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A influência dos sintomas climatéricos na saúde da mulher

2020· article· pt· W3081258525 on OpenAlexaff
Júlio César Figueiredo Júnior, Fernanda Viana de Moraes, Wanderson Alves Ribeiro, Gabriella Loçasso Ferreira da Luz Pereira, Felipe de Castro Felício, Dina Luciana Batista Andrade

Bibliographic record

VenueNursing Edição Brasileira · 2020
Typearticle
Languagept
FieldMedicine
TopicWomen's cancer prevention and management
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Este estudo objetivou descrever a influência dos sintomas climatéricos na qualidade de vida de mulheres nessa fase do ciclo reprodutivo. Trata-se de uma pesquisa descritiva, quantitativa, transversal e epidemiológica que iniciou após parecer favorável do Comitê de ética pela numeração 1.655.600. Participaram da pesquisa mulheres com idade entre 40 e 64 anos de idade usuárias de uma ESF da cidade de Montes Claros-MG que consentiram participar da pesquisa através do Termo de Consentimentos Livre e Esclarecido. O instrumento de coleta utilizado foi o questionário sociodemográfico, QSM e o índice de Kupperman e Blatt com análise descritiva e comparativa dos dados. Nos resultados pode-se observar que a maioria das mulheres apresentou sintomas entre moderados e acentuados, totalizando 60,9% de acordo o índice de Kupperman e Blatt, e que a maioria das participantes, 52,9%, apresentaram médias de resposta no QSM acima da média geral da população estudada, o que aponta que os sintomas vivenciados nesta fase da vida levam í alterações na sua qualidade de vida.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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 score0.430
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.003

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 head0.060
GPT teacher head0.333
Teacher spread0.273 · 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

Citations6
Published2020
Admission routes1
Has abstractyes

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