Fostering a Culture of Lifestyle Physical Activity That Is Relatable for All Individuals and Communities to Embrace
Bibliographic record
Abstract
Most American and Canadian adults do not obtain the recommended PA guidelines of 150 minutes of moderate to vigorous physical activity (MVPA) and muscle-strengthening activity each week. Decades of attempting to increase PA within the adult population have clearly fallen short. What do we know about adult preferences, barriers and perceptions to PA and exercise that can influence the way we promote, connect and educate communities to move in a way that is more meaningful for them and likely to continue throughout adulthood and beyond? The purpose of this mini-review is to provide a rationale for the need to promote community lifestyle PA in a variety of ways based on research findings that can help educate, inspire and motivate all populations to become more engaged in PA. Customized, tailored, community PA visuals which are culturally and environmentally specific will be presented. Community graphics representing a small town (MyGaffney Activity), a mid-size town (MyGuelph Activity), a US state (MySouthCarolina Activity), and an airport (MyAirport Activity) will be introduced. The ultimate goal is to incorporate an effective PA intervention through a lifestyle PA paradigm addition, which will emulate a more realistic, doable, enjoyable, and natural form of PA in addition to the already established traditional exercise model for the benefit of the public to increase PA levels and improve health outcomes.
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.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".