Situação vacinal de crianças e adolescentes em Teresina-PI

A vacinação é considerada uma das medidas mais eficazes e custo-efetivas responsáveis pela erradicação e pelo controle de diversas afecções preveníveis em todo o mundo. Não obstante, a possibilidade da ocorrência da redução na cobertura vacinal, especialmente com o advento da pandemia COVID-19 deflagrada no fim de 2019, contribuiu para a recrudescência de doenças até então debeladas. Destarte, com a intenção de realizar uma análise que pondere as faixas etárias, desde a infância até a juvenilidade, bem como a tendência de cobertura vacinal, o presente estudo teve o objetivo avaliar a cobertura vacinal de crianças e adolescentes, envolvendo as faixas etárias de 0 a 17 anos e 11 meses. Este trata-se de um estudo do tipo observacional, descritivo, transversal e de abordagem qualitativa, realizado na cidade de Teresina-Piauí, de 2018 a 2022, utilizando dados do Sistema de Informações do Programa Nacional de Imunizações e coleta de dados em três Unidades Básicas de Saúde (UBS), incluindo Maria Dulce Cunha, Reginaldo M. Castro e Tania M. Melo Rodrigues. Com a realização desta pesquisa observou-se que ocorreu atraso vacinal significativo na amostra estudada, na qual 24 crianças, o que corresponde a 38,2% da amostra, estavam com as imunizações desatualizadas, especialmente devido a fatores como escassez de tempo livre, coincidência com o horário de trabalho dos pais e presença de recursos imunizantes insuficientes. Desse modo, o estudo evidenciou uma considerável redução na cobertura vacinal nos últimos cinco anos, constatando heterogeneidades consideráveis entre as UBS avaliadas. Por conseguinte, existe a necessidade do estabelecimento de um planejamento estratégico condizente com as características de cada localidade com o propósito de controlar a redução de imunizações e o reaparecimento de doenças já erradicadas no Brasil

Análise da influência das redes sociais na busca por procedimentos cosméticos entre acadêmicos de medicina

INTRODUÇÃO: O objetivo deste trabalho foi avaliar a influência da mídia no interesse de acadêmicos de medicina por procedimentos estéticos. MÉTODOS: Empregou-se um questionário online a 322 estudantes de medicina da UNINOVAFAPI em 2021. Às variáveis estudadas aplicou-se o teste qui-quadrado, intervalo de confiança de 95%. RESULTADOS: A maioria da amostra (72%) era do sexo feminino, e 79,5% cogitaram submeter-se a procedimentos influenciados por anúncios. Mais mulheres (52%) compararam suas fotos nas redes (p=0,0005) e se sentem desconfortáveis em publicar fotos sem filtros (46%; p=0,0002) em comparação aos homens. CONCLUSÃO: O uso de mídias sociais se associa à maior probabilidade de estudantes de medicina, principalmente mulheres, submeterem-se a procedimentos estéticos, compararem-se com outras pessoas e se sentirem desconfortáveis sem filtro

TRANSTORNO DE ANSIEDADE GENERALIZADA: DO DIAGNÓSTICO AO TRATAMENTO

An integrative literature review is presented on generalized anxiety disorder, its clinical and epidemiological aspects, as well as the impact of this condition on the individual's life. Generalized Anxiety Disorder (GAD) is a neurological condition that can affect various activities or events in an individual's life, since the symptoms are usually excessive anxiety and worry that are disproportionate to the actual likelihood or impact of the anticipated event. These symptoms are difficult to control and cause suffering or impairment in social, professional or other areas of functioning. Diagnostic criteria are used to define the condition, which can coexist with other comorbidities. There is a need for a multidisciplinary team to intervene to improve patients' quality of life, as well as treatment aimed at the various aspects of this disorder.Apresenta-se uma revisão integrativa de literatura acerca do transtorno de ansiedade generalizada, seus aspectos clínicos, epidemiológicos, bem como o impacto dessa condição na vida do indivíduo. O Transtorno de Ansiedade Generalizada (TAG) é uma condição neurológica que pode atingir diversas atividades ou eventos da vida do indivíduo, uma vez que os sintomas costumam ser ansiedade e preocupação excessivas que são desproporcionais à probabilidade real ou ao impacto do evento antecipado. São sintomas difíceis de controlar e causam sofrimento ou prejuízo no funcionamento social, profissional ou em outras áreas. Utilizam-se critérios diagnósticos para definir o quadro, que pode coexistir com outras comorbidades. Há necessidade de uma equipe multidisciplinar para intervir na melhoria e na qualidade de vida dos pacientes, assim como um tratamento voltado para os vários aspectos que esse transtorno apresent

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

Complete genome sequence of the sugarcane nitrogen-fixing endophyte gluconacetobacter diazotrophicus PAL5

17 p. : il.Background: Gluconacetobacter diazotrophicus Pal5 is an endophytic diazotrophic bacterium that lives in association with sugarcane plants. It has important biotechnological features such as nitrogen fixation, plant growth promotion, sugar metabolism pathways, secretion of organic acids, synthesis of auxin and the occurrence of bacteriocins. Results: Gluconacetobacter diazotrophicus Pal5 is the third diazotrophic endophytic bacterium to be completely sequenced. Its genome is composed of a 3.9 Mb chromosome and 2 plasmids of 16.6 and 38.8 kb, respectively. We annotated 3,938 coding sequences which reveal several characteristics related to the endophytic lifestyle such as nitrogen fixation, plant growth promotion, sugar metabolism, transport systems, synthesis of auxin and the occurrence of bacteriocins. Genomic analysis identified a core component of 894 genes shared with phylogenetically related bacteria. Gene clusters for gum-like polysaccharide biosynthesis, tad pilus, quorum sensing, for modulation of plant growth by indole acetic acid and mechanisms involved in tolerance to acidic conditions were identified and may be related to the sugarcane endophytic and plant-growth promoting traits of G. diazotrophicus. An accessory component of at least 851 genes distributed in genome islands was identified, and was most likely acquired by horizontal gene transfer. This portion of the genome has likely contributed to adaptation to the plant habitat. Conclusion: The genome data offer an important resource of information that can be used to manipulate plant/bacterium interactions with the aim of improving sugarcane crop production and other biotechnological applications