Effect of Socioeconomic Status on Food Availability and Cost of the Dietary Approaches to Stop Hypertension (DASH) Dietary Pattern
Bibliographic record
Abstract
The authors assessed food availability and cost of the Dietary Approaches to Stop Hypertension (DASH) dietary pattern and patients' opinion concerning diet and blood pressure by surveying grocery stores and clinic patients in low- and high-socioeconomic status (SES) areas of Boston, Massachusetts. The proportion of DASH items found in stores in low- and high-SES communities was not significantly different (46.5% compared with 75%; P=.2896). The cost of eating a DASH meal plan was significantly more expensive in high-SES communities (dollars 40.20 compared with $30.73 per week; P=.0413). The authors' results suggest that DASH diet foods are available in low- and high-SES communities, but there is a strong trend toward less food availability in low-SES communities. Eating the DASH diet, however, is more expensive in high-SES communities. Increased information, food availability, and affordability are likely to lead to more widespread adoption of the DASH diet.
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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 | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".