Health economics and nutrition: a review of published evidence
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The relationship between nutrition and health-economic outcomes is important at both the individual and the societal level. While personal nutritional choices affect an individual's health condition, thus influencing productivity and economic contribution to society, nutrition interventions carried out by the state also have the potential to affect economic output in significant ways. This review summarizes studies of nutrition interventions in which health-related economic implications of the intervention have been addressed. Results of the search strategy have been categorized into three areas: economic studies of micronutrient deficiencies and malnutrition; economic studies of dietary improvements; and economic studies of functional foods. The findings show that a significant number of studies have calculated the health-economic impacts of nutrition interventions, but approaches and methodologies are sometimes ad hoc in nature and vary widely in quality. Development of an encompassing economic framework to evaluate costs and benefits from such interventions is a potentially fruitful area for future research.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it