A Randomized Controlled Trial to Examine the Relationship Between Peer Mentoring for Physical Activity and Cardiometabolic Health
Bibliographic record
Abstract
Background: Studies examining the effect of peer mentoring on physical activity levels have been conducted in mostly elderly and young populations, and the results have been inconsistent. This study examined the impact of one-on-one peer mentoring on physical activity and cardiometabolic parameters in urban adults. Methods: The study participants were 353 overweight or obese adults residing in Abuja, Nigeria. They were randomized into two groups, peer-mentored (n = 128) and a control (n = 225) group. All the participants received nutritional counseling and were invited to attend instructor-led physical activity sessions each week for six months. Differences in the frequency, duration, and intensity of physical activity and cardiometabolic parameters, including body fat, muscle mass and lipids, were evaluated within and between the groups with t and rank sum tests. Results: At the end of the study period, the average time spent on physical activity increased significantly by 14% (p = 0.006), and the average time spent on vigorous physical activity increased by 99% (p = 0.003) compared to baseline for participants in the peer-mentored group. For those in the control group, the average time spent on physical activity decreased significantly by 7% (p = 0.03), while the average time spent on vigorous physical activity increased by 30%, but this was not statistically significant (p = 0.34). In both groups, there were significant improvements in the total cholesterol, low- and high-density lipoproteins and triglycerides levels, at the end of the study period, compared to baseline. Conclusions: In these overweight or obese adults, we observed that peer mentoring was positively associated with increased physical activity. Peer mentoring also holds great promise for improving cardiometabolic health and promoting a healthy lifestyle in adults.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| 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".