Cena Loredana, Mirabella, F., Palumbo, G., Gigantesco, A., Trainini, A., & Stefana, A. (2021). Prevalence of maternal antenatal and postnatal depression and their association with sociodemographic and socioeconomic factors: A multicentre study in Italy. Journal of Affective Disorders, 279, 217-221. doi: 10.1016/j.jad.2020.09.136

Background: Perinatal depression is a widespread and burdensome mental disorder. The objectives of this study were to assess the prevalence of both antenatal and postnatal depression in a large sample of women in Italy and to analyse their association with sociodemographic and socioeconomic factors. Methods: Cross-sectional data from eleven healthcare centres located throughout Italy (2017-2018) were analysed (n = 1471). Depressive disorder was assessed with the Edinburgh Postnatal Depression Scale (EPDS), and sociodemographic and socioeconomic factors were also measured. Prevalences by perinatal period and by sociodemographic and socioeconomic factors were estimated, and their associations were evaluated using logistic regression models. All analyses were stratified by perinatal period: antenatal (i.e., from conception to delivery) vs. postnatal (i.e., the nine months after delivery). Results: With a cut-off score set at 12 points, the prevalence of perinatal depression was 6.4% during pregnancy and 19.9% in the postnatal period, and the odds ratio for postpartum vs. antepartum depression was 3.65 (2.56-5.39). High economic status was associated with an approximate fivefold reduction in odds of depression in the antenatal period (ORa: 0.23, 95%CI: 0.10-0.54) and about a sixfold reduction in the postnatal period (ORa: 0.15, 95%CI: 0.05-0.45). Limitations: The data were cross-sectional. The EPDS has a sensitivity of 55.6%. Conclusion: The prevalence of perinatal depression in Italy is strongly associated with socioeconomic disadvantages. Early procedures to evaluate socioeconomic status and the provision of economical support for mothers might reduce the prevalence of perinatal depression and its direct and indirect costs