Análise das capacidades físicas de mulheres com fibromialgia segundo o nível de gravidade da enfermidade

Ángel, Latorre Roman Pedro; Campos, Maria Aparecida Santos e; Meza, José Armando Mejía; Fernández, Manuel Delgado; Heredia, José María

doi:10.1590/s1517-86922012000500005

Cited by 8 publications

(3 citation statements)

References 24 publications

(25 reference statements)

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“…Acerca disso não foram encontrados estudos nacionais que correlacionassem um histórico de desgaste corporal com o diagnóstico de FM. No entanto, pesquisas atestam que os indivíduos diagnosticados apresentam força muscular aquém da esperada para sua idade (Angel, Campos, Meza, Fernadez, & Heredia, 2012;Cardoso, Curtolo, Natour, & Lombardi Júnior, 2011).…”

Section: Resultados/discussãounclassified

Uma Interpretação Molar da Dor Crônica na Fibromialgia

Souza

Laurenti

2017

Psicol. cienc. prof.

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Resumo: A fibromialgia (FM) é uma síndrome reumatológica caracterizada por dor crônica de etiologia desconhecida, configurando-se como uma problemática teórico-prática na área da saúde. A Análise do Comportamento pode contribuir com o estudo desta síndrome, possibilitando uma análise funcional da dor crônica, em termos das possíveis variáveis contextuais relacionadas à sua origem e manutenção no âmbito da FM. Considerando isso, esta pesquisa empírico-exploratória objetivou operacionalizar a dor crônica na FM em termos de contingências. Para tanto, a análise das contingências foi orientada por uma perspectiva molar, investigando a dor como uma classe de comportamentos constituída ao longo da história de vida do indivíduo. Para obtenção das informações, foram realizadas entrevistas semiestruturadas com oito mulheres diagnosticadas com FM que frequentavam um hospital universitário no estado do Paraná. As informações foram sistematizadas e interpretadas à luz dos conceitos da Análise do Comportamento. Os resultados indicam que a dor crônica na FM é uma classe comportamental, envolvendo elementos respondentes (mobilização biológica à resposta de estresse e resposta nociceptiva) e operantes (reclamações, absenteísmo no trabalho, isolamento social). Além disso, essa classe tem como antecedentes situações de incontrolabilidade e de limitação corporal, e, como consequências: atenção social e evitação tanto da reprovação social quanto da realização malfeita de tarefas. Esses resultados complementam a literatura analítico-comportamental nacional sobre a FM; fornecem subsídios teóricos para a elaboração de tratamentos psicoterápicos, bem como para o manejo da relação médico-paciente, de modo a torná-la mais efetiva.Palavras-chave: Fibromialgia, Dor, Análise Funcional. Molar Interpretation of Chronic Pain in FibromyalgiaAbstract: Fibromyalgia (FM) is a rheumatologic syndrome characterized by chronic pain of unknown etiology, configured as a theoretical and practical issue in the Health area. Behavior Analysis can contribute to the study of this syndrome by providing a functional analysis of chronic pain, in terms of possible contextual variables related to its origin and maintenance in FM. Taking that into consideration, this empirical and exploratory project aimed to operationalize the chronic pain in FM in terms of contingencies. For this, the analysis of contingencies was guided by a molar perspective, investigating pain as a class of behavior constituted throughout the life history of the individual. To obtain the information, semi-structured interviews were conducted with eight women diagnosed with FM who attended a University Hospital in the state of Paraná. The information was systematized and interpreted in light of Behavior Analysis concepts. The results indicate that chronic pain in FM is a behavioral class, involving respondent (biological mobilization to stress response and nociceptive response) and operant (complaints, absenteeism at work, social isolation) elements; in addition, this class has as background con...

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Section: Resultados/discussãounclassified

Uma Interpretação Molar da Dor Crônica na Fibromialgia

Souza

Laurenti

2017

Psicol. cienc. prof.

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“…General symptoms related to fibromyalgia are also evaluated using the Fibromyalgia Impact Questionnaire (FIQ), which is a self-administered questionnaire designed to assess the components of health status believed to be most affected by FM 42 . The FIQ serves as an effective tool to assess symptoms that impact daily functions such as general well-being, work ability, fatigue, morning fatigue, depression, and others 43 .…”

Section: Methodsmentioning

confidence: 99%

“…The Health Survey Summary Form (SF-36) is a generic instrument to assess health and quality of life (QL), with questions about physical function, bodily pain, general health, vitality, mental health and other perceptions related to health 42 . The Pain Catastrophizing Scale (CAT) is associated with more severe symptoms and a worse adaptation to fibromyalgia, characterized by a pessimistic picture and exaggerated interpretations of pain sensation 48 .…”

Section: Methodsmentioning

confidence: 99%

Spectrochemical approach combined with symptoms data to diagnose fibromyalgia through paper spray ionization mass spectrometry (PSI-MS) and multivariate classification

Alves

Maciel

Passos

et al. 2023

Sci Rep

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This study performs a chemical investigation of blood plasma samples from patients with and without fibromyalgia, combined with some of the symptoms and their levels of intensity used in the diagnosis of this disease. The symptoms evaluated were: visual analogue pain scale (VAS); fibromyalgia impact questionnaire (FIQ); Hamilton anxiety rating scale (HAM); Tampa Scale for Kinesiophobia (TAMPA); quality of life Questionnaire—physical and mental health (QL); and Pain Catastrophizing Scale (CAT). Plasma samples were analyzed by paper spray ionization mass spectrometry (PSI-MS). Spectral data were organized into datasets and related to each of the symptoms measured. The datasets were submitted to multivariate classification using supervised models such as principal component analysis with linear discriminant analysis (PCA-LDA), successive projections algorithm with linear discriminant analysis (SPA-LDA), genetic algorithm with linear discriminant analysis (GA-LDA) and their versions with quadratic discriminant analysis (PCA/SPA/GA-QDA) and support vector machines (PCA/SPA/GA-SVM). These algorithm combinations were performed aiming the best class separation. Good discrimination between the controls and fibromyalgia samples were observed using PCA-LDA, where the spectral data associated with the CAT symptom achieved 100% classification sensitivity, and associated with the VAS symptom achieved 100% classification specificity, with both symptoms at the moderate level of intensity. The spectral variable at 579 m/z was found to be substantially significant for classification according to the PCA loadings. According to the human metabolites database, this variable can be associated with a LysoPC compound, which comprises a class of metabolites already evidenced in other studies for fibromyalgia diagnosis. This study proposed an investigation of spectral data combined with clinical data to compare the classification ability of different datasets. The good classification results obtained confirm this technique is as a good analytical tool for the detection of fibromyalgia, and provides theoretical support for other studies about fibromyalgia diagnosis.

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