Low risks for spiritual highs: Risk-taking behaviours and the protective benefits of spiritual health among Saskatchewan adolescents
Bibliographic record
Abstract
Objectives: Adolescent risk-taking behaviours, such as substance use and early sexual activity, can adversely impact physical health and psychosocial development. A connection to spiritual health may buffer against the negative health impacts of several risk-taking behaviours. The aim of this study was to determine if higher spiritual health was associated with lower risk-taking behaviours among school-attending adolescents in Saskatchewan, Canada. Methods: A representative sample of 4,751 adolescents in the Canadian province of Saskatchewan completed the Health Behaviour of School-aged Children (HBSC) questionnaire during the 2014 to 2015 school year. The main risk-taking behavioural outcomes were self-reported: smoking; alcohol; and cannabis use; as well as sexual intercourse. The main exposures related to spiritual health included four factors: connectedness to (1) one's self; (2) others; (3) nature; and (4) notions of the transcendent. Multivariable logistic regression analyses were used to test for associations between exposures and outcome measures. Results: The sample was balanced across gender, primarily Caucasian (71%), and primarily ages 11 to 15 years (48%). Adolescents indicated a high prevalence of spiritual health. Across all adjusted models, the results demonstrated that adolescents who value the various components of spiritual health showed a decreased likelihood of engaging in cigarette smoking, alcohol and marijuana use, and sexual intercourse. Conclusion: The findings indicate the potential for spiritual health to be considered as the basis for public- and community-health interventions, pending further evidence from experimental studies.
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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 | 0.000 | 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 | 0.002 | 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".