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Record W3194431092 · doi:10.25248/reac.e8601.2021

Qualidade de vida, trabalho e apoio familiar de pessoas com fibromialgia

2021· article· pt· W3194431092 on OpenAlexaff
Luana Maria Liborio da Mota, Mariane Silva Queiroz, Beatriz Tianeze de Castro, Lorena Vieira Fernandez de Araújo, Thais Oliveira Leite, Bárbara Dielly Costa Balisa, Shesllen Mikaelly Cruz Corrêa, Juliano Gusmão de Oliveira, Fernanda Sales Alves Correia, Rosângela Souza Lessa

Bibliographic record

VenueRevista Eletrônica Acervo Científico · 2021
Typearticle
Languagept
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsQuest University Canada
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Objetivo: Avaliar a qualidade de vida, o trabalho e o apoio familiar em pessoas com fibromialgia. Métodos: Trata-se de um estudo de corte transversal, com abrodagem quantitativa, com 102 fibromiálgicos. A coleta de dados ocorreu por meio de um questionário online composto por perguntas sobre perfil sociodemográfico e apoio familiar e o Questionário sobre o Impacto da Fibromialgia (QIF). Os dados quantitativos foram oriundos da ferramenta Google Forms e salvo em tabela do Microsoft Excel ®. O estudo foi aprovado por Comitê de Ética em Pesquisa. Resultados: Obteve-se dessa amostra um predomínio do sexo feminino 97,1%, 63,7% era pardo, 68,6% casado ou em união consensual/estável e 45,1% com escolaridade até o ensino médio. Quanto às atividades remuneradas 65,7% responderam estar trabalhando. Na avaliação global do QIF atingiram uma média de 75,70 ± 16,71 indicando elevado comprometimento da qualidade de vida. Conclusão: É preciso, então, atenção à saúde e ao bem-estar do fibromiálgico, compreensão familiar, empatia dos profissionais de saúde e novos estudos acerca da doença.

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)0.004
metaresearch head score (Gemma)0.009
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 score0.005
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.028
GPT teacher head0.319
Teacher spread0.290 · 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".

Quick stats

Citations8
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueRevista Eletrônica Acervo CientíficoSame topicFibromyalgia and Chronic Fatigue Syndrome ResearchFrench-language works237,207