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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".