{"title":"Prior employment status and obesity do not predict post-stroke fatigue","authors":"Zachary Cooper, N. Gilles, S. Levine, J. Weedon","doi":"10.2217/fnl-2021-0016","DOIUrl":null,"url":null,"abstract":"Aim: To investigate whether prior employment status or obesity pose as risk factors for post stroke fatigue in patients following an ischemic stroke. Materials & methods: A total of 121 patients with a confirmed diagnosis of ischemic stroke in the past 3 years were enrolled into the study. Post-stroke fatigue (PSF) was assessed using the fatigue assessment scale (no PSF ≤21, PSF 22–50). Patients were then identified based on their employment status (previously worked) or obesity (BMI) and compared with the presence of PSF. Results: A Fisher’s exact test was applied to determine the association between PSF and obesity (p = 1.000). A Fisher’s exact test was applied to show the association between PSF and employment status (p = 0.384). In logistic regression, employment status did not independently predict dichotomized fatigue assessment scale (adjusted odds ratio 1.34, 95% CI: 0.51–3.50, p = 0.557). Conclusion: Previous employment status and obesity did not independently predict PSF in an urban, minority community.","PeriodicalId":12606,"journal":{"name":"Future Neurology","volume":" ","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2022-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Future Neurology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2217/fnl-2021-0016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Aim: To investigate whether prior employment status or obesity pose as risk factors for post stroke fatigue in patients following an ischemic stroke. Materials & methods: A total of 121 patients with a confirmed diagnosis of ischemic stroke in the past 3 years were enrolled into the study. Post-stroke fatigue (PSF) was assessed using the fatigue assessment scale (no PSF ≤21, PSF 22–50). Patients were then identified based on their employment status (previously worked) or obesity (BMI) and compared with the presence of PSF. Results: A Fisher’s exact test was applied to determine the association between PSF and obesity (p = 1.000). A Fisher’s exact test was applied to show the association between PSF and employment status (p = 0.384). In logistic regression, employment status did not independently predict dichotomized fatigue assessment scale (adjusted odds ratio 1.34, 95% CI: 0.51–3.50, p = 0.557). Conclusion: Previous employment status and obesity did not independently predict PSF in an urban, minority community.
期刊介绍:
The neurological landscape is changing rapidly. From the technological perspective, advanced molecular approaches and imaging modalities have greatly increased our understanding of neurological disease, with enhanced prospects for effective treatments in common but very serious disorders such as stroke, epilepsy, multiple sclerosis and Parkinson’s disease. Nevertheless, at the same time, the healthcare community is increasingly challenged by the rise in neurodegenerative diseases consequent upon demographic changes in developed countries.