Journal List > J Korean Acad Nurs > v.45(2) > 1003057

Lee and Park: Development of a Prediction Model for Postpartum Depression: Based on the Mediation Effect of Antepartum Depression



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.


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.


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.


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.

Figures and Tables

Figure 1

Conceptual framework of this study.

Figure 2

Path diagram for the final model.

Table 1

Descriptive Statistics of Variables (N=186)

Table 2

Correlation among Variables (N=186)


*p<.05; p<.01.

Table 3

Standardized Direct, Indirect, and Total Effects for the Final Model


*p<.05; β=Standardized regression weight; CR.=Critical ratio; SMC=Squared multiple correlation (R2).


This manuscript is a revision of part of the first author's doctoral dissertation from Keimyung University.


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