Grenada Heart Project–Community Health ActioN to EncouraGe healthy BEhaviors (GHP-CHANGE): A randomized control peer group–based lifestyle intervention
Bibliographic record
Abstract
BACKGROUND: The incidence of cardiovascular (CV) risk factors is increasing globally, with a disproportionate burden in the low and low-middle income countries (L/LMICs). Peer support, as a low-cost lifestyle intervention, has succeeded in managing chronic illness. For global CV risk reduction, limited data exists in LMICs. AIM: The GHP-CHANGE was designed as a community-based randomized trial to test the effectiveness of peer support strategy for CV risk reduction in the island of Grenada, a LMIC. METHODS: We recruited 402 adults from the Grenada Heart Project (GHP) Cohort Study of 2827 subjects with at least two CV risk factors. Subjects were randomized in a 1:1 fashion to a peer-group based intervention group (n = 206) or a self-management control group (n = 196) for 12 months. The primary outcome was the change from baseline in a composite score related to Blood pressure, Exercise, Weight, Alimentation and Tobacco (FBS, Fuster-BEWAT Score), ranging from 0 to 15 (ideal health = 15). Linear mixed-effects models were used to test for intervention effects. RESULTS: Participants mean age was 51.4 years (SD 14.5) years, two-thirds were female, and baseline mean FBS was 8.9 (SD 2.6) and 8.5 (SD 2.6) in the intervention and control group, respectively (P = .152). At post intervention, the mean FBS was higher in the intervention group compared to the control group [9.1 (SD 2.7) vs 8.5 (SD 2.6), P = .028]. When balancing baseline health profile, the between-group difference (intervention vs. control) in the change of FBS was 0.31 points (95% CI: -0.12 to 0.75; P = .154). CONCLUSIONS: The GHP-CHANGE trial showed that a peer-support lifestyle intervention program was feasible; however, it did not demonstrate a significant improvement in the FBS as compared to the control group. Further studies should assess the effects of low-cost lifestyle interventions in LMICs.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".