The Adjustment Disorder--New Module 20 as a Screening Instrument: Cluster Analysis and Cut-off Values.
- Lorenz L Department of Psychology, Division of Psychopathology and Clinical Intervention, University of Zurich, Zurich, Switzerland. l.lorenz@psychologie.uzh.ch.
- Bachem RC Department of Psychology, Division of Psychopathology and Clinical Intervention, University of Zurich, Zurich, Switzerland.
- Maercker A Department of Psychology, Division of Psychopathology and Clinical Intervention, University of Zurich, Zurich, Switzerland.
- 2016-09-22
Published in:
- The international journal of occupational and environmental medicine. - 2016
Adjustment disorder
Diagnosis
Symptom assessment
Trauma and stressor related disorders
Adjustment Disorders
Adult
Aged
Aged, 80 and over
Algorithms
Anxiety
Cluster Analysis
Depression
Female
Humans
Life Change Events
Male
Middle Aged
ROC Curve
Randomized Controlled Trials as Topic
Severity of Illness Index
Stress Disorders, Post-Traumatic
Stress, Psychological
Surveys and Questionnaires
Young Adult
English
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.
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.
- Language
-
- English
- Open access status
- gold
- Identifiers
-
- DOI 10.15171/ijoem.2016.775
- PMID 27651082
- Persistent URL
- https://sonar.rero.ch/global/documents/142073
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