Parkinson Fatigue Scale

Brown, Richard M.; Dittner, Antonia; Findley, Leslie J.; Wessely, Simon

doi:10.1037/t35165-000

Cited by 46 publications

(70 citation statements)

References 11 publications

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“…Finally, the design prevented us from examining responsiveness and test-retest reliability. However, previous studies have found acceptable test-retest reliability of both the FACIT-F and the PFS-16 in PD (9,11,12).…”

Section: This Study Presents a Rasch Based Head-to-head Comparison Ofmentioning

confidence: 96%

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Fatigue in Parkinson's Disease: Measurement Properties of a Generic and a Condition-Specific Rating Scale

Nilsson

Bladh

Hagell

2013

Journal of Pain and Symptom Management

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PostprintThis is the accepted version of a paper published in Journal of Pain Symptom and Management. This paper has been peer-reviewed but does not include the final publisher proof-corrections or journal pagination. Citation for the original published paper (version of record):Nilsson, M., Bladh, S., Hagell, P. [Year unknown!] Fatigue in Parkinson' s disease: measurement properties of a generic and a condition-specific scale. Methods: Postal survey data (n=150; 47% women; mean age, 70) were Rasch analyzed. Journal of Pain Symptom and ManagementPFS-16 scores were tested according both to the original polytomous and the suggested alternative dichotomized scoring methods. Results:The PFS-16 showed overall Rasch model fit whereas the FACIT-F showed signs of misfit, which probably was due to a sleepiness-related item and mixing of positively/negatively worded items. There was no differential item functioning by disease duration but by fatigue status (greater likelihood of needing to sleep or rest during the day among people classified as non-fatigued) in the PFS-16 and FACIT-F. However, this did not impact total score based estimated person measures. Targeting and reliability (≥0.86) was good, but the dichotomized PFS-16 showed compromised measurement precision.Polytomous and dichotomized PFS-16 and FACIT-F scores identified 6, 3 and 4 statistically distinct sample strata, respectively. Conclusion:We found general support for the measurement properties of both scales.However, polytomous PFS-16 scores exhibited advantages compared to dichotomous PFS-16and FACIT-F scores. Dichotomization of item responses compromises measurement precision and ability to separate people, and should be avoided.3

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Section: This Study Presents a Rasch Based Head-to-head Comparison Ofmentioning

confidence: 96%

“…This is equivalent to the original 1-5 scoring method (4,12). An alternative scoring method has also been proposed (11), where item responses are dichotomized ('agree' and 'strongly agree'=1; all other responses=0), giving a total score of 0-16 (16=more fatigue). Both scoring methods require complete responses to produce total scores.…”

Section: Instrumentsmentioning

confidence: 99%

Fatigue in Parkinson's Disease: Measurement Properties of a Generic and a Condition-Specific Rating Scale

Nilsson

Bladh

Hagell

2013

Journal of Pain and Symptom Management

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“…UPDRS part III (motor score) was used as an overall measure of Parkinsonism. For evaluating fatigue in patients with PD, the PD Fatigue Scale (PFS) was used (14). The PFS is a self-report questionnaire consisting of 16 statements describing the severity of fatigue symptoms.…”

Section: Methodsmentioning

confidence: 99%

Fatigue in Patients with Parkinson's Disease: Impact on Quality of Life

Miwa

2011

Intern. Med.

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Objective To determine the prevalence of fatigue and factors associated with fatigue in patients with Parkinson's disease (PD). Methods Fatigue was evaluated using the PD Fatigue Scale, a self-report questionnaire consisting of 16 statements describing the severity of fatigue symptoms. Patients were also evaluated using the Unified PD Rating Scale, Zung Depression Scale, the Epworth Sleepiness Scale, the PD Questionnaire-39 (PDQ-39) for assessing quality of life (QOL), and the Apathy Scale. Patients We examined 46 consecutive outpatients clinically diagnosed with PD, excluding patients with cognitive impairment.Results Fatigue was present in 22 (48%) patients. Multiple logistic regression analysis indicated that only QOL-scores and Apathy Scale scores were significant independent variables related to the presence of fatigue. Conclusion Fatigue is a common symptom in patients with PD, and it is a symptom closely related to impaired QOL.

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“…PD patients complaining about fatigue describe it as being different from the fatigue they experienced before developing PD [10]. Fatigue in PD can be divided into ''peripheral fatigue'', which refers to an objectively measurable process in which a muscle loses strength after repeated contractions, and ''central fatigue'', which refers to a feeling-state, a perception or experience that is yet not objectively measurable [1].…”

Section: Introductionmentioning

confidence: 99%

Clinical determinants of primary and secondary fatigue in patients with Parkinson’s disease

et al. 2013

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Clinical and psychosocial factors associated separately with primary and secondary fatigue in Parkinson's disease (PD) patients have not been thoroughly studied before. The aim of our study was to assess factors associated with different fatigue domains in groups with primary and secondary fatigue in PD separately. We divided 165 nondemented PD patients according to the absence/presence of depression, anxiety and excessive somnolence into groups with primary fatigue (N = 63) and with secondary fatigue (N = 102). Fatigue domains examined using the multidimensional fatigue inventory were associated through multiple linear regression analyses for each group separately with sociodemographic data, disease duration, functional status as assessed by the Unified Parkinson's Disease Rating Scale, treatment, depression, anxiety, excessive somnolence and sleep quality. Out of the assessed non-motor symptoms, fatigue was the most frequent (77.6 %). The prevalence of fatigue in the secondary fatigue group was significantly higher than in the primary fatigue group. Both fatigue groups differed significantly in factors associated with different fatigue domains. Functional status or other disease-related factors were not associated with primary fatigue. In the secondary fatigue group, we found associations between some fatigue domains and functional status, older age, male gender and higher anxiety scores. To our knowledge, this is the first study to separately describe clinical determinants and psychosocial factors associated with different fatigue domains in primary and secondary fatigue in PD, underlining the importance of distinguishing primary and secondary fatigue in future PD studies and clinical practice.

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Parkinson Fatigue Scale

Cited by 46 publications

References 11 publications

Fatigue in Parkinson's Disease: Measurement Properties of a Generic and a Condition-Specific Rating Scale

Fatigue in Parkinson's Disease: Measurement Properties of a Generic and a Condition-Specific Rating Scale

Fatigue in Patients with Parkinson's Disease: Impact on Quality of Life

Clinical determinants of primary and secondary fatigue in patients with Parkinson’s disease

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