The Parkinson fatigue scale: an evaluation of its validity and reliability in Greek Parkinson’s disease patients
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Fatigue is one of the most frequent and important nonmotor symptoms of patients with Parkinson disease (PD), affecting quality of life. Although, in some cases, it may be a severe and debilitating complaint, it remains relatively unexplored. The PFS-16 is a fatigue measure, specifically designed for PD patients. The aim of this study was to investigate the psychometric properties of Parkinson fatigue scale (PFS-16) in Greek PD patients.
In total, 99 patients with PD were assessed. The following psychometric properties were tested: data quality, floor/ceiling effects, reliability (internal consistency, test–retest reliability), and construct validity. Construct validity was evaluated by examining correlations with other variables including other fatigue measures such as Fatigue Severity Scale (FSS) and the vitality scale (SF-VT) of SF-36. Moreover, assumptions were explored about “known” groups concerning fatigue.
The mean score for the PFS-16 was 2.95 (± 0.91); acceptability was good with negligible floor and ceiling effects. Results showed high internal consistency (Cronbach’s alpha, 0.96) and test–retest reliability (ICC, 0.93). Strong correlations were observed between the PFS-16 and other fatigue (FFS and SF-VT) measures (rs = 0.77 and − 0.70, p < 0.001), revealing appropriate validity. Furthermore, predictions for “known” groups validity were verified.
The Greek version of the PFS-16 showed satisfactory reliability and validity and thus can be regarded as a useful tool in assessing fatigue in PD.
KeywordsFatigue Parkinson fatigue scale Reliability Validity
We gratefully thank Prof. Brown for his permission to translate and use the PFS-16 in this study and for his useful remarks.
The author(s) received no financial support for the research, authorship, and/or publication of this article.
Compliance with ethical standards
The study was carried out in accordance with the Declaration of Helsinki on Ethical Principles for Medical Research.
The authors declare that they have no conflict of interest.
- 2.Metta V, et al. (2011) The possible clinical predictors of fatigue in Parkinson’s disease: a study of 135 patients as part of international nonmotor scale validation project. Parkinsons Dis, 2011. p. 125271Google Scholar
- 6.Barone P, Antonini A, Colosimo C, Marconi R, Morgante L, Avarello TP, Bottacchi E, Cannas A, Ceravolo G, Ceravolo R, Cicarelli G, Gaglio RM, Giglia RM, Iemolo F, Manfredi M, Meco G, Nicoletti A, Pederzoli M, Petrone A, Pisani A, Pontieri FE, Quatrale R, Ramat S, Scala R, Volpe G, Zappulla S, Bentivoglio AR, Stocchi F, Trianni G, Dotto PD, on behalf of the PRIAMO study group (2009) The PRIAMO study: a multicenter assessment of nonmotor symptoms and their impact on quality of life in Parkinson’s disease. Mov Disord 24(11):1641–1649CrossRefGoogle Scholar
- 8.Stocchi F, Abbruzzese G, Ceravolo R, Cortelli P, D'Amelio M, de Pandis MF, Fabbrini G, Pacchetti C, Pezzoli G, Tessitore A, Canesi M, Iannacone C, Zappia M, For the FORTE Study Group (2014) Prevalence of fatigue in Parkinson disease and its clinical correlates. Neurology 83(3):215–220CrossRefGoogle Scholar
- 12.Friedman JH et al (2016) Fatigue in Parkinson’s disease: report from a mutidisciplinary symposium. NPJ Parkinsons Dis 2Google Scholar
- 14.Friedman JH, Alves G, Hagell P, Marinus J, Marsh L, Martinez-Martin P, Goetz CG, Poewe W, Rascol O, Sampaio C, Stebbins G, Schrag A (2010) Fatigue rating scales critique and recommendations by the movement disorders society task force on rating scales for Parkinson’s disease. Mov Disord 25(7):805–822CrossRefGoogle Scholar
- 21.Wild D, Grove A, Martin M, Eremenco S, McElroy S, Verjee-Lorenz A, Erikson P (2005) Principles of good practice for the translation and cultural adaptation process for patient-reported outcomes (PRO) measures: report of the ISPOR task force for translation and cultural adaptation. Value Health 8(2):94–104CrossRefGoogle Scholar
- 24.Katsarou Z et al (2007) Immune factors or depression? Fatigue correlates in Parkinson’s disease. Rev Neurol 45(12):725–728Google Scholar
- 28.Goetz CG, Fahn S, Martinez-Martin P, Poewe W, Sampaio C, Stebbins GT, Stern MB, Tilley BC, Dodel R, Dubois B, Holloway R, Jankovic J, Kulisevsky J, Lang AE, Lees A, Leurgans S, LeWitt PA, Nyenhuis D, Olanow CW, Rascol O, Schrag A, Teresi JA, van Hilten JJ, LaPelle N (2007) Movement Disorder Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS): process, format, and clinimetric testing plan. Mov Disord 22(1):41–47CrossRefGoogle Scholar
- 29.Cohen, J., Statistical power analysis for the behavioral sciences. 2nd ed. ed. 1988, Hillsdale, N.J.: L. Erlbaum AssociatesGoogle Scholar
- 31.Nunnally, J.C. and I.H. Bernstein, Psychometric theory. 3rd ed. ed. 1994, New York ; London: McGraw-HillGoogle Scholar
- 32.Streiner, D.L. and G.R. Norman, Health measurement scales: a practical guide to their development and use. 4th ed. ed. 2008, Oxford: Oxford University PressGoogle Scholar
- 33.Bowling A (2009) Research methods in health: investigating health and health services. 3rd ed. ed. Maidenhead: Open University PressGoogle Scholar
- 39.Okuma Y, Kamei S, Morita A, Yoshii F, Yamamoto T, Hashimoto S, Utsumi H, Hatano T, Hattori N, Matsumura M, Takahashi K, Nogawa S, Watanabe Y, Miyamoto T, Miyamoto M, Hirata K (2009) Fatigue in Japanese patients with Parkinson’s disease: a study using Parkinson fatigue scale. Mov Disord 24(13):1977–1983CrossRefGoogle Scholar