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Record W7055947043

Dor Neuropática e Processos Psicológicos Relacionados com o Evitamento e a Aceitação Experienciais: um estudo exploratório sobre preditores da ansiedade em doentes com esclerose múltipla

2021· dissertation· pt· W7055947043 on OpenAlexaboutno aff

Bibliographic record

VenuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2021
Typedissertation
Languagept
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyMindfulnessAlexithymiaFibromyalgiaHypnosis
DOInot available

Abstract

fetched live from OpenAlex

Introdução: A Esclerose Múltipla (EM) é uma doença crónica e neurodegenerativa do sistema nervoso central, progressivamente incapacitante. Embora possua uma prevalência preocupante, com impacto na saúde física e mental, e a ansiedade favoreça a sua progressão, são insuficientes os estudos sobre os preditores da ansiedade em pacientes com EM. Objetivos: Disponibilizar dados preliminares sobre um novo modelo preditivo dos sintomas psicopatológicos de ansiedade em doentes com EM, composto pela dor neuropática (sintoma frequente na EM) e processos psicológicos relacionados com o evitamento (fusão cognitiva e alexitimia) e a aceitação (mindfulness) experienciais. Método: Integraram neste estudo transversal duas amostras de conveniência: 107 participantes com o diagnóstico de EM (amostra clínica com EM) e 97 indivíduos sem EM pertencentes à população geral (amostra da população geral sem EM), os dois grupos sem outras doenças neurológicas. Foram administrados os seguintes questionários de autorresposta: Questionário Sociodemográfico e Clínico Para Doentes Com Esclerose Múltipla, Subscala de Ansiedade da Depression, Anxiety and Stress Scale-21, Escala Visual Analógica do Pain Detect Questionnaire, Subscala de Mindfulness da Self-Compassion Scale, Cognitive Fusion Questionnaire e Toronto Alexithymia Scale-20. Resultados: As amostras com e sem EM diferenciaram-se relativamente à totalidade dos potenciais preditores, com exceção do mindfulness que exibiu uma diferença próxima da significância estatística. No grupo clínico com EM, a dor neuropática, a fusão cognitiva e a alexitimia exibiram, correlações com os sintomas de ansiedade e predisseram significativamente tal sintomatologia em modelos de regressão linear simples. Portanto, tais potenciais preditores foram selecionados para integrar como covariáveis o modelo de regressão linear múltipla. Este modelo explicou 38,1% da variância da sintomatologia ansiosa nos doentes com EM, tendo revelado que a dor neuropática, a fusão cognitiva e a alexitimia são preditores significativos com valores de beta positivos. Discussão: A fusão cognitiva e a alexitimia revelaram-se fatores de risco para a ansiedade em doentes com EM. Intervenções clínicas, como a Terapia de Aceitação e Compromisso, permitem desenvolver competências para lidar com a dor neuropática e reduzir processos de regulação emocional relacionados com o evitamento experiencial, nomeadamente, a fusão cognitiva e a alexitimia, tornando-se promissoras para reduzir a ansiedade nesses doentes. / Introduction: Multiple Sclerosis (MS) is a chronic, neurodegenerative and progressively disabling disease of the central nervous system. Although anxiety has a worrying prevalence with impact on physical and mental health and promotes its progression, there are insufficient studies about the predictors of anxiety in MS patients. Objectives: To provide preliminary data on a new predictive model of psychopathological symptoms of anxiety in MS patients, composed by neuropathic pain (a frequent symptom in MS) and psychological processes related to experiential avoidance (cognitive fusion and alexithymia) and experiential acceptance (mindfulness). Method: Two convenience samples were included in this cross-sectional study: 107 participants diagnosed with MS (MS clinical sample) and 97 individuals without MS from the general population (MS general population sample), both groups without other neurological diseases. The following self-administered questionnaires were applied: Sociodemographic and Clinical Questionnaire for Patients with Multiple Sclerosis, Anxiety Subscale from the Depression, Anxiety and Stress Scale-21, Visual Analogue Scale from the Pain Detect Questionnaire, Mindfulness Subscale from the Self-Compassion Scale, Cognitive Fusion Questionnaire and Toronto Alexithymia Scale-20. Results: The samples with and without MS differed regarding the totality of potential predictors except for mindfulness that showed a difference near statistical significance. In the clinical group with MS, neuropathic pain, cognitive fusion and alexithymia exhibited correlations with anxiety symptoms and significantly predicted these symptoms in simple linear regression models. Therefore, these potential predictors were selected to integrate the multiple linear regression model as covariates. This model explained 38.1% of the variance of anxious symptomatology in MS patients and revealed that neuropathic pain, cognitive fusion and alexithymia are significant predictors with positive beta values. Discussion: Cognitive fusion and alexithymia proved to be risk factors for anxiety in patients with MS. Clinical interventions such as Acceptance and Commitment Therapy allow to develop skills to cope with neuropathic pain and to reduce emotional regulation processes related to experiential avoidance, namely cognitive fusion and alexithymia, becoming promising to reduce anxiety in these patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.058
GPT teacher head0.367
Teacher spread0.309 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2021
Admission routes1
Has abstractyes

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