Differences in diabetic co-morbidity between Aboriginal and non-Aboriginal people living in Bella Coola, Canada
Bibliographic record
Abstract
OBJECTIVES: (1) To identify which medical disorders are significantly associated with being a diabetic in the setting of an isolated, rural community; and (2) to determine if there are differences between Aboriginal and non-Aboriginal diabetics. DESIGN: population based retrospective chart review. STUDY POPULATION: people living in the Bella Coola Valley, Canada, and having a chart at the Bella Coola Medical Clinic as at September 2001. MAIN OUTCOME MEASURES: known diabetes related co-morbidity (retinopathy, nephropathy, coronary artery disease, peripheral vascular disease, neuropathy). RESULTS: There were 126 adult (>18 years old) diabetics living in the Bella Coola Valley. Prevalence rates for history of alcohol issues, retinopathy, coronary artery disease, cerebrovascular disease, peripheral vascular disease, peripheral neuropathy, hypertension, hypercholesterolemia, and nephropathy were 44%, 14%, 19%, 8%, 7%, 10%, 54%, 47%, and 7% respectively. For the 1597 non-diabetics living in the Bella Coola Valley, respective prevalence rates for these same co-morbidities were 20%, 0.3%, 2%, 1.5%, 1%, 1%, 10%, 6%, and 0.6%. The study did not demonstrate that Aboriginal people living in the Bella Coola Valley have an increased prevalence of diabetes associated co-morbidities over and above that found in the non-Aboriginal diabetic population. This was despite the fact the smoking rate was higher in the Aboriginal population. CONCLUSIONS: The development of diabetes in both Aboriginal and non-Aboriginal people living in the Bella Coola Valley was clearly associated with the presence of multiple co-morbidities, including hypertension, hypercholesterolemia, coronary artery disease, cerebrovascular disease, and neuropathy. Rates of diabetes associated co-morbidities were similar for both Aboriginal and non-Aboriginal diabetic populations. The authors speculate that a diet rich in fish oils (omega-3 fatty acids) accounted for the lower than expected rates of cardiovascular disease among this Aboriginal population.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 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".