Abstract
Background:The Edinburgh Postnatal Depression Scale (EPDS; Cox, Holden & Sagovsky, 1987) has been widely used as a screening instrument. It is also used as a measure of Postnatal Depression (PND) severity. Various EPDS factor structure models have been proposed in many studies without an unequivocal conclusion. We compared first-order, higher-order factor, and bifactor models of the EPDS, and examined possible predictors of subscales by Structural Equation Modelling (SEM).Methods:Data came from a follow-up study of 758 women after childbirth on two occasions (five days and one month postnatal). We used the EPDS together with items tapping Negative Life Events (NLEs) and coping styles and behaviours.Results:The bifactor model showed the best fit with data compared with all other models: CFI = 0.999, RMSEA = 0.14, and AIC = 79.637. A single general dimension alongside three distinct subfactors (anhedonia, anxiety, and dysphoria) was predicted differentially by various predictor variables.Conclusion:Our study expanded on a previous factor structural study of the EPDS and developed the hierarchical (bifactor) model. The model’s construct validity was confirmed by its meaningful associations with NLEs and coping styles and behaviours.
Highlights
Postnatal depression (PND) is a depressive disorder for which onset is within one month after childbirth [1]
The Edinburgh Postnatal Depression Scale (EPDS) was developed as a screening instrument with a cut-off point to identify women who are likely to suffer from Postnatal Depression (PND), it has been used as a measure of PND severity [15 - 19]
We found that the bifactor model showed a much better fit with data than the first-order three-factor model: χ2/df = 1.07, Comparative Fit Index (CFI) = 0.999, Root Mean Square Error of Approximation (RMSEA) = 0.14, and Akaike information criterion (AIC) = 79.637 (Fig. 5).we adopted the bifactor Kubota model as our final model
Summary
Postnatal depression (PND) is a depressive disorder for which onset is within one month after childbirth [1]. As a means of PND screening, many instruments have been developed [11, 12] Among them is the Edinburgh Postnatal Depression Scale (EPDS; Cox, Holden & Sagovsky, 1987) [13], which was translated into multiple languages and evaluated in many countries including Japan [14]. The French version of the EPDS was examined by PCA, and a two-component structure was detected in a sample of 87 women in the first four months postpartum [21]. The Edinburgh Postnatal Depression Scale (EPDS; Cox, Holden & Sagovsky, 1987) has been widely used as a screening instrument. It is used as a measure of Postnatal Depression (PND) severity. We compared first-order, higher-order factor, and bifactor models of the EPDS, and examined possible predictors of subscales by Structural Equation Modelling (SEM)
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
