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Quality of Life Research
Gepubliceerd in:

16-06-2018

Fatigue in the general population: German normative values of the EORTC QLQ-FA12

Auteurs: Andreas Hinz, Joachim Weis, Elmar Brähler, Anja Mehnert

Gepubliceerd in: Quality of Life Research | Uitgave 10/2018

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Abstract

Purpose

Fatigue is a frequent symptom in patients suffering from chronic diseases, especially cancer patients. A new fatigue questionnaire was recently developed to better assess this condition, the EORTC QLQ-FA12. The aims of this study were to test the psychometric properties of this fatigue questionnaire and to provide normative values.

Methods

A total of 2411 individuals (53.5% women), representatively selected from the German general population, responded to the EORTC QLQ-FA12 questionnaire.

Results

Women reported more fatigue than men on all three scales of the EORTC QLQ-FA12 with the following effect sizes: d = 0.29 (physical fatigue), d = 0.22 (emotional fatigue), and d = 0.11 (cognitive fatigue). There were no linear age trends. Confirmatory factorial analysis confirmed the latent structure of the questionnaire. The correlations among the latent scales were between 0.71 and 0.84. The internal consistency coefficients were alpha = 0.92 (physical fatigue), 0.86 (emotional fatigue), 0.79 (cognitive fatigue), and 0.94 (sum score).

Conclusions

The study proved the psychometric quality of the EORTC QLQ-FA12 in the general population. Gender differences should be accounted for when comparing groups of patients. The normative scores can be used to qualify the assessment of the degree of patients’ fatigue.
vorige artikel Consequences of different types of informal caregiving for mental, self-rated, and physical health: longitudinal findings from the German Ageing Survey
volgende artikel Cross-cultural validation of the German version of the Four-Dimensional Symptom Questionnaire (4DSQ) in multimorbid elderly people
Literatuur
1.
Saligan, L. N., Olson, K., Filler, K., et al. (2015). The biology of cancer-related fatigue: A review of the literature. Supportive Care in Cancer, 23, 2461–2478.CrossRefPubMedPubMedCentral
2.
Weis, J. (2011). Cancer-related fatigue: prevalence, assessment and treatment strategies. Expert Review of Pharmacoeconomics & Outcomes Research, 11, 441–446.CrossRef
3.
Whitehead, L. C., Unahi, K., Burrell, B., & Crowe, M. T. (2016). The experience of fatigue across long-term conditions: A qualitative meta-synthesis. Journal of Pain and Symptom Management, 52, 131.CrossRefPubMed
4.
Giacalone, A., Quitadamo, D., Zanet, E., Berretta, M., Spina, M., & Tirelli, U. (2013). Cancer-related fatigue in the elderly. Supportive Care in Cancer, 21, 2899–2911.CrossRefPubMed
5.
Mehnert, A., Hartung, T. J., Friedrich, M., et al. (2018). One in two cancer patients is significantly distressed: Prevalence and indicators of distress. Psycho-Oncology, 27, 75–82.CrossRefPubMed
6.
Cella, D., Davis, K., Breitbart, W., & Curt, G. (2001). Cancer-related fatigue: Prevalence of proposed diagnostic criteria in a United States sample of cancer survivors. Journal of Clinical Oncology, 19, 3385–3391.CrossRefPubMed
7.
Kuhnt, S., Ernst, J., Singer, S., et al. (2009). Fatigue in cancer survivors—prevalence and predictors. Onkologie, 32, 312–317.CrossRefPubMed
8.
Cumming, T. B., Packer, M., Kramer, S. F., & English, C. (2016). The prevalence of fatigue after stroke: A systematic review and meta-analysis. International Journal of Stroke, 11, 968–977.CrossRefPubMed
9.
Kentson, M., Tödt, K., Skargren, E., et al. (2016). Factors associated with experience of fatigue, and functional limitations due to fatigue in patients with stable COPD. Therapeutic Advances in Respiratory Disease, 10, 410–424.CrossRefPubMedPubMedCentral
10.
Katz, P. (2017). Causes and consequences of fatigue in rheumatoid arthritis. Current Opinion in Rheumatology, 29, 269–276.CrossRefPubMed
11.
Kratz, A. L., Schilling, S., Goesling, J., & Williams, D. A. (2016). The PROMIS FatigueFM Profile. A self-report measure of fatigue for use in fibromyalgia. Quality of Life Research, 25, 1803–1813.CrossRefPubMedPubMedCentral
12.
Herlofson, K., & Kluger, B. M. (2017). Fatigue in Parkinson’s disease. Journal of the Neurological Sciences, 374, 38–41.CrossRefPubMed
13.
van den Akker, L. E., Beckerman, H., Collette, E. H., Eijssen, I. C. J. M., Dekker, J., & Groot, V. (2016). Effectiveness of cognitive behavioral therapy for the treatment of fatigue in patients with multiple sclerosis: A systematic review and meta-analysis. Journal of Psychosomatic Research, 90, 33–42.CrossRefPubMed
14.
Han, C. J., & Yang, G. S. (2016). Fatigue in irritable bowel syndrome: A systematic review and meta-analysis of pooled frequency and severity of fatigue. Asian Nursing Research, 10, 1–10.CrossRefPubMed
15.
Agasi-Idenburg, C., Velthuis, M., & Wittink, H. (2010). Quality criteria and user-friendliness in self-reported questionnaires on cancer-related fatigue: A review. Journal of Clinical Epidemiology, 63, 705–711.CrossRefPubMed
16.
de Raaf, P. J., de Klerk, C., & van der Rijt, C. C. D. (2013). Elucidating the behavior of physical fatigue and mental fatigue in cancer patients: A review of the literature. Psycho-Oncology, 22, 1919–1929.CrossRefPubMed
17.
Seyidova-Khoshknabi, D., Davis, M. P., & Walsh, D. (2011). Review article: A systematic review of cancer-related fatigue measurement questionnaires. American Journal of Hospice and Palliative Medicine, 28, 119–129.CrossRefPubMed
18.
Aaronson, N. K., Ahmedzai, S., Bergman, B., et al. (1993). The European-Organization-for-Research-and-Treatment-of-Cancer QLQ-C30—a quality-of-life instrument for use in international clinical trials in oncology. Journal of the National Cancer Institute, 85, 365–376.CrossRefPubMed
19.
Weis, J., Tomaszewski, K. A., Hammerlid, E., et al. (2017). International psychometric validation of an EORTC quality of life module measuring cancer related fatigue (EORTC QLQ-FA12). Journal of the National Cancer Institute, 109, djw273.CrossRef
20.
Scott, J. A., Lasch, K. E., Barsevick, A. M., & Piault-Louis, E. (2011). Patients’ experiences with cancer-related fatigue. A review and synthesis of qualitative research. Oncology Nursing Forum, 38, E191–E203.CrossRef
21.
Weis, J., Arraras, J. I., Conroy, T., et al. (2012). Development of an EORTC quality of life phase III module measuring cancer-related fatigue (EORTC QLQ-FA13). Psycho-Oncology, 22, 1002–1007.CrossRefPubMed
22.
Rief, H., Akbar, M., Keller, M., et al. (2014). Quality of life and fatigue of patients with spinal bone metastases under combined treatment with resistance training and radiation therapy—a randomized pilot trial. Radiation Oncology, 9, 151.CrossRefPubMed
23.
Rief, H., Heinhold, M., Bruckner, T., et al. (2014). Quality of life, fatigue and local response of patients with unstable spinal bone metastases under radiation therapy—a prospective trial. Radiation Oncology, 9, 133.CrossRefPubMed
24.
Fuhrmann, K., Mehnert, A., Geue, K., & Hinz, A. (2015). Fatigue in breast cancer patients: Psychometric evaluation of the fatigue questionnaire EORTC QLQ-FA13. Breast Cancer, 22, 608–614.CrossRefPubMed
25.
Nashan, D., Reuter, K., Mohr, P., & Agarwala, S. S. (2012). Understanding and managing interferon-alpha-related fatigue in patients with melanoma. Melanoma Research, 22, 415–423.CrossRefPubMed
26.
Kecke, S., Ernst, J., Einenkel, J., Singer, S., & Hinz, A. (2017). Psychometric properties of the fatigue questionnaire EORTC QLQ-FA12 in a sample of female cancer patients. Journal of Pain and Symptom Management, 54, 922–928.CrossRefPubMed
27.
Löwe, B., Wahl, I., Rose, M., et al. (2010). A 4-item measure of depression and anxiety: Validation and standardization of the Patient Health Questionnaire-4 (PHQ-4) in the general population. Journal of Affective Disorders, 122, 86–95.CrossRefPubMed
28.
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.CrossRef
29.
Cella, D., Lai, J.-S., & Stone, A. (2011). Self-reported fatigue: One dimension or more? Lessons from the functional assessment of chronic illness therapy—fatigue (FACIT-F) questionnaire. Supportive Care in Cancer, 19, 1441–1450.CrossRefPubMed
30.
Yost, K. J., Waller, N. G., Lee, M. K., & Vincent, A. (2017). The PROMIS fatigue item bank has good measurement properties in patients with fibromyalgia and severe fatigue. Quality of Life Research, 26, 1417–1426.CrossRefPubMed
31.
Smets, E. M. A., Garssen, B., Bonke, B., & Dehaes, J. C. J. M. (1995). The multidimensional fatigue inventory (MFI): Psychometric qualities of an instrument to assess fatigue. Journal of Psychosomatic Research, 39, 315–325.CrossRefPubMed
32.
de Vries, J., Michielsen, H., van Heck, G. L., & Drent, M. (2004). Measuring fatigue in sarcoidosis: The Fatigue Assessment Scale (FAS). British Journal of Health Psychology, 9, 279–291.CrossRefPubMed
33.
Lai, J.-S., Cella, D., Yanez, B., & Stone, A. (2014). Linking fatigue measures on a common reporting metric. Journal of Pain and Symptom Management, 48, 639–648.CrossRefPubMedPubMedCentral
34.
Beutel, M. E., Hinz, A., Albani, C., & Brähler, E. (2006). Fatigue Assessment Questionnaire: Standardization of a cancer-specific instrument based on the general population. Oncology, 70, 351–357.CrossRefPubMed
35.
Schwarz, R., Krauss, O., & Hinz, A. (2003). Fatigue in the general population. Onkologie, 26, 140–144.PubMed
36.
Nordin, Å, Taft, C., Lundgren-Nilsson, Å, & Dencker, A. (2016). Minimal important differences for fatigue patient reported outcome measures-a systematic review. BMC Medical Research Methodology, 16, 62.CrossRefPubMedPubMedCentral
37.
Hinz, A., Singer, S., & Brähler, E. (2014). European reference values for the quality of life questionnaire EORTC QLQ-C30: Results of a German investigation and a summarizing analysis of six European general population normative studies. Acta Oncologica, 53, 958–965.CrossRefPubMed
38.
Fischer, F., Gibbons, C., Coste, J., Valderas, J. M., Rose, M., & Leplège, A. (2018). Measurement invariance and general population reference values of the PROMIS Profile 29 in the UK, France, and Germany. Quality of Life Research, 27, 999–1014.CrossRefPubMed
Metagegevens
Titel
Fatigue in the general population: German normative values of the EORTC QLQ-FA12
Auteurs
Andreas Hinz
Joachim Weis
Elmar Brähler
Anja Mehnert
Publicatiedatum
16-06-2018
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 10/2018
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-018-1918-0

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