Literature DB >> 34996018

Longitudinal assessment of depression during the first year after stroke: Dimensionality and measurement invariance.

Liming Dong1, Linda S Williams2, Emily Briceno3, Lewis B Morgenstern4, Lynda D Lisabeth5.   

Abstract

OBJECTIVE: Repeated 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).
METHODS: Data 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.
RESULTS: Mean 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.
CONCLUSIONS: The 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.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Depression; Patient outcome assessment; Psychometrics; Stroke

Mesh:

Year:  2021        PMID: 34996018      PMCID: PMC9085722          DOI: 10.1016/j.jpsychores.2021.110689

Source DB:  PubMed          Journal:  J Psychosom Res        ISSN: 0022-3999            Impact factor:   4.620


  28 in total

Review 1.  Screening for mood disorders after stroke: a systematic review of psychometric properties and clinical utility.

Authors:  L-J Burton; S Tyson
Journal:  Psychol Med       Date:  2014-02-27       Impact factor: 7.723

2.  Factor structure and longitudinal measurement invariance of PHQ-9 for specialist mental health care patients with persistent major depressive disorder: Exploratory Structural Equation Modelling.

Authors:  Boliang Guo; Catherine Kaylor-Hughes; Anne Garland; Neil Nixon; Tim Sweeney; Sandra Simpson; Tim Dalgleish; Rajini Ramana; Min Yang; Richard Morriss
Journal:  J Affect Disord       Date:  2017-05-08       Impact factor: 4.839

3.  Trajectories of health-related quality of life after stroke: results from a one-year prospective cohort study.

Authors:  Maria van Mierlo; Caroline van Heugten; Marcel W M Post; Trynke Hoekstra; Anne Visser-Meily
Journal:  Disabil Rehabil       Date:  2017-03-13       Impact factor: 3.033

4.  Interrater reliability of the NIH stroke scale.

Authors:  L B Goldstein; C Bertels; J N Davis
Journal:  Arch Neurol       Date:  1989-06

5.  Depression predictors within six months of ischemic stroke: The DEPRESS Study.

Authors:  Vincent Guiraud; Thierry Gallarda; David Calvet; Guillaume Turc; Catherine Oppenheim; Frédéric Rouillon; Jean-Louis Mas
Journal:  Int J Stroke       Date:  2016-02-12       Impact factor: 5.266

6.  Assessment of the Progression of Poststroke Depression in Ischemic Stroke Patients Using the Patient Health Questionnaire-9.

Authors:  Lauren E Fournier; Jennifer E Sanner Beauchamp; Xu Zhang; Esther Bonojo; Mary Love; Gabretta Cooksey; Evelyn Hinojosa; Munachi N Okpala; Sean I Savitz; Anjail Z Sharrief
Journal:  J Stroke Cerebrovasc Dis       Date:  2020-01-13       Impact factor: 2.136

7.  Testing measurement invariance in longitudinal data with ordered-categorical measures.

Authors:  Yu Liu; Roger E Millsap; Stephen G West; Jenn-Yun Tein; Rika Tanaka; Kevin J Grimm
Journal:  Psychol Methods       Date:  2016-05-23

Review 8.  Neuropsychiatric outcomes of stroke.

Authors:  Maree L Hackett; Sebastian Köhler; John T O'Brien; Gillian E Mead
Journal:  Lancet Neurol       Date:  2014-03-28       Impact factor: 44.182

9.  Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis.

Authors:  Yin Wu; Brooke Levis; Kira E Riehm; Nazanin Saadat; Alexander W Levis; Marleine Azar; Danielle B Rice; Jill Boruff; Pim Cuijpers; Simon Gilbody; John P A Ioannidis; Lorie A Kloda; Dean McMillan; Scott B Patten; Ian Shrier; Roy C Ziegelstein; Dickens H Akena; Bruce Arroll; Liat Ayalon; Hamid R Baradaran; Murray Baron; Charles H Bombardier; Peter Butterworth; Gregory Carter; Marcos H Chagas; Juliana C N Chan; Rushina Cholera; Yeates Conwell; Janneke M de Man-van Ginkel; Jesse R Fann; Felix H Fischer; Daniel Fung; Bizu Gelaye; Felicity Goodyear-Smith; Catherine G Greeno; Brian J Hall; Patricia A Harrison; Martin Härter; Ulrich Hegerl; Leanne Hides; Stevan E Hobfoll; Marie Hudson; Thomas Hyphantis; Masatoshi Inagaki; Nathalie Jetté; Mohammad E Khamseh; Kim M Kiely; Yunxin Kwan; Femke Lamers; Shen-Ing Liu; Manote Lotrakul; Sonia R Loureiro; Bernd Löwe; Anthony McGuire; Sherina Mohd-Sidik; Tiago N Munhoz; Kumiko Muramatsu; Flávia L Osório; Vikram Patel; Brian W Pence; Philippe Persoons; Angelo Picardi; Katrin Reuter; Alasdair G Rooney; Iná S Santos; Juwita Shaaban; Abbey Sidebottom; Adam Simning; Lesley Stafford; Sharon Sung; Pei Lin Lynnette Tan; Alyna Turner; Henk C van Weert; Jennifer White; Mary A Whooley; Kirsty Winkley; Mitsuhiko Yamada; Andrea Benedetti; Brett D Thombs
Journal:  Psychol Med       Date:  2019-07-12       Impact factor: 10.592

10.  Assessment of depression severity with the PHQ-9 in cancer patients and in the general population.

Authors:  Andreas Hinz; Anja Mehnert; Rüya-Daniela Kocalevent; Elmar Brähler; Thomas Forkmann; Susanne Singer; Thomas Schulte
Journal:  BMC Psychiatry       Date:  2016-02-02       Impact factor: 3.630

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