In defense of unresolved attachment: re-modelling intergenerational transmission of attachment.

Attachment correspondence analysis infant attachment intergenerational transmission parents unresolved trauma

Journal

Attachment & human development
ISSN: 1469-2988
Titre abrégé: Attach Hum Dev
Pays: England
ID NLM: 100901315

Informations de publication

Date de publication:
04 2023
Historique:
medline: 5 4 2023
pubmed: 19 3 2023
entrez: 18 3 2023
Statut: ppublish

Résumé

Intergenerational transmission of attachment is one of the core hypotheses of attachment theory. How parents or other caregivers look back on their childhood attachment experiences is suggested to shape their infants' attachments. In the current paper, we show that a new twist to correspondence analysis (Canonical Correlation Analysis [CCA]) of cross-tabulated attachment classifications with oblique rotation Correspondence Analysis (CA) may uncover the latent structure of intergenerational transmission showing the unique role of parental Unresolved representations in predicting infant Disorganized attachments. Our model of intergenerational transmission of attachment supports predicted associations between parental and infant attachments. Despite growing skepticism about the validity of parental Unresolved trauma and infant Disorganized attachment, we come to an evidence-based statistical defense of these generative clinical components of attachment theory awaiting a substantive experimentum crucis.

Identifiants

pubmed: 36933237
doi: 10.1080/14616734.2023.2187851
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

311-321

Auteurs

Marinus H van IJzendoorn (MH)

DPECS, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Research Department of Clinical, Educational and Health Psychology, UCL, University of London, London, UK.
Department of Psychology, Capital Normal University, Beijing, China.

Naomichi Makino (N)

Benesse Educational Research & Development Institute, Tokyo, Japan.

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Classifications MeSH