Religious Involvement and Health-Related Behaviors Among Black Seventh-Day Adventists in Canada
Bibliographic record
Abstract
BACKGROUND: Most studies that involve Black Seventh-Day Adventists (SDAs) have been conducted in the United States. We sought to examine the association between religious involvement and lifestyle practices among Black SDAs in Canada. METHOD: A convenience sample of 509 Black SDA church members 18 years and older completed a self-administered questionnaire, assessing religious involvement and seven lifestyle practices promoted by the SDA church: diet, physical activity, water intake, exposure to sunlight, alcohol use, caffeine and tobacco use, and rest. RESULTS: Compliance with lifestyle practices ranged from a low of 10% meeting fitness guidelines to a high of 99% abstaining from tobacco products. Religious involvement and lifestyle were positively related (rs = .11, p < .05). Multivariate analyses indicated that private religious practice (β = .16, p =.003), importance of the health principles (β = .17, p = .003), and acceptance of health principles (β = .65, p = .00001) significantly predicted the number of behaviors practiced. CONCLUSION: Greater religious involvement is associated with positive lifestyle practices but is not an independent predictor of lifestyle practices for Black Canadian SDAs.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".