PURPOSE: The aim of this study was to evaluate the association of maternal antenatal attachment and post-partum psychopathology, maternal-infant bonding, while checking for antenatal psychopathology, for lifetime psychiatric diagnosis and for the known risk factors for peripartum depression. METHODS: One hundred and six women recruited at the first month of pregnancy (T0) were evaluated with the structured interview for DSM-IV TR (SCID-I) to assess the presence of lifetime psychiatric diagnosis and with the Perinatal Depression Predictor Inventory-Revised (PDPI-R), the Edinburgh Postnatal Depression Scale (EPDS), and the State-Trait Anxiety Inventory (STAI). At the sixth month of pregnancy (T1) and at the first month post-partum (T2), all patients were evaluated with the PDPI-R, the EPDS, the STAI, at T1, with the Maternal Antenatal Attachment Scale (MAAS), and at T2 with the Maternal Postnatal Attachment Scale (MPAS). RESULTS: Multivariate regression analyses showed that maternal-foetal attachment was the variable most significantly associated with postnatal symptoms of depression and anxiety and with quality of maternal-infant attachment. The logistic regression analyses showed that antenatal attachment may predict postnatal depressive and anxiety symptoms (respectively, OR: 0.83 - IC [0.74 - 0.95], p = .005, OR: 0.88 - IC [0.79 - 0.98], p = .02), and the quality of maternal postnatal attachment (OR: 1.17 - IC [1.08 - 1.27], p < .001), also after taking into account the known risk factors for perinatal depression, the sociodemographic variables and lifetime psychiatric diagnosis. CONCLUSION: The quality of maternal-foetal bonding may independently predict the quality of maternal-infant attachment and post-partum depressive and anxiety symptoms. A comprehensive assessment of maternal risk factors for perinatal psychopathology during pregnancy should include the evaluation of antenatal attachment that could be modifiable by specific interventions promoting the quality of maternal bonding.
PURPOSE: The aim of this study was to evaluate the association of maternal antenatal attachment and post-partum psychopathology, maternal-infant bonding, while checking for antenatal psychopathology, for lifetime psychiatric diagnosis and for the known risk factors for peripartum depression. METHODS: One hundred and six women recruited at the first month of pregnancy (T0) were evaluated with the structured interview for DSM-IV TR (SCID-I) to assess the presence of lifetime psychiatric diagnosis and with the Perinatal Depression Predictor Inventory-Revised (PDPI-R), the Edinburgh Postnatal Depression Scale (EPDS), and the State-Trait Anxiety Inventory (STAI). At the sixth month of pregnancy (T1) and at the first month post-partum (T2), all patients were evaluated with the PDPI-R, the EPDS, the STAI, at T1, with the Maternal Antenatal Attachment Scale (MAAS), and at T2 with the Maternal Postnatal Attachment Scale (MPAS). RESULTS: Multivariate regression analyses showed that maternal-foetal attachment was the variable most significantly associated with postnatal symptoms of depression and anxiety and with quality of maternal-infant attachment. The logistic regression analyses showed that antenatal attachment may predict postnatal depressive and anxiety symptoms (respectively, OR: 0.83 - IC [0.74 - 0.95], p = .005, OR: 0.88 - IC [0.79 - 0.98], p = .02), and the quality of maternal postnatal attachment (OR: 1.17 - IC [1.08 - 1.27], p < .001), also after taking into account the known risk factors for perinatal depression, the sociodemographic variables and lifetime psychiatric diagnosis. CONCLUSION: The quality of maternal-foetal bonding may independently predict the quality of maternal-infant attachment and post-partum depressive and anxiety symptoms. A comprehensive assessment of maternal risk factors for perinatal psychopathology during pregnancy should include the evaluation of antenatal attachment that could be modifiable by specific interventions promoting the quality of maternal bonding.
Authors: Chiara Pazzagli; Livia Buratta; Giulia Cenci; Elena Coletti; Maria Luisa Giuliani; Claudia Mazzeschi Journal: Int J Environ Res Public Health Date: 2022-06-07 Impact factor: 4.614
Authors: Tommaso Trombetta; Maura Giordano; Fabrizio Santoniccolo; Laura Vismara; Anna Maria Della Vedova; Luca Rollè Journal: Front Psychol Date: 2021-03-17
Authors: Luca Rollè; Maura Giordano; Fabrizio Santoniccolo; Tommaso Trombetta Journal: Int J Environ Res Public Health Date: 2020-04-12 Impact factor: 3.390