Systemic sclerosis & Raynaud's

Differential Item Functioning on the Patient Health Questionnaire 8 by Disease Subtype, Language, Sex, and Age Among People With Systemic Sclerosis: A Scleroderma Patient‐Centered Intervention Network Cohort Study

Arthritis Care Res (Hoboken)Published Cohort study

Authors' conclusion

We did not find evidence that the PHQ-8 performs differently across SSc subtypes, language of administration, sex, and age groups.

Study context

Population
Participants in the Scleroderma Patient-Centered Intervention Network Cohort who completed the Patient Health Questionnaire (PHQ-8) at enrollment, April 2014 to October 2020
Participants
2,191 participants
Exposure
PHQ-8 item functioning across systemic sclerosis (SSc) subtype, language, sex and age
Outcome
Differential item functioning (DIF) in PHQ-8 items across SSc subtypes
Follow-up
Enrollment
Methodological detailsconfirmatory factor analysis, Multiple Indicators Multiple Causes models
  • Confirmatory factor analysis
  • Multiple Indicators Multiple Causes models

Main finding

As reported in the abstract

DIF by SSc subtype
  • No statistically significant differential item functioning (DIF) based on SSc subtype

Observational data: associations, not effects.

Further findings

PHQ-8 factor structure (confirmatory factor analysis (CFA) with several covarying error terms)

One-factor structure supported: Tucker-Lewis Index
0.99
Comparative Fit Index
0.98
Root Mean Square Error of Approximation
0.08

DIF by language, sex and age

Items with statistically significant DIF for language
1
Items with statistically significant DIF for sex
1
Items with statistically significant DIF for age
2
Effect of DIF on overall PHQ-8 scores negligeable in all cases

Original publication

Differential Item Functioning on the Patient Health Questionnaire 8 by Disease Subtype, Language, Sex, and Age Among People With Systemic Sclerosis: A Scleroderma Patient‐Centered Intervention Network Cohort Study. Arthritis Care Res (Hoboken). Published 19 March 2026. doi:10.1002/acr.70041

Composed by AI from the published abstract and checked against it. How Briefs are made →

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