AS DIFICULDADES DA TRIAGEM DO ESPECTRO AUTISTA EM CRIANÇAS NA ATENÇÃO BÁSICA

The integrative review examines the role of family physicians and other primary care professionals in the identification and care of Autism Spectrum Disorder (ASD), emphasizing the importance of continuous education and interdisciplinary collaboration.To analyze the main challenges faced by healthcare professionals in conducting ASD screening in primary care, from the team's perspective. An integrative literature review was conducted, covering studies published from 2013 to 2023. The research was built based on the PICO (Patient, Intervention, Comparison, and Outcomes) strategy and used health descriptors related to ASD. 427 articles were identified, which underwent eligibility criteria. The selected articles were read in full, summarized, and the results were organized in a table.Ten studies were selected that addressed various aspects of ASD care and diagnosis. The results found pointed out the difficulties to be overcome by healthcare professionals so that they feel confident and capable of conducting early screening and diagnosis: the complexities of medical consultations and issues related to healthcare professionals' remuneration and the need for interdisciplinary collaboration.This integrative review identifies the complexity of ASD diagnosis and care and the need for an interdisciplinary and collaborative approach to improve the care of children on the spectrum, emphasizing the need to promote adequate training and support for primary care healthcare professionals to enhance the quality of life for children with ASD and their families.A revisão integrativa analisa o papel do médico de família e demais profissionais da atenção básica na identificação e cuidado do Transtorno do Espectro Autista (TEA), destacando a importância da formação contínua e colaboração interdisciplinar. Analisar as principais dificuldades enfrentadas pelos profissionais de saúde na condução da triagem do TEA na atenção básica, sob a perspectiva da equipe. Foi realizada uma revisão integrativa da literatura, abrangendo estudos publicados de 2013 a 2023. A pesquisa foi construída com base na estratégia PICO (Paciente, Intervenção, Comparação e Outcomes) e utilizou descritores em saúde relacionados ao TEA. Foram identificados 427 artigos, que passaram por critérios de elegibilidade. Os artigos selecionados foram lidos na íntegra, resumidos e os resultados organizados em um quadro. Foram selecionados dez estudos que abordaram facetas do cuidado e diagnóstico do TEA. Os resultados encontrados apontaram as dificuldades a serem superadas pelos profissionais da saúde, para que estes se sintam confiantes e capacitados a realizar a triagem e o diagnóstico de forma precoce: as complexidades das consultas médicas e questões relacionadas à remuneração dos profissionais de saúde e a necessidade de colaboração interdisciplinar. Esta revisão integrativa identificou a complexidade do diagnóstico e cuidado do TEA e a necessidade de uma abordagem interdisciplinar e colaborativa para melhorar o atendimento de crianças no espectro, enfatizando a necessidade de promover a capacitação e o suporte adequados aos profissionais de saúde na atenção primária para melhorar a qualidade de vida das crianças com TEA e suas famílias

Níveis disfuncionais de ansiedade relacionada ao Coronavírus em estudantes de medicina: Dysfunctional levels of Coronavirus-related anxiety in medical students

As preocupações com a saúde mental das pessoas afetadas pela pandemia de coronavírus não foram abordadas adequadamente. Isso é surpreendente, uma vez que tragédias em massa, particularmente aquelas que envolvem doenças infecciosas, muitas vezes desencadeiam ondas de medo e ansiedade elevados que são conhecidos por causar perturbações maciças no comportamento e no bem-estar psicológico de muitos na população. Assim, o objetivo desse trabalho é demonstrar os níveis disfuncionais de ansiedade relacionada ao coronavírus em estudantes de medicina. Para isso, foi realizado uma revisão sistemática sobre a temática

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

Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight NCD Risk Factor Collaboration (NCD-RisC)

From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions

Assessment of the physiological potential of spinach seeds (Tetragonia tetragonoides (Pall.) Kuntze)

The efficiency of vigor tests in assessing the physiological potential of seeds depends on their standardization for different species. In this context, the research aimed to study specific methodologies to evaluate the vigor of spinach seeds (Tetragonia tetragonoides). For this purpose, five lots of spinach seed cv. New Zealand were submitted to germination, first count of germination, seedling emergence in the field, accelerated aging (with and without use of saturated solution of NaCl at 41and 45 ºC for 24,48 and 72 hours), controlled deterioration (18,21 and 24% seed water content adjustments for 24 hours at 45 ºC) and electrical conductivity tests with variations inwater volume (25, 50 and 75 mL), seed quantity (25 and 50) and soaking period (1, 2, 4, 8,12, 16 and 24 hours) at 25 ºC. The first count test allowed obtaining preliminary information about seed vigor, and other tests in general showed similarity with seedling emergence in the field. Thus, it was concluded that traditional accelerated aging test 24 h /41 ºC and accelerated aging test with saturated salt solution for 24 h at 41 ºC and 45 ºC, and controlled deterioration test with 21% seed water content / 24 h / 45 ºC were all efficient for evaluating the physiological potential of spinach seeds.A eficiência dos testes de vigor na avaliação do potencial fisiológico de sementes depende do desenvolvimento e/ou do ajuste de metodologias para as diferentes espécies. Nesse contexto, o objetivo da pesquisa foi adequar procedimentos para avaliação do potencial fisiológico de sementes de espinafre. Para tanto, sementes de cinco lotes, da cultivar Nova Zelândia, foram submetidas aos testes de germinação, primeira contagem da germinação, emergência de plântulas, envelhecimento acelerado (com e sem o uso de solução saturada de NaCl a 41 e 45 ºC por 24, 48 e 72 h), deterioração controlada (18, 21 e 24% de teor de água por 24 h a 45 ºC) e condutividade elétrica (25 e 50 sementes, 25, 50 e 75 mL de água de embebição por 1, 2, 4, 8, 12, 16 e 24 h, a 25 ºC). Pode-se concluir que os testes de envelhecimento acelerado tradicional 24 h / 41º C, envelhecimento acelerado com solução salina por 24 h a 41 e 45 °C e deterioração controlada a 21% / 24 h a 45 °C foram eficientes para avaliar o potencial fisiológico e para classificar os lotes de sementes de espinafre em níveis de vigor

Assessment of the physiological potential of spinach seeds (Tetragonia tetragonoides (Pall.) Kuntze)

The efficiency of vigor tests in assessing the physiological potential of seeds depends on their standardization for different species. In this context, the research aimed to study specific methodologies to evaluate the vigor of spinach seeds (Tetragonia tetragonoides). For this purpose, five lots of spinach seed cv. New Zealand were submitted to germination, first count of germination, seedling emergence in the field, accelerated aging (with and without use of saturated solution of NaCl at 41and 45 ºC for 24,48 and 72 hours), controlled deterioration (18,21 and 24% seed water content adjustments for 24 hours at 45 ºC) and electrical conductivity tests with variations inwater volume (25, 50 and 75 mL), seed quantity (25 and 50) and soaking period (1, 2, 4, 8,12, 16 and 24 hours) at 25 ºC. The first count test allowed obtaining preliminary information about seed vigor, and other tests in general showed similarity with seedling emergence in the field. Thus, it was concluded that traditional accelerated aging test 24 h /41 ºC and accelerated aging test with saturated salt solution for 24 h at 41 ºC and 45 ºC, and controlled deterioration test with 21% seed water content / 24 h / 45 ºC were all efficient for evaluating the physiological potential of spinach seeds