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Further validation of the Multidimensional Fatigue Inventory in a US adult population sample

BACKGROUND: The Multidimensional Fatigue Inventory (MFI-20) was developed in 1995. Since then, it has been widely used in cancer research and cancer-related illnesses but has never been validated in fatiguing illnesses or in a large US population-selected sample. In this study, we sought to examine...

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Autores principales: Lin, Jin-Mann S, Brimmer, Dana J, Maloney, Elizabeth M, Nyarko, Ernestina, BeLue, Rhonda, Reeves, William C
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2801470/
https://www.ncbi.nlm.nih.gov/pubmed/20003524
http://dx.doi.org/10.1186/1478-7954-7-18
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author Lin, Jin-Mann S
Brimmer, Dana J
Maloney, Elizabeth M
Nyarko, Ernestina
BeLue, Rhonda
Reeves, William C
author_facet Lin, Jin-Mann S
Brimmer, Dana J
Maloney, Elizabeth M
Nyarko, Ernestina
BeLue, Rhonda
Reeves, William C
author_sort Lin, Jin-Mann S
collection PubMed
description BACKGROUND: The Multidimensional Fatigue Inventory (MFI-20) was developed in 1995. Since then, it has been widely used in cancer research and cancer-related illnesses but has never been validated in fatiguing illnesses or in a large US population-selected sample. In this study, we sought to examine the reliability and validity of the MFI-20 in the population of the state of Georgia, USA. Further, we assessed whether the MFI-20 could serve as a complementary diagnostic tool in chronically fatigued and unwell populations. METHODS: The data derive from a cross-sectional population-based study investigating the prevalence of chronic fatigue syndrome (CFS) in Georgia. The study sample was comprised of three diagnostic groups: CFS-like (292), chronically unwell (269), and well (222). Participants completed the MFI-20 along with several other measures of psychosocial functioning, including the Medical Outcomes Survey Short Form-36 (SF-36), the Zung Self-Rating Depression Scale (SDS), and the Spielberger State-Trait Anxiety Inventory (STAI). We assessed the five MFI-20 subscales using several criteria: inter-item correlations, corrected item-total correlations, internal consistency reliability (Cronbach's alpha coefficients), construct validity, discriminant (known-group) validity, floor/ceiling effects, and convergent validity through correlations with the SF-36, SDS, and STAI instruments. RESULTS: Averaged inter-item correlations ranged from 0.38 to 0.61, indicating no item redundancy. Corrected item-total correlations for all MFI-20 subscales were greater than 0.30, and Cronbach's alpha coefficients achieved an acceptable level of 0.70. No significant floor/ceiling effect was observed. Factor analysis demonstrated factorial complexity. The MFI-20 also distinguished clearly between three diagnostic groups on all subscales. Furthermore, correlations with depression (SDS), anxiety (STAI), and functional impairment (SF-36) demonstrated strong convergent validity. CONCLUSIONS: This study provides support for the MFI-20 as a valuable tool when used in chronically unwell and well populations. It also suggests that the MFI-20 could serve as a complementary diagnostic tool in fatiguing illnesses, such as CFS.
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spelling pubmed-28014702010-01-05 Further validation of the Multidimensional Fatigue Inventory in a US adult population sample Lin, Jin-Mann S Brimmer, Dana J Maloney, Elizabeth M Nyarko, Ernestina BeLue, Rhonda Reeves, William C Popul Health Metr Research BACKGROUND: The Multidimensional Fatigue Inventory (MFI-20) was developed in 1995. Since then, it has been widely used in cancer research and cancer-related illnesses but has never been validated in fatiguing illnesses or in a large US population-selected sample. In this study, we sought to examine the reliability and validity of the MFI-20 in the population of the state of Georgia, USA. Further, we assessed whether the MFI-20 could serve as a complementary diagnostic tool in chronically fatigued and unwell populations. METHODS: The data derive from a cross-sectional population-based study investigating the prevalence of chronic fatigue syndrome (CFS) in Georgia. The study sample was comprised of three diagnostic groups: CFS-like (292), chronically unwell (269), and well (222). Participants completed the MFI-20 along with several other measures of psychosocial functioning, including the Medical Outcomes Survey Short Form-36 (SF-36), the Zung Self-Rating Depression Scale (SDS), and the Spielberger State-Trait Anxiety Inventory (STAI). We assessed the five MFI-20 subscales using several criteria: inter-item correlations, corrected item-total correlations, internal consistency reliability (Cronbach's alpha coefficients), construct validity, discriminant (known-group) validity, floor/ceiling effects, and convergent validity through correlations with the SF-36, SDS, and STAI instruments. RESULTS: Averaged inter-item correlations ranged from 0.38 to 0.61, indicating no item redundancy. Corrected item-total correlations for all MFI-20 subscales were greater than 0.30, and Cronbach's alpha coefficients achieved an acceptable level of 0.70. No significant floor/ceiling effect was observed. Factor analysis demonstrated factorial complexity. The MFI-20 also distinguished clearly between three diagnostic groups on all subscales. Furthermore, correlations with depression (SDS), anxiety (STAI), and functional impairment (SF-36) demonstrated strong convergent validity. CONCLUSIONS: This study provides support for the MFI-20 as a valuable tool when used in chronically unwell and well populations. It also suggests that the MFI-20 could serve as a complementary diagnostic tool in fatiguing illnesses, such as CFS. BioMed Central 2009-12-15 /pmc/articles/PMC2801470/ /pubmed/20003524 http://dx.doi.org/10.1186/1478-7954-7-18 Text en Copyright ©2009 Lin et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Lin, Jin-Mann S
Brimmer, Dana J
Maloney, Elizabeth M
Nyarko, Ernestina
BeLue, Rhonda
Reeves, William C
Further validation of the Multidimensional Fatigue Inventory in a US adult population sample
title Further validation of the Multidimensional Fatigue Inventory in a US adult population sample
title_full Further validation of the Multidimensional Fatigue Inventory in a US adult population sample
title_fullStr Further validation of the Multidimensional Fatigue Inventory in a US adult population sample
title_full_unstemmed Further validation of the Multidimensional Fatigue Inventory in a US adult population sample
title_short Further validation of the Multidimensional Fatigue Inventory in a US adult population sample
title_sort further validation of the multidimensional fatigue inventory in a us adult population sample
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2801470/
https://www.ncbi.nlm.nih.gov/pubmed/20003524
http://dx.doi.org/10.1186/1478-7954-7-18
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