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Record W7120871765

Obesidade sarcopênica em crianças e adolescentes: uma revisão sistemática de estudos transversais

2018· article· pt· W7120871765 on OpenAlexaboutno aff
Gabriel Prazeres

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2018
Typearticle
Languagept
FieldSocial Sciences
TopicPhysical Education and Gymnastics
Canadian institutionsnot available
Fundersnot available
KeywordsMEDLINEObesitySarcopeniaPhysical activity
DOInot available

Abstract

fetched live from OpenAlex

O presente estudo tem o objetivo de investigar a sarcopenia em crianças e adolescentes obesos. Trata-se de uma revisão sistemática realizando buscas em quatro bases de dados eletrônicas, MEDLINE via (PUBMED), SCOPUS, WEB OF SCIENCI, LILACS, e também a busca manual. A qualidade metodológica dos estudos foi avaliada pela escala de Newcastle-Ottawa Scale, adaptada por Silva et al. (2014). O estudo seguiu as recomendações da colaboração Cochranee PRISMA Statment. Foram incluídos na presente revisão quatro estudos transversais, sendo o mais antigo do ano de 2008 e o mais recente de 2017 que abordaram temas relacionados à obesidade sarcopênica e associação de força e gordura em crianças e adolescentes obesos. De acordo com a presente revisão a obesidade pode favorecer o aumento da força absoluta nos membros superiores e inferiores, mas não se sabe determinar o real motivo para isso apesar das suposições. Não é possível diagnosticar a obesidade sarcopênica sem levar em conta o grau de adiposidade. A força muscular respiratória é menor em obesos, e a relação da capacidade de força de preensão manual e índice de massa corporal são capazes de discriminar crianças que podem ser diagnosticadas com obesidade sarcopênica das que não podem.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.947
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.297
Teacher spread0.262 · 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 teacher head, not a consensus.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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