Eun Joo Lee; Jeong Sook Park

doi:10.4040/jkan.2015.45.2.211

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Original Article
Development of a Prediction Model for Postpartum Depression: Based on the Mediation Effect of Antepartum Depression: Eun Joo Lee, Jeong Sook Park; Journal of Korean Academy of Nursing 2015;45(2):211-220.
DOI: https://doi.org/10.4040/jkan.2015.45.2.211
Published online: April 30, 2015

¹Department of Nursing, Kyungnam University, Changwon, Korea.

²College of Nursing, Keimyung University, Daegu, Korea.

Address reprint requests to: Park, Jeong Sook. College of Nursing, Keimyung University, 1095 Dalgubeoldae-ro, Dalseo-gu, Daegu 704-701, Korea. Tel: +82-53-580-3907, Fax: +82-53-580-3916, jsp544@gw.kmu.ac.kr

• Received: August 5, 2014 • Revised: August 21, 2014 • Accepted: January 15, 2015

This is an Open Access article distributed under the terms of the Creative Commons Attribution NoDerivs License. (http://creativecommons.org/licenses/by-nd/4.0/) If the original work is properly cited and retained without any modification or reproduction, it can be used and re-distributed in any format and medium.

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Abstract
NOTES
REFERENCES

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: Postpartum depression; Prediction; Model; Mediation; Effect

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

REFERENCES

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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).

Figure & Data

REFERENCES

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

J Korean Acad Nurs. 2015;45(2):211-220. Published online April 30, 2015

DOI: https://doi.org/10.4040/jkan.2015.45.2.211

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

Figure 1 Conceptual framework of this study.

Figure 2 Path diagram for the final model.

Figure 1

Figure 2

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

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).

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).