Gender differences in and risk factors for depression in adolescence: A 4-year longitudinal study
Bibliographic record
Abstract
The current study used longitudinal data (N 1/4 1322; 648 males, 674 females) from adolescents ages 12 to 19 years (in 1994) to investigate gender differences in and risk factors for depressive symptoms and major depressive episodes (MDEs). The sample had participated in three waves of Canada’s National Population Health Survey (1994, 1996, and 1998). Results showed that although there was not a statistically significant increase in depressive symptoms in early adolescence, there was a robust gender difference in the levels of depressive symptoms and the prevalence of MDE, with girls more affected than boys. Over time, decreases in social support and increases in smoking were both linked to increases in depressive symptoms. Moreover, youth who smoked and who were free from major depression in 1994 were 1.4 times more likely to report a MDE in 1996 or 1998. To be effective, prevention and treatment programmes for depression may also need to address risks such as poor social support and smoking, as these risk factors may serve to maintain depressive symptoms over time.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".