Exploratory Study of Consumer Behavior and Disposal of Digital Technologies by Youngsters

Este estudo buscou analisar o perfil de consumo e o destino pós-consumo das tecnologias digitais por jovens. Participaram da pesquisa 404 jovens, com idades entre 15 e 24 anos. Aplicou-se um questionário estruturado sobre as motivações para o uso, os motivos das trocas e os tipos de descarte. A análise estatística, efetuada por meio de regressão logística, mostrou que o gênero masculino tem 51% mais chance de troca da tecnologia de informática por desatualização do que o feminino. Além disso, o gênero feminino tem 2,44 vezes mais chances de trocar a tecnologia de telefonia por beleza. Quanto ao descarte, os jovens possuem a tendência de guardar, evidenciando o valor afetivo atribuído à tecnologia, embora o descarte em lixo comum ainda seja uma prática usual. Conclui-se que há necessidade de os jovens construírem um posicionamento crítico diante do apelo ao consumo, bem como ações de educação ambiental, visando ao comportamento ecológico.This study sought to analyze the profile of consumption and post-consumption of digital technologies by young people. Four hundred and four young people participated in the survey, aged between 15 and 24 years. A structured questionnaire about their motivations to use of technologies was applied, as well as for the reasons for exchanging them and types of disposal. Statistical analysis performed using logistic regression showed that the males have 51% more chances to exchange the computer due to outdated technology than the female. In addition, the females have 2.44 more chances to exchange technology telephony by beauty. For disposal, the youngsters have a tendency to store, highlighting the affective value attributed to technology, although disposal in regular trash is still a usual practice. It was concluded that there is the need for young people to build a critical position before the call to consumption, as well as environmental education, aiming ecological awareness

O impacto da pandemia de COVID-19 na população indígena: uma análise científica

A pandemia de COVID-19, desencadeada pelo coronavírus SARS-CoV-2, tem sido um desafio global, afetando diversas comunidades, com destaque para as populações indígenas, historicamente marginalizadas e vulneráveis devido a desigualdades estruturais. O presente artigo trata-se de uma pesquisa bibliográfica, através de uma revisão integrativa da literatura. A análise epidemiológica revela que fatores como superlotação em moradias, falta de acesso a água potável e saneamento básico, além de altas taxas de comorbidades, contribuem para a propagação e impactos severos da doença nessas comunidades. A falta de acesso a serviços de saúde adequados é agravada pela escassez de infraestrutura e profissionais de saúde em áreas remotas, somada a barreiras linguísticas e culturais. Apesar dos desafios, as populações indígenas têm demonstrado resiliência, implementando medidas proativas de prevenção, promovendo solidariedade comunitária e preservando práticas tradicionais de cura. Estratégias de longo prazo incluem a diversificação econômica e o fortalecimento dos sistemas de saúde indígenas. A conclusão ressalta a importância de reconhecer e valorizar os conhecimentos e direitos das comunidades indígenas, promovendo ações colaborativas para construir sociedades mais inclusivas e resilientes

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

Reinfecção da Covid-19 em neonatos e crianças: revisão de literatura : Reinfection of Covid-19 in neonates and children: literature review

Em dezembro de 2019, um novo vírus respiratório foi detectado na China, sendo denominado posteriormente como COVID-19, provindo do vírus SARS-CoV-2. Este vírus se espalhou rapidamente gerando uma pandemia mundial. Vários foram e ainda são os problemas decorrentes deste vírus, que atingiu desde crianças aos idosos, dentre eles, cita-se a reinfeção dos indivíduos, causando como consequência, problemas de saúde inacabáveis. Assim, devido aos estudos elencarem menores sinais e sintomas nas crianças e, ainda, menores taxas de infecção, passou-se a questionar quanto as reinfecções em crianças e neonatos. Por isso, o estudo objetivou realizar uma revisão de literatura sobre reinfecção de COVID-19 em crianças e neonatos. Para isso, realizou-se uma revisão sistemática de literatura, através de uma busca nas bases de dados Latino-Americana e do Caribe em Ciências da Saúde, Google Scholar e Scientific Electronic Library Online, utilizando-se os descritores: Reinfecção COVID-19; Reinfecção COVID-19 em crianças; Reinfecção COVID-19 em neonatos; COVID-19 e reinfecção. Com isso, foram selecionados 10 artigos que compunham os critérios de inclusão e exclusão do presente estudo. Dessa forma, destaca-se que os estudos evidenciaram que o número de reinfecções em crianças e neonatos é baixo, porém, são escassas as literaturas sobre o tema, possuindo, assim diversas lacunas a serem sanadas para uma compreensão melhor do assunto

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

COVID-19 symptoms at hospital admission vary with age and sex: results from the ISARIC prospective multinational observational study

Background: The ISARIC prospective multinational observational study is the largest cohort of hospitalized patients with COVID-19. We present relationships of age, sex, and nationality to presenting symptoms. Methods: International, prospective observational study of 60 109 hospitalized symptomatic patients with laboratory-confirmed COVID-19 recruited from 43 countries between 30 January and 3 August 2020. Logistic regression was performed to evaluate relationships of age and sex to published COVID-19 case definitions and the most commonly reported symptoms. Results: ‘Typical’ symptoms of fever (69%), cough (68%) and shortness of breath (66%) were the most commonly reported. 92% of patients experienced at least one of these. Prevalence of typical symptoms was greatest in 30- to 60-year-olds (respectively 80, 79, 69%; at least one 95%). They were reported less frequently in children (≤ 18 years: 69, 48, 23; 85%), older adults (≥ 70 years: 61, 62, 65; 90%), and women (66, 66, 64; 90%; vs. men 71, 70, 67; 93%, each P < 0.001). The most common atypical presentations under 60 years of age were nausea and vomiting and abdominal pain, and over 60 years was confusion. Regression models showed significant differences in symptoms with sex, age and country. Interpretation: This international collaboration has allowed us to report reliable symptom data from the largest cohort of patients admitted to hospital with COVID-19. Adults over 60 and children admitted to hospital with COVID-19 are less likely to present with typical symptoms. Nausea and vomiting are common atypical presentations under 30 years. Confusion is a frequent atypical presentation of COVID-19 in adults over 60 years. Women are less likely to experience typical symptoms than men

Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study

Funder: European Society of Intensive Care Medicine; doi: http://dx.doi.org/10.13039/501100013347Funder: Flemish Society for Critical Care NursesAbstract: Purpose: Intensive care unit (ICU) patients are particularly susceptible to developing pressure injuries. Epidemiologic data is however unavailable. We aimed to provide an international picture of the extent of pressure injuries and factors associated with ICU-acquired pressure injuries in adult ICU patients. Methods: International 1-day point-prevalence study; follow-up for outcome assessment until hospital discharge (maximum 12 weeks). Factors associated with ICU-acquired pressure injury and hospital mortality were assessed by generalised linear mixed-effects regression analysis. Results: Data from 13,254 patients in 1117 ICUs (90 countries) revealed 6747 pressure injuries; 3997 (59.2%) were ICU-acquired. Overall prevalence was 26.6% (95% confidence interval [CI] 25.9–27.3). ICU-acquired prevalence was 16.2% (95% CI 15.6–16.8). Sacrum (37%) and heels (19.5%) were most affected. Factors independently associated with ICU-acquired pressure injuries were older age, male sex, being underweight, emergency surgery, higher Simplified Acute Physiology Score II, Braden score 3 days, comorbidities (chronic obstructive pulmonary disease, immunodeficiency), organ support (renal replacement, mechanical ventilation on ICU admission), and being in a low or lower-middle income-economy. Gradually increasing associations with mortality were identified for increasing severity of pressure injury: stage I (odds ratio [OR] 1.5; 95% CI 1.2–1.8), stage II (OR 1.6; 95% CI 1.4–1.9), and stage III or worse (OR 2.8; 95% CI 2.3–3.3). Conclusion: Pressure injuries are common in adult ICU patients. ICU-acquired pressure injuries are associated with mainly intrinsic factors and mortality. Optimal care standards, increased awareness, appropriate resource allocation, and further research into optimal prevention are pivotal to tackle this important patient safety threat