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Prevalência de sintomas de estresse nos estudantes de medicina

2009· article· pt· W2037900246 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJornal Brasileiro de Psiquiatria · 2009
Typearticle
Languagept
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

OBJETIVO: Identificar o perfil sociodemográfico dos acadêmicos de Medicina e avaliar a prevalência de sintomas de estresse nesses estudantes. MÉTODOS: A população estudada respondeu ao Inventário de Sintomas de Stress para Adultos de Lipp (ISSL), para identificação de sintomas de estresse e a um questionário sociodemográfico. RESULTADOS: Duzentos estudantes de Medicina, matriculados nos Ciclos Básico ou Clínico da Universidade Federal do Ceará (UFC), foram estudados. Houve predominância do sexo masculino (54,5%), solteiros (100%), naturais de Fortaleza (87%), com idade média de 21 (± 2,3) anos. As alunas apresentaram níveis de sintomas de estresse maiores do que os estudantes homens, representando 30,1% e 19,6%, respectivamente (p < 0,001). A prevalência de sintomas de estresse foi de 49,7%, sendo o quarto semestre o período com níveis mais altos desses sintomas (p = 0,002). CONCLUSÕES: Conclui-se que estudantes de Medicina da Universidade Federal do Ceará (UFC) têm níveis de estresse similares àqueles relatados para amostras internacionais.

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.

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)0.007
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.126
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0020.001

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 head0.049
GPT teacher head0.424
Teacher spread0.375 · 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