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DOI 10.1037/pas0000748

Медицинская библиотека · Psychological assessment · 2019

Network analysis of exposure to trauma and childhood adversities in a clinical sample of youth.

Hodgdon Hilary B, Suvak Michael, Zinoviev Dmitry Y, Liebman Rachel E, Briggs Ernestine C, Spinazzola Joseph

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Аннотация

Categorizing and quantifying exposure to trauma and childhood adversities (CAs) presents a significant measurement and analytic challenge. The current study examined the co-occurrence of trauma and CA types using network analyses, an alternative to traditional measurement models. The Trauma History Profile, assessing lifetime exposure to 20 different trauma and CA types, was administered to 618 treatment-seeking children and youth ages 4 to 18 years (52.8% female). The generalized similarity model (Kovács, 2010) was used to construct a network of trauma/CA types to visualize relationships and detect cohesive groups. Four clusters of trauma/CA types emerged: overt forms occurring at the individual level (e.g., physical, sexual, and psychological maltreatment), environmental forms at the family level (e.g., neglect, impaired caregiving), environmental forms occurring at the community level (e.g., community and school violence), and acute forms (e.g., loss, medical trauma). Age of onset data indicated that neglect and psychological maltreatment were most predictive of later occurrences of other trauma and CAs. Structural equation modeling indicated that trauma/CA clusters displayed specific associations with posttraumatic stress, internalizing, and externalizing symptoms. Results demonstrate the potential utility of network analysis to understand the co-occurrence and temporal ordering of multiple types of trauma and CAs. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Для цитирования: Hodgdon Hilary B, Suvak Michael, Zinoviev Dmitry Y, Liebman Rachel E, Briggs Ernestine C, Spinazzola Joseph. Network analysis of exposure to trauma and childhood adversities in a clinical sample of youth.. Psychological assessment. 2019. DOI: 10.1037/pas0000748.

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