The Postpartum Bonding Questionnaire (PBQ) was developed to assess mother-infant bonding disturbances in the postpartum period. The aim of this study was to examine the psychometric properties of the Spanish version of the PBQ in a sample of Spanish postpartum women. Eight hundred forty mothers were recruited in the postpartum visit (4-6 weeks after delivery): 513 from a gynecology unit (forming the general population sample) and 327 mothers from a perinatal psychiatry program (forming the clinical sample). All women were assessed by means of the Edinburgh Postnatal Depression Scale (EPDS) and the PBQ. Neither the original four-factor structure nor alternative structures (Reck et al. 2006; Wittkowski et al. 2010) were replicated by the confirmatory factor analyses. An exploratory factor analysis showed a four-factor solution. The Schmid-Leiman transformation found a general factor that accounted for 61% of the variance of the PBQ. Bonding impairment showed higher associations with depressive symptomatology in both samples. The Spanish version of the PBQ showed adequate psychometric properties for use with clinical and general populations of Spanish postpartum women. The results suggest that the PBQ could be summarized by a general factor and confirm the utility of the use of the total score for detecting bonding impairment.
This study aims to examine the extent to which a variety of pre-delivery factors (demographic, reproductive, psychological, psychiatric, and psychopathological) predict disturbances in mother-infant bonding (MIB) in the postpartum period. Two hundred fifty-one pregnant women enrolled at a public perinatal psychiatric service were assessed between the first and second trimester of pregnancy and at 6-7 weeks after delivery. During pregnancy, the psychological risk factors were assessed with the Vulnerable Personality Style Questionnaire, the Marital Adjustment Scale, the Early Trauma Inventory, and the General Health Questionnaire. To detect psychopathology, the Edinburgh Postnatal Depression Scale and the State-Trait Anxiety Inventory were used. At the postpartum evaluation, MIB was measured by the Postpartum Bonding Questionnaire. The results of the final regression model showed that emotional abuse in childhood, family psychiatric history, previous psychiatric hospitalization, and anxiety during pregnancy were significant predictors of MIB disturbances in postpartum, explaining 10.7% of the variance. The evaluation of women's risk factors in pregnancy is important in order to prevent MIB disturbances and thus to ensure the welfare of mothers and their babies.
Aims: The use of the internet to assess mother-infant bonding (MIB) has not been extensively examined. The main aim of this study was to compare offline (paper-and-pencil) and online MIB screening in a sample of n=1,269 women. We tested the reliability and factorial structure of the Postpartum Bonding Questionnaire (PBQ) and also compared clinical, obstetrical, reproductive, and psychopathological variables related to poor MIB. Methods: A cross-sectional study was conducted on 1,269 mothers. The offline group included 812 women who attended a 40-day postpartum clinical appointment. The online group consisted of 457 women recruited during admission for delivery who volunteered to carry out the online protocol 40 days postpartum. All the participants individually completed the PBQ, the Edinburg Postnatal Depression Scale (EPDS) and a questionnaire on other clinical and sociodemographic variables.Results: The 4-factor solution proposed in the PBQ and its Spanish validation showed good model fit for both the offline and the online sample. Women assessed through the online format reported higher levels of stress, depressive symptoms, and poor bonding, specifically on PBQ scores and the Rejection and Anger subscales. The offline and online assessments obtained the same results regarding the type of statistical associations between PBQ and sociodemographic, reproductive, obstetric and psychological outcomes.Conclusion: Online assessment may be an appropriate option for detecting possible alterations in MIB due to the reduction of desirability bias, the increased perception of anonymity, and being a more cost-effective method.
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