Food and Nutrition Surveillance System markers predict diet quality

OBJECTIVE: To investigate the performance of food consumption markers of the Food and Nutrition Surveillance System (Sisvan) in assessing the overall dietary quality. METHODS: The study was carried out based on the reproduction of responses to markers in 24-hour recall data from 46,164 individuals aged ≥ 10 years, from the 2017–2018 Household Budget Survey (POF). Seven Sisvan markers were evaluated, and two scores were calculated for each participant, based on the sum of the number of healthy food markers (beans, fruits, and vegetables, ranging from 0 to 3) and unhealthy (hamburgers/sausages, sweetened beverages, instant noodles/salt snacks/crackers, stuffed cookies/sweets/candies, ranging from 0 to 4) consumed. Linear regression analyses were used to assess the association between scores and diet quality indicators (ultra-processed foods, dietary diversity, and levels of saturated and trans fat, added sugar, sodium, potassium, and fiber in the diet). RESULTS: The score of healthy eating markers increased significantly with increasing dietary diversity and potassium and fiber contents in the diet, while the opposite trend was observed for the densities of added sugar, sodium, saturated and trans fat (p < 0.001). The score of unhealthy eating markers increased significantly with the increase in the consumption of ultra-processed foods and densities of added sugar, saturated and trans fat levels in the diet, while an inverse trend was observed for potassium and fiber (p < 0.001). The joint analysis of the combination of the two marker scores showed that individuals with better performance (3 in the healthy food score, and 0 in the unhealthy food score) have a lower number of inadequacies in nutrient consumption. CONCLUSION: Sisvan food consumption markers, quickly and easily applied and already incorporated into the Brazilian public health system, have good potential to reflect the overall dietary quality.OBJETIVO: Investigar o desempenho dos marcadores do consumo alimentar do Sistema de Vigilância Alimentar e Nutricional (Sisvan) na avaliação da qualidade global da alimentação. MÉTODOS: O estudo foi realizado a partir da reprodução de respostas aos marcadores em dados de recordatórios de 24 horas, de 46.164 indivíduos com idade menor ou igual a 10 anos, da Pesquisa de Orçamentos Familiares 2017–2018. Foram avaliados sete marcadores do Sisvan e calculados dois escores para cada participante, a partir do somatório do número de marcadores de alimentação saudável (feijão, frutas, verduras/legumes, variando de 0 a 3) e não saudável (hambúrguer/embutidos, bebidas adoçadas, macarrão instantâneo/salgadinhos/biscoitos salgados, biscoito recheado/doces/guloseimas, variando de 0 a 4) consumidos. Análises de regressão linear foram usadas para avaliar a associação entre os escores e indicadores de qualidade da alimentação (participação de alimentos ultraprocessados, diversidade e teores de gordura saturada, trans, açúcar de adição, sódio, potássio e fibra da dieta). RESULTADOS: o escore de marcadores de alimentação saudável aumentou de forma significativa com o aumento da diversidade e dos teores de potássio e fibra da dieta, enquanto tendência oposta foi observada para as densidades de açúcar de adição, sódio, gordura saturada e trans (p < 0,001). Observou-se que o escore de marcadores de alimentação não saudável aumentou de forma significativa com o aumento da participação de alimentos ultraprocessados e dos teores de açúcar de adição, gordura saturada e trans da dieta, enquanto tendência inversa é observada para potássio e fibra (p < 0,001). A análise conjunta da combinação dos dois escores de marcadores mostrou que indivíduos com melhor desempenho (3 no escore de alimentos saudáveis, e 0 no de alimentos não saudáveis) possuem menor número de inadequações no consumo de nutrientes. CONCLUSÃO: Os marcadores do consumo alimentar do Sisvan, aplicados de forma rápida e prática e já incorporados no sistema público de saúde brasileiro, possuem bom potencial para refletir a qualidade global da alimentação

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

Avaliação do trabalho da enfermagem na área indígena Yanomami dos municípios de Barcelos e Santa Isabel do Rio Negro - Amazonas

Submitted by Ycaro Santos ([email protected]) on 2019-01-14T19:45:12Z No. of bitstreams: 1 Dissertação Jaime.pdf: 4291527 bytes, checksum: 4c5b456297ba13e5db394e9a4f1a08be (MD5)Approved for entry into archive by Ycaro Santos ([email protected]) on 2019-01-14T19:46:04Z (GMT) No. of bitstreams: 1 Dissertação Jaime.pdf: 4291527 bytes, checksum: 4c5b456297ba13e5db394e9a4f1a08be (MD5)Made available in DSpace on 2019-01-14T19:46:04Z (GMT). No. of bitstreams: 1 Dissertação Jaime.pdf: 4291527 bytes, checksum: 4c5b456297ba13e5db394e9a4f1a08be (MD5) Previous issue date: 2007-03-30Fundação Oswaldo Cruz. Instituto de Pesquisas Leônidas e Maria Deane. Manaus, AM, Brasil.O estudo visa avaliar o processo de trabalho dos profissionais de enfermagem atuantes na área indígena Yanomami dos municípios de Barcelos e Santa Isabel do Rio Negro, Amazonas, Norte do Brasil, no ano de 2006, por meio de análise de conteúdo das entrevistas realizadas com 03 enfermeiros e 17 técnicos de enfermagem de uma organização não-governamental que assiste os índios do Distrito Sanitário Especial Indígena Yanomami. Ouvir os profissionais que desenvolvem esse trabalho é importante por se tratar de um modo único de prestar cuidados de saúde ao mesmo tempo em que se busca gerenciar a rotina de atividades fora de uma unidade de saúde. O resultado evidencia 04 categorias de análise: as atribuições dos profissionais em área indígena, suas fragilidades e potencialidades vividas na rotina do serviço e mudanças sugeridas pelos entrevistados para a melhoria das ações de saúde. Tais informações são relevantes para compreender o processo de trabalho singular que é desenvolvido entre os indígenas. Espera-se que essa pesquisa contribua para a compreensão do trabalho atualmente desenvolvido junto à população indígena e colabore para a implementação de novas rotinas e condutas que tragam benefícios ao serviço.The study aims to evaluate the working process of the nursing professionals who act in the Yanomami indigenous area of the municipal districts of Barcelos and Santa Isabel do Rio Negro, Amazonas state, North of Brazil, in year of 2006, throughout of interviews content analysis accomplished with 03 nurses and 17 technical of nursing of a not-governmental organization that attends indigenous of the Yanomami Indigenous Sanitary Special District. Listening to the professionals who develop this work is important due to it is an unique way to provide health care at the same time that it is intended to manage the activities routine outside a health care unit. The result evidences 04 analysis categories: the working process in indigenous area, its fragilities and potentialities lived in the service and changes routine suggested by the interviewees to improve the health actions. Such informations are relevant for understanding the unique working process developed among Indians. I hope this research collaborate for the best comprehension of the work developed for Indian population at the present time and co-operate for the implementation of new routines and procedures which bring benefits to the service