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Published in: Supportive Care in Cancer 8/2013

01-08-2013 | Original Article

Application of the Chinese version of the MFI-20 in detecting the severe fatigue in cancer patients

Authors: Jun Tian, Jin-Sheng Hong

Published in: Supportive Care in Cancer | Issue 8/2013

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Abstract

Purpose

This study aimed to apply the Multidimensional Fatigue Inventory Scale (MFI-20) for detecting severe fatigue in cancer patients, estimating the prevalence rates of severe fatigue in patients with various tumors and those receiving various treatments, as well as assessing the risk factors for severe fatigue in cancer patients after treatment.

Methods

This study was divided into two stages. In the first stage, we randomly selected 353 residents and obtained their scores in the Chinese version of MFI-20. We then calculated the 95th percentile of their MFI-20 score. In the second stage, we selected 715 hospital cancer patients diagnosed from 2010 to 2011 and obtained their data on fatigue, resilience, and quality of life. The 95th percentile of the MFI-20 score in the residents was deemed as the cutoff score for detecting patients with severe fatigue. The χ 2 test was used to detect the differences among the prevalence rates of severe fatigue, and multivariate logistic regression was used to detect the predictors of severe fatigue after treatment.

Results

The 95th percentile of the MFI-20 score in the residents was 60. The difference between the quality of life of patients with MFI-20 score ≤60 and patients with MFI-20 score >60 was statistically significant (92.33 ± 12.86 and 75.03 ± 15.85, t = 10.44, P < 0.0001). The prevalence of severe fatigue in cancer patients after treatment was 18.88 % (95 % confidence interval, 16.01–21.75 %). The prevalence rates of severe fatigue among patients with various tumors were significantly different (χ 2 = 17.59, P = 0.007), and the prevalence rates of severe fatigue among patients receiving various treatments were different (χ 2 = 8.25, P = 0.04). Patients with nasopharyngeal cancer were at the highest risk for severe fatigue (RR = 3.22), followed by patients with lung cancer and digestive tract cancer (RR = 2.41). Apart from the tumor site, old age (P = 0.01), advanced disease stage (P < 0.01), low resilience (P < 0.01), and radiotherapy (P = 0.03) were risk factors for severe fatigue after treatment.

Conclusion

The cutoff score of 60 is suitable for determining severe fatigue in the Chinese-version MFI-20. The prevalence of severe fatigue in cancer patients after treatment is moderate. Patients receiving radiotherapy are more likely to suffer from severe fatigue than those not receiving radiotherapy. The prevalence of severe fatigue in patients with nasopharynx, lung, and digestive tract cancers is higher than that in patients with other tumors. Patients with advanced disease stage, old age, and low resilience are at high risk for severe fatigue after treatment.
Literature
2.
go back to reference Strauss B, Brix C, Fischer S et al (2007) The influence of resilience on fatigue in cancer patients undergoing radiation therapy. J Cancer Res Clin Oncol 133:511–518PubMedCrossRef Strauss B, Brix C, Fischer S et al (2007) The influence of resilience on fatigue in cancer patients undergoing radiation therapy. J Cancer Res Clin Oncol 133:511–518PubMedCrossRef
3.
go back to reference Bower JE, Ganz PA, Desmond KA et al (2000) Fatigue in breast cancer survivors: occurrence, correlates, and impact on quality of life. J Clin Oncol 18(4):743–753PubMed Bower JE, Ganz PA, Desmond KA et al (2000) Fatigue in breast cancer survivors: occurrence, correlates, and impact on quality of life. J Clin Oncol 18(4):743–753PubMed
4.
go back to reference Diane M, Von AH, Kang D-H et al (2008) Predictors of cancer-related fatigue in women with breast cancer before, during, and after adjuvant therapy. Cancer Nurs 31(2):134–144CrossRef Diane M, Von AH, Kang D-H et al (2008) Predictors of cancer-related fatigue in women with breast cancer before, during, and after adjuvant therapy. Cancer Nurs 31(2):134–144CrossRef
5.
go back to reference Lawrence DP, Kupelnick B, Miller K et al (2004) Evidence report on the occurrence, assessment, and treatment of fatigue in cancer patients. J Natl Cancer Inst Monogr 40–50 Lawrence DP, Kupelnick B, Miller K et al (2004) Evidence report on the occurrence, assessment, and treatment of fatigue in cancer patients. J Natl Cancer Inst Monogr 40–50
6.
go back to reference Curt GA, Breitbart W, Cella D et al (2000) Impact of cancer-related fatigue on the lives of patients: new findings from the fatigue coalition. Oncologist 5:353–360PubMedCrossRef Curt GA, Breitbart W, Cella D et al (2000) Impact of cancer-related fatigue on the lives of patients: new findings from the fatigue coalition. Oncologist 5:353–360PubMedCrossRef
7.
go back to reference Borthwick D, Knowles G, McNamara S et al (2003) Assessing fatigue and self-care strategies in patients receiving radiotherapy for nonsmall cell lung cancer. Eur J Oncol Nurs 7(4):231–241PubMedCrossRef Borthwick D, Knowles G, McNamara S et al (2003) Assessing fatigue and self-care strategies in patients receiving radiotherapy for nonsmall cell lung cancer. Eur J Oncol Nurs 7(4):231–241PubMedCrossRef
8.
go back to reference Goedendorp MM, Gielissen MFM, Vergagen CAH, Peters MEJW, Bleijenberg G (2008) Severe fatigue and related factors in cancer patients before the initiation of treatment. Br J Cancer 99:1408–1414PubMedCrossRef Goedendorp MM, Gielissen MFM, Vergagen CAH, Peters MEJW, Bleijenberg G (2008) Severe fatigue and related factors in cancer patients before the initiation of treatment. Br J Cancer 99:1408–1414PubMedCrossRef
9.
go back to reference Stone P, Richards M, A’Hern R, Hardy J (2000) A study to investigate the prevalence, severity and correlates of fatigue among patients with cancer in comparison with a control group of volunteers without cancer. Ann Oncol 11:561–567PubMedCrossRef Stone P, Richards M, A’Hern R, Hardy J (2000) A study to investigate the prevalence, severity and correlates of fatigue among patients with cancer in comparison with a control group of volunteers without cancer. Ann Oncol 11:561–567PubMedCrossRef
10.
go back to reference Winningham ML, Nail LM, Burke MB et al (1994) Fatigue and the cancer experience: the state of the knowledge. Oncol Nurs Forum 21(1):23–36PubMed Winningham ML, Nail LM, Burke MB et al (1994) Fatigue and the cancer experience: the state of the knowledge. Oncol Nurs Forum 21(1):23–36PubMed
11.
go back to reference Haghighat S, Akbari ME, Holakouei K et al (2003) Factors predicting fatigue in breast cancer patients. Support Care Cancer 11(8):533–538PubMedCrossRef Haghighat S, Akbari ME, Holakouei K et al (2003) Factors predicting fatigue in breast cancer patients. Support Care Cancer 11(8):533–538PubMedCrossRef
12.
go back to reference Romito F, Montanaro R, Corvasce C et al (2008) Is cancer-related fatigue more strongly correlated to haematological or to psychological factors in cancer patients? Support Care Cancer 16(8):943–946PubMedCrossRef Romito F, Montanaro R, Corvasce C et al (2008) Is cancer-related fatigue more strongly correlated to haematological or to psychological factors in cancer patients? Support Care Cancer 16(8):943–946PubMedCrossRef
13.
go back to reference Curt GGA, Ga BW et al (2000) Impact of cancer related fatigue on the lives of patients: new findings from the fatigue coalition. Oncologist 353–360 Curt GGA, Ga BW et al (2000) Impact of cancer related fatigue on the lives of patients: new findings from the fatigue coalition. Oncologist 353–360
14.
go back to reference Mock V, Abernethy A, Atkinson A, Barsevick A, Berger AM, Cella D et al (2000) NCCN practice guidelines for cancer-related fatigue. Oncology 14:151–161 Mock V, Abernethy A, Atkinson A, Barsevick A, Berger AM, Cella D et al (2000) NCCN practice guidelines for cancer-related fatigue. Oncology 14:151–161
15.
go back to reference Azadeh S, Bijan MD, Hamid RT, Bahram Z (2009) Cancer related fatigue: a focus on breast cancer patients under chemotherapy. Open Breast Cancer J 1:14–17CrossRef Azadeh S, Bijan MD, Hamid RT, Bahram Z (2009) Cancer related fatigue: a focus on breast cancer patients under chemotherapy. Open Breast Cancer J 1:14–17CrossRef
16.
go back to reference Ryan JL, Carroll JK, Ryan EP, Mustian KM, Fiscella K, Morrow GR (2007) Mechanisms of cancer-related fatigue. Oncologist 12(Suppl 1):22–34PubMedCrossRef Ryan JL, Carroll JK, Ryan EP, Mustian KM, Fiscella K, Morrow GR (2007) Mechanisms of cancer-related fatigue. Oncologist 12(Suppl 1):22–34PubMedCrossRef
17.
18.
go back to reference Pearman T (2003) Quality of life and psychosocial adjustment in gynecologic cancer survivors. Health Qual Life Outcomes 1:33PubMedCrossRef Pearman T (2003) Quality of life and psychosocial adjustment in gynecologic cancer survivors. Health Qual Life Outcomes 1:33PubMedCrossRef
19.
go back to reference Wenzel LB, Donnelly JP, Fowler JM et al (2002) Resilience, reflection, and residual stress in ovarian cancer survivorship: a gynecologic oncology group study. Psycho-Oncology 11:142–153PubMedCrossRef Wenzel LB, Donnelly JP, Fowler JM et al (2002) Resilience, reflection, and residual stress in ovarian cancer survivorship: a gynecologic oncology group study. Psycho-Oncology 11:142–153PubMedCrossRef
20.
go back to reference Wallace ML, Harcourt D, Rumsey N, Foot A (2007) Managing appearance changes resulting from cancer treatment: resilience in adolescent females. Psycho-Oncology 16:1019–1027PubMedCrossRef Wallace ML, Harcourt D, Rumsey N, Foot A (2007) Managing appearance changes resulting from cancer treatment: resilience in adolescent females. Psycho-Oncology 16:1019–1027PubMedCrossRef
21.
go back to reference Chang YJ, Lee JS, Lee CG et al (2007) Assessment of clinical relevant fatigue level in cancer. Support Care Cancer 15(7):891–896PubMedCrossRef Chang YJ, Lee JS, Lee CG et al (2007) Assessment of clinical relevant fatigue level in cancer. Support Care Cancer 15(7):891–896PubMedCrossRef
22.
go back to reference Piper BF, Lindsey AM, Dodd MJ (1987) Fatigue mechanism in cancer patients: developing nursing theory. Oncol Nurs Forum 14:17–23PubMed Piper BF, Lindsey AM, Dodd MJ (1987) Fatigue mechanism in cancer patients: developing nursing theory. Oncol Nurs Forum 14:17–23PubMed
23.
go back to reference Smets EM, Garssen B, Bonke B, De Haes JC (1995) The Multidimensional Fatigue Inventory (MFI) psychometric qualities of an instrument to assess fatigue. J Psychosom Res 39:315–325PubMedCrossRef Smets EM, Garssen B, Bonke B, De Haes JC (1995) The Multidimensional Fatigue Inventory (MFI) psychometric qualities of an instrument to assess fatigue. J Psychosom Res 39:315–325PubMedCrossRef
24.
go back to reference Hagelin CL, Wengström Y, Runesdotter S, Fürst CJ (2007) The psychometric properties of the Swedish Multidimensional Fatigue Inventory MFI-20 in four different population. Acta Oncol 46:97–104PubMedCrossRef Hagelin CL, Wengström Y, Runesdotter S, Fürst CJ (2007) The psychometric properties of the Swedish Multidimensional Fatigue Inventory MFI-20 in four different population. Acta Oncol 46:97–104PubMedCrossRef
25.
go back to reference Hagelin CL, Wengström Y, Runesdotter S, Fürst CJ (2007) The psychometric properties of the Swedish Multidimensional Fatigue Inventory MFI-20 in four different population. Acta Oncologica 46:97–104PubMedCrossRef Hagelin CL, Wengström Y, Runesdotter S, Fürst CJ (2007) The psychometric properties of the Swedish Multidimensional Fatigue Inventory MFI-20 in four different population. Acta Oncologica 46:97–104PubMedCrossRef
26.
go back to reference Tian J, Hong JS (2011) Validation of the chinese version of multidimensional fatigue inventory-20 in Chinese patients with cancer. Support Care Cancer 20:2379–2383PubMedCrossRef Tian J, Hong JS (2011) Validation of the chinese version of multidimensional fatigue inventory-20 in Chinese patients with cancer. Support Care Cancer 20:2379–2383PubMedCrossRef
27.
go back to reference Wagnild GM (2009) The Resilience Scale user’s guide for the US English version of the Resilience Scale and the 14-Item Resilience Scale (RS-14). The Resilience Center, Montana Wagnild GM (2009) The Resilience Scale user’s guide for the US English version of the Resilience Scale and the 14-Item Resilience Scale (RS-14). The Resilience Center, Montana
28.
go back to reference Ahern NR, Kiehl EM, Sole ML, Byers J (2006) A review of instruments measuring resilience. Issues Compr Pediatr Nurs 29(2):103–125PubMedCrossRef Ahern NR, Kiehl EM, Sole ML, Byers J (2006) A review of instruments measuring resilience. Issues Compr Pediatr Nurs 29(2):103–125PubMedCrossRef
29.
go back to reference Nishil D, Uehara R, Kondo M, Matsuoka Y (2010) Reliability and validity of the Japanese version of the resilience scale and its short version. BMC Research Notes 3:310CrossRef Nishil D, Uehara R, Kondo M, Matsuoka Y (2010) Reliability and validity of the Japanese version of the resilience scale and its short version. BMC Research Notes 3:310CrossRef
30.
go back to reference Zhen LC, Tian HR, Xie PZ (2009) Medical quality of survival evaluation. Junshi Yixue Kexue Press, Beijing Zhen LC, Tian HR, Xie PZ (2009) Medical quality of survival evaluation. Junshi Yixue Kexue Press, Beijing
31.
go back to reference Hou WK, Law CC, Yin J, Fu YT (2010) Resource loss, resource gain, and psychological resilience and dysfunction following cancer diagnosis: a growth mixture modeling approach. Health Psychol 29(5):484–495PubMedCrossRef Hou WK, Law CC, Yin J, Fu YT (2010) Resource loss, resource gain, and psychological resilience and dysfunction following cancer diagnosis: a growth mixture modeling approach. Health Psychol 29(5):484–495PubMedCrossRef
Metadata
Title
Application of the Chinese version of the MFI-20 in detecting the severe fatigue in cancer patients
Authors
Jun Tian
Jin-Sheng Hong
Publication date
01-08-2013
Publisher
Springer Berlin Heidelberg
Published in
Supportive Care in Cancer / Issue 8/2013
Print ISSN: 0941-4355
Electronic ISSN: 1433-7339
DOI
https://doi.org/10.1007/s00520-013-1783-x

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