{"title":"脑卒中后疲劳对自我效能感和功能能力的影响","authors":"Rocio Muina-Lopez, M. Guidon","doi":"10.3109/21679169.2013.792868","DOIUrl":null,"url":null,"abstract":"Abstract Introduction: Fatigue is a multidimensional construct that seems relatively common after stroke. Examination of its characteristics and relationship with other factors such as functional ability and self-efficacy may assist the development of future intervention strategies. Methods: Participants with stroke were recruited from community stroke groups. The presence or absence of fatigue was measured with the Multidimensional Fatigue Inventory (MFI). Demographic details, functional ability (Nottingham Extended Activities of Daily Living scale, NEADL) and self-efficacy (Stroke Self-efficacy Questionnaire, SSEQ) scores in the Fatigue and No Fatigue groups were compared. The complexity of post-stroke fatigue (PSF) was also evaluated by examination of the five individual dimensions of the MFI. Results: Fifty-five chronic stroke (> 1 year post-stroke) survivors participated in this study. Prevalence of PSF was 49.1%. No relationship was found between the presence of fatigue and socio-demographic details. Fatigue was negatively correlated with NEADL (r = −0.32; p = 0.016) and SSEQ scores (r = −0.43; p = 0.001). Physical Fatigue was the most common type of PSF (69.6%) closely followed by Activity-related Fatigue (67.9%) and Mental Fatigue (62%). Conclusion: A relationship exists between PSF, self-efficacy and functional ability. The prevalence of both Physical and Mental Fatigue reflects the multidimensional nature of PSF. Future research should address the implementation of self-efficacy-based interventions to reduce fatigue.","PeriodicalId":186472,"journal":{"name":"The European Journal of Physiotherapy","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Impact of post-stroke fatigue on self-efficacy and functional ability\",\"authors\":\"Rocio Muina-Lopez, M. Guidon\",\"doi\":\"10.3109/21679169.2013.792868\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Introduction: Fatigue is a multidimensional construct that seems relatively common after stroke. Examination of its characteristics and relationship with other factors such as functional ability and self-efficacy may assist the development of future intervention strategies. Methods: Participants with stroke were recruited from community stroke groups. The presence or absence of fatigue was measured with the Multidimensional Fatigue Inventory (MFI). Demographic details, functional ability (Nottingham Extended Activities of Daily Living scale, NEADL) and self-efficacy (Stroke Self-efficacy Questionnaire, SSEQ) scores in the Fatigue and No Fatigue groups were compared. The complexity of post-stroke fatigue (PSF) was also evaluated by examination of the five individual dimensions of the MFI. Results: Fifty-five chronic stroke (> 1 year post-stroke) survivors participated in this study. Prevalence of PSF was 49.1%. No relationship was found between the presence of fatigue and socio-demographic details. Fatigue was negatively correlated with NEADL (r = −0.32; p = 0.016) and SSEQ scores (r = −0.43; p = 0.001). Physical Fatigue was the most common type of PSF (69.6%) closely followed by Activity-related Fatigue (67.9%) and Mental Fatigue (62%). Conclusion: A relationship exists between PSF, self-efficacy and functional ability. The prevalence of both Physical and Mental Fatigue reflects the multidimensional nature of PSF. Future research should address the implementation of self-efficacy-based interventions to reduce fatigue.\",\"PeriodicalId\":186472,\"journal\":{\"name\":\"The European Journal of Physiotherapy\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The European Journal of Physiotherapy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3109/21679169.2013.792868\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The European Journal of Physiotherapy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3109/21679169.2013.792868","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Impact of post-stroke fatigue on self-efficacy and functional ability
Abstract Introduction: Fatigue is a multidimensional construct that seems relatively common after stroke. Examination of its characteristics and relationship with other factors such as functional ability and self-efficacy may assist the development of future intervention strategies. Methods: Participants with stroke were recruited from community stroke groups. The presence or absence of fatigue was measured with the Multidimensional Fatigue Inventory (MFI). Demographic details, functional ability (Nottingham Extended Activities of Daily Living scale, NEADL) and self-efficacy (Stroke Self-efficacy Questionnaire, SSEQ) scores in the Fatigue and No Fatigue groups were compared. The complexity of post-stroke fatigue (PSF) was also evaluated by examination of the five individual dimensions of the MFI. Results: Fifty-five chronic stroke (> 1 year post-stroke) survivors participated in this study. Prevalence of PSF was 49.1%. No relationship was found between the presence of fatigue and socio-demographic details. Fatigue was negatively correlated with NEADL (r = −0.32; p = 0.016) and SSEQ scores (r = −0.43; p = 0.001). Physical Fatigue was the most common type of PSF (69.6%) closely followed by Activity-related Fatigue (67.9%) and Mental Fatigue (62%). Conclusion: A relationship exists between PSF, self-efficacy and functional ability. The prevalence of both Physical and Mental Fatigue reflects the multidimensional nature of PSF. Future research should address the implementation of self-efficacy-based interventions to reduce fatigue.