MétaCan
Menu
Back to cohort
Record W3141779147 · doi:10.30979/rev.abeno.v21i1.1158

O estresse e fatores socioeconômicos associados em graduandos de Odontologia

2021· article· pt· W3141779147 on OpenAlexaff
Jéssica Ferraz Soares Brito, Cláudia De Jesus Pinheiro, Tamara Marques Ramos, Taiomara Vieira Mania

Bibliographic record

VenueRevista da ABENO · 2021
Typearticle
Languagept
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsGeomechanica (Canada)
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Ao entrar no ambiente do Ensino Superior surge um novo conceito de vida para o estudante, que passa a ter responsabilidades e compromissos que outrora não tinha. Esta mudança na sua rotina pode gerar sentimentos de ansiedade e estresse, fatores que influenciam no desempenho diário do estudante. O objetivo dessa pesquisa foi avaliar a presença de estresse, seus níveis e fatores socioeconômicos associados entre graduandos de um curso de Odontologia. Nesse estudo transversal e observacional, de abordagem quantitativa, estudantes matriculados no curso de Odontologia de uma instituição de ensino superior privada (n=135) responderam a um questionário autoaplicável contendo questões sociodemográficas e o Inventário de Sintomas de Stress para Adultos de Lipp (ISSL). Os dados coletados foram analisados por estatística descritiva e as associações realizadas por meio do teste qui-quadrado. A maioria dos participantes cursava o décimo semestre (29,63%), era do sexo feminino (68,15%), solteiros (88,89%), sem filhos (90,37%), com idade média de 23,03±3,50 anos, apresentando estresse (62,22%) caracterizado pela prevalência da fase de resistência (86,90%) e sintomas psicológicos (48,81%). O sexo feminino e estudantes que optavam pelo custeio dos estudos na modalidade financiamento estavam significativamente mais estressados (50,37%; χ2=16,79; p=0,000 e 34,81%; χ 2=8,22; p=0,042, respectivamente). Conclui-se que o estresse esteve presente no transcorrer do curso de graduação em Odontologia, principalmente na fase de resistência. Entre as variáveis socioeconômicas analisadas, o sexo feminino e o tipo de custeio dos estudos na modalidade financiamento estiveram associados a condição.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.076
GPT teacher head0.427
Teacher spread0.351 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueRevista da ABENOSame topicHealthcare professionals’ stress and burnoutFrench-language works237,207