An evaluation of the physical activity and health status of British Columbian Aboriginal populations
Bibliographic record
Abstract
Aboriginal people have experienced elevated rates of obesity, diabetes, cardiovascular disease, and other chronic conditions that are disproportionate to the general Canadian population. We sampled British Columbian Aboriginal populations to determine the current health status of this population. A total of 882 Aboriginal adults ≥16 years of age from 25 locations around the province were sampled from 2007-2011. Health measurements evaluated included body mass index, waist circumference, physical activity, smoking behaviours, and resting blood pressure as well as histories of diabetes, cardiovascular disease, and hypertension. Nonfasting measures of blood sugar, total cholesterol, and high-density lipoprotein cholesterol were also recorded. We used logistical regression to quantify variations in diabetes and cardiovascular disease risk factors with age, gender, geographic location, on- and off-reserve and urban-rural areas of residence, smoking, and physical activity behaviour. The prevalence of diabetes, hypertension, and high total cholesterol were found to be greater among males, while females experienced greater rates of abdominal obesity and physical inactivity. Rates of chronic conditions were similar across on- and off-reserve, urban-rural areas, and geographic region residences, though rural, on-reserve, and northern residents experienced greater risk of poor health status. Larger proportions of on-reserve, rural, and interior individuals were found to be more physically inactive. Aboriginal populations still experience substantially poorer health status in comparison with the general population. Initiatives to improve the health of this population are urgently needed addressing all sectors of the Aboriginal population, all geographic regions, and all areas of residence, with special emphasis on rural, on-reserve, and northern populations.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".