MURAL - Maynooth University Research Archive Library



    An empirical assessment of adjustment disorder as proposed for ICD-11 in a general population sample of Israel


    Lorenz, Louisa, Hyland, Philip, Maercker, Andreas and Ben-Ezra, Menachem (2018) An empirical assessment of adjustment disorder as proposed for ICD-11 in a general population sample of Israel. Journal of Anxiety Disorders, 54. pp. 65-70. ISSN 0887-6185

    [thumbnail of PH_psychology_an empirical.pdf]
    Preview
    Text
    PH_psychology_an empirical.pdf

    Download (204kB) | Preview

    Abstract

    Background: A new diagnostic concept of Adjustment Disorder (AjD) was proposed for inclusion in the International Classification of Diseases, 11th version (ICD-11). However, the symptom structure of AjD is poorly understood. The aim of the present study was to investigate the dimensionality of AjD as a stress-response syndrome. Methods: A general population sample of the Israeli population (N = 1003) completed the Adjustment Disorder – New Module 20 and the WHO-5 Wellbeing Scale. We compared seven alternative models of AjD using confirmatory factor analysis (CFA). A latent profile analysis (LPA) was performed to determine if subtypes of AjD were present. The performance of the unidimensional and multidimensional models of AjD were evaluated using regression analyses. Results: CFA results supported a unidimensional model of AjD. The LPA identified three quantitatively distinct classes (low, medium, and high) with no evidence of any subtypes of AjD. The criterion validity of AjD was superior when treated as unidimensional. AjD was associated with lower levels of psychological wellbeing (β = −.32, p < .001). Conclusions: Our results suggest that AjD is better conceptualised as a unidimensional construct. Future work should focus on a reduction of required symptoms in order to improve clinical utility and validity of the diagnosis.
    Item Type: Article
    Keywords: Adjustment disorder; ICD-11; Bifactor model; Confirmatory factor analysis; CFA; Latent class analysis;
    Academic Unit: Faculty of Science and Engineering > Psychology
    Item ID: 13298
    Identification Number: 10.1016/j.janxdis.2018.01.007
    Depositing User: Philip Hyland
    Date Deposited: 25 Sep 2020 14:50
    Journal or Publication Title: Journal of Anxiety Disorders
    Publisher: Elsevier
    Refereed: Yes
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/13298
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

    Repository Staff Only (login required)

    Item control page
    Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads