Fatigue in stroke survivors: a 5-year follow-up of the Fall study of Gothenburg

被引:0
作者
Lior Schnitzer
Per-Olof Hansson
Carina M. Samuelsson
Avril Drummond
Carina U. Persson
机构
[1] Sahlgrenska Academy,Department of Molecular and Clinical Medicine, Institute of Medicine
[2] University of Gothenburg,Department of Medicine, Geriatrics and Emergency Medicine
[3] Sahlgrenska University Hospital/Östra,Department of Occupational Therapy and Physiotherapy
[4] Region Västra Götaland,Faculty of Medicine and Health Sciences
[5] Sahlgrenska University Hospital/Östra,Department of Clinical Neuroscience, Rehabilitation Medicine, Institute of Neuroscience and Physiology
[6] Region Västra Götaland,undefined
[7] University of Nottingham,undefined
[8] University of Gothenburg,undefined
来源
Journal of Neurology | 2023年 / 270卷
关键词
Stroke; Post-stroke fatigue; Observational study; Fatigue Assessment Scale;
D O I
暂无
中图分类号
学科分类号
摘要
Longer term knowledge of post-stroke fatigue (PSF) is limited. Our aim was to describe the prevalence of, and to identify baseline predictors associated with, PSF 5 years after stroke. We undertook a follow-up of stroke survivors from the 504 consecutively recruited participants in the observational “The Fall Study of Gothenburg”, conducted between 2014 and 2016. The dependent variable, PSF, was assessed using the Swedish version of the Fatigue Assessment Scale (S-FAS) and defined as having a S-FAS score ≥ 24. The S-FAS questionnaire was mailed to potential participants in August 2020. The independent variables, previously obtained from medical records, included age; sex; comorbidities; stroke severity; hospital length of stay; body mass index (BMI); number of medications and lifestyle factors at index stroke. To identify predictors of PSF, univariable and multivariable logistic regression analyses were performed. Of the 305 eligible participants, 119 (39%) responded with complete S-FAS. Mean age at index stroke was 71 (SD 10.4) years and 41% were female. After a mean of 4.9 years after stroke, the prevalence of PSF was 52%. Among those with PSF, almost two thirds were classified as having both physical and mental PSF. In the multivariable analysis, only high BMI predicted PSF with an odds ratio of 1.25 (95% CI 1.11–1.41, p < 0.01). In conclusion, half of the participants reported PSF 5 years after index stroke and higher body mass index was identified as a predictor. The findings from this study are important for healthcare professionals, for planning health-related efforts and rehabilitation of stroke survivors.
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页码:4812 / 4819
页数:7
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共 203 条
  • [41] Farrall AJ(2019)The epidemiology of obesity Metabolism undefined undefined-undefined
  • [42] Duncan FH(2006)Cross-sectional relationship of reported fatigue to obesity, diet, and physical activity: results from the Third National Health and Nutrition Examination Survey J Clin Sleep Med undefined undefined-undefined
  • [43] Lewis SJ(2017)Stroke risk factors, genetics, and prevention Circ Res undefined undefined-undefined
  • [44] Greig CA(2020)The relationship between obstructive sleep apnea syndrome and obesity: a new perspective on the pathogenesis in terms of organ crosstalk Clin Respir J undefined undefined-undefined
  • [45] Dennis MS(2022)Association of ischemic stroke incidence, severity, and recurrence with dementia in the atherosclerosis risk in communities cohort study JAMA Neurol undefined undefined-undefined
  • [46] Carlsson GE(2013)Distribution of National Institutes of Health Stroke Scale in the Cincinnati/Northern Kentucky Stroke Study Stroke undefined undefined-undefined
  • [47] Möller A(2020)Distributional validity and prognostic power of the National Institutes of Health Stroke Scale in US Administrative Claims Data JAMA Neurol undefined undefined-undefined
  • [48] Blomstrand C(undefined)undefined undefined undefined undefined-undefined
  • [49] Dam H(undefined)undefined undefined undefined undefined-undefined
  • [50] Elf M(undefined)undefined undefined undefined undefined-undefined