ORCID Profile
0000-0001-5205-9010
Current Organisation
University of Toledo
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Elsevier BV
Date: 07-2011
DOI: 10.1016/J.JAD.2011.02.011
Abstract: The nature and structure of posttraumatic stress disorder (PTSD) has been the subject of much interest in recent times. This research has been represented by two streams, the first representing a substantive body of work which focuses specifically on the factor structure of PTSD and the second exploring PTSD's relationship with other mood and anxiety disorders. The present study attempted to bring these two streams together by examining structural models of PTSD and their relationship with dimensions underlying other mood and anxiety disorders. PTSD, anxiety and mood disorder data from 989 injury survivors interviewed 3-months following their injury were analyzed using a series of confirmatory factor analyses (CFA) to identify the optimal structural model. CFA analyses indicated that the best fitting model included PTSD's re-experiencing (B1-5), active avoidance (C1-2), and hypervigilance and startle (D4-5) loading onto a Fear factor (represented by panic disorder, agoraphobia and social phobia) and the PTSD dysphoria symptoms (numbing symptoms C3-7 and hyperarousal symptoms D1-3) loading onto an Anxious Misery/Distress factor (represented by depression, generalized anxiety disorder and obsessive compulsive disorder). The findings have implications for informing potential revisions to the structure of the diagnosis of PTSD and the diagnostic algorithm to be applied, with the aim of enhancing diagnostic specificity.
Publisher: Hindawi Limited
Date: 25-06-2013
DOI: 10.1002/DA.22148
Abstract: Anger is a common emotional sequel in the aftermath of traumatic experience. As it is associated with significant distress and influences recovery, anger requires routine screening and assessment. Most validated measures of anger are too lengthy for inclusion in self-report batteries or as screening tools. This study examines the psychometric properties of a shortened 5-item version of the Dimensions of Anger Reactions (DAR), an existing screening tool. Responses to the DAR-5 were analysed from a s le of 486 college students with and without a history of trauma exposure. The DAR-5 demonstrated strong internal reliability and concurrent validity with the State Trait Anger Expression Inventory-2 (STAXI-2). Confirmatory factor analysis supported a single factor model of the DAR-5 for the trauma-exposed and nontrauma subs les. A screening cut-off point of 12 on the DAR-5 successfully differentiated high and low scorers on STAXI-2 Trait Anger and PCL posttraumatic stress scores. Further discriminant validity was found with depression symptom scores. The results support use of the DAR-5 for screening for anger when a short scale is required.
Publisher: Wiley
Date: 21-02-2022
DOI: 10.1111/ADD.15831
Publisher: Elsevier BV
Date: 2015
DOI: 10.1016/J.JANXDIS.2014.11.004
Abstract: Confirmatory factor analytic studies of the latent structure of DSM-5 PTSD symptoms using self-report data (Elhai et al., 2012 Miller et al., 2013) have found that the four-factor model implied by the DSM-5 diagnostic criteria provided adequate fit to their data. However, the fit of this model is yet to be assessed using data derived from gold standard structured interview measures. This study evaluated the fit of the DSM-5 four-factor model and an alternative four-factor model in 570 injury survivors six years post-injury using the Clinician Administered PTSD Scale (Blake et al., 1990), updated to include items measuring new DSM-5 symptoms. While both four-factor models fitted the data well, very high correlations between the 'Intrusions' and 'Avoidance' factors in both models and between the 'Negative Alterations in Cognitions and Mood' and 'Arousal and Reactivity' factors in the DSM-5 model and the 'Dysphoria' and 'Hyperarousal' factors in the alternative model were evident, suggesting that a more parsimonious two-factor model combining these pairs of factors may adequately represent the latent structure. Such a two-factor model fitted the data less well according to χ(2) difference testing, but demonstrated broadly equivalent fit using other fit indices. Relationships between the factors of each of the four-factor models and the latent factors of Fear and Anxious-Misery/Distress underlying Internalizing disorders (Krueger, 1999) were also explored, with findings providing further support for the close relationship between the Intrusion and Avoidance factors. However, these findings also suggested that there may be some utility to distinguishing Negative Alterations in Cognition and Mood symptoms from Arousal and Reactivity symptoms, and/or Dysphoria symptoms from Hyperarousal symptoms. Further studies are required to assess the potential discriminant validity of the two four-factor models.
Publisher: Elsevier BV
Date: 10-2020
Publisher: Elsevier BV
Date: 2016
DOI: 10.1016/J.JAD.2015.09.071
Abstract: The posttraumatic stress disorder (PTSD) literature is replete with investigations of factor structure, however, few empirical studies have examined discriminant validity and the moderating role of gender on factor structure and symptom expression. This study aimed to address these gaps. An online, population-based study of 3175 Australian adults was conducted. This study analyzed data from 642 participants who reported a traumatic event. Overall, 10.2% (13.4% females, 7.6% males) met diagnostic criteria for current PTSD. Confirmatory factor analyses indicated that eight factor models provided excellent fit to the data. The DSM-5 model, anhedonia and hybrid models provided strong fit to the data, based on statistical fit indices and parsimony. The models' factors were significantly associated with a number of external correlates. Factor structure was gender invariant for the three models, albeit significant latent mean-level differences were apparent in relation to the intrusion/re-experiencing and alterations in arousal and reactivity factors. Bonferroni-adjusted Wald chi-square tests indicated significant gender differences in four DSM-5 PTSD symptoms: females reported significantly higher rates of negative beliefs, diminished interest, restricted affect and sleep disturbance symptoms compared to men. Response rate to the survey was low. However, the number of respondents who completed the survey was high and population weights were employed to account for self-selection biases and aid generalizability. The findings provide support for the DSM-5, anhedonia and hybrid models compared to alternative models based on DSM-5 symptoms. Discriminant validity analyses indicated similar patterns of significant associations with the transdiagnostic factors, potentially suggesting that all the PTSD factors are related to non-specific distress. Further research investigating how gender influences PTSD symptom expression is warranted, including possible gender differences in symptom item interpretation.
Publisher: Alcohol Research Documentation, Inc.
Date: 2014
DOI: 10.15288/JSAD.2014.75.170
Abstract: Substance use and childhood maltreatment experience are linked, but little is known about the association with polydrug use patterns. Latent class analyses (LCA) were performed on eight illicit drugs in a random population s le of young Danes separated by sex (males: n = 1,555 females: n = 1,425). Logistic regressions explored associations of polydrug use patterns and childhood maltreatment. A three-class solution best described patterns of polydrug use in both the male and female s les. Across all LCA models, Class 1 was characterized by in iduals who represented wide-range polydrug users, endorsing many of the drug types (males = 8% females = 2%). Class 2 was characterized by hetamine, cannabis, cocaine, and amyl nitrate users (males = 18% females = 7%). Class 3 was characterized by in iduals who endorsed either low-level use of cannabis only or no drug use (males = 74% females = 91 %). For males, having been a child-protection case was associated with Classes 1 and 2 and for females with Class 2, compared with Class 3. Alcohol problems were associated with Classes 1 and 2 for both sexes. Sexual abuse was associated with Classes 1 and 2 for females but not males, whereas physical abuse was associated with Classes 1 and 2 for males but not females, as compared with Class 3. Separate sex analyses are important although patterns of polydrug use are broadly similar, females are less frequently polydrug users. In addition, different relationships exist for the sexes, such that polydrug use patterns are associated with sexual abuse in females, whereas such patterns are associated with physical abuse in young males.
Publisher: Elsevier BV
Date: 12-2014
DOI: 10.1016/J.JANXDIS.2014.09.015
Abstract: After a traumatic event many people experience problems with anger which not only results in significant distress, but can also impede recovery. As such, there is value to include the assessment of anger in routine post-trauma screening procedures. The Dimensions of Anger Reactions-5 (DAR-5), as a concise measure of anger, was designed to meet such a need, its brevity minimizing the burden on client and practitioner. This study examined the psychometric properties of the DAR-5 with a s le of 163 male veterans diagnosed with Posttraumatic Stress Disorder. The DAR-5 demonstrated internal reliability (α=.86), along with convergent, concurrent and discriminant validity against a variety of established measures (e.g., HADS, PCL, STAXI). Support for the clinical cut-point score of 12 suggested by Forbes et al. (2014, Utility of the dimensions of anger reactions-5 (DAR-5) scale as a brief anger measure. Depression and Anxiety, 31, 166-173) was observed. The results support considering the DAR-5 as a preferred screening and assessment measure of problematic anger.
Location: United States of America
No related grants have been discovered for Jon Elhai.