Lifestyle Changes and Blood Pressure Control: A Community‐Based Cross‐Sectional Survey (2006 Ontario Survey on the Prevalence and Control of Hypertension)
Bibliographic record
Abstract
Lifestyle Changes and Blood Pressure Control: A Community-Based Cross-Sectional Survey (2006 Ontario Survey on the Prevalence and Control of Hypertension)To the Editor: We read with interest the Fodor and colleagues 1 article in your January issue wherein the authors asserted, in our opinion most erroneously, that ''when a comparison is made between drug treatment and lifestyle changes, the outcomes of lifestyle interventions in real life are disappointing.''We would counter that drug therapy is not the only proven method of reducing blood pressure (BP) and most guidelines that recommend lifestyle changes for BP reduction are based on solid efficacy trials, including the Trials of Hypertension Prevention (TOHP), Dietary Approaches to Stop Hypertension (DASH), Prevention of Myocardial Infarction Early Remodeling (PREMIER), and Trial of Nonpharmacologic Interventions in the Elderly (TONE), to mention a few.This is especially true for patients who have stage 1 hypertension.In a recent PREMIER follow-up study, patients assessed 18 months later continued to have reduced BP, demonstrating the effectiveness of lifestyle changes. 2 In the TONE trial, a greater percentage (23%) of older adults who received the lifestyle intervention remained normotensive (following medication withdrawal) at the 48-month follow-up than those who received usual care (7%).3 Furthermore, the conclusion that ''practicing lifestyle changes did not add a beneficial effect to BP control compared with antihypertensive treatment with medications only'' cannot be supported by this data.First, the authors' comment is based on crosssectional surveys with a relatively small sample of 733 hypertensive individuals, rather than on studies designed to test the comparative effectiveness of drug therapy vs lifestyle changes on BP control.Second, data were not presented on the actual degree of medication adherence or amount of lifestyle change.Rather, the assessment asked participants ''whether they were using any nonpharmacologic and ⁄ or lifestyle treatments for BP control.''Although the authors note this limitation, they nevertheless reach beyond the limits of their data to minimize the effectiveness of lifestyle change for BP reduction.
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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 | 0.006 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".