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Record W4417415404 · doi:10.62305/biosana.v5i5.883

Relación entre los hábitos alimentarios y el rendimiento académico en adolescentes: una revisión sistemática 2015–2025

2025· article· W4417415404 on OpenAlexaboutno aff
Kathiusca Paola Echeverría Caicedo, T Echeverria, Gabriela de Jesús Vásquez Espinoza, Edgar Rolando Morales Caluña

Bibliographic record

VenueRevista Científica de Salud BIOSANA · 2025
Typearticle
Language
FieldHealth Professions
TopicHealth and Lifestyle Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFood consumptionConsumption (sociology)Affect (linguistics)Feeding behavior

Abstract

fetched live from OpenAlex

La adolescencia constituye una etapa crítica para la consolidación de hábitos alimentarios y patrones de aprendizaje. En los últimos años, la literatura científica ha evidenciado que la calidad de la dieta, el consumo regular de desayuno y la reducción de alimentos ultraprocesados influyen positivamente en la atención, la memoria y el rendimiento académico. Este estudio tuvo como objetivo sintetizar la evidencia empírica publicada entre 2015 y 2025 sobre la relación entre los hábitos alimentarios y el rendimiento académico en adolescentes. Se realizó una revisión sistemática conforme a la declaración PRISMA 2020, mediante búsquedas en PubMed, SciELO y ScienceDirect. Se incluyeron estudios observacionales en población de 10 a 19 años que evaluaron patrones alimentarios y rendimiento académico con instrumentos validados. De 1 387 registros identificados, se seleccionaron 19 artículos de alta y moderada calidad según la escala Newcastle–Ottawa. Los resultados muestran que la ingesta equilibrada, el desayuno diario y la adherencia a la dieta mediterránea se asocian con mejores calificaciones, menor fatiga y mayor estabilidad emocional. En contraste, la omisión del desayuno, el consumo elevado de productos ultraprocesados y el estrés académico se relacionan con un menor desempeño escolar. En conclusión, la evidencia indica que los hábitos alimentarios saludables actúan como determinantes del rendimiento académico y sugieren la necesidad de fortalecer las políticas de educación nutricional en el entorno escolar y familiar.

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)0.006
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.776
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.004
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0030.002

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.

Opus teacher head0.027
GPT teacher head0.407
Teacher spread0.380 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2025
Admission routes1
Has abstractyes

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