Preliminary Psychometric Testing of the Postpartum Depression Predictors Inventory-Revised (PDPI-R) in Portuguese Women
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Introduction Postpartum depression (PPD) is a prevalent condition with a serious impact. The early identification of women at risk for developing PPD allows for primary prevention and the delivery of timely appropriate referrals. This study investigated the validity and reliability of the postnatal version of the Postpartum Depression Predictors Inventory-Revised (PDPI-R), an instrument widely studied internationally, in Portuguese women. Methods The sample consisted of 204 women who participated in an online cross-sectional survey. Participants completed the European Portuguese versions of the PDPI-R, the Edinburgh Postnatal Depression Scale (EPDS), and the Postnatal Negative Thoughts Questionnaire at 1–2 months postpartum. Additionally, ROC analyses were performed to conduct an exploratory analysis of the instruments’ predictive validity. Results The prevalence rates of clinical postpartum depressive symptoms were 27.5 and 14.2% using the cut-off scores of 9 and 12, respectively, on the EPDS. The European Portuguese postnatal version of the PDPI-R demonstrated acceptable reliability and satisfactory construct and convergent validity. When using the EPDS > 9 cut-off score, the exploratory analyses yielded a sensitivity of 76.8% and a specificity of 73.0% with a cut-off score of 5.5 [area under the curve = 0.816]. Discussion These preliminary findings encourage the use of the postnatal version of the PDPI-R as a screening tool to identify Portuguese women at high risk for developing PPD. Subsequent assessments are needed to support the routine application of the PDPI-R both in research and for clinical purposes.
KeywordsPostpartum depression Risk factors Screening Validity Reliability
This study is part of the research project “A web-based cognitive-behavioural intervention to prevent postpartum depression: A dyadic and multidimensional approach”, integrated in the research group Relationships, Development & Health of the R&D Unit Cognitive-Behavioral Center for Research and Intervention of the Faculty of Psychology and Educational Sciences, University of Coimbra. This work was supported by the Portuguese Foundation for Science and Technology (FCT). Stephanie Alves is supported by a PhD Scholarship from the FCT (SFRH/BD/102717/2014). Ana Fonseca is supported by a Post-doctoral Scholarship from FCT (SFRH/BPD/93996/2013). Marco Pereira is a FCT Researcher (IF/00402/2014).
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Conflict of interest
The authors declare that they have no conflict of interest.
- Areias, M. E. G., Kumar, R., Barros, H., & Figueiredo, E. (1996). Comparative incidence of depression in women and men, during pregnancy and after childbirth: Validation of the Edinburgh Postnatal Depression Scale in Portuguese mothers. British Journal of Psychiatry, 169, 30–35. https://doi.org/10.1192/bjp.169.1.30.CrossRefPubMedGoogle Scholar
- Beck, C. T. (1998). A checklist to identify women at risk for developing postpartum depression. Journal of Obstetric, Gynecologic, and Neonatal Nursing, 27, 39–46. https://doi.org/10.1111/j.1552-6909.1998.tb02589.x.CrossRefPubMedGoogle Scholar
- Beck, C. T. (2002). Revision of the postpartum depression predictors inventory. Journal of Obstetric, Gynecologic, and Neonatal Nursing, 31, 394–402. https://doi.org/10.1111/j.1552-6909.2002.tb00061.x.CrossRefPubMedGoogle Scholar
- Fonseca, A., Gorayeb, R., & Canavarro, M. C. (2015). Women’s help-seeking behaviours for depressive symptoms during the perinatal period: Socio-demographic and clinical correlates and perceived barriers to seeking professional help. Midwifery, 31, 1177–1185. https://doi.org/10.1016/j.midw.2015.09.002.CrossRefPubMedGoogle Scholar
- Ikeda, M., & Kamibeppu, K. (2013). Measuring the risk factors for postpartum depression: Development of the Japanese version of the postpartum depression predictors inventory-revised (PDPI-R-J). BMC Pregnancy and Childbirth, 13, 112. https://doi.org/10.1186/1471-2393-13-112.CrossRefPubMedPubMedCentralGoogle Scholar
- Lewis, M. P., Simons, G. F., & Fennig, C. D. (2014). Ethnologue: Languages of the world (17 edn.). Dallas, TX: SIL International.Google Scholar
- O’Hara, M. W., & McCabe, J. E. (2013). Postpartum depression: Current status and future directions. Annual Review of Clinical Psychology, 9, 379–407. https://doi.org/10.1146/annurev-clinpsy-050212-185612.CrossRefPubMedGoogle Scholar
- Oppo, A., Mauri, M., Ramacciotti, D., Camilleri, V., Banti, S., Borri, C., … Cassano, G. B. (2009). Risk factors for postpartum depression: The role of the postpartum depression predictors inventory-revised (PDPI-R). Results from the Perinatal Depression-Research & Screening Unit (PNDReScU) study. Archives of Women’s Mental Health, 12, 239–249. https://doi.org/10.1007/s00737-009-0071-8.CrossRefPubMedGoogle Scholar
- Pereira, A. T., Marques, M., Marques, C., Bento, E., Azevedo, J., Xavier, S., … Macedo, A. (2016). Perinatal depression screening, prevention and early intervention: Recent advances in Portugal. International Journal of Clinical Neurosciences and Mental Health, 3, 2. https://doi.org/10.21035/ijcnmh.2016.3.2.CrossRefGoogle Scholar
- Social Issues Research Centre. (2012). The changing face of motherhood in Western Europe: Portugal. Retrieved from http://www.sirc.org/publik/motherhood_in_Portugal.pdf.