Evidence map›Paper›PMID 33948606›Full record

ArticlemedRxiv : the preprint server for health sciences2021

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

Alison Gibbons, Cristan Farmer, Jacob S Shaw, Joyce Y Chung

Registry-linked trialAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04339790 (Mental Health Impact of COVID-19 Pandemic on NIMH Research Participants and Volunteers), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04339790 completednot on this map

Mental Health Impact of COVID-19 Pandemic on NIMH Research Participants and Volunteers

TypeobservationalSponsorNational Institute of Mental Health (NIMH)Ran2020 to 2021Enrolled3,655ConditionsHealthy Volunteer, Mood Disorder, Anxiety Disorder, Preexisting Medical Condition
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Alison GibbonsNational Institute of Mental Health, Office of the Clinical Director, 10 Center Drive, NIH Building 10, Room 6-5340, Bethesda, MD 20892, USA.
Cristan FarmerNational Institute of Mental Health, Office of the Clinical Director, 10 Center Drive, NIH Building 10, Room 6-5340, Bethesda, MD 20892, USA.
Jacob S ShawNational Institute of Mental Health, Office of the Clinical Director, 10 Center Drive, NIH Building 10, Room 6-5340, Bethesda, MD 20892, USA.
Joyce Y ChungNational Institute of Mental Health, Office of the Clinical Director, 10 Center Drive, NIH Building 10, Room 6-5340, Bethesda, MD 20892, USA.

Funding

Psychiatry Consultation Liaison Service ResearchZIAMH002922 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI PAO, MARYLAND · 2009 to 2025
$11.5M
Intramural NIH HHS ZIA MH002922
6 · The paper itself

Abstract

objectivesThe 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.

methodsParticipants (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.

resultsThe 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.

conclusionsOur 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.

Indexed as

clinical researchCOVID-19factor analysismental healthtransdiagnostic

Identifiers

PMID33948606
PMCPMC8095225

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.