Impact of Diabetes on Employment and Income in Manitoba, Canada
Bibliographic record
Abstract
OBJECTIVE: To compare employment and income of working-age (18-64 years) people with and without diabetes. RESEARCH DESIGN AND METHODS: We conducted a prospective population-based cohort study based in Manitoba, Canada, consisting of 25,554 individuals without diabetes and 608 with diabetes, of whom 242 had a complication of the disease. Adjusted odds ratios (ORs) of employment and income variables were determined. RESULTS: Diabetic individuals with complications were twice as likely not to be in the labor force (OR 2.07 [95% CI 1.49-2.87]) than nondiabetic individuals. This difference was not evident for diabetic individuals without complications (OR 1.20 [0.93-1.56]). Diabetic individuals without complications had incomes similar to those of nondiabetic individuals. The total income of diabetic individuals with complications was 72% of the income of nondiabetic individuals. When the analysis was limited to only those in the labor force, diabetic workers with complications still had only 85% the employment income of nondiabetic people. Diabetic individuals with complications received 58% more social support income. In a separate analysis of aboriginal individuals, complicated diabetes was not associated with an increased likelihood of not working or a decrease in employment income. CONCLUSIONS: In general, complications of diabetes and the absence of the disease affect the ability to earn income in Manitoba, Canada. This effect was not identified in the aboriginal population of the province.
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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 | 0.000 | 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".