Closed doors: predictors of stress, anxiety, depression, and PTSD during the onset of COVID-19 pandemic in Brazil

BACKGROUND: The rise in mental health problems in the population directly or indirectly because of the coronavirus disease 2019 (COVID-19) pandemic is a major concern. The aim of this study was to investigate and compare independent predictors of symptoms of stress, anxiety, depression, and posttraumatic stress disorder (PTSD) in Brazilians one month after the implementation of measures of social distancing. METHODS: This cross-sectional study was performed using a web-based survey. The Depression, Anxiety, and Stress Scale (DASS-21) and PTSD Checklist for DSM-5 (PCL-5) were the outcomes. Data were gathered regarding demographics, social distancing, economic problems, exposure to the news of the pandemic, psychiatric history, sleep disturbances, traumatic situations, and substance use. The Alcohol Use Disorders Identification Test - Consumption (AUDIT-C) was also administered. The predictors of the symptoms were investigated using hierarchical multiple linear regression. RESULTS: Of a sample of 3587 participants, approximately two-thirds considered that their mental health worsened after the beginning of the social restriction measures. The most important predictors of the symptoms investigated were the intensity of the distress related to the news of the pandemic, younger age, current psychiatric diagnosis, trouble sleeping, emotional abuse or violence, and economic problems. CONCLUSIONS: These results confirmed the hypothesis that the pandemic impacted the mental health of the population and indicated that the level of distress related to the news was the most important predictor of psychological suffering

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

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

Ensaio sobre o ensino de ciência no Brasil no âmbito da educação denominacional

The Brazilian State faces an uncountable variety of challenges in Education, and among them scientific denialism through the teaching of creationism stands out. Science education has a horizon of providing an intellectual basis for the exercise of citizenship and quality of life through scientific literacy. This in turn is sabotaged by the inclusion of pseudosciences in school curricula. This essay aims to contribute with dialogues and reflections on denominational teaching in Brazil today and its consequences on the education of students. Therefore, a brief bibliographical survey on scientific denial and anti-intellectualism is presented, as a support for dialogues and reflections. Based on the analyses, the possibilities that these movements (considered as harmful) may come to be strengthened by the inconsistencies present in educational practices such as the teaching of creationism to the detriment of the teaching of science, are considered. It emphasizes the importance of continuing research to face denial.El Estado brasileño enfrenta una innumerable variedad de desafíos en Educación, entre los que se destaca el negacionismo científico a través de la enseñanza del creacionismo. La educación científica tiene como horizonte proporcionar una base intelectual para el ejercicio de la ciudadanía y la calidad de vida a través de la alfabetización científica. Esto, a su vez, se ve saboteado por la inclusión de pseudociencias en los planes de estudios escolares. Este ensayo tiene como objetivo contribuir con diálogos y reflexiones sobre la enseñanza confesional en Brasil hoy y sus consecuencias en la educación de los estudiantes. Por tanto, se presenta un breve relevamiento bibliográfico sobre la negación científica y el antiintelectualismo, como soporte de diálogos y reflexiones. A partir de los análisis, se consideran las posibilidades de que estos movimientos (considerados como nocivos) puedan llegar a fortalecerse por las inconsistencias presentes en prácticas educativas como la enseñanza del creacionismo en detrimento de la enseñanza de la ciencia. Enfatiza la importancia de continuar la investigación para enfrentar la negación.O Estado Brasileiro enfrenta uma variedade incontável de desafios na Educação, e dentre eles destaca-se o negacionismo científico através do ensino do criacionismo. O ensino de ciências possui um horizonte de proporcionar base intelectiva para o exercício de cidadania e qualidade de vida por meio de uma alfabetização científica. Esta por sua vez é sabotada pela inserção de pseudociências nos currículos escolares. Este ensaio objetiva contribuir com diálogos e reflexões sobre o ensino denominacional no Brasil atual e as suas consequências na formação dos estudantes. Para tanto é apresentado um breve levantamento bibliográfico sobre o negacionismo científico e o anti-intelectualismo, suporte para diálogos e reflexões. A partir de análises são consideradas as possibilidades de que esses movimentos (tidos como nocivos) possam vir a ser fortalecidos pelas incoerências presentes nas práticas educativas como o ensino do criacionismo em detrimento do ensino de ciências. Ressalta-se a importância da continuidade de pesquisas para o enfrentamento do negacionismo

Determinação da energia metabolizável aparente do grão de girassol integral para frangos de corte

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Determinação da energia metabolizável aparente do grão de girassol integral para frangos de corte

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Assessment of intrinsic capacity in the Brazilian older population and the psychometric properties of the WHO/ICOPE screening tool: a multicenter cohort study protocol

INTRODUCTION: The World Health Organization (WHO) has proposed to monitor intrinsic capacity (IC) in the older population as a public health strategy through the Integrated Care for Older People (ICOPE) program. Although the program has been developed based on solid concepts, scientific evidence on its practical applicability is still scarce. OBJECTIVES: To evaluate IC in Brazilian older adults, its progress over time, and its association with sociodemographic and health factors and outcomes. To evaluate the psychometric properties of the WHO/ICOPE screening tool. METHODS: This is a prospective multicenter cohort study with a 36-month follow-up. We will recruit 3838 people aged &ge; 60 years, registered in the health care units included in the study by the participating centers. We will collect sociodemographic and health data and will administer tools to assess IC domains, both those provided for in the ICOPE screening tool and the sequence of confirmatory assessments provided for in the program. Participants will be reassessed every 6 months for 36 months. EXPECTED RESULTS: To establish the profile of IC in the study population and to understand its progress and the variables associated with the clinical outcomes of interest. To reveal the diagnostic and psychometric properties of the WHO/ICOPE screening tool. The project is funded by the Brazilian National Council for Scientific and Technological Development (CNPq). RELEVANCE: Understanding the potential use of the ICOPE public health strategy proposed by the WHO within the scope of the Brazilian Unified Health System (SUS) by integrating several research centers in the field of Geriatrics and Gerontology throughout Brazil.</p