The Association Between Depression and Traumatic Brain Injury in Older Adults: A Nested Matched Case Control Study
Bibliographic record
Abstract
OBJECTIVE: Determine association between depression and traumatic brain injury (TBI) in the older adult home care population of Ontario, Canada (2003-2013). METHOD: A nested matched case control study was used, and data were retrieved for service users 65 years or older who received home care between 2003 and 2013. Incident TBI cases were matched to four controls by sex, age, and assessment date. Odds ratios and multivariable conditional logistic regression were completed. RESULTS: 554,313 service users were included of which 5,215 (0.9%) had a TBI and 39,048 (7.0%) had depression. Fall history was an effect modifier. The association between depression and TBI was 1.10 (95% confidence interval [CI] = [0.93, 1.31]) for those without a history of falling, while for those with a history of falling it was 1.24 (95% CI = [1.03, 1.48]) after adjusting for education and Alzheimer's disease. DISCUSSION: Depression is associated with sustaining a TBI in those with a history of falling.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".