Full metadata
Title
Expecting the unexpected: testing a theoretical model of postpartum depression
Description
Postpartum depression has been described as one of the most common complications related to childbirth (Beck, 2008). To understand better the theoretical underpinnings of the disorder, the current study used a vulnerability-stress conceptualization to develop a theoretical model of postpartum depression. The predictive model was tested on 144 mothers with infants under 12-months of age using structural equation modeling. Four alternative models were also tested. A variation of the original theoretical model was found to have the best fit. Consistent with past research, this model indicated that need for approval, relationship conflict, and maternal-efficacy directly predicted postpartum depressive symptoms. Need for approval also moderated the relation between maternal-efficacy and postpartum depressive symptoms, so that this relation was stronger for mothers with high need of approval than for mothers with low need for approval. The role of these risk factors, particularly negative maternal perceptions and cognitions, is highlighted in relation to developing clinical interventions to treat postpartum depression. Limitations of this study are discussed and suggestions are made for future models to be tested through empirical research.
Date Created
2014
Contributors
- Hassert, Silva (Author)
- Kurpius, Sharon R (Thesis advisor)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
vi, 91, [9] p. : ill
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.24767
Statement of Responsibility
by Silva Hassert
Description Source
Viewed on Nov. 7, 2014
Level of coding
full
Note
thesis
Partial requirement for: Ph. D., Arizona State University, 2014
bibliography
Includes bibliographical references (p. 76-89)
Field of study: Psychology
System Created
- 2014-06-09 02:06:06
System Modified
- 2021-08-30 01:36:17
- 3 years 2 months ago
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