32 research outputs found

    Avaluació de l’execució motora en nens brasilers en edat escolar

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    Artigo disponĂ­vel em espanhol e catalĂŁoSe ha evaluado mediante la baterĂ­a de Tests Motores de Lincoln-Oseretsky la ejecuciĂłn motora en un grupo de 1.232 estudiantes de edades comprendidas entre 5 y 16 años provenientes del sistema de enseñanza del municipio de AracajĂș (Brasil). Los resultados obtenidos ponen de manifiesto una progresiĂłn en el desarrollo de las capacidades motoras, aunque con diferencias de gĂ©nero debidas tanto a factores biolĂłgicos como de carĂĄcter ambiental. Por otra parte, la edad motora resulta significativamente inferior a la edad cronolĂłgica en todas las franjas de edad estudiadas, siendo tambiĂ©n inferior a la edad motora de una muestra equivalente de escolares europeos. Este hecho podrĂ­a atribuirse, al menos parcialmente, a la ausencia de experiencias motoras suficientemente enriquecedoras tanto en el ambiente familiar como en el entorno escolar._________________________________________________________________________________________ ABSTRACT: Motor performance was evaluated by the Lincoln-Oseretsky Motor Development Scale in a group of 1.232 students, aged 5 to 16 years, from the public school system in AracajĂș (Brasil). Results obtained demonstrate the existence of a progression in the development of motor capacities, with gender differences attributable both to biological and environmental factors. Motor age was significantly lower than chronological age in the whole range of ages studied, being also lower to the motor age of an equivalent sample of European children. This could be, at least partially, a consequence of a lack of enough enriching motor experiences both in the familiar and school environment._________________________________________________________________________________________ RESUM: S’ha avaluat, mitjançant la bateria de Tests Motors de Lincoln-Oseretsky, l’execuciĂł motora en un grup de 1.232 estudiants d’edats compreses entre 5 i 16 anys, provinents del sistema d’ensenyament del municipi d’AracajĂș (Brasil). Els resultats obtinguts posen de manifest una progressiĂł en el desenvolupament de les capacitats motores, encara que amb diferĂšncies de gĂšnere degudes tant a factors biolĂČgics com de carĂ cter ambiental. D’altra banda, l’edat motora resulta significativament inferior a l’edat cronolĂČgica en totes les franges d’edat estudiades, i Ă©s tambĂ© inferior a l’edat motora d’una mostra equivalent d’escolars europeus. Aquest fet podria atribuir-se, almenys parcialment, a l’absĂšncia d’experiĂšncies motores prou enriquidores, tant en l’ambient familiar com en l’entorn escolar

    Dupla tarefa na doença de Parkinson: uma revisão de literatura / Dual tasks in Parkinson’s disease: a literature review

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    A Doença de Parkinson (DP) consiste em um transtorno neurodegenerativo crĂŽnico, causado pela degeneração de neurĂŽnios que sintetizam o neurotransmissor dopamina na regiĂŁo do cĂ©rebro denominada de nĂșcleos da base, na ĂĄrea mais conhecida como substĂąncia negra, resultando na redução da quantidade de dopamina na regiĂŁo do corpo estriado, outra ĂĄrea cerebral.  O objetivo do presente trabalho consistiu em observar, atravĂ©s de uma revisĂŁo de literatura, os efeitos e os benefĂ­cios da dupla tarefa na doença de Parkinson. O formato escolhido foi o bases de dados SciELO (Scientific Electronic Library Online), Lilacs (Literatura Latino-Americana e do Caribe em CiĂȘncias da SaĂșde) e PEDro (Bade de Dados em EvidĂȘncias em Fisioterapia)., de uma revisĂŁo da literatura, com artigos dos Ășltimos cinco anos provenientes das nos idiomas portuguĂȘs, espanhol e inglĂȘs com ĂȘnfase nos seguintes descritores: Dupla Tarefa; Parkinson; Reabilitação; Fisioterapia. Os resultados destacaram melhorias em torno dos sintomas cognitivos e motores, favorecendo o equilĂ­brio, a marcha, desenvolvimento de habilidades de automatização, transferĂȘncia de aprendizado, tempo de caminhada, diminuição do fenĂŽmeno de congelamento e atenuando significativamente o risco de quedas, de maneira que o paciente da DP tenha melhorias significativas acerca de sua qualidade de vida. Com o advento da fisioterapia no enfrentamento da Doença de Parkinson, as abordagens terapĂȘuticas com ĂȘnfase na dupla tarefa contribuem de forma Ă­mpar na reabilitação desses indivĂ­duos

    VigilĂąncia do cĂąncer em Mato Grosso: aspectos metodolĂłgicos e operacionais de um projeto de extensĂŁo/pesquisa

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    Objective: To describe the methodological and operational aspects of the Cancer Surveillance Project and its associated factors: population-based and hospital-based registry (VIGICAN), in Mato Grosso (MT). Methods: VIGICAN was divided into two projects: an extension one, which updated the data from the Population-Based Cancer Registry (RCBP) of MT in the period 2008 to 2016; and one of research, which collected primary data, through individual interviews and analysis of medical records of people with a diagnosis of cancer, aged 18 years or over, treated at reference hospitals for oncology. To analyze the factors associated with cancer, the following variables were collected: socioeconomic and demographic, social support, status and health behavior, and environmental exposure. Results: In the perĂ­od from 2008 to 2016, approximately one hundred thousand cases of cancer (incident and prevalent) were reported in the RCBP CuiabĂĄ and Interior. After validation procedures, fifty thousand incident cases were chosen. The survey interviewed 1,012 patients, 38.2% living in the municipalities of CuiabĂĄ and VĂĄrzea Grande, 60.4% in the interior of the state and 1.4% in other states. Preliminary data revealed that the majority were female (55.0%) and younger than 60 years (54.3%). Among those interviewed, 7.2% reported smoking tobacco, 15.5% consumed alcoholic beverages (15.5%) and 32.7% lived close to crops. Conclusion: The development of these projects allowed the integration of education with health services and will enable the recognition of specificities and different exposure scenarios and factors associated with cancer in the Mato Grosso territory.Objetivo: Descrever os aspectos metodolĂłgicos e operacionais do Projeto VigilĂąncia do CĂąncer e seus fatores associados: registro de base populacional e hospitalar (VIGICAN), em Mato Grosso (MT). MĂ©todos: O VIGICAN se desdobrou em dois projetos: um de extensĂŁo, que atualizou os dados dos Registros de CĂąncer de Base Populacional (RCBP) de MT no perĂ­odo de 2008 a 2016; e um de pesquisa, que coletou dados primĂĄrios, por meio de entrevistas individuais e anĂĄlise de prontuĂĄrios de pessoas com diagnĂłstico de cĂąncer, com 18 anos ou mais, atendidas em hospitais de referĂȘncia para oncologia. Para analisar os fatores associados ao cĂąncer, foram coletadas as seguintes variĂĄveis: socioeconĂŽmicas e demogrĂĄficas, suporte social, situação e comportamentos de saĂșde e exposição ambiental. Resultados: No perĂ­odo de 2008 a 2016, foram notificados nos RCBP CuiabĂĄ e Interior, aproximadamente, 100 mil casos de cĂąncer (incidentes e prevalentes). ApĂłs procedimentos de validação, foram eleitos 50 mil casos incidentes. A pesquisa entrevistou 1.012 pacientes, sendo 38,2% residentes nos municĂ­pios de CuiabĂĄ e VĂĄrzea Grande, 60,4% no interior do estado e 1,4% em outros estados. Os dados preliminares revelaram que a maioria era do sexo feminino (55,0%) e tinha menos de 60 anos (54,3%). Entre os entrevistados, 7,2% relataram fumar tabaco, 15,5% consumiam bebidas alcoĂłlicas (15,5%) e 32,7% moravam prĂłximos a lavouras. ConclusĂŁo: O desenvolvimento desses projetos permitiu a integração do ensino com os serviços de saĂșde e possibilitarĂĄ o reconhecimento das especificidades e diferentes cenĂĄrios de exposição e fatores associados ao cĂąncer do territĂłrio mato-grossense

    Pervasive gaps in Amazonian ecological research

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    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

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    Em prol do sacrifĂ­cio do isolamento: lepra e filantropia na Argentina e no Brasil, 1930-1946

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    Pervasive gaps in Amazonian ecological research

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    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

    Get PDF
    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
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