An evaluation of nutrition education in baccalaureate nursing programs across the county
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".