The Effects of Branding on Physical Activity: A Systematic Review
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
It is important to increase the number of people regularly physically active to enhance health. Physical activity (PA) promotion organizations with strong brands may be more effective at motivating PA. However, these organizations must know which brand equity variables (e.g., brand awareness) to prioritize in their marketing. No previous review has examined whether brand equity variables are associated with PA-related variables. The primary objective of this study was to learn whether brand equity variables are associated with PA behaviors (e.g., moderate or vigorous PA). A secondary objective was to evaluate whether brand equity variables are associated with potential correlates of PA (e.g., self-efficacy). In addition to other search methods, four databases were searched for articles (PsycINFO, MEDLINE, SPORTDiscus, Business Source Complete). Thirty articles met the eligibility criteria. Regarding behavior, brand awareness and associations were associated with moderate or vigorous PA but not less intense activities such as walking. For correlates, brand awareness was associated with self-efficacy, outcome expectations, attitude, and parental approval of child PA. Brand associations were only associated with attitude. Age and brand awareness measure emerged as moderators of the awareness to moderate or vigorous PA relationship. Future research should examine the antecedents of brand awareness and use experimental designs.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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