Examining the relationship between chronic conditions, multi-morbidity and labour market participation in Canada: 2000–2005
Bibliographic record
Abstract
ABSTRACT Relatively little attention has been paid to understanding and addressing the potential health-related barriers faced by older workers to stay at work. Using three representative samples from the Canadian Community Health Survey, we examined the relationship between seven physical chronic conditions and labour market participation in Canada between 2000 and 2005. We found that all conditions were associated with an increased probability of not being able to work due to health reasons. In our adjusted models, heart disease was associated with the greatest probability of not working due to health reasons. Arthritis was associated with the largest population attributable fraction. Other variables associated with not being able to work due to health reasons included older age, female gender and lower educational attainment. We also found particular combinations of chronic conditions (heart disease and diabetes; and arthritis and back pain) were associated with a greater risk than the separate effects of each condition independently. The results of this study demonstrate that chronic conditions are associated with labour market participation limitations to differing extents. Strategies to keep older workers in the labour market in Canada will need to address barriers to staying at work that result from the presence of chronic conditions, and particular combinations of conditions.
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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 | 0.001 | 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 | 0.001 | 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".