INTRODUCTION: The Multidimensional Fatigue Inventory (MFI) is commonly used in patients with Parkinson's disease (PD). However, most measurement properties have not been investigated in this population. The aim of this study was to investigate internal consistency, test-retest reliability, measurement error, structural validity, and floor and ceiling effects of the MFI in PD. METHODS:Patients with PD (N = 153) completed the MFI at baseline and week 3 in a randomized clinical trial. Cronbach's α, intraclass correlation coefficient (ICC), and the smallest detectable change (SDC) were calculated. Bland and Altman analysis was performed. Principal Component Analysis (PCA) was used to explore structural validity. Floor and ceiling effects were investigated. RESULTS: Cronbach's α for the MFI-total and subscales ranged from 0.74 (reduced motivation (RM)) to 0.92 (MFI-total). ICC's ranged from 0.65 (mental fatigue (MF) to 0.81 (physical fatigue (PF)), SDC ranged from 4 points (PF and RM) to 15 points (MFI-total). Bland and Altman analysis showed no systematic differences between assessments. A floor effect was found for MF and ceiling effects for PF and reduced activity (RA). A four-factor model was extracted, combining general fatigue (GF) and PF as one factor. CONCLUSIONS: The MFI is reliable and valid to assess fatigue in patients with PD. Clinicians and researchers interested in assessing specific aspects of fatigue should consider interpreting GF and PF as one subscale measuring physical aspects of fatigue. To establish whether the MFI can detect meaningful changes, studies on anchor-based responsiveness and the minimal important change are needed in PD.
RCT Entities:
INTRODUCTION: The Multidimensional Fatigue Inventory (MFI) is commonly used in patients with Parkinson's disease (PD). However, most measurement properties have not been investigated in this population. The aim of this study was to investigate internal consistency, test-retest reliability, measurement error, structural validity, and floor and ceiling effects of the MFI in PD. METHODS:Patients with PD (N = 153) completed the MFI at baseline and week 3 in a randomized clinical trial. Cronbach's α, intraclass correlation coefficient (ICC), and the smallest detectable change (SDC) were calculated. Bland and Altman analysis was performed. Principal Component Analysis (PCA) was used to explore structural validity. Floor and ceiling effects were investigated. RESULTS: Cronbach's α for the MFI-total and subscales ranged from 0.74 (reduced motivation (RM)) to 0.92 (MFI-total). ICC's ranged from 0.65 (mental fatigue (MF) to 0.81 (physical fatigue (PF)), SDC ranged from 4 points (PF and RM) to 15 points (MFI-total). Bland and Altman analysis showed no systematic differences between assessments. A floor effect was found for MF and ceiling effects for PF and reduced activity (RA). A four-factor model was extracted, combining general fatigue (GF) and PF as one factor. CONCLUSIONS: The MFI is reliable and valid to assess fatigue in patients with PD. Clinicians and researchers interested in assessing specific aspects of fatigue should consider interpreting GF and PF as one subscale measuring physical aspects of fatigue. To establish whether the MFI can detect meaningful changes, studies on anchor-based responsiveness and the minimal important change are needed in PD.
Authors: Matej Skorvanek; Iveta Nagyova; Jaroslav Rosenberger; Martina Krokavcova; Radka Ghorbani Saeedian; Johan W Groothoff; Zuzana Gdovinova; Jitse P van Dijk Journal: J Neurol Date: 2013-01-09 Impact factor: 4.849
Authors: Kyle W Murdock; Xin Shelley Wang; Qiuling Shi; Charles S Cleeland; Christopher P Fagundes; Suzanne D Vernon Journal: Qual Life Res Date: 2016-09-06 Impact factor: 4.147
Authors: Pieter Ginis; Elke Heremans; Alberto Ferrari; Kim Dockx; Colleen G Canning; Alice Nieuwboer Journal: Front Neurol Date: 2017-04-06 Impact factor: 4.003
Authors: Keng H Kong; Hwee L Ng; Wei Li; Dora W Ng; Siang I Tan; Kay Y Tay; Wing L Au; Louis C S Tan Journal: Brain Behav Date: 2017-12-29 Impact factor: 2.708
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
Authors: Kathleen Kerr; Gayle Morse; Donald Graves; Fei Zuo; Alain Lipowicz; David O Carpenter Journal: Int J Environ Res Public Health Date: 2019-10-28 Impact factor: 3.390