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
- PMID: 41556631
- DOI: 10.1002/acr.70041
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
Abstract
Objective: Somatic items used in depression assessments can potentially overlap with symptoms related to physical illness, including systemic sclerosis (SSc). No studies have looked at whether somatic depression items may be influenced by diffuse versus limited SSc disease subtypes, which are associated with varying degrees of symptom presentation. The objective of this study was to evaluate differential item functioning (DIF) in items of the 8-item Patient Health Questionnaire (PHQ-8) across SSc subtypes. We also assessed the PHQ-8 for DIF across language (English and French), sex, and age.
Methods: Participants enrolled in the Scleroderma Patient-Centered Intervention Network Cohort who completed the PHQ-8 at enrollment between April 2014 and October 2020 were included. Confirmatory factor analysis (CFA) was used to evaluate the unidimensional structure of the PHQ-8, and DIF analyses based on SSc subtype, language, sex, and age were conducted using Multiple Indicators Multiple Causes models.
Results: In total, 2,191 participants were included. CFA with several covarying error terms supported a one-factor structure for the PHQ-8 (Tucker-Lewis Index = 0.99, Comparative Fit Index = 0.98, Root Mean Square Error of Approximation = 0.08). We did not identify statistically significant DIF based on SSc subtype. Statistically significant DIF was found in one item for language, one item for sex, and two items for age. However, the effect of DIF on overall PHQ-8 scores was negligeable in all cases.
Conclusion: We did not find evidence that the PHQ-8 performs differently across SSc subtypes, language of administration, sex, and age groups.
© 2026 The Author(s). Arthritis Care & Research published by Wiley Periodicals LLC on behalf of American College of Rheumatology.
References
-
- Kroenke K, Spitzer RL, Williams JBW. The PHQ‐9: validity of a brief depression severity measure. J Gen Intern Med 2001;16(9):606–613. doi:10.1046/j.1525-1497.2001.016009606.x
-
- Moriarty AS, Gilbody S, McMillan D, et al. Screening and case finding for major depressive disorder using the Patient Health Questionnaire (PHQ‐9): a meta‐analysis. Gen Hosp Psychiatry 2015;37(6):567–576. doi:10.1016/j.genhosppsych.2015.06.012
-
- Levis B, Benedetti A, Thombs BD; DEPRESsion Screening Data (DEPRESSD) Collaboration. Accuracy of Patient Health Questionnaire‐9 (PHQ‐9) for screening to detect major depression: individual participant data meta‐analysis. BMJ 2019;365:l1476. doi:10.1136/bmj.l1476
-
- Levis B, Bhandari PM, Neupane D, et al; Depression Screening Data (DEPRESSD) PHQ Group. Data‐driven cutoff selection for the Patient Health Questionnaire‐9 depression screening tool. JAMA Netw Open 2024;7(11):e2429630. doi:10.1001/jamanetworkopen.2024.29630
-
- American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 5th ed. American Psychiatric Publishing; 2013.
LinkOut - more resources
Full Text Sources
Miscellaneous
