Abstract P235: Employing the DASH Diet to Treat Non-dippers: A Two-month Intervention Study
Bibliographic record
Abstract
Introduction: Hypertensive patients with abnormal circadian blood pressure patterns, including a lack of nocturnal blood pressure dipping or rises in blood pressure from daytime to night-time, are at an increased risk for numerous cardiovascular events including strokes, heart failure and renal failure. Currently, limited therapeutic strategies exist to treat non-dippers. In this study, we examine the role of obesity on circadian blood pressure patterns and the impact of lifestyle intervention on nocturnal dip. Methodology: 24-hour ambulatory blood pressure monitoring was performed before and after a 2-month intervention employing the DASH diet and lifestyle program with a targeted 5% weight loss in 80 volunteers. 20 control patients had a healthy nocturnal dip, 30 patients had a non-dipping blood pressure pattern, and 30 patients had a rise in blood pressure nocturnally from daytime. Results: At baseline, there was a linear correlation between individuals' BMI and nocturnal blood pressure aberrancies (r= 0.60, p<0.0001). The control group had the lowest average BMI of 28.1 kg/m2. Non-dippers had a slightly higher average BMI of 30.3 kg/m2, and those with a rise in blood pressure nocturnally had the greatest average BMI of 35.3 kg/m2. After the two-month lifestyle intervention, individuals who achieved weight loss had significantly greater average reductions in nocturnal blood pressure (24.3 mm Hg), compared to daytime (12.1 mm Hg), resulting in the restoration of a more normal nocturnal dip and circadian blood pressure pattern. Non-dippers who achieved a 5% reduction in weight during the intervention had an average 8.31% nocturnal dip by the end of the study. Individuals who lost less than 5% of their weight or who gained weight continued to have a non-dipping blood pressure pattern by the end of the study. Conclusions: The results of this study would suggest that perhaps reducing weight by adhering to the DASH diet and lifestyle intervention could be examined as therapeutic avenues for non-dippers in the future. The long-term effects of a restoration of normal circadian blood pressure pattern warrants further investigation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".