Examining the Factor Structure of the DSM-5 Level 1 Cross-Cutting Symptom Measure

OBJECTIVES: The DSM-5 Level 1 Cross-Cutting Symptom Measure (DSM-XC) is a transdiagnostic mental health symptom measure that has shown promise in informing clinical diagnostic evaluations and as a screening tool for research. However, few studies have assessed the latent dimensionality of the DSM-XC. We examined the factor structure of the DSM-XC in a large convenience sample of participants with varying degrees of psychological health.

METHODS: Participants (n=3533) enrolled in a protocol conducted at the National Institute of Mental Health (NCT04339790). We used a factor analytic framework to evaluate an existing two-factor solution (Lace & Merz, 2020) and two additional candidate solutions.

RESULTS: The Lace and Merz solution had acceptable fit. Exploratory factor analysis yielded two candidate solutions: a six-factor (characterized as mood, worry, activation, somatic, thoughts, and substance use) and a bifactor (general factor of non-specific psychopathology, residual factors characterized as internalizing and thought disorder), which both had good fit and full measurement invariance across age, sex, and enrollment date.

CONCLUSIONS: Our findings confirm that the DSM-XC may be conceptualized as a multidimensional instrument and provide a scoring solution for researchers who wish to measure distinct constructs. Future research on the psychometric profile of the DSM-XC is needed, focused on the validity of these candidate solutions and their performance across research populations and settings.

Errataetall:

UpdateIn: Int J Methods Psychiatr Res. 2022 Nov 1;:e1953. - PMID 36318494

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - year:2021

Enthalten in:

medRxiv : the preprint server for health sciences - (2021) vom: 16. Nov.

Sprache:

Englisch

Beteiligte Personen:

Gibbons, Alison [VerfasserIn]
Farmer, Cristan [VerfasserIn]
Shaw, Jacob S [VerfasserIn]
Chung, Joyce Y [VerfasserIn]

Links:

Volltext

Themen:

COVID-19
Clinical research
Factor analysis
Mental health
Preprint
Transdiagnostic

Anmerkungen:

Date Revised 07.06.2023

published: Electronic

UpdateIn: Int J Methods Psychiatr Res. 2022 Nov 1;:e1953. - PMID 36318494

Citation Status PubMed-not-MEDLINE

doi:

10.1101/2021.04.28.21256253

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM325015473