17 research outputs found

    Fibromyalgia: is there association between balance and pain? a pilot study

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    O estudo das quedas e déficit de equilíbrio tem privilegiado os idosos e pessoas portadoras de dor musculoesquelética. Apesar de a fibromialgia apresentar fatores intrínsecos que podem estar associados às quedas (dor, depressão, fadiga), poucos tem estudado equilíbrio e quedas nesta síndrome. O objetivo deste estudo foi verificar a associação entre equilíbrio, autoconfiança no equilíbrio e dor em mulheres com e sem fibromialgia e verificar a associação entre as escalas: escala de equilíbrio de Berg e Activities-specific Balance Confidence scale (escala ABC). Participaram do estudo 48 mulheres entre 40-59 anos, sendo 22 com fibromialgia (GF) e 26 assintomáticas que constituíram o grupo controle (GC). O equilíbrio foi avaliado através da "Berg Balance Scale" (escala Berg), a auto confiança no equilíbrio pela "Activities-specific Balance Confidence scale" (escala ABC) e a dor pela Escala Visual Analógica (EVA). A média dos escores para dor, escala de Berg e ABC foram respectivamente 5,4 cm (DP 2,6), 55 (IQ 54-56) e 54.6 (DP 26,6) para o grupo Fibromialgia e zero cm, 56 (IQ 55-56) e 89.4 (DP 14,4) respectivamente para o grupo Controle. Os resultados das escalas de equilíbrio mostraram diferença estatisticamente significativa entre os grupos (p=0,000 para Berg e 0,009 para escala ABC) com valores menores para o grupo Fibromialgia. Houve correlação negativa entre dor e escala de Berg (r=-0,48, p=0,020) e escala ABC (rs=-0,56, p=0,006) no grupo Fibromialgia. Houve correlação entre as escalas somente no GF (rs=0,55, p=0,007). Existe associação entre falta de equilíbrio e dor e entre falta de equilíbrio e auto confiança no equilíbrio em mulheres com fibromialgia. Existe uma associação entre as escalas no grupo Fibromialgia.El estudio de las caídas y déficit de equilibrio ha privilegiado a los mayores y las personas portadoras de dolor musculoesquelético. Aunque la fibromialgia presente factores intrínsecos que pueden estar asociados con las caídas (el dolor, la depresión, la fatiga), pocos han estudiado el equilibrio y la caída en este síndrome. El objetivo de este estudio fue verificar la asociación entre el equilibriol, la autoconfianza en el equilibrio y el dolor en mujeres con y sin fibromialgia y verificar la asociación entre las escalas: de equilibrio de Berg y la Activities-specific Balance Confidence scale (escala ABC). Participaron del estudio 48 mujeres con edades entre 40-59 años, siendo 22 con fibromialgia (GF) y 26 asintomáticas que constituyeron el grupo de control (GC). Se ha evaluado el equilibrio a través de la "Berg Balance Scale" (escala de Berg), la autoconfianza en el equilibrio por la "Activities-specific Balance Confidence scale (escala ABC)" y el dolor por la Escala Visual Analógica (EVA). El promedio de las puntuaciones de dolor, escala Berg y ABC fueron respectivamente 5.4cm (DE 2.6), 55 (IQ 54-56) y 54.6 (DE 26.6) para el grupo Fibromialgia y cero cm, 56 (IQ 55-56 ) y 89.4 (DE 14.4 ) respectivamente para el grupo de control. Los resultados de las escalas de equilibrio mostraron diferencia estadísticamente significativa entre los grupos (p = 0. 000 para Berg y 0. 009 para la escala ABC) con valores menores para el grupo Fibromialgia. Hubo una correlación negativa entre el dolor y la escala de Berg (rs=-0,48, p=0,020) y la escala ABC (rs=-0,56, p=0,006) en el grupo Fibromialgia. Hubo una correlación entre las escalas sólo en el GF (rs=0.55, p=0,007). Existe una asociación entre la falta de equilibrio y el dolor y entre la falta de equilibrio y autoconfianza en el equilibrio en mujeres con fibromialgia. Existe una asociación entre las escalas del grupo Fibromialgia.Studies of balance and risk factors for falling typically focus on the elderly population or on individuals with musculoskeletal pain. Although fibromyalgia is associated with intrinsic factors that predispose to falls (pain, depression, fatigue), few studies have researched balance and falls in this syndrome. The aim of this study was to verify the association between balance, balance self-efficacy and pain in women with and without fibromyalgia, and verify the association between Berg Balance Scale and Activities-specific Balance Confidence Scale (ABC Scale). The sample consisted of 48 women aged between 40 and 59 years, divided into two groups: Fibromyalgia group (n=22) and Control group (n=26) with asymptomatic people. Balance was assessed by Berg Balance Scale, balance self-efficacy by the ABC Scale and pain by the visual analog scale. Mean scores for pain, Berg and ABC Scale were 5.4 cm (SD 2.6), 55 (interquartile range 54-56), and 54.6 (SD 26.6) respectively for Fibromyalgia group, and 0 cm, 56 (interquartile range 55-56), and 89.4 (SD 14.4) respectively for Control group. Statistically significant differences were found in balance on comparing both groups (p=0.000 for Berg Balance Scale and 0.009 for ABC Scale) with lower values for Fibromyalgia group. In Fibromyalgia group, pain was negatively correlated with balance (r=-0.48, p=0.020) and balance self-efficacy (rs=-0.56, p=0.006). Correlation between Berg Balance Scale and ABC Scale was found only in the Fibromyalgia group (rs =0.55, p=0.007). There are associations between poor balance and pain, and poor balance and decreased balance self-efficacy in women with fibromyalgia. There is an association between scales in the Fibromyalgia group

    Prevalence of low back pain in the elderly population: a systematic review

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    The aim of this study was to estimate the prevalence of low-back pain (LBP) and to identify the level of functional disability in elderly individuals in different populations. From January 1985 to October 2018, a search was performed using the following databases: Embase, LILACS, SciELO, Scopus, Medline, and the Web of Science. The descriptors were low-back pain, back pain, lower-back pain, prevalence, and elderly in Portuguese and English. Two independent reviewers conducted a search for studies and evaluated their methodological quality. The search strategy returned 2186 titles, and 35 were included in this review. The studies evaluated 135,059 elderly individuals aged between 60 and 102 years, and the prevalence of LBP ranged from 21% to 75%. The levels of functional disability, as well as functional difficulties, activities of daily living, and physical capacity, were identified in 60% of the studies. This review indicated a high prevalence of LBP in elderly individuals and functional disability that affects factors important for independence. However, the studies used different methodologies, suggesting that more studies be conducted with scientific accuracy, methodological quality, and low risk of bias to contribute to the proposal of preventive actions for elderly populations

    Pervasive gaps in Amazonian ecological research

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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 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

    Diretrizes Brasileiras de Medidas da Pressão Arterial Dentro e Fora do Consultório – 2023

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    Hypertension is one of the primary modifiable risk factors for morbidity and mortality worldwide, being a major risk factor for coronary artery disease, stroke, and kidney failure. Furthermore, it is highly prevalent, affecting more than one-third of the global population. Blood pressure measurement is a MANDATORY procedure in any medical care setting and is carried out by various healthcare professionals. However, it is still commonly performed without the necessary technical care. Since the diagnosis relies on blood pressure measurement, it is clear how important it is to handle the techniques, methods, and equipment used in its execution with care. It should be emphasized that once the diagnosis is made, all short-term, medium-term, and long-term investigations and treatments are based on the results of blood pressure measurement. Therefore, improper techniques and/or equipment can lead to incorrect diagnoses, either underestimating or overestimating values, resulting in inappropriate actions and significant health and economic losses for individuals and nations. Once the correct diagnosis is made, as knowledge of the importance of proper treatment advances, with the adoption of more detailed normal values and careful treatment objectives towards achieving stricter blood pressure goals, the importance of precision in blood pressure measurement is also reinforced. Blood pressure measurement (described below) is usually performed using the traditional method, the so-called casual or office measurement. Over time, alternatives have been added to it, through the use of semi-automatic or automatic devices by the patients themselves, in waiting rooms or outside the office, in their own homes, or in public spaces. A step further was taken with the use of semi-automatic devices equipped with memory that allow sequential measurements outside the office (ABPM; or HBPM) and other automatic devices that allow programmed measurements over longer periods (HBPM). Some aspects of blood pressure measurement can interfere with obtaining reliable results and, consequently, cause harm in decision-making. These include the importance of using average values, the variation in blood pressure during the day, and short-term variability. These aspects have encouraged the performance of a greater number of measurements in various situations, and different guidelines have advocated the use of equipment that promotes these actions. Devices that perform HBPM or ABPM, which, in addition to allowing greater precision, when used together, detect white coat hypertension (WCH), masked hypertension (MH), sleep blood pressure alterations, and resistant hypertension (RHT) (defined in Chapter 2 of this guideline), are gaining more and more importance. Taking these details into account, we must emphasize that information related to diagnosis, classification, and goal setting is still based on office blood pressure measurement, and for this reason, all attention must be given to the proper execution of this procedure.La hipertensión arterial (HTA) es uno de los principales factores de riesgo modificables para la morbilidad y mortalidad en todo el mundo, siendo uno de los mayores factores de riesgo para la enfermedad de las arterias coronarias, el accidente cerebrovascular (ACV) y la insuficiencia renal. Además, es altamente prevalente y afecta a más de un tercio de la población mundial. La medición de la presión arterial (PA) es un procedimiento OBLIGATORIO en cualquier atención médica o realizado por diferentes profesionales de la salud. Sin embargo, todavía se realiza comúnmente sin los cuidados técnicos necesarios. Dado que el diagnóstico se basa en la medición de la PA, es claro el cuidado que debe haber con las técnicas, los métodos y los equipos utilizados en su realización. Debemos enfatizar que una vez realizado el diagnóstico, todas las investigaciones y tratamientos a corto, mediano y largo plazo se basan en los resultados de la medición de la PA. Por lo tanto, las técnicas y/o equipos inadecuados pueden llevar a diagnósticos incorrectos, subestimando o sobreestimando valores y resultando en conductas inadecuadas y pérdidas significativas para la salud y la economía de las personas y las naciones. Una vez realizado el diagnóstico correcto, a medida que avanza el conocimiento sobre la importancia del tratamiento adecuado, con la adopción de valores de normalidad más detallados y objetivos de tratamiento más cuidadosos hacia metas de PA más estrictas, también se refuerza la importancia de la precisión en la medición de la PA. La medición de la PA (descrita a continuación) generalmente se realiza mediante el método tradicional, la llamada medición casual o de consultorio. Con el tiempo, se han agregado alternativas a través del uso de dispositivos semiautomáticos o automáticos por parte del propio paciente, en salas de espera o fuera del consultorio, en su propia residencia o en espacios públicos. Se dio un paso más con el uso de dispositivos semiautomáticos equipados con memoria que permiten mediciones secuenciales fuera del consultorio (AMPA; o MRPA) y otros automáticos que permiten mediciones programadas durante períodos más largos (MAPA). Algunos aspectos en la medición de la PA pueden interferir en la obtención de resultados confiables y, en consecuencia, causar daños en las decisiones a tomar. Estos incluyen la importancia de usar valores promedio, la variación de la PA durante el día y la variabilidad a corto plazo. Estos aspectos han alentado la realización de un mayor número de mediciones en diversas situaciones, y diferentes pautas han abogado por el uso de equipos que promuevan estas acciones. Los dispositivos que realizan MRPA o MAPA, que además de permitir una mayor precisión, cuando se usan juntos, detectan la hipertensión de bata blanca (HBB), la hipertensión enmascarada (HM), las alteraciones de la PA durante el sueño y la hipertensión resistente (HR) (definida en el Capítulo 2 de esta guía), están ganando cada vez más importancia. Teniendo en cuenta estos detalles, debemos enfatizar que la información relacionada con el diagnóstico, la clasificación y el establecimiento de objetivos todavía se basa en la medición de la presión arterial en el consultorio, y por esta razón, se debe prestar toda la atención a la ejecución adecuada de este procedimiento.A hipertensão arterial (HA) é um dos principais fatores de risco modificáveis para morbidade e mortalidade em todo o mundo, sendo um dos maiores fatores de risco para doença arterial coronária, acidente vascular cerebral (AVC) e insuficiência renal. Além disso, é altamente prevalente e atinge mais de um terço da população mundial. A medida da PA é procedimento OBRIGATÓRIO em qualquer atendimento médico ou realizado por diferentes profissionais de saúde. Contudo, ainda é comumente realizada sem os cuidados técnicos necessários. Como o diagnóstico se baseia na medida da PA, fica claro o cuidado que deve haver com as técnicas, os métodos e os equipamentos utilizados na sua realização. Deve-se reforçar que, feito o diagnóstico, toda a investigação e os tratamentos de curto, médio e longo prazos são feitos com base nos resultados da medida da PA. Assim, técnicas e/ou equipamentos inadequados podem levar a diagnósticos incorretos, tanto subestimando quanto superestimando valores e levando a condutas inadequadas e grandes prejuízos à saúde e à economia das pessoas e das nações. Uma vez feito o diagnóstico correto, na medida em que avança o conhecimento da importância do tratamento adequado, com a adoção de valores de normalidade mais detalhados e com objetivos de tratamento mais cuidadosos no sentido do alcance de metas de PA mais rigorosas, fica também reforçada a importância da precisão na medida da PA. A medida da PA (descrita a seguir) é habitualmente feita pelo método tradicional, a assim chamada medida casual ou de consultório. Ao longo do tempo, foram agregadas alternativas a ela, mediante o uso de equipamentos semiautomáticos ou automáticos pelo próprio paciente, nas salas de espera ou fora do consultório, em sua própria residência ou em espaços públicos. Um passo adiante foi dado com o uso de equipamentos semiautomáticos providos de memória que permitem medidas sequenciais fora do consultório (AMPA; ou MRPA) e outros automáticos que permitem medidas programadas por períodos mais prolongados (MAPA). Alguns aspectos na medida da PA podem interferir na obtenção de resultados fidedignos e, consequentemente, causar prejuízo nas condutas a serem tomadas. Entre eles, estão: a importância de serem utilizados valores médios, a variação da PA durante o dia e a variabilidade a curto prazo. Esses aspectos têm estimulado a realização de maior número de medidas em diversas situações, e as diferentes diretrizes têm preconizado o uso de equipamentos que favoreçam essas ações. Ganham cada vez mais espaço os equipamentos que realizam MRPA ou MAPA, que, além de permitirem maior precisão, se empregados em conjunto, detectam a HA do avental branco (HAB), HA mascarada (HM), alterações da PA no sono e HA resistente (HAR) (definidos no Capítulo 2 desta diretriz). Resguardados esses detalhes, devemos ressaltar que as informações relacionadas a diagnóstico, classificação e estabelecimento de metas ainda são baseadas na medida da PA de consultório e, por esse motivo, toda a atenção deve ser dada à realização desse procedimento

    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

    Taking the pulse of Earth's tropical forests using networks of highly distributed plots

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    Tropical forests are the most diverse and productive ecosystems on Earth. While better understanding of these forests is critical for our collective future, until quite recently efforts to measure and monitor them have been largely disconnected. Networking is essential to discover the answers to questions that transcend borders and the horizons of funding agencies. Here we show how a global community is responding to the challenges of tropical ecosystem research with diverse teams measuring forests tree-by-tree in thousands of long-term plots. We review the major scientific discoveries of this work and show how this process is changing tropical forest science. Our core approach involves linking long-term grassroots initiatives with standardized protocols and data management to generate robust scaled-up results. By connecting tropical researchers and elevating their status, our Social Research Network model recognises the key role of the data originator in scientific discovery. Conceived in 1999 with RAINFOR (South America), our permanent plot networks have been adapted to Africa (AfriTRON) and Southeast Asia (T-FORCES) and widely emulated worldwide. Now these multiple initiatives are integrated via ForestPlots.net cyber-infrastructure, linking colleagues from 54 countries across 24 plot networks. Collectively these are transforming understanding of tropical forests and their biospheric role. Together we have discovered how, where and why forest carbon and biodiversity are responding to climate change, and how they feedback on it. This long-term pan-tropical collaboration has revealed a large long-term carbon sink and its trends, as well as making clear which drivers are most important, which forest processes are affected, where they are changing, what the lags are, and the likely future responses of tropical forests as the climate continues to change. By leveraging a remarkably old technology, plot networks are sparking a very modern revolution in tropical forest science. In the future, humanity can benefit greatly by nurturing the grassroots communities now collectively capable of generating unique, long-term understanding of Earth's most precious forests.Additional co-authors: Susan Laurance, William Laurance, Francoise Yoko Ishida, Andrew Marshall, Catherine Waite, Hannsjoerg Woell, Jean-Francois Bastin, Marijn Bauters, Hans Beeckman, Pfascal Boeckx, Jan Bogaert, Charles De Canniere, Thales de Haulleville, Jean-Louis Doucet, Olivier Hardy, Wannes Hubau, Elizabeth Kearsley, Hans Verbeeck, Jason Vleminckx, Steven W. Brewer, Alfredo Alarcón, Alejandro Araujo-Murakami, Eric Arets, Luzmila Arroyo, Ezequiel Chavez, Todd Fredericksen, René Guillén Villaroel, Gloria Gutierrez Sibauty, Timothy Killeen, Juan Carlos Licona, John Lleigue, Casimiro Mendoza, Samaria Murakami, Alexander Parada Gutierrez, Guido Pardo, Marielos Peña-Claros, Lourens Poorter, Marisol Toledo, Jeanneth Villalobos Cayo, Laura Jessica Viscarra, Vincent Vos, Jorge Ahumada, Everton Almeida, Jarcilene Almeida, Edmar Almeida de Oliveira, Wesley Alves da Cruz, Atila Alves de Oliveira, Fabrício Alvim Carvalho, Flávio Amorim Obermuller, Ana Andrade, Fernanda Antunes Carvalho, Simone Aparecida Vieira, Ana Carla Aquino, Luiz Aragão, Ana Claudia Araújo, Marco Antonio Assis, Jose Ataliba Mantelli Aboin Gomes, Fabrício Baccaro, Plínio Barbosa de Camargo, Paulo Barni, Jorcely Barroso, Luis Carlos Bernacci, Kauane Bordin, Marcelo Brilhante de Medeiros, Igor Broggio, José Luís Camargo, Domingos Cardoso, Maria Antonia Carniello, Andre Luis Casarin Rochelle, Carolina Castilho, Antonio Alberto Jorge Farias Castro, Wendeson Castro, Sabina Cerruto Ribeiro, Flávia Costa, Rodrigo Costa de Oliveira, Italo Coutinho, John Cunha, Lola da Costa, Lucia da Costa Ferreira, Richarlly da Costa Silva, Marta da Graça Zacarias Simbine, Vitor de Andrade Kamimura, Haroldo Cavalcante de Lima, Lia de Oliveira Melo, Luciano de Queiroz, José Romualdo de Sousa Lima, Mário do Espírito Santo, Tomas Domingues, Nayane Cristina dos Santos Prestes, Steffan Eduardo Silva Carneiro, Fernando Elias, Gabriel Eliseu, Thaise Emilio, Camila Laís Farrapo, Letícia Fernandes, Gustavo Ferreira, Joice Ferreira, Leandro Ferreira, Socorro Ferreira, Marcelo Fragomeni Simon, Maria Aparecida Freitas, Queila S. García, Angelo Gilberto Manzatto, Paulo Graça, Frederico Guilherme, Eduardo Hase, Niro Higuchi, Mariana Iguatemy, Reinaldo Imbrozio Barbosa, Margarita Jaramillo, Carlos Joly, Joice Klipel, Iêda Leão do Amaral, Carolina Levis, Antonio S. Lima, Maurício Lima Dan, Aline Lopes, Herison Madeiros, William E. Magnusson, Rubens Manoel dos Santos, Beatriz Marimon, Ben Hur Marimon Junior, Roberta Marotti Martelletti Grillo, Luiz Martinelli, Simone Matias Reis, Salomão Medeiros, Milton Meira-Junior, Thiago Metzker, Paulo Morandi, Natanael Moreira do Nascimento, Magna Moura, Sandra Cristina Müller, Laszlo Nagy, Henrique Nascimento, Marcelo Nascimento, Adriano Nogueira Lima, Raimunda Oliveira de Araújo, Jhonathan Oliveira Silva, Marcelo Pansonato, Gabriel Pavan Sabino, Karla Maria Pedra de Abreu, Pablo José Francisco Pena Rodrigues, Maria Piedade, Domingos Rodrigues, José Roberto Rodrigues Pinto, Carlos Quesada, Eliana Ramos, Rafael Ramos, Priscyla Rodrigues, Thaiane Rodrigues de Sousa, Rafael Salomão, Flávia Santana, Marcos Scaranello, Rodrigo Scarton Bergamin, Juliana Schietti, Jochen Schöngart, Gustavo Schwartz, Natalino Silva, Marcos Silveira, Cristiana Simão Seixas, Marta Simbine, Ana Claudia Souza, Priscila Souza, Rodolfo Souza, Tereza Sposito, Edson Stefani Junior, Julio Daniel do Vale, Ima Célia Guimarães Vieira, Dora Villela, Marcos Vital, Haron Xaud, Katia Zanini, Charles Eugene Zartman, Nur Khalish Hafizhah Ideris, Faizah binti Hj Metali, Kamariah Abu Salim, Muhd Shahruney Saparudin, Rafizah Mat Serudin, Rahayu Sukmaria Sukri, Serge Begne, George Chuyong, Marie Noel Djuikouo, Christelle Gonmadje, Murielle Simo-Droissart, Bonaventure Sonké, Hermann Taedoumg, Lise Zemagho, Sean Thomas, Fidèle Baya, Gustavo Saiz, Javier Silva Espejo, Dexiang Chen, Alan Hamilton, Yide Li, Tushou Luo, Shukui Niu, Han Xu, Zhang Zhou, Esteban Álvarez-Dávila, Juan Carlos Andrés Escobar, Henry Arellano-Peña, Jaime Cabezas Duarte, Jhon Calderón, Lina Maria Corrales Bravo, Borish Cuadrado, Hermes Cuadros, Alvaro Duque, Luisa Fernanda Duque, Sandra Milena Espinosa, Rebeca Franke-Ante, Hernando García, Alejandro Gómez, Roy González-M., Álvaro Idárraga-Piedrahíta, Eliana Jimenez, Rubén Jurado, Wilmar López Oviedo, René López-Camacho, Omar Aurelio Melo Cruz, Irina Mendoza Polo, Edwin Paky, Karen Pérez, Angel Pijachi, Camila Pizano, Adriana Prieto, Laura Ramos, Zorayda Restrepo Correa, James Richardson, Elkin Rodríguez, Gina M. Rodriguez M., Agustín Rudas, Pablo Stevenson, Markéta Chudomelová, Martin Dancak, Radim Hédl, Stanislav Lhota, Martin Svatek, Jacques Mukinzi, Corneille Ewango, Terese Hart, Emmanuel Kasongo Yakusu, Janvier Lisingo, Jean-Remy Makana, Faustin Mbayu, Benjamin Toirambe, John Tshibamba Mukendi, Lars Kvist, Gustav Nebel, Selene Báez, Carlos Céron, Daniel M. Griffith, Juan Ernesto Guevara Andino, David Neill, Walter Palacios, Maria Cristina Peñuela-Mora, Gonzalo Rivas-Torres, Gorky Villa, Sheleme Demissie, Tadesse Gole, Techane Gonfa, Kalle Ruokolainen, Michel Baisie, Fabrice Bénédet, Wemo Betian, Vincent Bezard, Damien Bonal, Jerôme Chave, Vincent Droissart, Sylvie Gourlet-Fleury, Annette Hladik, Nicolas Labrière, Pétrus Naisso, Maxime Réjou-Méchain, Plinio Sist, Lilian Blanc, Benoit Burban, Géraldine Derroire, Aurélie Dourdain, Clement Stahl, Natacha Nssi Bengone, Eric Chezeaux, Fidèle Evouna Ondo, Vincent Medjibe, Vianet Mihindou, Lee White, Heike Culmsee, Cristabel Durán Rangel, Viviana Horna, Florian Wittmann, Stephen Adu-Bredu, Kofi Affum-Baffoe, Ernest Foli, Michael Balinga, Anand Roopsind, James Singh, Raquel Thomas, Roderick Zagt, Indu K. Murthy, Kuswata Kartawinata, Edi Mirmanto, Hari Priyadi, Ismayadi Samsoedin, Terry Sunderland, Ishak Yassir, Francesco Rovero, Barbara Vinceti, Bruno Hérault, Shin-Ichiro Aiba, Kanehiro Kitayama, Armandu Daniels, Darlington Tuagben, John T. 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    Evaluation and association of self-care agency with symptoms and quality of life in patients with fibromyalgia

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    A fibromialgia (FM) é uma condição de alta prevalência e que causa desconforto físico, sofrimento mental e comprometimento nas relações sociais. Assim, o autocuidado pode ser um aspecto determinante para melhorar a qualidade de vida de indivíduos com FM, pois está relacionado ao ato de se investir de poder. Portanto, o objetivo deste estudo foi avaliar o agenciamento do autocuidado de indivíduos com FM e verificar a associação do autocuidado com variáveis sociodemográficas, sintomas e qualidade de vida. Participaram do estudo 40 indivíduos com FM, que preencheram os critérios diagnósticos do Colégio Americano de Reumatologia de 2010. O autocuidado foi avaliado pela Escala de Avaliação de Agenciamento de Autocuidados Revisada (EAAA-R), a intensidade da dor dos pacientes foi verificada pela Escala Visual Analógica (EVA) e pelo Índice de Dor Generalizada (IDG), enquanto a severidade dos sintomas foi avaliado pela Escala de Severidade dos Sintomas (SS) e a qualidade de vida pelo Questionário de Impacto da Fibromialgia Revisado (QIF-R). Utilizamos o coeficiente de correlação de Pearson (dados paramétricos) e coeficiente de correlação de Spearman (dados não paramétricos), com nível de significância α<0,05. Os resultados mostram valores médios para o agenciamento do autocuidado (52,75±10,25), intensidade da dor (5,84±2,16), IDG (13,32±3,78), SS (9,30±1,68), e QIF-R (63,98±17,26). Houve associação do autocuidado com a classe social (r=0,391) e associação com domínios do QIF-R: função (r=-0,338), impacto geral (r=-0,315), sintomas (r=-0,332) e escore total (r=-0,375). O estudo sugere moderado agenciamento de autocuidado e fraca associação do autocuidado com a qualidade de vida e com a classe social em indivíduos com fibromialgia.Fibromyalgia (FM) is a condition of high prevalence, which causes physical discomfort, mental distress and impairment of social relationships. Self-care may be a relevant factor to improve the quality of life in individuals with fibromyalgia, since it is related to the act of empowerment, leading individuals to have control over their own life. The aim of this study was to assess self-care agency of individuals with fibromyalgia and check for associations between self-care and symptoms, quality of life and sociodemographic variables. The study included 40 individuals with FM according to the 2010 American College of Rheumatology criteria. Self-care was measured with the Appraisal Self-Care Agency Scale-Revised (ASAS-R), pain with the Visual Analog Scale (VAS) and the Widespread Pain Index (WPI), severity of symptoms with the Symptom Severity (SS) Scale, and quality of life with the Fibromyalgia Impact Questionnaire - Revised (FIQ-R). In data analysis, the Pearson correlation coefficient was used for parametric data, and the Spearman correlation coefficient was used for non-parametric data. The level of significance adopted was 5%. Moderate values were found for self-care agency (52.75±10.25), VAS pain (5.84±2.16), WPI (13.32±3.78) and SS (9.30±1.68). Severe impact on quality of life was found with the FIQR (63.98±17.26). Additionally, significant correlations were observed of self-care agency with social status (r=0.391), and with the following FIQ-R domains: function (r=−0.338), overall impact (r=-0.315), symptoms (r=−0.332) and total score (r=−0.375). The study suggests that individuals with fibromyalgia have a moderate level of self-care agency, and a weak association of self-care with quality of life and social status
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