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Record W4413162570 · doi:10.63564/jnep.v15n9p7

An evaluation of nutrition education in baccalaureate nursing programs across the county

2025· article· en· W4413162570 on OpenAlexvenueno aff
Jane Dimmitt Champion

Bibliographic record

VenueJournal of Nursing Education and Practice · 2025
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumNutrition EducationMedicineMedical educationNursingDescriptive statisticsFamily medicinePsychologyGerontologyPedagogy

Abstract

fetched live from OpenAlex

Background: Obesity in the United States plagues 70% of adults and over 30 million are diagnosed with diabetes. Research confirms diet as the most significant risk factor, yet this is not being disseminated to providers. Extensive research exists confirming the lack of nutrition education in medical programs, while little exists within nursing programs. Methods: Eighty United States baccalaureate nursing programs were evaluated for nutrition content along with a survey of the faculty regarding their opinions of the nutrition curriculum. Program evaluation and survey data were analyzed using descriptive statistics. Results: Among baccalaureate nursing programs, 66% of programs required a nutrition course, averaging 2 hours while 34% of programs had no nutrition requirement, and only 16% had evidence-based nutrition content. Conclusions: Medical school curricula are moving to include evidence-based nutrition content. Nursing is compelled to address this curriculum deficit thereby facilitating appropriate dissemination of evidence-based nutrition education.

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)0.010
metaresearch head score (Gemma)0.013
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.135
GPT teacher head0.563
Teacher spread0.429 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Nursing Education and Practice→Same topicNutrition and Health in Aging→French-language works237,207→