Abstract FR466: DASH Diet and Dietary Nitrates in Blood Pressure Reduction: A Systematic Review of Nutritional Interventions
Bibliographic record
Abstract
Introduction: The DASH diet, along with increasing greens and beets, can help reduce blood pressure. While the benefits of DASH are well-established, much of the blood pressure-lowering effect of nitrate-rich foods comes from their ability to boost nitric oxide production. No prior study has looked at both approaches together. We formally reviewed research studies to see how the DASH diet and taking dietary nitrates affected blood pressure. Hypothesis: Both the DASH diet and interventions with dietary nitrates lead to better blood pressure results than either one when applied separately, as the diet focuses on electrolyte management, and DASH and dietary nitrates utilise the nitrate, nitrite, and nitric oxide pathway to relax blood vessels. Methods: We included studies in our review that examined changes in blood pressure due to the DASH dietary pattern or dietary nitrate interventions, as required by PRISMA. From all the studies we looked at, we included 17 studies that examined the effects of the DASH diet or dietary nitrate interventions (12 randomized controlled trials and 5 observational studies). Sections measuring systolic and diastolic blood pressure changes and hypertension incidence were studied. The Cochrane Risk of Bias tool was used to assess RCTs, while the Newcastle-Ottawa Scale was used to determine observational studies. Results: When people with high blood pressure followed the DASH diet, systolic blood pressure was reduced by 5-10 mmHg from a reference diet. In contrast, less significant but important reductions occurred in people with normal blood pressure. Taking dietary nitrate, such as beetroot juice or nitrate-rich vegetables, produced average systolic BP decreases of 3 to 7 mmHg. Observational studies agreed with these results: individuals who ate a DASH-like diet or had high nitrate vegetable intake usually had better blood pressure and a lower chance of hypertension. Most of the RCTs were of high quality, but the observational evidence was of a moderate level. Conclusions: Both the DASH diet and nitrate-rich foods appear to be effective in reducing high blood pressure. Our assessment points out that diet can be an important, non-medication way to control blood pressure. The results back efforts to use DASH diet recommendations in medical guidelines and include nitrate-rich vegetables for better hypertension management.
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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 | 0.011 | 0.045 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.008 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".