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Validation of the Multidimensional Fatigue Inventory with Coronary Artery Disease Patients

Author

Listed:
  • 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)

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.

Suggested Citation

  • Julija Gecaite-Stonciene & Adomas Bunevicius & Julius Burkauskas & Julija Brozaitiene & Julius Neverauskas & Narseta Mickuviene & Nijole Kazukauskiene, 2020. "Validation of the Multidimensional Fatigue Inventory with Coronary Artery Disease Patients," IJERPH, MDPI, vol. 17(21), pages 1-17, October.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:21:p:8003-:d:437658
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    References listed on IDEAS

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    1. Suzhen Guan & Xiadiya Xiaerfuding & Li Ning & Yulong Lian & Yu Jiang & Jiwen Liu & Tzi Bun Ng, 2017. "Effect of Job Strain on Job Burnout, Mental Fatigue and Chronic Diseases among Civil Servants in the Xinjiang Uygur Autonomous Region of China," IJERPH, MDPI, vol. 14(8), pages 1-15, August.
    2. Hyerang Kim & Heesook Son, 2019. "Fatigue-Related Factors for Community-Dwelling Older Adults with Diabetes: A Theory-Guided Multi-Dimensional Approach Using the Dynamic Biopsychosocial Model," IJERPH, MDPI, vol. 16(22), pages 1-15, November.
    3. Antonio Mundo-López & Olga Ocón-Hernández & Ainhoa P. San-Sebastián & Noelia Galiano-Castillo & Olga Rodríguez-Pérez & María S. Arroyo-Luque & Manuel Arroyo-Morales & Irene Cantarero-Villanueva & Caro, 2020. "Contribution of Chronic Fatigue to Psychosocial Status and Quality of Life in Spanish Women Diagnosed with Endometriosis," IJERPH, MDPI, vol. 17(11), pages 1-15, May.
    4. Francisco Álvarez-Salvago & Ana Lara-Ramos & Irene Cantarero-Villanueva & Maryna Mazheika & Antonio Mundo-López & Noelia Galiano-Castillo & Carolina Fernández-Lao & Manuel Arroyo-Morales & Olga Ocón-H, 2020. "Chronic Fatigue, Physical Impairments and Quality of Life in Women with Endometriosis: A Case-Control Study," IJERPH, MDPI, vol. 17(10), pages 1-13, May.
    5. Sabina Asensio-Cuesta & Adrián Bresó & Carlos Saez & Juan M. García-Gómez, 2019. "Robustness and Findings of a Web-Based System for Depression Assessment in a University Work Context," IJERPH, MDPI, vol. 16(4), pages 1-17, February.
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    1. Jose M. León-Pérez & Mindy K. Shoss & Aristides I. Ferreira & Gabriele Giorgi, 2021. "Emerging Issues in Occupational Health Psychology," IJERPH, MDPI, vol. 18(21), pages 1-4, November.

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