Trends in cardiovascular disease among Inuit in Greenland from 1994 to 2021
Bibliographic record
Abstract
Background and aims: Cardiovascular disease (CVD) poses significant health challenges globally. While substantial data exists for most populations, the Arctic Inuit's CVD incidence rates remain understudied. This research aimed to change this by estimating CVD incidence and mortality rates in Greenland from 1994 to 2021. Methods: Using nationwide registers, a retrospective observational study was conducted, focusing on individuals born in Greenland to Greenlandic-born parents. Data were sourced from the Greenlandic Hospital Discharge Register and the nationwide electronic medical record. Results: A total of 65,824 individuals were included. the age- and sex-specific incidence rates (IR) of ischemic heart disease, stroke, and heart failure (HF) declined from 1994 to 2021, with the most substantial decline observed for HF among women. Conversely, the IR of atrial fibrillation/flutter increased in both men and women, while the IR of myocardial infarction rose among men. The IR for stroke was particularly elevated compared to other CVD subgroups. Mortality rates for those diagnosed with CVD were 2.4 times higher than those without. Men exhibited a 40 % elevated mortality risk relative to women. Conclusion: The study provides pivotal insights into CVD trends within the Arctic Inuit population, highlighting both positive developments and areas of concern. Given the increasing elderly demographic in Greenland, proactive health strategies are crucial. Emphasizing primary prevention and addressing specific CVD risks, particularly the elevated stroke IR, is imperative for future public health efforts.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".