MétaCan
Menu
Back to cohort
Record W4404235594 · doi:10.22235/cp.v18i2.4059

Impactos de la pandemia de COVID-19 sobre el bienestar y la salud mental de adultos uruguayos

2024· article· es· W4404235594 on OpenAlexaff
Alejandro Anselmi, Cecilia Cracco, Andrés Estradé, Marco Solmi, Christoph U. Correll

Bibliographic record

VenueCiencias Psicológicas · 2024
Typearticle
Languagees
FieldPsychology
TopicStress and Burnout Research
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakMedicineVirologyInfectious disease (medical specialty)Outbreak

Abstract

fetched live from OpenAlex

La pandemia de COVID-19 y las restricciones asociadas han tenido efectos significativos sobre la salud mental a nivel mundial. Esta investigación, parte del estudio global COH-FIT, buscó describir los efectos de la pandemia sobre la salud mental de adultos en Uruguay a través de una metodología de encuesta online. Se estudió una muestra de 1936 adultos entre 18 y 93 años (M = 43.90, DE = 16.25), mayormente mujeres (81.3 %). Los resultados reflejan percepción de deterioro del bienestar, el sueño y la sintomatología ansiosa, depresiva y postraumática, al comparar el tiempo pre y durante la pandemia. Se encontró que ser mujer, adulto joven (18-26 años), tener nivel educativo de primaria, o un diagnóstico previo de salud mental se asoció con peores indicadores. Casi la tercera parte de los adultos reportaron ideación suicida durante la pandemia. Estos resultados aportan información epidemiológica regional y local relevante e identifican grupos que deben ser tenidos para mitigar los efectos a largo plazo de la pandemia.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.472
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.037
GPT teacher head0.439
Teacher spread0.402 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueCiencias PsicológicasSame topicStress and Burnout ResearchFrench-language works237,207