Literature DB >> 28241133

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

Joseph Chilcot1, Ayman Guirguis, Karin Friedli, Michael Almond, Andrew Davenport, Clara Day, David Wellsted, Ken Farrington.   

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.

Entities:  

Keywords:  Confirmatory factor analysis; Fatigue; Haemodialysis; Kidney disease; Multidimensional Fatigue Inventory; Multidimensional Fatigue Inventory-20

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Substances:

Year:  2017        PMID: 28241133     DOI: 10.1159/000458770

Source DB:  PubMed          Journal:  Nephron        ISSN: 1660-8151            Impact factor:   2.847


  3 in total

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Authors:  Gloria-Beatrice Wintermann; Jenny Rosendahl; Kerstin Weidner; Bernhard Strauß; Andreas Hinz; Katja Petrowski
Journal:  Health Qual Life Outcomes       Date:  2018-02-20       Impact factor: 3.186

2.  Diaphragmatic dysfunction associates with dyspnoea, fatigue, and hiccup in haemodialysis patients: a cross-sectional study.

Authors:  Bin Wang; Qing Yin; Ying-Yan Wang; Yan Tu; Yuchen Han; Min Gao; Mingming Pan; Yan Yang; Yufang Xue; Li Zhang; Liuping Zhang; Hong Liu; Rining Tang; Xiaoliang Zhang; Jingjie Xiao; Xiaonan H Wang; Bi-Cheng Liu
Journal:  Sci Rep       Date:  2019-12-18       Impact factor: 4.379

3.  Fatigue in cancer patients: comparison with the general population and prognostic factors.

Authors:  Andreas Hinz; Joachim Weis; Elmar Brähler; Martin Härter; Kristina Geue; Jochen Ernst
Journal:  Support Care Cancer       Date:  2020-01-17       Impact factor: 3.603

  3 in total

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