Validation of the Multidimensional Fatigue Inventory with Coronary Artery Disease Patients

Julija Gecaite-Stonciene1, Adomas Bunevicius1, Julius Burkauskas1

  • 1Laboratory of Behavioral Medicine, Neuroscience Institute, Lithuanian University of Health Sciences, 2100 Palanga, Lithuania.

Insights

The Multidimensional Fatigue Inventory (MFI) was psychometrically evaluated in coronary artery disease (CAD) patients. A 16-item version (MFI-16) demonstrated good psychometric properties, except for the reduced motivation subscale.

Area of Science:

  • Cardiology
  • Psychometrics
  • Health Psychology

Background:

  • Fatigue is a prevalent and distressing symptom in patients with coronary artery disease (CAD).
  • The Multidimensional Fatigue Inventory (MFI) is a widely used tool for measuring fatigue.
  • Previous studies have reported inconsistencies in the multidimensional structure of the MFI.

Purpose of the Study:

  • To psychometrically evaluate the Lithuanian version of the Multidimensional Fatigue Inventory (MFI) in patients diagnosed with coronary artery disease (CAD).
  • To assess the factorial structure, internal consistency, and convergent validity of the MFI in a CAD patient population.

Main Methods:

  • 1162 patients with CAD completed the MFI-20, alongside measures for mental distress (HADS, STAI), quality of life (SF-36), and exercise capacity (EC).
  • Confirmatory factor analysis (CFA) was employed to test the MFI's factor structure.
  • Internal consistency was assessed using Cronbach's alpha, and correlations were examined to determine convergent validity.

Main Results:

  • The initial four-factor model of the MFI-20 showed acceptable fit, which improved after removing four items, resulting in the MFI-16.
  • The MFI-16 demonstrated adequate internal consistency for the total score and subscales (General fatigue, physical fatigue, reduced activity, mental fatigue), with Cronbach's alpha ranging from 0.60-0.82.
  • The reduced motivation subscale exhibited inadequate internal consistency (Cronbach's alpha = 0.43) in both MFI-20 and MFI-16. Statistically significant correlations were found between MFI-16 and other measures (all p < 0.001).

Conclusions:

  • The Lithuanian version of the MFI, modified to 16 items (MFI-16), exhibits a good factorial structure and satisfactory psychometric characteristics for assessing fatigue in CAD patients.
  • The reduced motivation subscale of the MFI-16 should be interpreted with caution due to its inadequate internal consistency.
  • The MFI-16 is a valid and reliable instrument for measuring multidimensional fatigue in Lithuanian CAD patients, supporting its use in clinical and research settings.
Abstract

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