LÚPUS: espiritualidade e qualidade de vida

Systemic Lupus Erythematosus (SLE) is a chronic inflammatory disease of the connective tissue, of unknown etiology. Patients can present changes in several important systems, which compromises the quality of life with the evolution of the disease. The main objective of the study was to know the quality of life of patients diagnosed with systemic lupus erythematosus (SLE) and to relate it to the practice of spirituality. The study is a prospective cross-sectional, epidemiological, observational and descriptive study in which 30 participants were included, diagnosed with SLE according to the criteria of the American College of Rheumatology. The instruments used were: medical records, Quality of Life Inventory [WHOQOL-SRPB] and Quality of Life Inventory in short [WHOQOL-breve]. The analysis of standardized instruments was carried out according to the criteria already established by each of them. The data found indicated that patients involved in actions in the field of spirituality have a better quality of life, even with the diagnosis of a chronic disease and the limitations and discomfort it causes.El lupus eritematoso sistémico (LES) es una enfermedad inflamatoria crónica del tejido conectivo, de etiología desconocida. Los pacientes pueden presentar cambios en varios sistemas importantes, lo que compromete la calidad de vida con la evolución de la enfermedad. El objetivo principal del estudio fue conocer la calidad de vida de los pacientes diagnosticados con lupus eritematoso sistémico (LES) y relacionarlo con la práctica de la espiritualidad. El estudio es un estudio prospectivo, transversal, epidemiológico, observacional y descriptivo en el que se incluyeron 30 participantes, diagnosticados con LES de acuerdo con los criterios del American College of Rheumatology. Los instrumentos utilizados fueron: registros médicos, Inventario de calidad de vida [WHOQOL-SRPB] e Inventario de calidad de vida en resumen [WHOQOL-breve]. El análisis de los instrumentos estandarizados se realizó según los criterios ya establecidos por cada uno de ellos. Los datos encontrados indican que los pacientes involucrados en acciones en el campo de la espiritualidad tienen una mejor calidad de vida, incluso con el diagnóstico de una enfermedad crónica y las limitaciones y molestias que causa.O Lúpus Eritematoso Sistêmico (LES) é uma doença inflamatória crônica do tecido conjuntivo, de etiologia desconhecida. Os pacientes podem apresentar alterações em vários sistemas importantes, que compromete a qualidade de vida com a evolução da doença. O objetivo principal do estudo foi conhecer a qualidade de vida de pacientes com diagnóstico de lúpus eritematoso sistêmico (LES) e relacionar com a prática da espiritualidade. O estudo é prospectivo do tipo transversal, epidemiológico, observacional e descritivo onde foram incluídos 30 participantes, com diagnóstico de LES segundo os critérios do Colégio Americano de Reumatologia. Os instrumentos usados foram: prontuários, Inventário de Qualidade de Vida [WHOQOL-SRPB] e Inventário de Qualidade de Vida versão abreviada [WHOQOL-breve]. A análise dos instrumentos padronizados foi realizada de acordo com os critérios já estabelecidos por cada um deles. Os dados encontrados indicaram que os pacientes envolvidos em ações do campo da espiritualidade apresentam melhor qualidade de vida, mesmo com o diagnóstico de uma doença crônica e as limitações e desconfortos que ela causa.&nbsp

Efeitos psicossociais da gravidez na adolescência: um estudo transversal / Psychosocial effects of pregnancy in adolescence: a cross-section study

OBJETIVO: O presente estudo tem como objetivo identificar os efeitos psicossociais da gestação precoce entre as adolescentes cadastradas em uma Unidade de Saúde da Família de Belém do Pará. MÉTODO: Caracteriza-se como um estudo transversal, observacional e unicêntrico, envolvendo 30 que engravidaram com idade entre 10 e 19 anos.O protocolo de pesquisa refere-se a um questionário desenvolvido pelos pesquisadores contendo 21 questões de múltipla escolha que abordaram o perfil sociodemográfico, bem como as consequências psicossociais, conhecimento sobre os métodos contraceptivos e principais sentimentos decorrentes da gravidez. Para a análise estatística foram utilizados os Testes Qui-quadrado, Qui-quadrado de Pearson para associação e T-Student, com p<0,05. Os dados foram registrados no Pacote Offive 2010 e processados no sistema StatisticPackage for Social Sciences (SPSS) versão 22.0, todos em ambiente Windows 7. RESULTADOS: A média das idades das jovens adolescentes foi de 16,3 anos (DP=1,46). No tocante às repercussões sociais, identificou-se uma elevada taxa de evasão escolar (90%) e de permanência no mercado de trabalho (70%). No que se refere às consequências psicológicas, a preocupação quanto ao seu futuro (73,33%) e ao futuro da criança (60%), bem como a ansiedade (73,33%) foram os principais sentimentos referidos pelas jovens. Pôde-se ainda avaliar quanto a educação sexual e reprodutiva percebe-se que ainda é abordada de modo incipiente pela escola (26,67%). CONCLUSÃO: Conclui-se que as repercussões resultantes da gravidez precoce são muito impactantes, de forma positiva ou negativa, para o desenvolvimento psicossocial da mulher, podendo ser determinantes para as suas vidas.

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