Validation of the Multidimensional Fatigue Inventory with Coronary Artery Disease Patients

Julija Gecaite-Stonciene, Adomas Bunevicius, Julius Burkauskas, Julija Brozaitiene, Julius Neverauskas, Narseta Mickuviene and Nijole Kazukauskiene
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Julija Gecaite-Stonciene: Laboratory of Behavioral Medicine, Neuroscience Institute, Lithuanian University of Health Sciences, 2100 Palanga, Lithuania
Adomas Bunevicius: Laboratory of Behavioral Medicine, Neuroscience Institute, Lithuanian University of Health Sciences, 2100 Palanga, Lithuania
Julius Burkauskas: Laboratory of Behavioral Medicine, Neuroscience Institute, Lithuanian University of Health Sciences, 2100 Palanga, Lithuania
Julija Brozaitiene: Laboratory of Behavioral Medicine, Neuroscience Institute, Lithuanian University of Health Sciences, 2100 Palanga, Lithuania
Julius Neverauskas: Laboratory of Behavioral Medicine, Neuroscience Institute, Lithuanian University of Health Sciences, 2100 Palanga, Lithuania
Narseta Mickuviene: Laboratory of Behavioral Medicine, Neuroscience Institute, Lithuanian University of Health Sciences, 2100 Palanga, Lithuania
Nijole Kazukauskiene: Laboratory of Behavioral Medicine, Neuroscience Institute, Lithuanian University of Health Sciences, 2100 Palanga, Lithuania

IJERPH, 2020, vol. 17, issue 21, 1-17

Abstract: Background: Fatigue is a common distressing symptom in patients with coronary artery disease (CAD). The Multidimensional Fatigue Inventory (MFI) is used for measuring fatigue in various clinical settings. Nevertheless, its multidimensional structure has not been consistent across studies. Thus, we aimed to psychometrically evaluate the MFI in patients with CAD. Methods: In sum, 1162 CAD patients completed questionnaires assessing their subjective fatigue level (MFI-20), mental distress symptoms (HADS, STAI), and health-related quality of life (SF-36). Participants also completed exercise capacity (EC) testing. Results: Confirmatory factor analysis of the four-factor model, showed acceptable fit (CFI = 0.905; GFI = 0.895; NFI = 0.893, RMSEA = 0.077). After eliminating four items, confirmatory factor analysis testing showed improvement in the four-factor model of the MFI-16 (CFI = 0.910; GFI = 0.909; NFI = 0.898, RMSEA = 0.077). Internal consistency values were adequate for the total score and four MFI-16 subscales: General fatigue, physical fatigue, reduced activity, and mental fatigue with Cronbach’s α range: 0.60–0.82. The inadequate value (Cronbach’s α = 0.43) was received for the subscale of reduced motivation in both MFI-20 and MFI-16. Correlations between the MFI-16 and HADS, STAI, SF-36, and EC measures were statistically significant (all p ’s < 0.001). Conclusions: The Lithuanian version of the modified MFI of 16 items showed good factorial structure and satisfactory psychometric characteristics, except for reduced motivation subscale.

Keywords: coronary artery disease; mental exertion; physical performance; psychometric properties; multidimensional fatigue inventory; fatigue; reliability and validity; rehabilitation (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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