Work Resumption after Newly Diagnosed Coronary Heart Disease: Findings on the Importance of Paid Leave
Bibliographic record
Abstract
OBJECTIVES: Studies have demonstrated the health benefits of work resumption for adults experiencing health problems, but there are important gaps in the research examining the factors that would help these individuals return to work. This study examines if working conditions predict whether women who experience angina or a myocardial infarction (MI) return to work. METHODS: A sample of 289 employed women from the Nurses' Health Study was analyzed. Bivariate chi-square and logistic regression analyses were conducted to examine the relationship between working conditions and the likelihood of returning to work after experiencing an MI or angina. RESULTS: Seventy-nine percent of women returned to work after experiencing an MI or angina. Women who had paid leave were substantially more likely to return to work after an MI or angina episode than women without this benefit (adjusted odds ratio [OR] 2.7, p = 0.04). CONCLUSIONS: Public and corporate policies to promote paid leave for female workers who experience a serious health condition are likely to help these workers return to their jobs, thereby providing important health and economic benefits for both workers and society.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".