Work

Predictors of mother-infant interaction quality in women at risk of postpartum psychosis: The role of emotion recognition

Year: 2024
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Limited research exists on mother-infant interaction in women at-risk-of postpartum psychosis (PP). This study aimed to investigate potential predictors of mother-infant interaction quality in women at-risk-of-PP during the first postnatal year. Potential predictors investigated were: maternal ability to recognize emotions, childhood maltreatment, parenting stress, and infant social-interactive behaviour at birth. METHODS: 98 women (and their offspring) were included, 40 at-risk-of-PP because of a diagnosis of Bipolar Disorder, Schizoaffective Disorder or previous PP, and 58 with no current/previous mental illness or family history of PP. Mother-infant interaction was assessed using the CARE-Index at 8 weeks and 12 months postpartum. Maternal ability to recognize emotions was assessed with the VERT-K, maternal experience of childhood maltreatment with the CECA-Q, maternal parenting stress with the PSI-SF and infant social-interactive behaviour with the NBAS. RESULTS: Women at-risk-of-PP were less able to recognize fear than healthy controls and this predicted the quality of the mother-infant interaction at 8 weeks' and 12 months' post partum, over and above the effect of maternal Group (respectively, β = 0.33, p = .015; β = 0.40, p = .006). Infant social-interactive behaviour at birth was a significant predictor for mother-infant interaction at 12 months (β = 0.32, p = .031), although this did not differ significantly between the groups. LIMITATIONS: A relatively small sample size precluded a more in-depth investigation of indirect pathways and other potential predictors. CONCLUSIONS: These results are important as they suggest that preventive interventions targeting emotion recognition may be implemented in women at-risk-of-PP, with the aim of improving mother-infant interaction and potentially also the infant long-term development.
Language: English
Field: Medicine
Open Access status: hybrid
Estimated APC paid: $3,340
OpenAlex ID: W4402037955
FWCI: 1.126
Cites: 68
Cited by: 3
Related to: 10