Decreasing incidence of stroke, ischaemic heart disease and dementia in Norway, 1990–2019, a Global Burden of Disease study: an opportunity
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: The declining incidence of stroke, ischaemic heart disease (IHD) and dementia (the 'triple threat') in Norway encourages further investigation. The risks and trends of the three conditions were analysed using data from the Global Burden of Disease study. METHODS: Global Burden of Disease 2019 estimations were used for age-, sex- and risk-factor-specific incidence and prevalence of the 'triple threat', their risk-factor-attributed deaths and disability combined, their age-standardized rates per 100,000 population in 2019 and their changes during 1990-2019. Data are presented as means and 95% uncertainty intervals. RESULTS: In 2019, 71.1 thousand Norwegians were living with dementia, 157.2 thousand with IHD and 95.2 thousand with stroke. In 2019, there were 9.9 thousand (8.5 to 11.3) new cases of dementia (35.0% increase since 1990), 17.0 thousand (14.6 to 19.6) with IHD (3.6% decrease) and 8.0 thousand (7.0 to 9.1) with stroke (12.9% decrease) in Norway. During 1990-2019, their age-standardized incidence rates decreased significantly-dementia by -5.4% (-8.4% to -3.2%), IHD by -30.0% (-31.4% to -28.6%) and stroke by -35.3% (-38.3% to -32.2%). There were significant declines in the attributable risks to both environmental and behavioural factors in Norway, but contradictory trends for metabolic risk factors during 1990-2019. CONCLUSIONS: The risk of the 'triple threat' conditions is declining in Norway, despite the increased prevalence. This offers the opportunity to find out why and how and to accelerate their joint prevention through new approaches and the promotion of the National Brain Health Strategy.
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 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 | 0.001 | 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) | 0.000 | 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".