Postpartum depression and risk factors among working women one year after delivery in Beijing, China: a cross-sectional study

Front Public Health. 2024 May 2:12:1346583. doi: 10.3389/fpubh.2024.1346583. eCollection 2024.

Abstract

Background: Postpartum depression (PPD) is the most common mental illness affecting women after childbirth, and working mothers may be faced with unique challenges. This study aimed to examine the depression status among working postpartum women in 1 year of childbirth and explore the relationship between occupational factors and PPD in urban Beijing, China.

Methods: A cross-sectional survey of 554 postpartum women was conducted among ten community health service centers in six urban districts of Beijing, China. Sociodemographic, occupational, childbirth and postpartum information were collected. Depression status was obtained using the Edinburgh Postnatal Depression Scale. Prevalence of postpartum depression (PPD) was assessed in relation to occupational characteristics, and influencing factors were analyzed through logistic regression.

Results: Of the postpartum women, 29.42% met the criteria for depression. PPD prevalence was significantly higher among women employed in commercial enterprises (39.81%). The analysis of influencing factors showed that age, family or personal monthly income, maternity leave, feeding methods, and postpartum care affected the psychological health of occupational women after childbirth.

Conclusion: PPD prevalence is notably elevated among women employed in commercial enterprises, and specific risk factors contribute to its occurrence. These findings highlight the need for targeted interventions to address these risk factors and prevent PPD in this population.

Keywords: commercial enterprises; maternal mental health; postpartum depression; risk factors; working women.

MeSH terms

  • Adult
  • Beijing / epidemiology
  • China / epidemiology
  • Cross-Sectional Studies
  • Depression, Postpartum* / epidemiology
  • Female
  • Humans
  • Prevalence
  • Risk Factors
  • Surveys and Questionnaires
  • Women, Working* / psychology
  • Women, Working* / statistics & numerical data
  • Young Adult

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by an Innovation Fund for Medical Sciences of the Chinese Academy of Medical Sciences (2019-I2M-2-007).