimentar e estado nutricional de pacientes em tratamento hemodialĂtico/ Food consumption and nutritional status of patients under hemodialytic treatment
Introdução: Desempenhando um papel fundamental na terapia das doenças renais, a intervenção nutricional Ă© capaz de manter ou recuperar o estado nutricional, garantindo uma evolução clĂnica mais favorável. Nesta Ăłtica, o objetivo desta pesquisa Ă© avaliar o consumo alimentar e fatores associados em pacientes em tratamento hemodialĂtico. MĂ©todos: Trata-se de um estudo observacional, do tipo sĂ©rie de casos, desenvolvido no perĂodo de janeiro a outubro de 2016, em dois centros hemodialĂticos da cidade do Recife-PE, envolvendo um total de 57 pacientes adultos e idosos portadores de DRC em terapia hemodialĂtica. Os dados foram coletados por meio dos prontuários mĂ©dicos e de um questionário semiestruturado, os quais foram analisados marcadores socioeconĂ´micos, antropomĂ©tricos e dieta. Esta pesquisa foi aprovada pelo ComitĂŞ de Ética sob o CAAE: 51359415.8.0000.5208. Resultados: Foi observado que 19,3% dos pacientes eram desnutridos segundo o ĂŤndice de Massa Corporal e 56,1%, segundo a circunferĂŞncia de braço. Na análise do consumo alimentar, a ingestĂŁo calĂłrica foi inadequada em 82,4% e a proteica em 82,4% dos pacientes (acima ou abaixo do recomendado). A análise de micronutrientes apontou um consumo reduzido de cálcio, com mĂ©dia de ingestĂŁo de 471,4±317,9mg e percentual de inadequação de 94,7%. TambĂ©m foi verificado que pacientes com maior tempo de HD apresentaram um maior consumo calĂłrico (p=0,035). ConclusĂŁo: Evidencia-se que os pacientes apresentaram um consumo reduzido em relação Ă s recomendações de calorias, proteĂnas, fĂłsforo e cálcio. Conclui-se a importância do acompanhamento nutricional um dos pontos cruciais para a manutenção e recuperação do estado nutricional em pacientes em hemodiálise
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
Neotropical freshwater fisheries : A dataset of occurrence and abundance of freshwater fishes in the Neotropics
The Neotropical region hosts 4225 freshwater fish species, ranking first among the world's most diverse regions for freshwater fishes. Our NEOTROPICAL FRESHWATER FISHES data set is the first to produce a large-scale Neotropical freshwater fish inventory, covering the entire Neotropical region from Mexico and the Caribbean in the north to the southern limits in Argentina, Paraguay, Chile, and Uruguay. We compiled 185,787 distribution records, with unique georeferenced coordinates, for the 4225 species, represented by occurrence and abundance data. The number of species for the most numerous orders are as follows: Characiformes (1289), Siluriformes (1384), Cichliformes (354), Cyprinodontiformes (245), and Gymnotiformes (135). The most recorded species was the characid Astyanax fasciatus (4696 records). We registered 116,802 distribution records for native species, compared to 1802 distribution records for nonnative species. The main aim of the NEOTROPICAL FRESHWATER FISHES data set was to make these occurrence and abundance data accessible for international researchers to develop ecological and macroecological studies, from local to regional scales, with focal fish species, families, or orders. We anticipate that the NEOTROPICAL FRESHWATER FISHES data set will be valuable for studies on a wide range of ecological processes, such as trophic cascades, fishery pressure, the effects of habitat loss and fragmentation, and the impacts of species invasion and climate change. There are no copyright restrictions on the data, and please cite this data paper when using the data in publications