Dutch Multifactor Fatigue Scale: A New Scale to Measure the Different Aspects of Fatigue After Acquired Brain Injury

Visser-Keizer, Annemarie C.; Hogenkamp, Antoinette; Westerhof-Evers, Herma J.; Egberink, Iris J. L.; Spikman, Joke

doi:10.1016/j.apmr.2014.12.010

Cited by 38 publications

(48 citation statements)

References 44 publications

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“…Moreover, only mental fatigue was significantly related to unfavorable long-term functional outcome after SAH, compared to physical fatigue and mood problems. In this study, mental fatigue was identified as an important factor post-SAH, in line with previous studies defining mental fatigue as most distinctive for brain injury [9,10]. Despite some overlap, our data support a distinction between mental and physical fatigue.…”

Section: Discussionsupporting

confidence: 91%

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Mental versus physical fatigue after subarachnoid hemorrhage: differential associations with outcome

Buunk

Groen

Wijbenga

et al. 2018

Euro J of Neurology

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Background and purposeFatigue is a major consequence of subarachnoid hemorrhage (SAH), but the specific characteristics are unclear. Our objective was to investigate the nature of post‐SAH fatigue (mental or physical) and to determine the relationship with functional outcome in the chronic stage. Also, the possible influence of mood disorders and acute SAH‐related factors [SAH type and external cerebrospinal fluid (CSF) drainage] on the presence of fatigue was investigated.MethodsPatients with an aneurysmal SAH (aSAH) or angiographically negative SAH (anSAH) were assessed 3–10 years post‐SAH (N = 221). Questionnaires were used to investigate mental and physical fatigue and mood. Functional outcome was examined with the Glasgow Outcome Scale Extended. Between‐group comparisons and binary logistic regression analysis were performed.ResultsFrequencies of mental and physical fatigue were 48.4% and 38.5%, respectively, with prevalence of mental fatigue being significantly higher. A two‐way anova with SAH type and external CSF drainage as independent variables and mental fatigue as dependent variable showed a significant main effect of CSF drainage only (P < 0.001). Only mental fatigue explained a significant part of the variance in long‐term functional outcome (model χ 2 = 52.99, P < 0.001; Nagelkerke R² = 0.32).ConclusionsMental fatigue after SAH is a serious burden to the patient and is associated with impaired long‐term functional outcome. Distinguishing different aspects of fatigue is relevant as mental post‐SAH fatigue might be a target for treatment aimed to improve long‐term outcome.

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Section: Discussionsupporting

confidence: 91%

“…In this study, mental fatigue was identified as an important factor post‐SAH, in line with previous studies defining mental fatigue as most distinctive for brain injury . Despite some overlap, our data support a distinction between mental and physical fatigue.…”

Section: Discussionsupporting

confidence: 91%

Mental versus physical fatigue after subarachnoid hemorrhage: differential associations with outcome

Buunk

Groen

Wijbenga

et al. 2018

Euro J of Neurology

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“…Poststroke fatigue (PSF) can be defined as a form of pathological fatigue, characterized by a continuous feeling of weariness [1], independent of physical exertion [2], and can develop early after stroke or in the chronic stroke phase. It is a frequent complaint after stroke, with prevalence estimates between 35 and 92% [1].…”

Section: Introductionmentioning

confidence: 99%

Temporal Associations between Fatigue, Depression, and Apathy after Stroke: Results of the Cognition and Affect after Stroke, a Prospective Evaluation of Risks Study

et al. 2017

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Background: Poststroke fatigue (PSF) is a form of pathological fatigue that can develop after stroke and has a negative impact on functional outcome. PSF is associated with poststroke depression (PSD), which in turn shows similarities with poststroke apathy (PSA). This study aimed at disentangling the temporal associations between PSF and PSD and between PSF and PSA. Methods: A total of 250 stroke patients were included, of which 243 completed the Fatigue Severity Scale, Montgomery-Åsberg Depression Rating Scale, and Apathy Evaluation Scale at 3 months poststroke, with follow-up measurements at 6 and 12 months after initial testing. Linear mixed models and linear regressions were performed to evaluate the temporal associations between PSF and PSD, and between PSF and PSA. Results: PSF was present in 119 patients (49%), of whom 62 patients also had PSD (26%), and 21 patients (9%) also had PSA. At baseline, PSF patients showed higher depression levels, which remained stable at follow-up. PSD patients had higher fatigue levels compared with no-PSD patients at baseline, which remained stable at follow-up. No association between apathy and fatigue was found at baseline and no interaction with time was found. Change in fatigue from baseline to 12-month follow-up was associated with change in depression and with change in apathy. Conclusions: Bidirectional associations were found between PSF and PSD. In treatment and rehabilitation programs, early focus on the presence of PSD and PSF is important, since these conditions tend to persist. As there are currently more treatment options for PSD, attention for PSD is important and might also have a beneficial effect on PSF.

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“…Subjective fatigue The Dutch Multi-Factor Fatigue Scale Fatigue (DMFS) is used to measure with fatigue. The DMFS examines several factors of fatigue following TBI [41], including impact of fatigue, mental fatigue, signs and direct consequences of fatigue, physical fatigue and coping with fatigue. The DMFS consist of 38 items rated on a 5 point scale Likert scale with higher scores on each subscale indicate more severe fatigue.…”

Section: Group Characteristics and Monitoring Participantsmentioning

confidence: 99%

“…The DMFS consist of 38 items rated on a 5 point scale Likert scale with higher scores on each subscale indicate more severe fatigue. This questionnaire is specifically developed to measure the multi facets of fatigue following acquired brain injury [41]. Subjective sleep-wake patterns The relevant questions of the consensus sleep diary, which is a standardized sleep diary (SD) developed by insomnia experts [42], are used to examine subjective sleep-wake patterns and for better interpretation of actigraphy data.…”

Section: Group Characteristics and Monitoring Participantsmentioning

confidence: 99%

Unraveling the Biopsychosocial Factors of Fatigue and Sleep Problems After Traumatic Brain Injury: Protocol for a Multicenter Longitudinal Cohort Study (Preprint)

Bruijel¹,

Stapert²,

Vermeeren³

et al. 2018

Preprint

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Background: Fatigue and sleep problems are common after traumatic brain injury (TBI) and are experienced as highly distressing symptoms, playing a significant role in the recovery trajectory and can drastically impact the quality of life and societal participation of the patient and their family and friends. However, the etiology and development of these symptoms is still uncertain. Objective: The aim of this study is to examine the development of fatigue and sleep problems following moderate to severe TBI and explore the changes in underlying biological (pain, brain damage), psychological (emotional state) and social (support family, participation) factors across time. Methods: Longitudinal multicenter observational cohort study with four measurement points (3, 6, 12 and 18 months post injury) including subjective questionnaires and cognitive tasks, preceded by 7 nights of actigraphy combined with a sleep diary. Recruitment of 137 moderate to severe TBI patients presenting at emergency and neurology departments or rehabilitation centers across the Netherlands is anticipated. Results: The evolution of fatigue and sleep problems following TBI and their association with possible underlying biological (pain, brain damage), psychological (emotional state) and social (support family, participation) factors will be examined. Conclusion:To the authors' knowledge this study is the first study that examines the development of both post-TBI fatigue and sleep longitudinally within a biopsychosocial model in moderate to severe TBI using both subjective and objective measures. Identification of modifiable factors such as mood and psychosocial stressors may give direction to the development of interventions for fatigue and sleep problems post-TBI.

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Dutch Multifactor Fatigue Scale: A New Scale to Measure the Different Aspects of Fatigue After Acquired Brain Injury

Cited by 38 publications

References 44 publications

Mental versus physical fatigue after subarachnoid hemorrhage: differential associations with outcome

Mental versus physical fatigue after subarachnoid hemorrhage: differential associations with outcome

Temporal Associations between Fatigue, Depression, and Apathy after Stroke: Results of the Cognition and Affect after Stroke, a Prospective Evaluation of Risks Study

Unraveling the Biopsychosocial Factors of Fatigue and Sleep Problems After Traumatic Brain Injury: Protocol for a Multicenter Longitudinal Cohort Study (Preprint)

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