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Record W4390059426 · doi:10.4025/arqmudi.v27i3.70147

BENEFÍCIOS DA AUTO LIBERAÇÃO MIOFASCIAL NA QUALIDADE DE VIDA

2023· article· pt· W4390059426 on OpenAlexaboutno aff
Denize Silva dos Santos, Gilmara Alvarenga Fachardo Oliveira, Marcelo Biondaro Góis

Bibliographic record

VenueArquivos do Mudi · 2023
Typearticle
Languagept
FieldHealth Professions
TopicOccupational Health and Burnout
Canadian institutionsnot available
Fundersnot available
KeywordsHealth professionalsHumanitiesPsychologyMedicinePhilosophyHealth carePolitical science

Abstract

fetched live from OpenAlex

As técnicas de manipulação miofascial podem gerar diversas respostas bioquímicas no corpo humano, com repercussões no estado emocional, devido ao sistema miofascial ser ricamente inervado por interoceptores que quando estimulados são capazes de ativar áreas cerebrais podendo beneficiar a saúde física e emocional. Desse modo, o objetivo do presente estudo, foi analisar os efeitos da auto liberação miofascial na qualidade de vida de prestadores de serviços gerais. Trata-se de um estudo de caso, de natureza qualitativa e quantitativa e análise descritiva, com a utilização do questionário de Dor de McGill e o Short-Form Health Survey 36, além de um protocolo de auto liberação miofascial associada a exercícios realizados duas vezes por semana com um total de 10 sessões, aplicados em 14 prestadores de serviços gerais. Os resultados principais da pesquisa evidenciaram uma boa dimensão da qualidade de vida dos participantes, principalmente uma boa dimensão na capacidade física dos participantes, o que chamou a atenção sobre a importância de uma avaliação sobre os aspectos que envolvem a capacidade física e emocional dos trabalhadores. Por conseguinte, a pesquisa reforça a ideia de inserir cada vez mais práticas terapêuticas dentro das organizações para reduzir os impactos negativos gerados pelo trabalho repetitivo em trabalhadores do setor de serviços gerais, sendo um modelo a ser inserido para outras categorias de profissionais.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.428
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.026

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 head0.109
GPT teacher head0.452
Teacher spread0.343 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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