SÍNDROME DE BURNOUT EM PROFISSIONAIS DE SAUÏDE DURANTE A PANDEMIA DO SARS-CoV-2

Este estudo é uma revisão narrativa de literatura, a qual teve como objetivo analisar as variáveis relacionadas ao desenvolvimento da Síndrome de Burnout (SB) em profissionais da saúde durante a pandemia pelo vírus SARS-CoV-2. O perfil epidemiológico mais associado à SB é composto por mulheres, jovens, ou com filhos dependentes, em relação conjugal e enfermeiros. Ao fim deste trabalho, conclui-se que suporte das instituições de saúde, entidades governamentais e não-governamentais é imprescindível às demandas psicológicas/ psiquiátricas dos profissionais da saúde, haja vista que a manutenção da qualidade de vida dos trabalhadores está correlacionada com o bom funcionamento dos serviços de saúde

Chronic kidney patients in hemodialysis: a study on the mode of psychosocial theory of Roy

Objective: To identify the adaptive problems of the psychosocial mode of the Roy model in chronic kidney patients on hemodialysis. Methods: Cross-sectional study with 178 patients from a dialysis center in the northeast of Brazil. Results: Three adaptive problems were identified, two of the self-concept: sexual dysfunction and low self-esteem; and one of the paper performance mode: paper failure. CONCLUSIONS: Adaptive flaws in the role, sexual dysfunction and low self-esteem refer to the presence of a conical disease and an invasive treatment, since these conditions directly affect the individual's lifestyle

RISK FACTORS ASSOCIATED WITH SUICIDE IN DOLESCENCE: INTEGRACTIVE REVIEW FROM 2004 TO 2019

Introdução: O suicídio na adolescência constitui-se num importante problema de saúde pública mundial e, é desencadeado por diversos fatores socioeconômicos e culturais. Trata-se de uma doença incapacitante visto que são graves e negativos os impactos psicossociais que decorrem das tentativas de suicídio tanto para o indivíduo, quanto para seus familiares. O estudo objetiva descrever os principais fatores de risco associados ao suicídio na adolescência, presentes na literatura. Método: É um estudo de revisão integrativa realizado a partir de dados secundários obtidos, por meio de busca de artigos no período de 2004 a 2019, acessando as bases de dados Scientific Electronic Library Online (SCIELO), Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS), Cochrane Library, Web of Science, PubMed. Resultados e discussão: A maioria dos estudos apontam que as mu¬lheres estão mais propensas à ideação suicida e os homens, à prática do ato suicida. Os principais estudos sobre o tema indicam a depressão como sendo o principal fator de gatilho que impulsiona uma mudança de ideação suicida para um intento suicida. Pesquisas sugerem que a automutilação não suicida é um preditor robusto de futuras tentativas de suicídio; no entanto, automutilação não-suicida raramente tem sido considerada dentro de uma estrutura de ideação para ação. Abuso de substâncias psicoativas e, problemas nos núcleos familiar e escolar configuram fortes preditores de comportamento suicida entre os adolescentes. Conclusão: O suicídio é um fenômeno complexo que traz consequências negativas não só para família da vítima, mas também para o meio social no qual o adolescente está inserido. As adversidades da infância (especialmente as violências físicas e abusos sexuais) são poderosos indicadores do início e persistência de comportamentos suicidas. Logo, a escola, principal local em que adolescente convive, tem papel estratégico para a promoção e proteção da saúde dos alunos em conjunto com ações governamentais de apoio à prevenção do suicídio.    Palavras-chave: autolesão não suicida; Suicídio; Tentativas de suicídio; Adolescência, fatores para suicídio. ABSTRACT Introduction: The suicide in the adolescence consist in an important problem of world public health, and is triggered by several socioeconomic and cultural factors. It is an incapacitating disease since the psychosocial impacts resulting from suicide attempts are serious and negative. This study aims to describe the main risk factors associated with suicide in adolescence, present in the literature. Method: This is an integrative review study based on secondary data obtained through the search of articles from 2004 to 2019, by accessing the Scientific Electronic Library Online (SCIELO), Latin American and Caribbean Literature databases Health Sciences (LILACS), Cochrane Library, Web of Science, PubMed. Results and discussion: Most studies indicate that women are more prone to suicidal ideation and men suicidal acts. Major studies on the subject indicate that depression is the main trigger factor that drives a shift from suicidal ideation to a suicidal attempt. Research suggests that non-suicidal self-mutilation is a robust predictor of future suicide attempts; however, non-suicidal self-mutilation has rarely been considered within a framework of ideation for action. Abuse of psychoactive substance and problems in the family and school nuclei are strong predictors of suicidal behavior among adolescents. Conclusion: Suicide is a complex phenomenon that has negative consequences not only for the victim’s family but also for the social environment in which the adolescent is inserted. The adversities of childhood (especially physical violence and sexual abuse) are powerful indicators of the onset and persistence of suicidal behavior. Therefore, the school, the main place where adolescents live, plays a strategic role in promoting and protecting students’ health in conjunction with government actions to support suicide prevention. Key-words: non suicide self-injury; Suicide; Suicide attempts; Adolescence, factors for suicide.ABSTRACT Introduction: The suicide in the adolescence consist in an important problem of world public health, and is triggered by several socioeconomic and cultural factors. It is an incapacitating disease since the psychosocial impacts resulting from suicide attempts are serious and negative. This study aims to describe the main risk factors associated with suicide in adolescence, present in the literature. Method: This is an integrative review study based on secondary data obtained through the search of articles from 2004 to 2019, by accessing the Scientific Electronic Library Online (SCIELO), Latin American and Caribbean Literature databases Health Sciences (LILACS), Cochrane Library, Web of Science, PubMed. Results and discussion: Most studies indicate that women are more prone to suicidal ideation and men suicidal acts. Major studies on the subject indicate that depression is the main trigger factor that drives a shift from suicidal ideation to a suicidal attempt. Research suggests that non-suicidal self-mutilation is a robust predictor of future suicide attempts; however, non-suicidal self-mutilation has rarely been considered within a framework of ideation for action. Abuse of psychoactive substance and problems in the family and school nuclei are strong predictors of suicidal behavior among adolescents. Conclusion: Suicide is a complex phenomenon that has negative consequences not only for the victim’s family but also for the social environment in which the adolescent is inserted. The adversities of childhood (especially physical violence and sexual abuse) are powerful indicators of the onset and persistence of suicidal behavior. Therefore, the school, the main place where adolescents live, plays a strategic role in promoting and protecting students’ health in conjunction with government actions to support suicide prevention. Keywords: non suicide self-injury; Suicide; Suicide attempts; Adolescence, factors for suicide&nbsp

ASPECTOS EPIDEMIOLÓGICOS DA LEISHMANIOSE VISCERAL NO ESTADO DO TOCANTINS NO PERÍODO DE 2007 A 2017

Introdução: A Leishmaniose Visceral (LV) é uma doença tratável e curável, considerada uma Doença Tropical Negligenciada pela OMA. Atinge principalmente as camadas mais vulneráveis da população e apresenta uma mudança no seu padrão de transmissão, passando a acometer zonas urbanas, como a capital do estado do Tocantins, Palmas. O estudo objetiva identificar dados epidemiológicos da doença no Tocantins, os comparando com os dados nacionais. Método: É um estudo epidemiológico realizado a partir de dados secundários obtidos através do Sistema Nacional de Informação de Agravos de Notificação e no Sistema de Informação sobre Mortalidade no intervalo de janeiro de 2007 a dezembro de 2017.  Resultados: No período de abrangência, 3658 casos de LV foram diagnosticados, alcançando incidência máxima de 34,6 casos por 100.000 habitantes no ano de 2011. O estado manteve taxas de letalidade abaixo das médias nacionais nesse período, com exceção do ano de 2010. É uma doença mais comum no sexo masculino, raça parda e em pessoas de escolaridade até o ensino fundamental incompleto. Discussão: Na última década, o Tocantins apresentou níveis de incidência até 1730% maiores que a taxa nacional, demonstrando a histórica associação da doença com a parcela da população em situação de pobreza. Dos diagnosticados, 3,5% apresentavam infecção pelo HIV. As taxas de letalidade têm demonstrado ascensão gradativa Conclusão: No Tocantins, a LV mantém principal incidência na população pediátrica na faixa de 1 a 4 anos e na população adulta na faixa de 20 a 39 anos. Em mortalidade, são mais acometidos os menores de 1 ano e os que se encontram entre 40 e 59 anos. Devido aos preocupantes números apresentados, medidas devem ser tomadas para que haja controle dessa zoonose na população tocantinense.   Palavras-chave: Leishmaniose Visceral; Doenças Negligenciadas; Medicina Tropical; Epidemiologia; Sistemas de Informação. ABSTRACT Introduction: Visceral Leishmaniasis (LV) is a treatable and curable disease, considered a Tropical Disease Neglected by AOM. It reaches mainly the most vulnerable sections of the population and presents a change in its transmission pattern, starting to hit urban areas, such as the state capital of Tocantins, Palmas. This study aims to identify epidemiological data on the disease in Tocantins, comparing it with national data. Method: This is an epidemiological study based on secondary data obtained through the National Information System for Notifiable Diseases and in the Mortality Information System from January 2007 to December 2017. Results: During the study period, 3658 cases of LV were diagnosed, reaching a maximum incidence of 34.6 cases per 100,000 inhabitants in 2011. The state maintained lethality rates below national averages in this period, except for the year 2010. It is a more common disease in males, brown race and in people of schooling until elementary school incomplete. Discussion: In the last decade, Tocantins presented levels of incidence up to 1730% higher than the national rate, demonstrating the historical association of the disease with the portion of the population living in poverty. Of those diagnosed, 3.5% had HIV infection. Conclusion: In Tocantins, LV maintains a main incidence in the pediatric population in the range of 1 to 4 years and in the adult population in the range of 20 to 39 years. In mortality, those under the age of 1 are more affected and those between 40 and 59 years old. Due to the worrying figures presented, measures must be taken to control this zoonosis in the population of Tocantinss. Keywords: Leishmaniasis, Visceral; Neglected Diseases; Tropical Medicine; Epidemiology; Information Systems

PAPEL DA INTELIGÊNCIA ARTIFICIAL NA PREDIÇÃO DE EVENTOS CARDÍACOS

Artificial Intelligence (AI) plays a crucial role in predicting cardiac events, offering advanced analytical tools to evaluate medical data. By processing large sets of information, AI identifies subtle patterns, enabling early detection of potential heart risks. This innovative approach not only improves diagnostic accuracy but also contributes to more effective preventive interventions by promoting proactive management of cardiovascular health. Objectives: Explore the crucial role played by artificial intelligence in predicting cardiac events. Methodology: Data collection was conducted through the following databases: Nursing Database (BDENF), Scientific Electronic Library Online (SCIELO), PubMed, Latin American Caribbean Literature in Health Sciences (LILACS). Various types of publications were consulted, including scientific articles, monographs and magazines, with the aim of obtaining relevant information on the topic. Results and Discussions: The effectiveness of Artificial Intelligence in predicting cardiac events, demonstrating remarkable accuracy rates and an ability to identify complex patterns in medical data. This approach offers a promising prospect for improving the prevention and management of cardiac conditions. In the discussion, it is relevant to consider potential challenges, such as clinical interpretation of results and the continued need for large-scale validation. The integration of AI into clinical practice suggests significant advances, but ethical and regulatory issues also deserve attention to ensure the responsible implementation of this technology. Conclusion: In summary, the use of Artificial Intelligence in predicting cardiac events demonstrates promising effectiveness, providing valuable insights for medical practice. While the results are encouraging, it is imperative to continue refining and validating these approaches while carefully considering ethical and regulatory aspects. The potential positive impact of AI on cardiovascular health is evident, pointing to significant developments in the prevention and treatment of heart conditions.A Inteligência Artificial (IA) desempenha um papel crucial na predição de eventos cardíacos, oferecendo avançadas ferramentas analíticas para avaliar dados médicos. Ao processar grandes conjuntos de informações, a IA identifica padrões sutis, permitindo uma detecção precoce de potenciais riscos cardíacos. Esta abordagem inovadora não apenas aprimora a precisão diagnóstica, mas também contribui para intervenções preventivas mais eficazes, promovendo uma gestão proativa da saúde cardiovascular. Objetivos: Explorar o papel crucial desempenhado pela inteligência artificial na predição de eventos cardíacos. Materiais e Métodos: A coleta de dados foi conduzida por meio dos bancos de dados: Base de Dados em Enfermagem (BDENF), Scientific Electronic Library Online (SCIELO), PubMed, Literatura Latino-Americana do Caribe em Ciências da Saúde (LILACS). Foram consultados diversos tipos de publicações, incluindo artigos científicos, monografias e revistas, com o objetivo de obter informações relevantes sobre o tema. Resultados e Discussões: A eficácia da Inteligência Artificial na predição de eventos cardíacos, evidenciando taxas de acertos notáveis e uma capacidade de identificar padrões complexos nos dados médicos. Essa abordagem oferece uma perspectiva promissora para melhorar a prevenção e o gerenciamento de condições cardíacas. Na discussão, é relevante considerar desafios potenciais, como a interpretação clínica dos resultados e a necessidade contínua de validação em larga escala. A integração da IA na prática clínica sugere avanços significativos, mas questões éticas e regulatórias também merecem atenção para garantir a implementação responsável dessa tecnologia. Conclusão: Em resumo, a utilização da Inteligência Artificial na predição de eventos cardíacos demonstra promissora eficácia, proporcionando insights valiosos para a prática médica. Embora os resultados sejam encorajadores, é imperativo continuar refinando e validando essas abordagens, considerando cuidadosamente os aspectos éticos e regulatórios. O potencial impacto positivo da IA na saúde cardiovascular é evidente, apontando para uma evolução significativa na prevenção e no tratamento de condições cardíacas

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

Chronic kidney patients in hemodialysis: a study on the mode of psychosocial theory of Roy

Objetivo: Identificar os problemas adaptativos do modo psicossocial do modelo de Roy em pacientes renais crônicos em hemodiálise. Métodos: Estudo do tipo transversal, realizado com 178 pacientes de um centro de diálise do nordeste do Brasil. Resultados: Foram identificados três problemas adaptativos, sendo dois do modo de autoconceito: disfunção sexual e baixa autoestima; e um do modo de desempenho de papel: falha no papel. Conclusões: Os problemas adaptativos falha no papel, disfunção sexual e baixa autoestima se remetem à presença de uma doença cônica e a um tratamento invasivo, uma vez que essas condições afetam diretamente no estilo de vida do indivíduo. Descritores: Teoria de enfermagem; Diálise renal; Insuficiência renal crônica