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Record W4200524860 · doi:10.22456/2316-2171.97670

FATORES SOCIODEMOGRÁFICOS E DE SAÚDE ASSOCIADOS À FRAGILIDADE EM IDOSOS

2021· article· pt· W4200524860 on OpenAlexaboutno aff
Letice Dalla Lana, Joseane Trindade Nogueira, Paulo Emílio Botura Ferreira, Rodolfo Herberto Schneider

Bibliographic record

VenueEstudos Interdisciplinares sobre o Envelhecimento · 2021
Typearticle
Languagept
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsnot available
Fundersnot available
KeywordsGerontologyHumanitiesMedicineArt

Abstract

fetched live from OpenAlex

Identificar os fatores sociodemográficos e de saúde associados à fragilidade em idosos que buscam assistência em um serviço de pronto atendimento. Estudo quantitativo e transversal desenvolvido com idosos de idade igual ou maior a 60 anos e que apresentassem condições de deambulação com ou sem auxílio. Foram coletados dados sociodemográficos e avaliado os níveis de fragilidade pela Escala de Fragilidade de Edmonton. A análise dos dados ocorreu pela estatística descritiva e analítica. Dos 163 idosos, a maioria foi classificada como frágil (81,60%), onde 79 (59,40%) idosos apresentavam fragilidade severa. Os fatores de risco para a fragilidade após a análise multivariada foram idade, estado civil, arranjo domiciliar, renda mensal, uso de medicações, doenças infecciosas, neoplasias e internação no último ano. A identificação de um percentual elevado de idosos classificados como frágeis demonstra a importância da avaliação precoce e contínua dos idosos inseridos na sociedade, garantindo uma melhor abordagem sobre o tema na prática clínica e melhores desfechos da fragilidade.

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)0.014
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.371
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.004
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.009

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 head0.174
GPT teacher head0.429
Teacher spread0.256 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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