Using the intervention mapping protocol to promote school-based physical activity among children: A demonstration of the step-by-step process
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
Objective: This study describes the step-by-step development of the I Mo ve30+ programme and outlines lessons derived from the authors’ experience using an intervention mapping protocol (IMP)-based programme design. The programme was designed to increase the moderate to vigorous physical activity (PA) level at school among Lebanese children, aged 10–12 years. Design: Participatory cross-sectional design including group and individual interviews. Setting: Sidon district of Lebanon. Method: The programme was co-designed with a planning committee and included a local leader in school health, school staff including nurses and members of the target population (schoolchildren). The programme was developed using the six steps of the IMP: elaborating a logic model of the problem, formulating programme objectives, choosing the theoretical methods (i.e. the theory-based techniques used to influence a change objective) and practical applications (i.e. the applied strategies based on those theoretical methods), designing the programme, planning programme implementation, and planning the evaluation. Participants’ involvement in the programme’s activities was entirely voluntary. Results: Implemented by teachers and school nurses, this 14-week school-based programme was designed to provide an additional 30 minutes of school-based PA per day through structural environmental change, educational activities, a PA-monitoring system and PA events at school and in the classroom as well as during recess. Conclusion: IMP enabled the rigorous and systematic development of the programme to improve children’s PA level. The programme description and the lessons learned can facilitate the replication and the scaling up of the programme in other settings.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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