Randomized Controlled Trial of Mindfulness-Based Stress Reduction for Prehypertension
Bibliographic record
Abstract
OBJECTIVE: Mindfulness-based stress reduction (MBSR) is an increasingly popular practice demonstrated to alleviate stress and treat certain health conditions. MBSR may reduce elevated blood pressure (BP). Treatment guidelines recommend life-style modifications for BP in the prehypertensive range (systolic BP [SBP] 120-139 mm Hg or diastolic BP [DBP] 80-89 mm Hg), followed by antihypertensives if BP reaches hypertensive levels. MBSR has not been thoroughly evaluated as a treatment of prehypertension. A randomized clinical trial of MBSR for high BP was conducted to determine whether BP reductions associated with MBSR exceed those observed for an active control condition consisting of progressive muscle relaxation (PMR) training. METHODS: Fifty-six men (43%) and women (57%) averaging (standard deviation) 50.3 (6.5) years of age (91% white) with unmedicated BP in the prehypertensive range were randomized to 8 weeks of MBSR or PMR delivered in a group format. Treatment sessions were administered by one treatment provider and lasted approximately 2.5 hours each week. Clinic BP was the primary outcome measure. Ambulatory BP was a secondary outcome measure. RESULTS: Analyses were based on intent to treat. Patients randomized to MBSR exhibited a 4.8-mm Hg reduction in clinic SBP, which was larger than the 0.7-mm Hg reduction observed for PMR (p = .016). Those randomized to MBSR exhibited a 1.9-mm Hg reduction in DBP compared with a 1.2-mm Hg increase for PMR (p = .008). MBSR did not result in larger decreases in ambulatory BP than in PMR. CONCLUSIONS: MBSR resulted in a reduction in clinic SBP and DBP compared with PMR. Trial Registration ClinicalTrials.gov identifier: NCT00440596.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".