Assessment of the burden of diseases and injuries attributable to risk factors in Canada from 1990 to 2016: an analysis of the Global Burden of Disease Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: An understanding of the risk factors contributing to disease burden is critical for determining research priorities and informing national health policy. We aimed to identify the risk factor trends in Canada. METHODS: As part of the Global Burden of Disease (GBD) study (1990-2016), we conducted an analysis of country-level estimates for Canada to assess the burden of diseases and injuries attributable to risk factors. For both 1990 and 2016, metabolic, environmental and behavioural risk factors were ranked according to their contribution to disability-adjusted life years (healthy years of life lost), total deaths and years lived with disability. RESULTS: In 2016, the risk factors accounting for the largest percentage of disability-adjusted life years in Canada were (1) tobacco, (2) diet, (3) high body mass index, (4) high fasting plasma glucose, (5) high systolic blood pressure, (6) alcohol and drug use, (7) occupational risks, (8) high total cholesterol, (9) impaired kidney function and (10) air pollution. Risk factor rankings remained similar from 1990 to 2016 despite some substantial declines in burden, including a 47% (± 3%) decline in the age-standardized disability-adjusted life years rate attributable to tobacco since 1990. Risk factors with an increasing contribution to disability-adjusted life years rates from 1990 to 2016 included high body mass index, high fasting plasma glucose and alcohol and drug use. INTERPRETATION: Metabolic and behavioural risk factors, including modifiable factors such as tobacco use and diet, remain the leading risk factors contributing to the burden of diseases and injuries in Canada. This work identifies priorities and targets for reducing premature death and disability burden in Canada.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 it