Bibliographic record
Abstract
PURPOSE OF REVIEW: The health benefits of physical activity and exercise are clear; virtually everyone can benefit from becoming more physically active. Most international guidelines recommend a goal of 150 min/week of moderate-to-vigorous intensity physical activity. Many agencies have translated these recommendations to indicate that this volume of activity is the minimum required for health benefits. However, recent evidence has challenged this threshold-centered messaging as it may not be evidence-based and may create an unnecessary barrier to those who might benefit greatly from simply becoming more active. This systematic review evaluates recent systematic reviews that have examined the relationship between physical activity and health status. RECENT FINDINGS: Systematic reviews and/or meta-analyses (based largely on epidemiological studies consisting of large cohorts) have demonstrated a dose-response relationship between physical activity and premature mortality and the primary and secondary prevention of several chronic medical conditions. The relationships between physical activity and health outcomes are generally curvilinear such that marked health benefits are observed with relatively minor volumes of physical activity. SUMMARY: These findings challenge current threshold-based messaging related to physical activity and health. They emphasize that clinically relevant health benefits can be accrued by simply becoming more physically active. VIDEO ABSTRACT: http://links.lww.com/HCO/A42.
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 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".