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Background: Adjustment disorder is one of the most widespread mental disorders worldwide. In ICD-11, adjustment disorder is characterised by two main symptom clusters: preoccupation with the stressor and failure to adapt. A network analytic approach has been applied to most ICD-11 stress-related disorders. However, no study to date has explored the relationship between symptoms of adjustment disorder using network analysis.Aims: We aimed to explore the network structure of adjustment disorder symptoms and whether its structure replicates across questionnaire versions and samples.Method: A network analysis was conducted on adjustment disorder symptoms as assessed by the Adjustment Disorder-New Module (ADNM-8) and an ultra-brief version (ADNM-4) using data from 2524 participants in Nigeria (n = 1006), Kenya (n = 1018) and Ghana (n = 500).Results: There were extensive connections between items across all samples in both ADNM versions. Results highlight that preoccupation symptoms seem to be more prominent in terms of edges strengths (i.e. connections) and had the highest centrality in all networks across samples and ADNM versions. Comparisons of network structure invariance revealed one difference between Nigeria and Ghana in both ADNM versions. Importantly, the ADNM-8 global strength was similar in all networks whereas in the ADNM-4 Kenya had a higher global strength score compared with Nigeria.Conclusions: Results provide evidence of the coherence of adjustment disorder in ICD-11 as assessed by the ADNM questionnaire. The prominence of preoccupation symptoms in adjustment disorder highlights a possible therapeutic target to alleviate distress. There is a need to further replicate the network structure of adjustment disorder in non-African samples. [ABSTRACT FROM AUTHOR]

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The aim of this study was to test the factorial structure of Posttraumatic Stress Disorder (PTSD) and Complex PTSD (CPTSD) as outlined in the 11th revision of the International Classification of Diseases (ICD-11) in three African community samples using the International Trauma Questionnaire (ITQ). Four models were tested using confirmatory factor analysis based on a total sample of 2,524 participants, and the two-factor second-order model, representing PTSD and Disturbances in Self-organization (DSO), was the best fitting model. The factors were validated using demographic and trauma-related variables, supporting the use of the ITQ for English-speaking participants in these African countries. [ABSTRACT FROM AUTHOR]

Copyright of European Journal of Psychotraumatology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. 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.)

Symptom network analysis has become an essential tool for researchers and clinicians investigating the structure of mental disorders. Two methods have been used; one relies on partial correlations, and the second relies on zero order correlations with forced-directed algorithm. This combination was used to examine symptom connections for ICD-11 Posttraumatic Stress Disorder (PTSD) and Complex PTSD (CPTSD) as the symptoms for these disorders have been known to be organized in a multi-dimensional and hierarchical fashion. We aimed to examine whether networks of ICD-11 CPTSD symptoms reproduced across samples from three African countries. We produced network models based on data from 2524 participants in Nigeria (n = 1018), Kenya (n = 1006), and Ghana (n = 500). PTSD and CPTSD symptoms were measured using the International Trauma Questionnaire (Cloitre et al., 2018). The CPTSD network analysis using force-directed method alongside partial correlations based on Gaussian Graphical Models (GGM) revealed the multidimensional-hierarchal structure of CPTSD. The within-cluster symptoms of Disturbances in Self Organization (DSO) and PTSD were strongly correlated with each other in all networks, and the cross-cluster symptoms were lower. The most central symptom was 'feelings of worthlessness', a symptom of Negative Self-Concept that is part of the CPTSD cluster. The networks were very similar across the three countries. Findings support the ICD-11 model of PTSD and CPTSD in three African countries. [ABSTRACT FROM AUTHOR]

Background: The primary aim of the current study was to establish the cutoffs scores for the Subjective Traumatic Outlook (STO), a relatively new tool that examines the introspective worldview of those exposed to traumatic events. This tool was developed as a complementary scale to be used in conjunction with the observed-phenomenological measures of posttraumatic stress disorder (PTSD) complex PTSD (CPTSD). The present study examines the predictive power of STO for distinguishing between PTSD and CPTSD in African countries. Method: A national representative (based on age and gender) sample of 2,554 participants was drawn from 3 African countries (Nigeria, Kenya, and Ghana) who completed the International Trauma Questionnaire (ITQ) and the STO. We conducted a set of analyses examining that alignment of ITQ probable PTSD and CPTSD and different STO cutoff scores. Results: Results suggest that the STO single-factor structure was stable across countries, had a strong association with PTSD and CPTSD levels, and had predictive utility in differentiating between PTSD and CPTSD. Moreover, we found that there are different cutoffs for the STO in the different countries. Conclusion: There is a strong but distinctive association between the introspective and the observed-phenomenological approaches of PTSD and CPTSD. Our findings call for more integrative approaches for the assessment of PTSD and CPTSD and suggest that there are cultural differences in STO. (PsycInfo Database Record (c) 2021 APA, all rights reserved).