Bibliographic record
Abstract
OBJECTIVE: A population-based sample of 4948 men and women aged 40 or older who did not have heart disease in 1994/1995 were followed to 2006/ 2007 to determine if depression was associated with increased risk of heart disease diagnosis or death. DATA SOURCES: Data from seven cycles of the National Population Health Survey (NPHS), 1994/1995 through 2006/2007, were used for longitudinal analysis. Prevalence estimates of heart disease and depression in the population aged 40 years or older were based on the 2002 Canadian Community Health Survey 1.2: Mental Health and Well-being. ANALYTICAL TECHNIQUES: The association between depression and heart disease was analyzed with separate proportional hazards models for men and women, adjusting for socio-demographic characteristics and heart disease risk factors. MAIN RESULTS: Among people aged 40 or older and free of heart disease in 1994/1995, 19% of men and 15% of women had developed or died from heart disease by 2006/2007. The risk of heart disease was significantly higher for women who had depression, but not for men. When heart disease events occurring within two years of baseline were removed, depression was not significantly associated with heart disease risk among women or men.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".