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Clinical Practice: Original Paper

Measuring Fatigue Using the Multidimensional Fatigue Inventory-20: A Questionable Factor Structure in Haemodialysis Patients

Chilcot J.a · Guirguis A.b, c · Friedli K.c · Almond M.d · Davenport A.e · Day C.f · Wellsted D.c · Farrington K.b, g

Author affiliations

aInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, bPostgraduate Medical School, and cCentre for Lifespan and Chronic Illness Research, University of Hertfordshire, Cambridge, dSouthend University Hospital NHS Foundation Trust, Southend, eUCL Centre for Nephrology, Royal Free Hospital NHS Foundation Trust, London, fDepartment of Renal Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, and gLister Hospital, East and North Hertfordshire NHS Trust, Stevenage, UK

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Nephron 2017;136:121-126

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Article / Publication Details

First-Page Preview
Abstract of Clinical Practice: Original Paper

Received: December 14, 2016
Accepted: February 02, 2017
Published online: February 28, 2017
Issue release date: June 2017

Number of Print Pages: 6
Number of Figures: 1
Number of Tables: 2

ISSN: 1660-8151 (Print)
eISSN: 2235-3186 (Online)

For additional information: http://www.karger.com/NEF

Abstract

Background/Aims: Fatigue is recognised as a common and burdensome symptom among dialysis patients. A growing body of research is devoted to understanding fatigue in advanced kidney disease, yet its measurement is challenging within this context. Our aim was to evaluate the factor structure underlying the multidimensional fatigue inventory (MFI-20) and to examine its associations with clinical factors and mood. Methods: Data was evaluated for confirmatory factor analysis (CFA) from the screening phase of a multicentre randomised placebo-controlled trial of sertraline in haemodialysis (HD) patients. Four hundred seventy patients completed the MFI-20, which purports to measure 5 components of fatigue (general fatigue, mental fatigue, physical fatigue, reduced motivation and reduced activity). CFA models were evaluated in MPlus 7.3 using the robust maximum likelihood (MLR) estimation. Results: The evaluation of the original 5 factors revealed low internal reliability for the general factor and reduced activity, and high intercorrelations between all sum scores. CFA revealed poor model fit for the original 5-factor MFI-20 model (confirmatory fit index = 0.738; Tucker-Lewis index = 0.689; root mean squared error of approximation = 0.101). Alternative models, including 1, 3 and bi-factor models all demonstrated poor fit to the data. No reliable factor model was confirmed prohibiting the examination of factors associated with fatigue. Conclusions: We were not able to confirm the factor structure of the MFI-20 in a large sample of HD patients. Certain items may lack suitable face validity in this context.

© 2017 S. Karger AG, Basel


Article / Publication Details

First-Page Preview
Abstract of Clinical Practice: Original Paper

Received: December 14, 2016
Accepted: February 02, 2017
Published online: February 28, 2017
Issue release date: June 2017

Number of Print Pages: 6
Number of Figures: 1
Number of Tables: 2

ISSN: 1660-8151 (Print)
eISSN: 2235-3186 (Online)

For additional information: http://www.karger.com/NEF


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