Net Blood Pressure Reduction Following 9 Months of Lifestyle and High‐Intensity Interval Training Intervention in Individuals With Abdominal Obesity
Bibliographic record
Abstract
The authors aimed to study the impact of a combined 9-month lifestyle program (Mediterranean diet nutritional counselling, and high-intensity interval training twice a week) on blood pressure (BP) in individuals with abdominal obesity, taking into account the regression-to-the-mean phenomena. A total of 115 participants (53±9 years; 84 women; waist circumference [WC]: 111±13 cm; systolic/diastolic BP [SBP/DBP]: 133±13/82±8 mm Hg; 13% diabetics; 12% smokers; and 30% taking antihypertensive therapy) were retrospectively analyzed before and after the program. After 9 months, we observed an improvement in weight (-5.2±5.6 kg) and WC (-6.3±6.0 cm), and an average SBP/DBP net decrease of -5.1±13.7/-2.8±8.7 mm Hg. These changes were not uniform: 67 participants (58%) decreased their SBP by 2 mm Hg or more. The characteristics of responders included a higher baseline BP than nonresponders (SBP/DBP: 137.2±13.7/83.1±7.3 mm Hg vs 127.0±10.3/80.0±7.3 mm Hg, P<.05) and a higher proportion of participants with a baseline BP ≥130/85 mm Hg (81% vs 52%, P=.001) or with the metabolic syndrome (75% vs 54%, P=.02).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".