Lorenz, Louisa and Hyland, Philip and 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
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: |
https://doi.org/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 |
| URI: |
|
| 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 |
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