Poststroke Fatigue: Risk Factors and its Effect on Functional Status and Health-Related Quality of Life

Chen, Yang Kun; Qu, Jian‐Feng; Xiao, Wei; Li, Wan Yi; Weng, Han Yu; Wei, Li; Liu, Yong Lin; Luo, Gen Pei; Fang, Xue Wen; Ungvári, Gábor S.; Xiang, Yu Tao

doi:10.1111/ijs.12409

Cited by 55 publications

(95 citation statements)

References 32 publications

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“…Poststroke fatigue (PSF) is known to result in a number of adverse consequences and negatively impacts on the well-being and quality of life of stroke survivors (3,7). Understanding the mechanism of PSF, especially as it concerns its risk of factors is therefore of utmost importance.…”

Section: Discussionmentioning

confidence: 99%

“…The debility from stroke often results from several consequences of the disease. One major, but often-neglected stroke sequela that has a profoundly distressing effect is poststroke fatigue (PSF) (3,4).…”

Section: Introductionmentioning

confidence: 99%

“…It is known to adversely affect functional ability (3), quality of life, and well being of stroke survivors (3,7). With prevalence rates as high as 75% (8), PSF remains a major source of concern to stroke survivors and their caregivers.…”

Section: Introductionmentioning

confidence: 99%

“…While findings are largely conflicting and apparently inconclusive (9), some studies have shown significant associations between PSF and demographic factors such as female gender (10-12) and older age (10,11,13). Similarly, there is some evidence that clinical factors such as functional ability and pre-stroke fatigue influence PSF (3,4,14,15).…”

Section: Introductionmentioning

confidence: 99%

“…While an overwhelming majority of data on determinants of PSF is from Asian and developed Western countries (3,(10)(11)(12)(13)(14)(15), there is a dearth of information on the subject in developing countries including African countries such as Nigeria. There is however a need for countryspecific data especially as there are reports on association between race/ethnicity and fatigue (16,17).…”

Section: Introductionmentioning

confidence: 99%

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Determinants of Poststroke Fatigue among Stroke Survivors Undergoing Rehabilitation in Nigeria

Vincent-Onabajo

Adamu

2017

Middle East J Rehabil Health Stud

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Background: Poststroke fatigue (PSF) is a major cause of debility after stroke. This study examined socio-demographic and clinical determinants of PSF. Methods: A cross-sectional study was conducted to assess the associations between PSF and socio-demographic (age, gender, marital status, educational level, and poststroke employment status) as well as clinical (type, side and nature of stroke, poststroke duration and function disability) characteristics of stroke survivors undergoing outpatient physiotherapy at 2 government hospitals in Nigeria. Functional disability and PSF were respectively assessed using the Modified Rankin Scale and the Fatigue Severity Scale through face-to-face interviews. Multiple linear regression analysis was used to examine the associations between PSF and the sociodemographic and clinical characteristics of the participants.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Determinants of Poststroke Fatigue among Stroke Survivors Undergoing Rehabilitation in Nigeria

Vincent-Onabajo

Adamu

2017

Middle East J Rehabil Health Stud

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No add‐on effect of tDCS on fatigue and depression in chronic stroke patients: A randomized sham‐controlled trial combining tDCS with computerized cognitive training

et al. 2022

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Background Fatigue and emotional distress rank high among self‐reported unmet needs in life after stroke. Transcranial direct current stimulation (tDCS) may have the potential to alleviate these symptoms for some patients, but the acceptability and effects for chronic stroke survivors need to be explored in randomized controlled trials. Methods Using a randomized sham‐controlled parallel design, we evaluated whether six sessions of 1 mA tDCS (anodal over F3, cathodal over O2) combined with computerized cognitive training reduced self‐reported symptoms of fatigue and depression. Among the 74 chronic stroke patients enrolled at baseline, 54 patients completed the intervention. Measures of fatigue and depression were collected at five time points spanning a 2 months period. Results While symptoms of fatigue and depression were reduced during the course of the intervention, Bayesian analyses provided evidence for no added beneficial effect of tDCS. Less severe baseline symptoms were associated with higher performance improvement in select cognitive tasks, and study withdrawal was higher in patients with more fatigue and younger age. Time‐resolved symptom analyses by a network approach suggested higher centrality of fatigue items (except item 1 and 2) than depression items. Conclusion The results reveal no add‐on effect of tDCS on fatigue or depression but support the notion of fatigue as a relevant clinical symptom with possible implications for treatment adherence and response.

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Comparison of poststroke depression between acute ischemic and hemorrhagic stroke patients

Zeng

Cheng

et al. 2020

Int J Geriat Psychiatry

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Objectives Depression is the most common mental complication in stroke survivors with about one‐third of patients suffering from poststroke depression (PSD). This was the first prospective study aimed to compare the prevalence of PSD and its symptoms between two cohorts of patients with acute ischemic stroke (AIS) and intracerebral hemorrhage (ICH). Methods Both AIS and ICH patients were simultaneously enrolled in the study. Depression symptoms were measured using the 17‐item Hamilton Depression Rating Scale (HAMD‐17) after a 1‐month follow‐up. Patients were diagnosed with PSD according to the Diagnostic and Statistical Manual of Mental Disorders, fourth edition and the HAMD‐17 (HAMD scores >7). Results The prevalence of PSD (42.3%) in the ICH group was significantly higher than that (22.9%) in the AIS group (p < 0.001). After adjustment for conventional confounding factors, the odds ratio of PSD was 2.65 (95% CI, 1.34–5.24, p = 0.005) for ICH compared to AIS. Depressive symptoms consisting of anxiety, loss of interest, insomnia, and fatigue were more frequent in patients with ICH than in AIS patients. Conclusions PSD was more prevalent, and the risk was over twofold higher in patients with ICH than AIS.

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Poststroke Fatigue: Risk Factors and its Effect on Functional Status and Health-Related Quality of Life

Abstract: Depressive symptoms and prestroke fatigue are major correlates of poststroke fatigue while more severe poststroke fatigue is associated with poorer activities of daily living and health-related quality of life.

Cited by 55 publications

References 32 publications

Determinants of Poststroke Fatigue among Stroke Survivors Undergoing Rehabilitation in Nigeria

Determinants of Poststroke Fatigue among Stroke Survivors Undergoing Rehabilitation in Nigeria

No add‐on effect of tDCS on fatigue and depression in chronic stroke patients: A randomized sham‐controlled trial combining tDCS with computerized cognitive training

Comparison of poststroke depression between acute ischemic and hemorrhagic stroke patients

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