Risk of depression and multiple sexual risk-taking behaviours in adolescents in Nova Scotia, Canada
Bibliographic record
Abstract
BACKGROUND: Although depression is known to be associated with adolescent sexual risk-taking, Canadian studies are few, many have lacked appropriate controls and none has examined the associations of depression with multiple sexual risk-taking behaviours. We tested associations between multiple sexual risk-taking and risk of depression, controlling for other factors, including social capital, in high school students in Nova Scotia, Canada. METHODS: We surveyed sexually active male (n=418) and female (n=467) adolescents. Participants were asked about their risk of depression, perceptions of social capital, substance use, sociodemographic factors and sexual behaviours. Multinomial logistic regressions were used to determine associations of risk of depression with various levels of sexual risk-taking. RESULTS: In unadjusted models, risk of depression was associated with two or more v. no sexual risk behaviours among both males and females. After controlling for other variables, risk of depression remained significantly associated with two or more sexual risks v. no risks for both females and males (relative risk ratios (RRR) of 2.5; 95% confidence interval (CI) 1.4-4.5 and 3.5; 95% CI 1.6-7.82 respectively) and for one v. no risks for females (RRR=1.9; 95% CI 1.1-3.5). One measure of social capital was associated with multiple risks in females. CONCLUSIONS: The consistent, independent associations of risk of depression with multiple sexual risks should lead health care workers interacting with adolescents to ask about sexual risk behaviours among patients with symptoms of depression. Alternatively, patients who engage in sexual risk-taking might be screened for depression.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.002 | 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".