How Best to Imagine: Comparing the Effectiveness of Physical Activity Imagery, Possible Self and Combined Interventions on Physical Activity and Related Outcomes
Bibliographic record
Abstract
Mental imagery and possible-selves interventions can help to improve physical activity (PA) in a variety of populations. Currently, no study has combined these two interventions to test the efficacy or possible synergistic effect. This study investigated the efficacy of a one-time exposure to one of three parallel interventions: imagery, possible selves, and combined, on exercise and self-efficacy, compared to a control group who were given nutritional information as an intervention. One hundred and twelve participants were randomized and provided data at three time points – eligibility screening, post-intervention, and 4-week follow-up. There were no significant group by time interactions or group differences. Main effects for time and exercise showed all participants increased in exercise suggesting that there are no advantages of the interventions. We discuss reasons why this may have occurred and suggest several areas for future researchers to expand upon, including replication with more exposure to interventions.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".