One-Year Incidence of Psychiatric Disorders in Quebec's Older Adult Population
Bibliographic record
Abstract
OBJECTIVE: To examine the incidence of psychiatric disorders in the Quebec older adult population. METHOD: Data from the Enquête sur la Santé des Aînés (ESA) study conducted in 2005 to 2008 using a representative sample (n = 2784) of community-dwelling adults aged 65 years and older were used. RESULTS: The ESA study's results indicate that 12.0% of the respondents met the Diagnostic and Statistical Manual of Mental Disorders (DSM), Fourth Edition, criteria for depression, mania, anxiety disorders, or benzodiazepine drug dependency at the baseline interview. Our results also indicate that the 12-month rate of incident cases of DSM-IV disorders was 6.2%. The proportion of incident cases was higher for the depression group (3.4%) than for the anxiety disorders group (2.3%). The results showed that the probability to develop an incident psychiatric condition after 1 year of follow-up, compared with the noncases group, varied according to sex (OR 2.18; 95% CI 1.39 to 3.44). Our results also showed that the number of chronic health problems (OR 1.20; 95% CI 1.09 to 1.33) and the change in the number of chronic health problems reported between the baseline and the second interview (OR 1.14; 95% CI 1.01 to 1.30) increased the probability to be an incident case at Time 2. The results indicated that social support did not influence the probability to develop a psychiatric disorder. CONCLUSION: These results indicate that sex and physical health status have an impact on the incidence of DSM-IV disorders in the elderly. This finding underscores the need for improved recognition and treatment of psychiatric disorders associated with physical illness in the older population.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".