Prevalencia del síndrome de burnout entre los anestesistas del Distrito Federal

Justificativa: a síndrome de burnout (queimar até a exaustão), consequência do estresse crônico, caracteriza-se por exaustão emocional, despersonalização e sentimento de baixa realização profissional. Acomete trabalhadores sob extrema responsabilidade ou que assistem indivíduos sob risco, incluindo anestesiologistas. Podem apresentar distanciamento em relação ao trabalho, pacientes e colegas, por sentirem-se mais seguros ao manter a indiferença. Objetivo: avaliar a prevalência da síndrome do esgotamento profissional, a intensidade de seus componentes e identificar características dos seus portadores entre anestesiologistas do Distrito Federal. Método: estudo transversal, com 241 anestesiologistas inscritos na Sociedade de Anestesiologia do Distrito Federal. Usou-se questionário autoaplicável que incluiu o Inventário de Burnout de Maslach, dados sociodemográficos, profissionais e de lazer. Resultados: dos 134 questionários respondidos (55,8%), foram predominantes os preenchidos por homens (65,6%), com faixa de 30 a 50 anos (67,9%). Foram encontrados níveis significativos de baixa realização profissional (47,7%), despersonalização (28,3%) e exaustão emocional (23,1%). A síndrome de burnout apresentou prevalência de 10,4%, ocorreu principalmente em homens (64,2%), na faixa de 30 a 50 anos (64,2%), com mais de dez anos de profissão (64,2%), com atuação em plantões noturnos (71,4%), sedentários (57,1%) e que não fazem cursos não relacionados à medicina (78,5%). Dos participantes, 50,7% apresentaram pelo menos um de três critérios para desenvolver a síndrome e apenas 8,2% têm baixo risco para sua manifestação. CONCLUSÃO: a prevalência da síndrome de burnout é relevante entre os anestesiologistas do Distrito Federal. É aconselhável buscar estratégias de reorganização laboral para diminuir fatores de estresse e perda da motivação e aumentar a satisfação no emprego.Background: burnout syndrome is a result of chronic stress, characterized by emotional exhaustion, depersonalization, and a sense of low professional accomplishment. It affects workers under extreme responsibility or those who care for individuals at risk, including anesthesiologists who distanced themselves from the work, patients and colleagues because they feel safer in maintaining indifference. Objective: to evaluate the prevalence of burnout syndrome and the intensity of its components and identify the characteristics of those with the syndrome among anesthesiologists in the Federal District. Method: a cross-sectional study was carried out with 241 anesthesiologists enrolled in the Society of Anesthesiology of the Federal District. A self-administered questionnaire was used, which included the Maslach Burnout Inventory, demographic, professional, and leisure data. Results: of the 134 completed questionnaires (55.8%), there was a predominance of male (65.6%), aged 30-50 years (67.9%). Significant lower levels of job satisfaction (47.7%), depersonalization (28.3%), and emotional exhaustion (23.1%) were found. Burnout syndrome showed a prevalence of 10.4%, occurring mainly in men (64.2%), aged 30-50 years (64.2%), with over 10 years of experience (64.2%), working in night shifts (71.4%), sedentary (57.1%), and not taking courses unrelated to medicine (78.5%). Of the participants, 50.7% had at least one of the three criteria to develop the syndrome and only 8.2% have a low risk to manifest it. CONCLUSION: The prevalence of burnout is relevant among anesthesiologists in the Federal District. It is advisable to seek strategies for labor restructuring to reduce stress factors and loss of motivation and increase job satisfaction.Justificación: el síndrome de burnout (quemarse hasta la saciedad), consecuencia del estrés crónico, se caracteriza por agotamiento emocional, despersonalización y sentimiento de baja satisfacción profesional. Afecta a trabajadores bajo extrema responsabilidad o que ayudan a individuos que están en situación de riesgo, incluyendo a los anestesistas. Pueden presentar un distanciamiento con relación al trabajo, pacientes y colegas, al sentirse más seguros con el mantenimiento de la indiferencia. Objetivo: evaluar la prevalencia del síndrome del burnout, la intensidad de sus componentes e identificar las características de sus portadores entre los anestesistas del Distrito Federal. Método: estudio transversal, con 241 anestesistas registrados en la Sociedad de Anestesiología del Distrito Federal. Usamos un cuestionario autoadministrado que incluyó el Inventario de Burnout de Maslach, datos sociodemográficos, profesionales y de ocio. Resultados: de los 134 cuestionarios respondidos (55,8%) predominaron los que fueron rellenados por hombres (65,6%), con una franja etaria de 30-50 años (67,9%). Fueron encontrados niveles significativos de baja satisfacción profesional (47,7%), despersonalización (28,3%) y agotamiento emocional (23,1%). El síndrome de burnout presentó una prevalencia de un 10,4%, ocurrió principalmente en los hombres (64,2%), en la franja etaria de 30-50 años (64,2%), con más de 10 años de profesión (64,2%), que trabajaban haciendo guardias nocturnas (71,4%), sedentarios (57,1%) y que no hacen cursos no relacionados con la medicina (78,5%). De los participantes, un 50,7% tuvieron por lo menos uno de los 3 criterios existentes para desarrollar el síndrome y solamente un 8,2% presentó un bajo riesgo para su manifestación. Conclusión: la prevalencia del síndrome de burnout es relevante entre los anestesistas del Distrito Federal. Se aconseja buscar estrategias de reorganización laboral para disminuir los factores de estrés y la pérdida de la motivación, aumentando así la satisfacción en el trabajo

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

Prevalence of burnout syndrome among anesthesiologists in the Federal District

BACKGROUND: Burnout syndrome is a result of chronic stress, characterized by emotional exhaustion, depersonalization, and a sense of low professional accomplishment. It affects workers under extreme responsibility or those who care for individuals at risk, including anesthesiologists who distanced themselves from the work, patients and colleagues because they feel safer in maintaining indifference. OBJECTIVE: To evaluate the prevalence of burnout syndrome and the intensity of its components and identify the characteristics of those with the syndrome among anesthesiologists in the Federal District. METHOD: A cross-sectional study was carried out with 241 anesthesiologists enrolled in the Society of Anesthesiology of the Federal District. A self-administered questionnaire was used, which included the Maslach Burnout Inventory, demographic, professional, and leisure data. RESULTS: Of the 134 completed questionnaires (55.8%), there was a predominance of male (65.6%), aged 30-50 years (67.9%). Significant lower levels of job satisfaction (47.7%), depersonalization (28.3%), and emotional exhaustion (23.1%) were found. Burnout syndrome showed a prevalence of 10.4%, occurring mainly in men (64.2%), aged 30-50 years (64.2%), with over 10 years of experience (64.2%), working in night shifts (71.4%), sedentary (57.1%), and not taking courses unrelated to medicine (78.5%). Of the participants, 50.7% had at least one of the three criteria to develop the syndrome and only 8.2% have a low risk to manifest it. CONCLUSION: The prevalence of burnout is relevant among anesthesiologists in the Federal District. It is advisable to seek strategies for labor restructuring to reduce stress factors and loss of motivation and increase job satisfaction

Exposição humana a trialometanos presentes em água tratada Human exposure to trihalomethanes in drinking water

Realizou-se uma revisão bibliográfica do período de 1974-1998, no MEDLINE, sobre compostos orgânicos halogenados derivados de hidrocarbonetos denominados de trialometanos. Muitos deles, reconhecidamente carcinogênicos para diferentes espécies animais, podem ser encontrados freqüentemente, inclusive entre nós, em águas tratadas e enviadas à população urbana. É o caso de compostos como o clorofórmio, bromodiclorometano, clorodibromometano e bromofórmio, resultantes da halogenação de precursores, principalmente substâncias húmicas e fúlvicas presentes na água que será tratada (clorada). Assim, descreve-se sua formação, fontes de exposição humana bem como os aspectos toxicológicos de maior importância: disposição cinética e espectro dos efeitos tóxicos (carcinogênicos, mutagênicos e teratogênicos) decorrentes de exposições a longo prazo e baixas concentrações. Níveis seguros de exposição propostos são também fornecidos.<br>Halogenated hydrocarbon compounds, some of them recognized as carcinogenic to different animal species can be found in drinking water. Chloroform, bromodichloromethane, dibromochloromethane and bromoform are the most important trihalomethanes found in potable water. They are produced in natural waters during chlorinated desinfection by the halogenation of precursors, specially humic and fulvic compounds. The review, in the MEDLINE covers the period from 1974 to 1998, presents the general aspects of the formation of trihalomethanes, sources of human exposure and their toxicological meaning for exposed organisms: toxicokinetic disposition and spectrum of toxic effects (carcinogenic, mutagenic and teratogenic)