Skip to main page content
Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
, 45 (2), 211-20

[Development of a Prediction Model for Postpartum Depression: Based on the Mediation Effect of Antepartum Depression]

[Article in Korean]
Affiliations

[Development of a Prediction Model for Postpartum Depression: Based on the Mediation Effect of Antepartum Depression]

[Article in Korean]
Eun Joo Lee et al. J Korean Acad Nurs.

Abstract

Purpose: This study was done to develop a prediction model for postpartum depression by verifying the mediation effect of antepartum depression. A hypothesized model was developed based on literature reviews and predictors of postpartum depression by Beck.

Methods: Data were collected from 186 pregnant women who had a gestation period of more than 32 weeks and were patients at a maternity hospital, two obstetrics and gynecology specialized hospitals, or the outpatient clinic of K medical center. Data were analysed with descriptive statistics, correlation and exploratory factor analysis using the SPSS/WIN 18.0 and AMOS 18.0 programs.

Results: The final modified model had good fit indices. Parenting stress, antepartum depression and postpartum family support had statistically significant effects on postpartum depression, and defined 74.7% of total explained variance of postpartum depression. Antepartum depression had significant mediation effects on postpartum depression from stress in pregnancy and self-esteem.

Conclusion: The results of this study suggest that it is important to develop nursing interventions including strategies to reduce parenting stress and improve postpartum family support in order to prevent postpartum depression. Especially, it is necessary to detect and treat antepartum depression early to prevent postpartum depression as antepartum depression can affect postpartum depression by mediating antepartum factors.

Keywords: Effect; Mediation; Model; Postpartum depression; Prediction.

Similar articles

See all similar articles

Cited by 1 PubMed Central articles

Feedback