Investigating the latent structure of the International Trauma Questionnaire to assess ICD‐11 posttraumatic stress disorder (PTSD) and complex PTSD in an adult civilian sample during the Ukraine war.
Published In: Journal of Traumatic Stress, 2023, v. 36, n. 4. P. 820 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Ho, Grace W. K.; Vang, Maria Louison; Martsenkovskyi, Dmytro; Karatzias, Thanos; Ben‐Ezra, Menachem; McElroy, Eoin; Redican, Enya; Cloitre, Marylene; Lorberg, Boris; Hyland, Philip; Shevlin, Mark 3 of 3
Abstract
The symptom structure of ICD‐11 posttraumatic stress disorder (PTSD) and complex PTSD (CPTSD) and the validity of the International Trauma Questionnaire (ITQ) are yet to be tested among civilians in an active war zone. The present investigation examined the factor structure of the ITQ, the internal consistency of observed scores, and their associations with demographic characteristics and war‐related experiences using a nationwide sample of 2,004 adults from the general population of Ukraine approximately 6 months after the full‐scale Russian invasion in 2022. Overall, rates of endorsement across all symptom clusters were high. The mean total number of war‐related stressors reported was 9.07 (SD = 4.35, range: 1–26). Internal reliability was good for all six ITQ subscales, Cronbach's αs =.73–.88, and the correlated six‐factor model was found to provide the best representation of the latent structure of the ITQ in the present sample based on fit indices. There was evidence of a dose–response relationship, with increasing scores on all symptom clusters associated with higher total reported war‐related stressors. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Traumatic Stress. 2023/08, Vol. 36, Issue 4, p820
- Document Type:Article
- Subject Area:Military History and Science
- Publication Date:2023
- ISSN:0894-9867
- DOI:10.1002/jts.22943
- Accession Number:169973073
- Copyright Statement:Copyright of Journal of Traumatic Stress is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.