1. Association of Maternity Leave Characteristics and Postpartum Depressive Symptoms among Women in New York.
- Author
-
Hecht HK, Nguyen AN, and Harley KG
- Subjects
- Humans, Female, Adult, New York epidemiology, Pregnancy, New York City epidemiology, Postpartum Period psychology, Mothers psychology, Mothers statistics & numerical data, Women, Working psychology, Women, Working statistics & numerical data, Logistic Models, Depression, Postpartum epidemiology, Depression, Postpartum psychology, Parental Leave statistics & numerical data
- Abstract
Introduction: The United States is the only high-income country without a comprehensive national maternity leave policy guaranteeing paid, job-projected leave. The current study examined associations between maternity leave characteristics (duration of leave, payment status of leave) and postpartum depressive symptoms., Methods: This study used a sample of 3,515 postpartum women from the New York City and New York State Pregnancy Risk Assessment Monitoring System (PRAMS) from 2016 to 2019. We used logistic regression to examine the association of leave duration and payment status with self-reported postpartum depressive symptoms between 2 and 6 months postpartum., Results: Compared to having at least some paid leave, having unpaid leave was associated with an increased odds of postpartum depressive symptoms, adjusting for leave duration and selected covariates (adjusted odds ratio [aOR] = 1.41, 95% confidence interval [CI]: 1.04-1.93). There was no significant difference in postpartum depressive symptoms between those with partially and those with fully paid leave. In contrast to prior literature, leave duration was not significantly associated with postpartum depressive symptoms (aOR = 0.99, 95% CI: 0.97-1.02 for each additional week of leave)., Discussion: This study suggests that unpaid leave is associated with increased risk of postpartum depression, which can have long-term health effects for both mothers and children. Future studies can help to identify which communities could most benefit from paid leave and help to inform paid leave policies., (© 2024. The Author(s).)
- Published
- 2024
- Full Text
- View/download PDF