ArticleFrontiers in psychology2020
The Network Structure of Personality Pathology in Adolescence With the 100-Item Personality Inventory for DSM-5 Short-Form (PID-5-SF).
Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Decoding personality functioning: the impact of DSM-5 pathological traits mediated by emotion dysregulation and metacognition.Borderline personality disorder and emotion dysregulation · 2025Article
- Using the alternative model of personality disorders for DSM-5 traits to identify personality types, and the relationship with disordered eating, depression, anxiety and stress.Journal of eating disorders · 2025Article
- Development and validation of the short form of the Parker personality measure among Chinese college students.Frontiers in public health · 2025Article
- A Longitudinal Network of Borderline-Related Trait Vulnerabilities from Childhood to Adolescence.Research on child and adolescent psychopathology · 2024Article
- Longitudinal Relations among Identity Distinctiveness, Continuity, and Integration among Dutch Adolescents.Journal of youth and adolescence · 2023Article
- Dimensional personality pathology and disordered eating in young adults: measuring the DSM-5 alternative model using the PID-5.Frontiers in psychology · 2023Article
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Authors and funding
4 authors.
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Abstract
There is currently a lack of understanding of the structure of personality disorder (PD) trait facets. The network approach may be useful in providing additional insights, uncovering the unique association of each PD trait facet with every other facet. A unique feature of network analysis is centrality, which indicates the importance of the role a trait facet plays in the context of other trait facets. Using data from 1,940 community Dutch adolescents, we applied network analysis to the 25 trait facets from the 100-item Personality Inventory for DSM-5 Short-Form (PID-5-SF) to explore their associations. We found that some trait facets only seem to be core indicators of their pre-ordained domains, whereas we observed that other trait facets were strongly associated with trait facets outside of their hypothesized domains. Importantly, anxiousness and callousness were identified as highly central facets, being uniquely associated with many other trait facets. Future longitudinal network studies could therefore further examine the possibility of anxiousness and callousness as risk marker trait facets among other PD trait facets.
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