Exploring the relationship between sleep duration and sense of community belonging: Insights from the 2015-16 Canadian Community Health Survey
Bibliographic record
Abstract
OBJECTIVE: The Canadian 24-Hour Movement Guidelines for Adults and National Sleep Foundation recommend a sleep duration of 7-9hours for working aged adults aged 18-64 and 7-8hours for older adults aged 65+. While various factors associated with sleep duration have been identified in studies, the association between sleep duration and a sense of community belonging-a factor crucial for overall health-remains largely unexplored. METHODS: To fill this gap, we utilized the 2015-16 Canadian Community Health Survey to investigate this association among working aged-adults 18-64 and older adults aged 65+ using multivariable multinomial logit models. RESULTS: Our findings indicate that working-aged adults with a somewhat weak (RRR = 1.18, 95% CI = 1.02, 1.37) or very weak (RRR = 1.29, 95% CI = 1.05, 1.56) sense of community belonging are more likely to report "short duration" compared to those with a very strong sense of community belonging. Similarly, working-aged adults with a very weak sense of community belonging (RRR = 1.66, 95% CI = 1.02, 2.69) are more likely to report "long duration." However, no significant relationship was found between sense of community belonging and sleep duration among older adults. CONCLUSION: Our study highlights the association between sense of community belonging and sleep duration among working-aged adults and older adults in Canada.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| 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".