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Multidimensionality within the Edinburgh postnatal depression scale: application issues of specific structure
Kateřina Ratislavová1, Eva Hendrych Lorenzová1, Alena Lochmannová2
1Midwifery, Department of Nursing and Midwifery, Faculty of Health Care Studies, University of West Bohemia, Pilsen, Czech Republic.
Objective And Background:
The 10-item Edinburgh Postnatal Depression Scale (EPDS) is a widely-used screening measure for postnatal depression. Factor analysis studies have suggested an embedded sub-scale could be used for screening for anxiety disorders. The current investigation sought to replicate and extend a recent study supporting this assertion.
Methods:
A cross-sectional design. EPDS data were collected at up to two years postpartum. Confirmatory factor analysis, correlational and distributional characteristics of the measure were examined. Participants were a large sample (N = 985) of postpartum women in the Czech Republic.
Results:
Factor structure findings substantially replicated the models evaluated by Della Vedova et al. (2022). Bifactor models, however, offered a better fit to data. A general factor of depression explained most of the variance in data in most models compared to embedded sub-scales across models.
Conclusion:
The model proposed by Della Vedova et al. (2022) offered an excellent fit to data. However, the findings from the bifactor modelling suggest the dominance of a general factor of depression which indicates the potential application of an embedded anxiety sub-scale for screening may be overstated.
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