The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Application of the multidimensional fatigue inventory (MFI-20) in cancer patients receiving radiotherapy
Open accessAbstract
In this paper the psychometric properties of the multidimensional fatigue inventory (MFI-20) are established further in cancer patients. The MFI is a 20-item self-report instrument designed to measure fatigue. It covers the following dimensions: general fatigue, physical fatigue, reduced activity, reduced motivation and mental fatigue. The instrument was used in a Dutch and Scottish sample of cancer patients receiving radiotherapy. The dimensional structure was assessed using confirmatory factor analyses (Lisrel's unweighted least-squares method). The hypothesised five-factor model appeared to fit the data in both samples (adjusted goodness of fit; AGFI: 0.97 and 0.98). Internal consistency of the separate scales was good in both the Dutch and Scottish samples with Cronbach's alpha coefficients ranging from 0.79 to 0.93. Construct validity was assessed by correlating the MFI-20 to activities of daily living, anxiety and depression. Significant relations were assumed. Convergent validity was investigated by correlating the MFI scales with a visual analogue scale measuring fatigue and with a fatigue-scale derived from the Rotterdam Symptom Checklist. Results support the validity of the MFI-20. The highly similar results in the Dutch and Scottish sample suggest that the portrayal of fatigue using the MFI-20 is quite robust.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Hospital Anxiety and Depression Scale
Zigmond, A. S., & Snaith, R. P. (1983) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.1983.tb09716.x · Cited by 47,139
Depression and quality of life in older persons: A review
Sivertsen, H., Bjørkløf, G. H., Engedal, K., Selbæk, G., & Helvik, A.-S. (2015) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000437299 · Cited by 14,152
Smets, E., Garssen, B., Schuster-Uitterhoeve, A., & de Haes, J. (1993) · British Journal of Cancer · doi:10.1038/bjc.1993.319 · Cited by 346
Self-citation
Cited by
Ineffectiveness of Reverse Wording of Questionnaire Items: Let’s Learn from Cows in the Rain
Sonderen, E. V., Sanderman, R., & Coyne, J. C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068967 · Cited by 544
Stone, P., Richardson, A., Ream, E., Smith, A. G., Kerr, D. J., & Kearney, N. (2000) · Annals of Oncology · doi:10.1023/a:1008318932641 · Cited by 438
Fatigue, depression and quality of life in cancer patients: how are they related?
Visser, M. R. M., & Smets, E. M. A. (1998) · Supportive Care in Cancer · doi:10.1007/s005200050142 · Cited by 348
Self-citationPrevalence of Fatigue in Patients With Cancer: A Systematic Review and Meta-Analysis
Al Maqbali, M., Al Sinani, M., Al Naamani, Z., Al Badi, K., & Tanash, M. I. (2021) · Journal of Pain and Symptom Management · doi:10.1016/j.jpainsymman.2020.07.037 · Cited by 288
Romberg-Camps, M. J. L., Bol, Y., Dagnelie, P. C., Hesselink-van de Kruijs, M. A. M., Kester, A. D. M., Engels, L. G. J. B., van Deursen, C., Hameeteman, W. H. A., Pierik, M., Wolters, F., et al. (2010) · Inflammatory Bowel Diseases · doi:10.1002/ibd.21285 · Cited by 240
Metadata
- Authors
- Smets, E., Garssen, B., Cull, A., & de Haes, J.
- Venue
- British Journal of Cancer
- Published
- 1996-01
- Volume
- 73
- Issue
- 2
- Pages
- 241-245
- ISSN
- 0007-0920 (ISSN-L)
- 1532-1827
- OpenAlex
- W1995358795
- Cited by
- 456
- References
- 3
- FWCI
- 4.39
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.