Depression associated with sexually transmitted infection in Canada
Bibliographic record
Abstract
OBJECTIVE: This study was conducted to determine the association between sexually transmitted infection (STI) and the prevalence of depression among the general Canadian population. METHODS: The analysis was based on data from the Canadian Community Health Survey conducted in 2003 and included 21,560 participants aged 15-49 years. A logistic regression model was used to examine the association between depression and STI history after taking confounding factors (gender, age, marital status, household size, income, education, immigrant status, alcohol use, smoking status and number of chronic diseases) and effect modifiers into consideration. RESULTS: Of the study subjects, 5.3% reported having a history of STI and 7.9% had depression. STI history was significantly associated with depression, with an odds ratio of 1.5 (95% CI 1.1 to 2.2) for men and 1.8 (95% CI 1.4 to 2.3) for women. The association was significant in men younger than 35 years but was not significant in older men. The association tended to be stronger in men who had a high level of income. The association between STI and depression was relatively consistent among female subpopulations. CONCLUSION: There is a significant association of depression with STI. Health professionals should be aware that groups of STI patients are more likely to have depression and deal with it accordingly.
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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 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".