Individual and social determinants of early sexual activity: A study of gender-based differences using the 2018 Canadian Health Behaviour in School-aged Children Study (HBSC)
Bibliographic record
Abstract
INTRODUCTION: Early sexual activity, often defined as initiation before the age of 16, is a risk behaviour associated with negative health outcomes in adulthood. The objective of this study was to explore links between early sexual activity and individual and contextual characteristics in Canadian youth, and whether these differ for girls and boys. METHODS: Data were from the 2018 Canadian Health Behaviour in School-aged Children (HBSC) survey administered in classrooms across Canada to students in grades 6 to 10 (ages 11 to 16). The sample includes the 7882 students in grades 9 and 10 who were asked about sexual activity. Individual and contextual measures used included emotional well-being, socioeconomic status, participation in team sports, body image, social media use, family structure, and family support. Descriptive data overall and separately for girls and boys are presented, followed by Poisson regression models to estimate relative risks and associated 95% confidence intervals for strength of associations between characteristics and early sexual activity. Models were adjusted for clustering by school using generalised estimating equations. RESULTS: Overall, contextual factors i.e. disrupted family structure or low family support were the characteristics most strongly associated with early sexual activity. Among boys there was an incremental and strong relationship between hours spent in organised sport and early sexual activity. Among girls, poorer body image, lower socioeconomic status, and higher social media use aligned most strongly with early sexual activity. CONCLUSION: Persistent gender stereotypes appear to underlie differences in individual and contextual factors associated with adolescents' sexual behaviour. Findings from this exploratory analysis may be of benefit to subsequent researchers, policy makers and those who care for youth.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 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".