Depresión y ansiedad en adolescentes de Santa Rosa, Guatemala
Bibliographic record
Abstract
Los transtornos mentales y neurológicos representan el 14% de las enfermedades a nivel mundial y el 22% en Latinoamérica, siendo las más comunes depresión (5%) y ansiedad (3.4%). En Guatemala durante el 2015 se reportó un incremento del 40% de los trastornos mentales, encabezados por depresión y ansiedad. Con el objetivo de estimar la prevalencia de depresión y ansiedad en adolescentes de institutos nacionales de educación básica y diversificada, se realizó un estudio descriptivo transversal. Se seleccionaron tres municipios del departamento de Santa Rosa, a conveniencia y tres institutos públicos de cada municipio. Con una muestra aleatoria simple de 587 adolescente, distribuida proporcionalmente. Se utilizaron los cuestionarios autoaplicables Children ?s Depression Inventory (CDI) y Screen for Child Anxiety Related Disorders (Scared) para detectar sintomatología depresiva y de ansiedad. Se obtuvo una participación de 56.4% de sexo femenino y 43.6% del sexo masculino. La prevalencia de sintomatos sugestivos de depresión fue de 23.7% y de ansiedad 61.2%, presentándose, ambas, con mayor frecuencia en el sexo femenino.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".