Prevalence of health-risk behaviours among Canadian post-secondary students: descriptive results from the National College Health Assessment
Bibliographic record
Abstract
BACKGROUND: It is important to understand health-risk behaviours among young adults, as modifications in this can enhance and lessen the risk of chronic illness later in life. The purpose of the current study was to determine the prevalence of a broad range of health-risk behaviours among post-secondary students from across Canada, and to determine whether institutional variability exists in the prevalence of these behaviours. METHODS: Data were collected from 8,182 undergraduate students enrolled in one of eight Canadian post-secondary institutions during the fall or spring of 2009, using the National College Health Assessment (NCHA). The NCHA consists of 60 questions, assessing student health status and engagement in various health behaviours. RESULTS: Findings show relatively low prevalence in smoking (13.1%) marijuana (17.5%) or other illicit drug use (3.5%), and risky sexual behaviour (12%). Binge drinking, however, was much higher, with nearly 60% of students consuming more than 5 alcoholic drinks in a single occasion during the past 15 days. Similarly, prevalence rates for physical inactivity (72.2%), inadequate sleep (75.6%) and low fruit and vegetable intake (88.0%) were all high among the student population. Results also found that students in smaller institutions exhibited higher rates of inactivity, binge drinking, and marijuana and illicit drug use compared to institutions having a larger student body. CONCLUSION: Overall, findings point to the need for more concentrated health promotion campaigns, specifically targeting sleep, fruit and vegetables intake, and greater participation in physical activity. Given evidence of some institutional variability, future efforts are warranted in exploring how best to increase institutional commitment for collecting surveillance data on Canadian post-secondary students.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".