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Related Concept Videos

Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

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A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
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The Adjustment Disorder--New Module 20 as a Screening Instrument: Cluster Analysis and Cut-off Values.

L Lorenz1, R C Bachem2, A Maercker2

  • 1Department of Psychology, Division of Psychopathology and Clinical Intervention, University of Zurich, Zurich, Switzerland. l.lorenz@psychologie.uzh.ch.

The International Journal of Occupational and Environmental Medicine
|September 22, 2016
PubMed
Summary
This summary is machine-generated.

A new scale, the Adjustment Disorder--New Module 20 (ADNM-20), can identify individuals at high risk for adjustment disorder. A cut-off score of 47.5 on the ADNM-20 effectively distinguishes between high and low risk groups.

Keywords:
Adjustment disorderDiagnosisSymptom assessmentTrauma and stressor related disorders

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Area of Science:

  • Psychiatry
  • Psychological Assessment
  • Mental Health Research

Background:

  • Adjustment disorder (AjD) is a temporary mental health condition following stressful events.
  • Diagnostic criteria for AjD are under revision, leading to the development of the ADNM-20 self-report assessment.
  • The ADNM-20 aims to provide a standardized measure for AjD symptomatology.

Purpose of the Study:

  • To establish a threshold score on the ADNM-20 for identifying individuals at high risk of developing adjustment disorder.
  • To validate the ADNM-20's utility in distinguishing between different levels of AjD risk.

Main Methods:

  • Utilized baseline data from 80 participants in a randomized controlled trial for burglary victims.
  • Administered the ADNM-20 along with questionnaires for PTSD, depression, anxiety, and stress.
  • Employed cluster analysis and Receiver Operating Characteristic (ROC) analysis to determine the optimal cut-off score.

Main Results:

  • Cluster analysis revealed three distinct subgroups with varying levels of AjD symptomatology and external variables.
  • ROC analysis identified an optimal cut-off score of 47.5 on the ADNM-20 sum score.
  • This cut-off effectively differentiates individuals at high risk from those at low risk for AjD.

Conclusions:

  • The ADNM-20 reliably categorizes individuals into low, moderate, and high symptomatology groups.
  • A recommended cut-off score of 47.5 enhances the practical application of the ADNM-20 in clinical research and practice.
  • The ADNM-20 serves as a valuable tool for assessing adjustment disorder risk.