Extended Paid Maternity Leave Associated With Improved Maternal Mental Health In Hong Kong
Bibliographic record
Abstract
In July 2020, Hong Kong extended statutory paid maternity leave from ten weeks to fourteen weeks to align with International Labour Organization standards. We used the policy enactment as an observational natural experiment to assess the mental health implications of this policy change on probable postnatal depression (Edinburgh Postnatal Depression Scores of 10 or higher) and postpartum emotional well-being. Using an opportunistic observational study design, we recruited 1,414 survey respondents with births before (August 1-December 10, 2020) and after (December 11, 2020-July 18, 2022) policy implementation. Participants had a mean age of thirty-two, were majority primiparous, and were mostly working in skilled occupations. Our results show that the policy was associated with a 22 percent decrease in mothers experiencing postnatal depressive symptoms and a 33 percent decrease in postpartum emotional well-being interference. Even this modest change in policy, an additional four weeks of paid leave, was associated with significant mental health benefits. Policy makers should consider extending paid maternity leave to international norms to improve mental health among working mothers and to support workforce retention.
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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) | 0.001 | 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 | 0.001 |
| 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".