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The Adjustment Disorder - New Module 20 as a Screening Instrument: Cluster Analysis and Cut-off Values


Lorenz, Louisa; Bachem, Rahel; Maercker, Andreas (2016). The Adjustment Disorder - New Module 20 as a Screening Instrument: Cluster Analysis and Cut-off Values. International Journal of Occupational and Environmental Medicine, 7(4):215-220.

Abstract

BACKGROUND
Adjustment disorder (AjD) is a transient mental health condition emerging after stressful life events. Its diagnostic criteria have recently been under revision which led to the development of the Adjustment Disorder--New Module 20 (ADNM-20) as a self-report assessment.

OBJECTIVE
To identify a threshold value for people at high risk for AjD.

METHODS
As part of a randomized controlled trial evaluating a self-help manual for burglary victims, the baseline data of all participants (n=80) were analyzed. Besides the ADNM-20, participants answered self-report questionnaires regarding the external variables post-traumatic stress disorder symptomatology, depression, anxiety, and stress levels. We used cluster analysis and ROC analysis to identify the most appropriate cut-off value.

RESULTS
The cluster analysis identified three different subgroups. They differed in their level of AjD symptomatology from low to high symptom severity. The same pattern of impairment was found for the external variables. The ROC analysis testing the ADNM-20 sum scoreagainst the theory-based diagnostic algorithm, revealed an optimal cut-off score at 47.5 to distinguish between people at high risk for AjD and people at low risk.

CONCLUSION
The ADNM-20 distinguishes between people with low, moderate, and high symptomatology. The recommendation for a cut-off score at 47.5 facilitates the use of the ADNM-20 in research and practice.

Abstract

BACKGROUND
Adjustment disorder (AjD) is a transient mental health condition emerging after stressful life events. Its diagnostic criteria have recently been under revision which led to the development of the Adjustment Disorder--New Module 20 (ADNM-20) as a self-report assessment.

OBJECTIVE
To identify a threshold value for people at high risk for AjD.

METHODS
As part of a randomized controlled trial evaluating a self-help manual for burglary victims, the baseline data of all participants (n=80) were analyzed. Besides the ADNM-20, participants answered self-report questionnaires regarding the external variables post-traumatic stress disorder symptomatology, depression, anxiety, and stress levels. We used cluster analysis and ROC analysis to identify the most appropriate cut-off value.

RESULTS
The cluster analysis identified three different subgroups. They differed in their level of AjD symptomatology from low to high symptom severity. The same pattern of impairment was found for the external variables. The ROC analysis testing the ADNM-20 sum scoreagainst the theory-based diagnostic algorithm, revealed an optimal cut-off score at 47.5 to distinguish between people at high risk for AjD and people at low risk.

CONCLUSION
The ADNM-20 distinguishes between people with low, moderate, and high symptomatology. The recommendation for a cut-off score at 47.5 facilitates the use of the ADNM-20 in research and practice.

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Additional indexing

Item Type:Journal Article, not refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Psychology
Dewey Decimal Classification:150 Psychology
Uncontrolled Keywords:DoktoratPsych Erstautor
Date:October 2016
Deposited On:30 Sep 2016 11:55
Last Modified:08 Dec 2017 20:29
Publisher:National Iranian Oil Company (NIOC) Health Organization
ISSN:2008-6520
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.15171/ijoem.2016.775
PubMed ID:27651082

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