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Adjustment Disorder: Empirical Study of a New Diagnostic Concept for Icd-11 in the General Population in Lithuania

Published online by Cambridge University Press:  10 November 2016

P. Zelviene
Affiliation:
Vilnius University, Department of Clinical and Organizational Psychology 9, Universiteto streetVilnius01513, Lithuania
E. Kazlauskas*
Affiliation:
Vilnius University, Department of Clinical and Organizational Psychology 9, Universiteto streetVilnius01513, Lithuania
J. Eimontas
Affiliation:
Vilnius University, Department of Clinical and Organizational Psychology 9, Universiteto streetVilnius01513, Lithuania
A. Maercker
Affiliation:
University of Zurich, Department of Psychology 14, Binzmuhlestr., Box 17 CHZurich8050, Switzerland
*
* Corresponding author. E-mail address:evaldas.kazlauskas@fsf.vu.lt (E. Kazlauskas).
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Abstract

Objective

Adjustment disorder (AD) is one of the most debated diagnoses in psychiatry since it has been recognised as vaguely defined and causing a lot of difficulties in clinical practice. We aimed to analyse the structure of adjustment disorder based on International Classification of Diseases (ICD)–11 proposals by the WHO ICD-11 Working Group on the Classification of Disorders Specifically Associated with Stress in the general population in Lithuania. Three structural models of adjustment disorder were tested using Confirmatory Factor Analysis (CFA).

Method

Data from the sample of 649 participants who experienced at least one significant stressor during the last two years was included in CFA analysis. Stressor exposure and AD symptoms were measured with the Lithuanian version of the Adjustment Disorder New Module (ADNM-20).

Results

The CFA analysis revealed that the two core factor model of the AD with two core symptoms: preoccupation and failure to adapt fitted data the best in contrast to other two models.

Conclusion

The study supports the ICD-11 proposal for the structure of adjustment disorder with two core symptoms: preoccupation and failure to adapt. Further studies are needed to analyse the structure of AD in other populations.

Type
Original article
Copyright
Copyright © Elsevier Masson SAS 2017

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