Relationship Dysfunction in Couples When One Partner Is Diagnosed with Borderline Personality Disorder: Findings from a Pilot Study

Kroener, Julia; Schaitz, Caroline; Karabatsiakis, Alexander; Maier, Anna; Connemann, Bernhard J.; Schmied, Elisa; Sosic-Vasic, Zrinka

doi:10.3390/bs13030253

Cited by 3 publications

(1 citation statement)

References 94 publications

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“…However, more extreme levels of neuroticism that may be key in psychopathology may manifest differently. For example, high neuroticism in severe mental health presentations can be linked with an inability to regulate emotion which may cause conflicts (Kroener et al, 2023). Thus, the associations between genetic similarity for neuroticism and enjoyment of relationships may be qualitatively different in the context of more severe mental health problems (to which high neuroticism is linked) where emotional understanding is especially hard.…”

Section: Discussionmentioning

confidence: 99%

To know and be known: the proportion of genetic similarity for liability for neuroticism in mother-child and mother-father dyads is associated with reported relationship quality

Pearson,

Braithwaite,

Cadman

et al. 2023

Preprint

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Aim: To explore the influence of genetic similarity for neuroticism in mother’s reported quality of relationship with her child and partner. Such understanding could provide insight into the role of genetic similarity in close relationships.Method: Molecular genetic data in 4,704 mothers, partners, and children in the Avon Longitudinal Study Parents And Children (ALSPAC) study were used to derive the proportion of genetic similarity between mother and child, as well as mother and partner, for genetic variants associated with neuroticism. The associations between genetic similarity scores and mothers’ reported enjoyment and conflict in the parenting relationship (child age 0-3) and her reported relationship with the partner were examined. Results: For a one standard deviation (SD) increase in similarity in mother and child genetic variants associated with neuroticism, there was a 0.15 SD point (95% CI=0.003 to 0.500, p=0.046) increase in maternal reported enjoyment in their relationship. This association was greater where mother and child were both in the top quartile for high neuroticism (standardised beta=0.29, 95% CI=0.56 to 0.02, p=0.034). Similar patterns of results emerged for similarity for genetic variants associated with neuroticism between mothers and partners, and the quality of the mother-partner relationship reported by the mother. Implications: These results highlight how phenotypic variation linked to genetic liability in one individual may be influenced by the genetic liability of those around them. In other words, parenting and intimate partner relationships were explained not by one or the other’s genetic score, but by their combination. The associations between genetic similarity and parental enjoyment were small and explain only a small proportion of the variance. Thus, other parental and child factors, both genetic and environmental, are important in explaining variance in parenting. Nonetheless, these exploratory findings present an intriguing mechanism by which combined genetic liability might influence family relationships.

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Section: Discussionmentioning

confidence: 99%

To know and be known: the proportion of genetic similarity for liability for neuroticism in mother-child and mother-father dyads is associated with reported relationship quality

Pearson,

Braithwaite,

Cadman

et al. 2023

Preprint

View full text Add to dashboard Cite

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Dyadic coping and mental health in couples: A systematic review

Landolt,

Weitkamp,

Roth

et al. 2023

Clinical Psychology Review

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Attach-SwiNet: Multimodal Attachment Style Classification Model Based on Non-Verbal Signals

Maghfira,

Basaruddin,

Alfa Krisnadhi

et al. 2024

IEEE Access

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Attachment systems, representing emotional bonds with significant others, have emerged as an important aspect of psychology that influences self-development and social interactions. Adult attachment studies in psychology have mostly relied on questionnaires and interviews, primarily centered on romantic relationships and parent-child dynamics during childhood. In machine learning-based adult attachment studies, the assessment of objective aspects of non-verbal behaviors is also investigated, but how these behavioral characteristics are associated with attachment remains unexplored. This paper introduces a new multimodal model for attachment style classification, focusing on close relationships established within young adults. Our proposed model integrates representations of emotions derived from non-verbal behaviors alongside subjective responses to classify attachment styles. Leveraging pre-trained Swin Transformers for capturing emotion associations in facial expression videos and pre-trained ResNet50 for analyzing speech responses, we fuse the best emotion representations from both datasets with rating data from the Experiences in Close Relationships -Relationship Structures (ECR-RS) for attachment style classification. The experimental results demonstrate that the proposed model enhances the performance of unimodal behavioral data and subjective questionnaire responses by 1.13%.

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Relationship Dysfunction in Couples When One Partner Is Diagnosed with Borderline Personality Disorder: Findings from a Pilot Study

Cited by 3 publications

References 94 publications

To know and be known: the proportion of genetic similarity for liability for neuroticism in mother-child and mother-father dyads is associated with reported relationship quality

To know and be known: the proportion of genetic similarity for liability for neuroticism in mother-child and mother-father dyads is associated with reported relationship quality

Dyadic coping and mental health in couples: A systematic review

Attach-SwiNet: Multimodal Attachment Style Classification Model Based on Non-Verbal Signals

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