Sedentary behavior among adults: The role of community belonging
Bibliographic record
Abstract
Sedentary behavior is a modifiable determinant of health. Little is known about the ways in which contextual factors may influence this behavior. The objectives of this study were to: (1) examine the association between community belonging and adult sedentary behavior during leisure; (2) determine if this association was explained by perceived health. Data were derived from the 2010 Canadian Community Health Survey (N = 11,494 adults). Multinomial regression models and 99% confidence intervals were used to examine associations between sense of community belonging and sedentary behavior, adjusting for sociodemographic variables and perceived health. On average, adults were sedentary for 20-24 h per week during leisure. More than a third of the sample reported low sedentary behavior (≤ 19 h a week). In a fully adjusted model participants who were female, in middle adulthood, married, and/or living in higher income households were less sedentary during leisure. Adults with a strong sense of community belonging were also significantly less sedentary during leisure; this association remained significant after adjustment for perceived mental and overall health. Most efforts to address sedentary behavior have focused on individual-level interventions. The present finding highlights the role that larger contextual factors may play in sedentary behavior. Sense of community belonging is a contextual determinant of health that may serve as a useful target for interventions designed to reduce adult sedentary behavior during leisure.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".