ArticleJournal of psychosomatic research2022
Longitudinal assessment of depression during the first year after stroke: Dimensionality and measurement invariance.
Article in Journal of psychosomatic research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Comparing the Symptomatology of Post-stroke Depression with Depression in the General Population: A Systematic Review.Neuropsychology review · 2024Pooled it
- Longitudinal invariance of the Patient Health Questionnaire-9 among patients receiving pharmacotherapy for major depressive disorder: A secondary analysis of clinical trial data.Psychological assessment · 2024Trial
- Return to Work and Psychosocial Adaptation Trajectories in Young and Middle-Aged Patients with Stroke: A 12-Month Longitudinal Cohort Study.Journal of occupational rehabilitation · 2026Article
- Real-World Smartphone Data Predicts Mood After Ischemic Stroke and Transient Ischemic Attack Symptoms and May Constitute Digital Endpoints: A Proof-of-Concept Study.Mayo Clinic proceedings. Digital health · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
objectiveRepeated measurement of depression using summative scores of commonly used depression scales assumes that the construct is unidimensional and invariant across time, but little is known about the validity of these assumptions in stroke patients. The study examined the assumptions during the first year after mild to moderate stroke using the 8-item Patient Health Questionnaire (PHQ-8).
methodsData were obtained from the 2014-2016 Brain Attack Surveillance in Corpus Christi project, a population-based stroke surveillance study with longitudinal follow-up in Texas, United States. Depressive symptoms were assessed with the PHQ-8 at 3, 6, and 12 months post-stroke (n = 648, 542, 533, respectively). Dimensionality of the PHQ-8 was examined using exploratory bifactor analysis and confirmatory factor analysis (CFA). Based on a one-factor CFA model, longitudinal measurement invariance was examined by fitting configural, weak, strong and strict invariance models sequentially.
resultsMean age was 65.6 (SD = 11.2), half were women, and 56.7% were Mexican American. Reliability measures suggested a generally unidimensional construct (Omega Hierarchical: 0.79-0.86), good internal consistency (Cronbach's alpha: 0.84-0.88) and good temporal stability (intraclass correlation coefficient: 0.838). Configural invariance for equality of item-factor structure (RMSEA = 0.038, CFI = 0.982, WRMR = 0.970) was supported. Partial weak invariance for equality of factor loadings (p = 0.11) was supported by chi-square difference tests, whereas full longitudinal invariance was supported by changes in comparative fit index and root mean square error of approximation.
conclusionsThe findings suggest the PHQ-8 may be a reasonable tool for repeated measurement of depression in stroke patients, and more research on its longitudinal psychometric properties is needed.
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