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

Emotion recognition Interventions Mother-infant interaction Perinatal period Postpartum psychosis

Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
29 Aug 2024
Historique:
received: 27 10 2023
revised: 26 08 2024
accepted: 27 08 2024
medline: 1 9 2024
pubmed: 1 9 2024
entrez: 31 8 2024
Statut: aheadofprint

Résumé

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. 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. 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' postpartum, 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. A relatively small sample size precluded a more in-depth investigation of indirect pathways and other potential predictors. 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.

Sections du résumé

BACKGROUND 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 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 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' postpartum, 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 CONCLUSIONS
A relatively small sample size precluded a more in-depth investigation of indirect pathways and other potential predictors.
CONCLUSIONS 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.

Identifiants

pubmed: 39216645
pii: S0165-0327(24)01412-5
doi: 10.1016/j.jad.2024.08.180
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Auteurs

Alessandra Biaggi (A)

Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy; Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9RX, UK. Electronic address: alessandra.biaggi@kcl.ac.uk.

Katie Hazelgrove (K)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9RX, UK.

Freddie Waites (F)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9RX, UK; Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, UK.

Rebecca H Bind (RH)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9RX, UK.

Andrew J Lawrence (AJ)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9RX, UK; National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK.

Montserrat Fuste (M)

Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, UK; Perinatal Parent-Infant Mental Health Service, Goodmayes Hospital, North East London Foundation Trust, London IG3 8XD, UK.

Susan Conroy (S)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9RX, UK.

Louise M Howard (LM)

Section of Women's Mental Health, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, UK.

Mitul A Mehta (MA)

Department of Neuroimaging, Institute of Psychiatry, Psychology & Neurosciences, King's College London, London SxE5 8AF, UK.; National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK.

Maddalena Miele (M)

Perinatal Mental Health Service, St Mary's Hospital, Imperial College London and Central North West London NHS Foundation Trust, London W2 1PF, UK.

Gertrude Seneviratne (G)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9RX, UK.

Susan Pawlby (S)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9RX, UK.

Carmine M Pariante (CM)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9RX, UK; National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK.

Paola Dazzan (P)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9RX, UK; National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK.

Classifications MeSH