122 research outputs found
Aging, Gender and Quality of Life (AGEQOL) study: factors associated with good quality of life in older Brazilian community-dwelling adults
Uso da testagem rápida para HIV em acidentes com material biológico em profissionais de saúde
Perfil de aderência ao controle / seguimento após acidente com material biológico em um hospital universitário
A utilização do software sábio - uma aventura ecológica como ferramenta didática no ensino de ciências ambientais / The use of the software sábio - uma aventura ecológica as a didactic tool in environmental science teaching
O uso da tecnologia educacional no atual contexto das instituições de ensino é fundamental para a modernização da educação brasileira, nesse sentido, o presente trabalho objetivou estimular a conscientização de crianças a respeito da educação ambiental através de jogos didáticos. Este trabalho apresenta o processo de desenvolvimento e aplicação de um jogo educativo ambiental intitulado Sábio - Uma Aventura Ecológica. A utilização do jogo promoveu, nos alunos, o interesse em combater os problemas ambientais enfrentados em Ananindeua / PA, região metropolitana de Belém. O projeto foi aplicado na Escola Sistema de Ensino Amazônia com 42 alunos do sexto ano do Ensino Fundamental, ao final do jogo foram distribuídos aos educandos questionários contendo questões referentes ao grau de dificuldade do jogo e aos problemas ambientais existentes na cidade. Após a aplicabilidade do jogo e das respostas obtidas com os questionários foi possível observar que os alunos participaram ativamente de cada fase do jogo e entenderam o quanto é importante cuidar do meio ambiente
Risk factors associated with adverse fetal outcomes in pregnancies affected by Coronavirus disease 2019 (COVID-19): a secondary analysis of the WAPM study on COVID-19.
Objectives To evaluate the strength of association between maternal and pregnancy characteristics and the risk of adverse perinatal outcomes in pregnancies with laboratory confirmed COVID-19. Methods Secondary analysis of a multinational, cohort study on all consecutive pregnant women with laboratory-confirmed COVID-19 from February 1, 2020 to April 30, 2020 from 73 centers from 22 different countries. A confirmed case of COVID-19 was defined as a positive result on real-time reverse-transcriptase-polymerase-chain-reaction (RT-PCR) assay of nasal and pharyngeal swab specimens. The primary outcome was a composite adverse fetal outcome, defined as the presence of either abortion (pregnancy loss before 22 weeks of gestations), stillbirth (intrauterine fetal death after 22 weeks of gestation), neonatal death (death of a live-born infant within the first 28 days of life), and perinatal death (either stillbirth or neonatal death). Logistic regression analysis was performed to evaluate parameters independently associated with the primary outcome. Logistic regression was reported as odds ratio (OR) with 95% confidence interval (CI). Results Mean gestational age at diagnosis was 30.6+/-9.5 weeks, with 8.0% of women being diagnosed in the first, 22.2% in the second and 69.8% in the third trimester of pregnancy. There were six miscarriage (2.3%), six intrauterine device (IUD) (2.3) and 5 (2.0%) neonatal deaths, with an overall rate of perinatal death of 4.2% (11/265), thus resulting into 17 cases experiencing and 226 not experiencing composite adverse fetal outcome. Neither stillbirths nor neonatal deaths had congenital anomalies found at antenatal or postnatal evaluation. Furthermore, none of the cases experiencing IUD had signs of impending demise at arterial or venous Doppler. Neonatal deaths were all considered as prematurity-related adverse events. Of the 250 live-born neonates, one (0.4%) was found positive at RT-PCR pharyngeal swabs performed after delivery. The mother was tested positive during the third trimester of pregnancy. The newborn was asymptomatic and had negative RT-PCR test after 14 days of life. At logistic regression analysis, gestational age at diagnosis (OR: 0.85, 95% CI 0.8-0.9 per week increase; pPeer reviewe
Alterações cognitivas na infecção pelo HIV: uma revisão sistemática: Cognitive changes in HIV infection: a systematic review
Provocada pelo vírus da imunodeficiência humana, com a síndrome da imunodeficiência adquirida, numa pessoa tem o seu sistema imunológico prejudicado, tornando-se suscetível a outras doenças e infecção. Tem-se a estimativa de que 50% dos infectados com o referido vírus podem sofrer alterações cognitivas. Diante disso, este estudo tem como objetivo refletir sobre mudanças estruturais cerebrais e comprometimento cognitivo em pacientes com HIV. Portanto, trata-se de uma revisão sistemática de literatura, desenvolvida a partir da seleção de estudos nas bases de dados Scielo, Pubmed e BVS/Medline a partir do uso de descritores DeCS/MeSH e aplicação de critérios de inclusão e exclusão. Após a análise e interpretação dos dados, concluiu-se que há uma significativa prevalência de HAND em adultos infectados por HIV, no que se refere a alterações cognitivas, especialmente entre pacientes do sexo feminino, de baixa escolaridade e renda, com diagnóstico tardio e baixa quantidade de linfócitos CD4 no início do tratamento. Entre essas pessoas, revelam-se comprometimentos quanto à memória, atenção, controle de impulsos, velocidade de processamento e motora, dentre outros
Rising rural body-mass index is the main driver of the global obesity epidemic in adults
Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities(.)(1,2) This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity(3-6). Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55% of the global rise in mean BMI from 1985 to 2017-and more than 80% in some low- and middle-income regions-was due to increases in BMI in rural areas. This large contribution stems from the fact that, with the exception of women in sub-Saharan Africa, BMI is increasing at the same rate or faster in rural areas than in cities in low- and middle-income regions. These trends have in turn resulted in a closing-and in some countries reversal-of the gap in BMI between urban and rural areas in low- and middle-income countries, especially for women. In high-income and industrialized countries, we noted a persistently higher rural BMI, especially for women. There is an urgent need for an integrated approach to rural nutrition that enhances financial and physical access to healthy foods, to avoid replacing the rural undernutrition disadvantage in poor countries with a more general malnutrition disadvantage that entails excessive consumption of low-quality calories.Peer reviewe
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
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