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Record W1556655042 · doi:10.33132/01248146.147

Prevalencia de depresión reactiva en los adolescentes de los programas de la Facultad de Ciencias de la Salud en la Fundación Universitaria del Área Andina Pereira

2004· article· es· W1556655042 on OpenAlexaboutno aff
Ana Lucía Castro Castrillón, Ruby Sneyder López Orjuela, Simonelli Muñoz

Bibliographic record

VenueAreandina · 2004
Typearticle
Languagees
FieldPsychology
TopicStress and Burnout Research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyMedicine

Abstract

fetched live from OpenAlex

Por lo general la enfermedad depresiva prolongada comienza en la adolescencia o los anos de adulto joven. Alrededor del 15 al 20% de los adolescentes en Estados Unidos ha experimentado un episodio severo de depresion, que es similar a la proporcion de adultos que sufren de depresion. Las ninas adolescentes presentan el doble de posibilidades de experimentar depresion que los ninos. Entre los factores de riesgo se encuentran eventos de la vida generadores de estres, en particular la perdida de un padre por muerte o por divorcio, abuso infantil, atencion inestable, falta de habilidades sociales, enfermedad cronica y antecedentes familiares de depresion.1 La depresion como reaccion a circunstancias ambientales adversas afecta especialmente a los adolescentes. Por lo que se refiere a la poblacion estudiantil, segun el Programa de Salud Mental de la Facultad de Medicina de la Universidad Autonoma de Mejico, el sindrome depresivo ocupo el primer lugar entre todos los diagnosticos, con un porcentaje del 48%. La cifra es muy cercana a la reportada por centros similares de Canada e Inglaterra.2 Si se tiene en cuenta que la mayoria de los estudiantes de la Fundacion Universitaria del Area Andina atraviesa esta etapa, se aprecia la importancia del siguiente estudio, que cuantifica la presencia del problema y de algunos factores de riesgo para el mismo. En el se demuestra la presencia de casos de depresion que van de leves a severos.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
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
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.365
Teacher spread0.343 · 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 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

Citations0
Published2004
Admission routes1
Has abstractyes

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