Literature DB >> 25035160

Assessment of fatigue using the Multidimensional Fatigue Inventory in patients with major depressive disorder.

Ka-Fai Chung1, Branda Yee-Man Yu2, Kam-Ping Yung3, Wing-Fai Yeung4, Tommy H Ng5, Fiona Yan-Yee Ho6.   

Abstract

OBJECTIVES: There are problems with the fatigue measures currently used in depressed patients. The Multidimensional Fatigue Inventory (MFI-20) covering general fatigue, physical fatigue, mental fatigue, reduced activity and reduced motivation has been widely used in patients with cancer and chronic fatigue syndrome. To address the multidimensional nature of fatigue, we examined the validity and reliability of a Chinese version of the MFI-20 in major depressive disorder (MDD).
METHODS: Data were derived from a randomized controlled trial of acupuncture in 137 patients with partially remitted MDD. The test-retest reliability, internal consistency, construct and concurrent validity and sensitivity to change of the MFI-20 were analyzed.
RESULTS: The MFI-20 was found to have good internal consistency (Cronbach's alpha=0.89) and 1-week test-retest reliability (Pearson correlation of the total score=0.73). Factor analysis showed 5 factors, but the factor structure was different from that in medical conditions. The 2 most prominent factors, explaining 46% of the total variance, were both associated with physical and mental energy but different in directions. There were adequate concurrent validity and sensitivity to change as evidenced by the significant correlations between the MFI-20 scores and depressive and anxiety symptoms, general health and quality of life.
CONCLUSION: The Chinese MFI-20 is a valid and reliable instrument for the assessment of fatigue in MDD patients with residual symptoms. The construct of fatigue in MDD seems to be different from that in medical conditions. Further studies are needed to examine the MFI-20 in MDD patients from other cultures.
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25035160     DOI: 10.1016/j.comppsych.2014.06.006

Source DB:  PubMed          Journal:  Compr Psychiatry        ISSN: 0010-440X            Impact factor:   3.735


  10 in total

1.  Selective serotonin reuptake inhibitor combined with dengzhanshengmai capsule improves the fatigue symptoms: a 12-week open-label pilot study.

Authors:  De-Qiang Li; Zhong-Chun Li; Zhi-Yuan Dai
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2.  The Qigong of Prolong Life With Nine Turn Method Relieve Fatigue, Sleep, Anxiety and Depression in Patients With Chronic Fatigue Syndrome: A Randomized Controlled Clinical Study.

Authors:  Fangfang Xie; Yanli You; Chong Guan; Jiatuo Xu; Fei Yao
Journal:  Front Med (Lausanne)       Date:  2022-06-30

Review 3.  Fatigue in Patients with Major Depressive Disorder: Prevalence, Burden and Pharmacological Approaches to Management.

Authors:  Helia Ghanean; Amanda K Ceniti; Sidney H Kennedy
Journal:  CNS Drugs       Date:  2018-01       Impact factor: 5.749

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Journal:  Int J Environ Res Public Health       Date:  2020-04-07       Impact factor: 3.390

Review 5.  Mental Load and Fatigue Assessment Instruments: A Systematic Review.

Authors:  Jesús Díaz-García; Inmaculada González-Ponce; José Carlos Ponce-Bordón; Miguel Ángel López-Gajardo; Iván Ramírez-Bravo; Ana Rubio-Morales; Tomás García-Calvo
Journal:  Int J Environ Res Public Health       Date:  2021-12-31       Impact factor: 3.390

6.  Effects of the Prolong Life With Nine Turn Method (Yan Nian Jiu Zhuan) Qigong on Brain Functional Changes in Patients With Chronic Fatigue Syndrome in Terms of Fatigue and Quality of Life.

Authors:  Fangfang Xie; Chong Guan; Yuanjia Gu; Yanli You; Fei Yao
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7.  The influence of rest break frequency and duration on physical performance and psychophysiological responses: a mining simulation study.

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Authors:  Yan Liu; Ji Shu Xian; Rui Wang; Kang Ma; Fei Li; Fei Long Wang; Xue Yang; Ning Mu; Kai Xu; Yu Lian Quan; Shi Wang; Ying Lai; Chuan Yan Yang; Teng Li; Yanchun Zhang; Binbin Tan; Hua Feng; Tu Nan Chen; Li Hua Wang
Journal:  Front Psychiatry       Date:  2022-08-25       Impact factor: 5.435

9.  Validity and reliability of the Traditional Chinese version of the Multidimensional Fatigue Inventory in general population.

Authors:  Li-Ling Chuang; Yu-Fen Chuang; Miao-Ju Hsu; Ying-Zu Huang; Alice M K Wong; Ya-Ju Chang
Journal:  PLoS One       Date:  2018-05-10       Impact factor: 3.240

10.  Validation of the Multidimensional Fatigue Inventory with Coronary Artery Disease Patients.

Authors:  Julija Gecaite-Stonciene; Adomas Bunevicius; Julius Burkauskas; Julija Brozaitiene; Julius Neverauskas; Narseta Mickuviene; Nijole Kazukauskiene
Journal:  Int J Environ Res Public Health       Date:  2020-10-30       Impact factor: 3.390

  10 in total

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