Prevalence of Depression and Dementia among Adults with Developmental Disabilities in Manitoba, Canada
Bibliographic record
Abstract
Study Objective. To estimate and compare the prevalence of dementia and depression among adults with and without developmental disabilities (DDs). Methods. We linked data from several provincial administrative databases to identify persons with DDs. We matched cases with DD with persons without DD as to sex, age, and place of residence. We estimated the prevalence of dementia and depression and compared the two groups using the Generalized Estimating Equations (GEEs) technique. Results. The estimated prevalence of depression and dementia among younger adults (20-54) and older adults (50+) with DD was significantly higher than the estimated rates for the matched non-DD group (Depression: younger adults: RR = 2.96 (95% CI 2.59-3.39); older adults: RR = 2.65 (95% CI 1.84-3.81)), (Dementia: younger adults: RR = 4.01 (95% CI 2.72-5.92); older adults: RR = 4.80 (95% CI 2.48-9.31)). Conclusion. Significant disparities exist in mental health between persons with and without DDs.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".