Sense of community-belonging and health-behaviour change in Canada
Bibliographic record
Abstract
BACKGROUND: Research indicates that primary prevention targeting individual behaviours should incorporate contextual factors. The objectives of this study are to examine the role of community-belonging and contextual factors on health-behaviour change in Canada, and whether the influence of community-belonging on behaviour change varies by specific types of behaviours and contextual factors. METHODS: Data on individual-level community-belonging, socio-demographics and self-rated health were obtained for 119 693 respondents from the 2007/2008 Canadian Community Health Survey located within 100 health regions across Canada. Contextual factors were based on health-region groupings of socio-economic determinants of health. Multilevel models were used to estimate the influence of community-belonging and health-region contextual factors on general, and specific, health-behaviour changes in the past year. RESULTS: After controlling for individual and contextual factors, community-belonging showed a positive dose-response relationship with health-behaviour change. Health-region contextual factors were only slightly associated with behaviour change; however, the influence of community-belonging on behaviour change showed significant variability based on health-region contextual factors. The influence of community-belonging also varied by specific health-behaviour changes, but for most prominent health behaviours (exercise, weight loss and improved diet) the effect was consistent. CONCLUSIONS: Community-belonging was strongly related to health-behaviour change in Canada and may be an important component of population health prevention strategies. Efforts to increase community-belonging, however, need to be considered along with contextual factors.
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How this classification was reachedexpand
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 | 0.051 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.005 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".