The Epidemiology of Psychiatric Disorders in Quebec's Older Adult Population
Bibliographic record
Abstract
OBJECTIVE: To document the prevalence of psychiatric disorders in Quebec's older adult population. METHOD: Data came from the Enquête sur la santé des aînés study conducted in 2005--2006 using a representative sample (n = 2798) of community-dwelling older adults. RESULTS: Our results indicate that 12.7% of the respondents met the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria for depression, mania, anxiety disorders, or benzodiazepine dependency. The 12-month prevalence rate of major depression was 1.1% and the prevalence of minor depression 5.7%. A total of 5.6% of the respondents reported an anxiety disorder. The most prevalent anxiety disorders were specific phobia (2.0%), obsessive-compulsive disorder (OCD) (1.5%), and generalized anxiety disorder (GAD) (1.2%). Agoraphobia without panic disorder and panic disorder were reported by 0.3% and 0.6% of the respondents, respectively. The prevalence rate of benzodiazepine dependency was 2.3%. The 12-month comorbidity prevalence rate between any psychiatric disorders was 2.2%. Among those with depressive disorder, the most frequent comorbidity was observed between minor depression and specific phobia (4.3%), GAD (4.3%), OCD (3.7%), and mania (1.3%). Further, only 39% of those having at least one active DSM-IV diagnosis reported having used health services for their psychological distress symptoms during the previous 12 months. Among those who consulted health services, 85% visited a general practitioner. CONCLUSIONS: Our results indicate that a large proportion of the elderly population in Quebec presents mental health needs. Longitudinal research focusing on the individual and social consequences of mental health problems reported by older adults is needed to avoid misinterpretation of this finding.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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".