Impactos de la pandemia de COVID-19 sobre el bienestar y la salud mental de adultos uruguayos
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".