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Record W4322694643 · doi:10.7705/biomedica.v25i4.1380

Impacto de un programa de foto-educación en los conocimientos y hábitos de una población escolar.

2005· article· es· W4322694643 on OpenAlexaff
Adriana R. Cruz, Ximena Hormaza, Juliana Díaz, Andrés Vidal, Janeth C. Villanueva, Giovanna Osorio, Marisol Rebolledo, Fernando P. Cárdenas

Bibliographic record

VenueBiomédica · 2005
Typearticle
Languagees
FieldMedicine
TopicSkin Protection and Aging
Canadian institutionsImpact
Fundersnot available
KeywordsSocioeconomic statusMedicinePsychologyIncidence (geometry)Ultraviolet radiationHealth educationEpidemiologyPublic healthDemographyFamily medicineGerontologyEnvironmental healthPopulationNursingSociology

Abstract

fetched live from OpenAlex

Introducción.Colombia está expuesta todo el año a altos índices de radiación ultravioleta.Aunque aún no se cuenta con estadísticas precisas del cáncer cutáneo, se sabe que este problema es una causa frecuente de consulta, presentándose cada día en personas más jóvenes.Por esta razón, se realizó un trabajo de foto-educación en colegios de estrato socioeconómico 1 a 4 en Cali.Objetivo.Determinar el impacto de la foto-educación en los conocimientos y prácticas de fotoprotección en una población escolar.Materiales y métodos.Se estudiaron 547 niños de kinder hasta tercero de primaria provenientes de cuatro colegios de estratos 1 a 4. Se evaluaron los conocimientos y hábitos en el tema mediante una encuesta.Un colegio estrato 1-2 y otro de estrato 3-4 recibieron el programa de foto-educación.Los dos colegios restantes, uno estrato 1-2 y otro estrato 3-4 fueron los controles no intervenidos.Posteriormente, se aplicó la misma encuesta en los cuatro colegios y se realizó el análisis estadístico para evaluar el impacto de la foto-educación, comparando los intervenidos con los no intervenidos.Resultados.Se evidenció un cambio estadísticamente significativo en los conocimientos y hábitos adecuados a favor de los colegios intervenidos.La foto-educación fue más efectiva en los estratos socioeconómicos más bajos.Discusión.Se demostró cómo con un programa sencillo se logró brindar foto-educación a niños de estratos 1 a 4, y cómo los estratos más bajos demostraron ser los más susceptibles de mejorar.Conclusiones.Se requiere un seguimiento en el tiempo para evaluar la duración de los conocimientos y convertir este tipo de programas en campañas continuas y generalizadas, preferentemente como parte del pensum escolar.Palabras clave: educación, prevención y control de neoplasmas cutáneos. Impact of a UV education program on the knowledge and behavior in elementary school childrenIntroduction.Colombians are exposed year round to high doses of ultraviolet radiation.Although no reliable epidemiological data are available for the incidence of skin cancer, it is a frequent pathology not limited to advanced age classes.Objective.The current study was done at elementary schools in Cali in zones categorized at socioeconomic levels 1 to 4 to evaluate the impact of a photo-education program for its effect on the knowledge and behavior of a group of elementary school children. Materials and methods.Five hundred forty-seven children from kindergarten to grade three were evaluated in 4 schools categorized in socioeconomic levels 1 to 4. The students were interviewed to evaluate their knowledge and behavior with regard to effects of UV exposure.One school rated at level 1-2 and one school at level 3-4 received education on UV protection.Other two schools, rated at levels 1-2 and 3-4 each received no education on UV protection.The questionnaire was repeated in the 4 schools, and a statistical analysis was done to evaluate the impact the education program had on educated and control groups.Results.The children that received the education program showed statistically significant improvement in behavior and knowledge.The education was more effective in low Biomédica 2005;25:533-8 CRUZ A.R.,HORMAZA X., DÍAZ J. et al socioeconomic level populations.Conclusions.Follow-up studies are required to evaluate how knowledge persists over time.The need of a public health campaign to educate children in skin cancer prevention is evident.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.115

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.001

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 head0.011
GPT teacher head0.316
Teacher spread0.306 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations3
Published2005
Admission routes1
Has abstractyes

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