Incidence of Dementia in Canada: A National Trend Analysis of Newly Diagnosed Cases
Bibliographic record
Abstract
INTRODUCTION: Dementia is a progressive neurocognitive disorder affecting aging populations worldwide. Understanding its incidence trends is essential for planning preventive strategies and healthcare services, particularly in countries with aging demographics like Canada. This study aimed to examine national trends in the age-standardized incidence rates of newly diagnosed dementia, including Alzheimer's disease, among Canadians aged 65 years or older from 2007 to 2022. METHODS: We conducted a retrospective, population-based trend analysis using the Canadian Chronic Disease Surveillance System (CCDSS), administered by the Public Health Agency of Canada (PHAC). The CCDSS aggregates de-identified administrative health data supplied by provincial and territorial health ministries, including physician billing claims, hospital discharge abstracts, and health insurance registry data. Dementia cases were ascertained using validated International Classification of Diseases (ICD)-9/ICD-10 diagnostic codes for Alzheimer's disease and related dementias applied to physician and hospital records (case definition and code list per CCDSS protocols). The study period covered fiscal years 2007-2008 through 2021-2022, with supplementary data for 2022-2023 where available. Age-standardized incidence rates were calculated using the 2011 Canadian standard population. Data completeness for physician billing and hospital discharge records exceeded 95% in participating jurisdictions; however, some provinces/territories had partial or missing submissions in certain years. All analyses used aggregated, de-identified counts provided by CCDSS; no individual-level records were accessed. RESULTS: In 2022, the crude incidence rate of newly diagnosed dementia among Canadians aged 65 years and older was 1,323 per 100,000 population per year (95%CI: 1315-1331). By sex, females had a higher crude incidence (1,437 per 100,000 population per year; 95%CI: 1425-1449) than males (1,194 per 100,000 population per year; 95%CI: 1183-1206). Incidence increased markedly with advancing age: 610 per 100,000 population per year (95%CI: 604-617) in those aged 65-79, and 3,669 per 100,000 population per year (95%CI: 3640-3697) among individuals aged more than 80. Regional disparities were observed: Nunavut had the highest age-standardized rate (1,700 per 100,000 population per year; 95%CI: 921-2969) while Saskatchewan had the lowest (1,154 per 100,000 population per year; 95%CI: 1108-1203). From 2007 to 2022, the age-standardized incidence declined overall; this pattern may potentially reflect improvements in prevention, risk-factor control, or early detection, although causal attribution cannot be established from these data alone. CONCLUSION: Although the age-standardized incidence of newly diagnosed dementia in Canada declined modestly between 2007 and 2022, substantial sex, age, and regional disparities remain. The findings emphasize the need for ongoing investment in dementia prevention, equitable diagnostic access, and region-specific interventions. With the aging population, coordinated public health strategies remain essential to sustain progress and reduce the future burden of dementia on individuals, caregivers, and healthcare systems.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.013 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".