DSM-5 self-rated level 1 cross-cutting symptom measure (CCSM1): Proposal for a three-factors model and implications for the assessment of at-risk situations
Related Experiment Video
Updated: Jul 7, 2025

Functional Near-Infrared Spectroscopy Hyperscanning Study in Psychological Counseling
Published on: January 17, 2025
Serge Combaluzier1, Brice Gouvernet1, Chloé Launay2
1CRFDP (UR 7475), université de Rouen Normandie, 1, rue Lavoisier, 76821 Mont-Saint-Aignan cedex, France.
Objective:
The aim of this paper is to study the measurement of the DSM5 self-rated transversal symptoms level 1 (CCSM1) from a dimensional perspective in line with current models of psychopathology in three factors: internalization, thought disorders, externalization.
Method:
Based on the 670 non-clinical protocols we collected, we verified that the VSS is composed of three factors. We studied the 3-factor composition with half of the sample and confirmed this composition with the other half. To show that these three factors were more relevant than the original 13 dimensions, we compared the results to three clinical groups and, after a cluster analysis, we investigated the intensity and frequency of people at risk across the original dimensions.
Results:
While the 13 initial dimensions of the CCSM1 do not completely differentiate this sample from the clinical groups, the three high-order dimensions are discriminating. Clustering confirms these results when comparing the least and most affected subjects and allows us to see that these three HODs have significant impacts on the observation of cases at risk of clinical disorders in this non-clinical sample.
Discussion:
To be further validated, these three HODs should be studied in relation to tools that assess internalization, thought disorders or externalization.
More Related Videos
09:55Use of a Psychophysiological Script-driven Imagery Experiment to Study Trauma-related Dissociation in Borderline Personality Disorder
Published on: March 8, 2018
07:31Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Related Concept Videos
Self-Discrepancy Theory
Self-Report Tests of Personality
Diagnostic and Statistical Manual of Mental Disorders (DSM)
Self-Presentation: Self-Monitoring and Self-Handicapping
Assessment of the Cardiovascular System I: Subjective Data
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...
Factors Affecting Illness
For instance, risk factors are connected to illness,...