Gender differences in and risk factors for depression in adolescence: A 4-year longitudinal study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it