Risk factors and chronic conditions among Aboriginal and non-Aboriginal populations.
Bibliographic record
Abstract
BACKGROUND: In Canada, the prevalence of behavioural risk factors and chronic conditions differs for Aboriginal and non-Aboriginal populations, but little research has examined changes over time. This study compares several major risk factors and chronic conditions in Aboriginal and non-Aboriginal populations not living on reserves in the North (Yukon, Northwest Territories, Nunavut) and in southern Canada at two time points. DATA AND METHODS: The data are from cycle 1.1 (2000/2001) and cycle 3.1 (2005/2006) of the Canadian Community Health Survey: 115,990 respondents aged 20 or older, and 118,716 respondents, respectively. Overall, 3.8% of respondents reported Aboriginal cultural or racial background. Crude prevalence estimates, adjusted odds ratios, and bootstrap-derived confidence intervals were calculated for seven risk factors and nine chronic conditions at each time point. RESULTS: In 2000/2001, Aboriginal people in the North were more likely than those in southern Canada to be obese, smoke daily and have infrequent physical activity, but less likely report a number of chronic conditions. Between 2000/2001 and 2005/2006, the odds of reporting risk factors increased among Aboriginal people in the North, and differences in the prevalence of chronic diseases were less pronounced. Few differences between non-Aboriginal respondents in the North and in southern Canada were observed. INTERPRETATION: Compared with southern Canada, the profile of health is changing more rapidly for Aboriginal than non-Aboriginal populations in the North, and appears to be worsening for the former.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 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".