Blood Pressure Success Zone: You Auto Know A Worksite-Based Program to Improve Blood Pressure Control Among Auto Workers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Worksite-based wellness programs can be a means to improve employee health awareness and potentially reduce health care costs. The "BP Success Zone: You Auto Know" program was a worksite-based intervention to reduce the incidence of hypertension among auto workers at Chrysler LLC. This 6-month program comprised an intervention consisting of education, awareness, and support intended to intensify the engagement of Chrysler employees at moderate-to-high cardiovascular risk who were not adequately controlling their blood pressure. The 539 participants had systolic blood pressure of ≥ 120 mmHg, diastolic blood pressure of ≥ 80 mmHg, or were told by a health care provider that they had hypertension. Questionnaires compared awareness and knowledge of hypertension and lifestyle choices before and at the end of the intervention. After the 6-month intervention, mean systolic blood pressure had decreased from a baseline value of 133 mmHg to 129 mmHg (P < 0.0001) and mean blood diastolic pressure had decreased from 85 mmHg to 82 mmHg (P < 0.0001). The proportion of participants with controlled blood pressure increased from 52% to 62% (P < 0.0001) over the course of the intervention. Eighty-six percent of the participants reported that the program helped them to better understand and control their blood pressure and 84% reported that they had a better understanding of their treatment options. In conclusion, a program of hypertension awareness, education, and lifestyle modification helped to improve blood pressure control among a group of Chrysler LLC employees.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it