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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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.002

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; both teacher heads agree on what is shown here.

Study designNot applicable
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