The association of psychological symptoms with unintentional injuries among retired employees of a university in China
Bibliographic record
Abstract
To investigate the association of psychological symptoms with injury risk, psychological symptoms were measured using symptom checklist-90 revised (SCL-90-R) and the unintentional injury information was followed up for 1 year among retired employees at a university in China. The injury rate had a significant difference between groups of raw mean score > or =2.0 and <2.0 for SCL-90-R global factor and subscale factors of obsessive compulsiveness, interpersonal sensitivity, depression and anxiety. After accounting for the factors of daily housework, physical activities, living alone and demographic factors, SCL-90-R global factor (odds ratio (OR) = 1.87, 95% CI: 1.20-2.91) and subscales factors of obsessive compulsiveness (OR = 1.93, 95% CI: 1.31-2.85), interpersonal sensitivity (OR = 2.05, 95% CI: 1.09-3.02), depression (OR = 2.09, 95% CI: 1.40-3.12) and anxiety (OR = 1.58, 95% CI: 1.03-2.44) were still significantly associated with an elevated risk of unintentional injury among the retired employees. In order to reduce the risk of unintentional injuries among the elderly, a psychological health service should be provided in the community.
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How this classification was reachedexpand
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 | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".