Prevalence of Mental Disorders in a Canadian Household Population with Dementia
Bibliographic record
Abstract
BACKGROUND: Medical and mental health comorbidity in Alzheimer's disease and other dementias presents difficult challenges for health service delivery. However, existing studies have been conducted in clinical samples and may not be informative for planning community services. The Canadian Community Health Survey (CCHS) provides an opportunity to characterize associations between dementias and mental and physical comorbidity in a household population aged 55 and over. METHODS: Data were obtained from the 2005 CCHS-cycle 3.1. Weighted estimates for mood and anxiety disorders and other characteristics in Canadian population with dementia were calculated and were compared to those in people without the condition. RESULTS: According to the CCHS, the prevalence of Alzheimer' s disease and other dementia increases with age, more or less doubling every decade. The increase among women is monotonic, whereas among men in the household population the rate of dementia peaks at age 85-89 and falls thereafter. Mood and anxiety disorders were found to be substantially more frequent among people with Alzheimer's disease and other forms of dementia compared to those without the disease (mood disorders: 19.5% vs. 5.3% and anxiety disorders: 16.3% vs. 4.0%). Heart disease, stroke and obesity were associated with dementia as was a lower level of education. Furthermore, people with dementia were more likely than those without the disease to report activity restrictions. CONCLUSIONS: The high prevalence of mood and anxiety disorders in household population with Alzheimer's disease and other dementia demonstrates the burden of disease that is likely to worsen quality of life over time.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".