Differences in cardiovascular risks in the aboriginal and non-aboriginal people living in Bella Coola, British Columbia.
Bibliographic record
Abstract
BACKGROUND: There is a lack of information regarding cardiovascular disease (CVD) in rural areas in British Columbia, Canada. To establish the relative prevalence of CVD risk factors in a rural area weanalyzed biochemical and clinical data collected on aboriginal and non-aboriginal descent people living in the community of Bella Coola. MATERIAL/METHODS: A retrospective review of the 2378 charts located in the Bella Coola Medical Clinic was done in the Fall of 2002. Anthropometric, biochemical and clinical information was obtained from 1,120 people of Nuxalk descent and 1258 people of mainly European descent. Children and adults of either sex, pre- and post-menopausal women, and patients with hyperlipidaemia, type 2 diabetes, and hypertension were included in the review. RESULTS: After adjusting for age, gender and BMI, non-aboriginal origin was associated with higher total and LDL-cholesterol (p<0.01) and aboriginal origin was associated with higher glucose levels (p < 0.0Ol). A significantly higher value for Log (TG/HDL), a plasma parameter defined as "Atherogenic index plasma (AIP)" was found in the aboriginal group. In addition, both aboriginal women and men had higher prevalence of metabolic syndrome than the non-aboriginal men and women. CONCLUSIONS: This study found different patterns of CVD risk factors i n non-aboriginal and aboriginalgroups living in the same geographic area. Based on the prevalence of metabolic syndrome, higher triglycerides and AIP, aboriginal participants, especially the women, are at a higher risk for CVD.
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 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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 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".