Literature DB >> 17330179

Clinical and psychological correlates of poststroke fatigue. Preliminary results.

Krystyna Jaracz1, Liliana Mielcarek, Wojciech Kozubski.   

Abstract

BACKGROUND AND
PURPOSE: Although poststroke fatigue concerns almost 60% of patients, still little is known about its pathogenesis and contributing factors. Therefore, the purpose of this study was to evaluate the severity of fatigue in terms of its impact on physical, psychological and social functioning as well as to determine the relation between fatigue and clinical, demographic and psychological factors.
MATERIAL AND METHODS: Patients (n = 50) with acute first-ever stroke admitted to the neurological department were interviewed at 3 months after discharge. Poststroke fatigue was assessed using the Polish version of the Fatigue Impact Scale. Neurological status was examined with the Scandinavian Stroke Scale, functional status with the Barthel Index, and emotional status with the Beck Depression Inventory. Styles of coping with stress were identified using the Coping Inventory for Stressful Situations. Sex, age, type of stroke and lesion location were documented as well.
RESULTS: Ninety percent of patients demonstrated high level of fatigue in physical functioning, 16% in the psychological domain, and 18% in the social domain. In the univariate analyses, impact of fatigue on patients functioning significantly correlated with age, lower mood, neurological and functional status, as well as with styles of coping. Emotion-oriented coping was associated with lower level of fatigue, whereas the reverse was found regarding task-oriented coping. In the multivariate analyses the emotion-oriented style of coping was the most important correlate of fatigue.
CONCLUSIONS: The causes of poststroke fatigue appear to be multifactorial. Psychological factors, especially coping strategies, might be an important area for future interventions.

Entities:  

Mesh:

Year:  2007        PMID: 17330179

Source DB:  PubMed          Journal:  Neurol Neurochir Pol        ISSN: 0028-3843            Impact factor:   1.621


  8 in total

1.  Prevalence, Trajectory, and Predictors of Poststroke Fatigue among Ghanaians.

Authors:  Fred S Sarfo; Patrick Berchie; Arti Singh; Michelle Nichols; Maria Agyei-Frimpong; Carolyn Jenkins; Bruce Ovbiagele
Journal:  J Stroke Cerebrovasc Dis       Date:  2019-02-21       Impact factor: 2.136

2.  Related risk factors associated with post-stroke fatigue: a systematic review and meta-analysis.

Authors:  Shuangmei Zhang; Sijia Cheng; Zhaoxu Zhang; Chengyin Wang; Anrong Wang; Weifeng Zhu
Journal:  Neurol Sci       Date:  2020-08-19       Impact factor: 3.307

Review 3.  Psychological associations of poststroke fatigue: a systematic review and meta-analysis.

Authors:  Simiao Wu; Amanda Barugh; Malcolm Macleod; Gillian Mead
Journal:  Stroke       Date:  2014-04-29       Impact factor: 7.914

4.  Patients with severe poststroke fatigue show a psychosocial profile comparable to patients with other chronic disease: implications for diagnosis and treatment.

Authors:  Aglaia M E E Zedlitz; Anne J M A Visser-Meily; Vera P Schepers; Alexander C H Geurts; Luciano Fasotti
Journal:  ISRN Neurol       Date:  2011-11-09

Review 5.  Factors Associated with Poststroke Fatigue: A Systematic Review.

Authors:  Amélie Ponchel; Stéphanie Bombois; Régis Bordet; Hilde Hénon
Journal:  Stroke Res Treat       Date:  2015-05-25

Review 6.  Post-stroke Mood and Emotional Disturbances: Pharmacological Therapy Based on Mechanisms.

Authors:  Jong S Kim
Journal:  J Stroke       Date:  2016-09-30       Impact factor: 6.967

7.  Factors Associated With Early and Late Post-stroke Fatigue in Patients With Mild Impairment. Results From the Stroke Cohort Study Augsburg.

Authors:  Inge Kirchberger; Florian Wallner; Jakob Linseisen; Philipp Zickler; Michael Ertl; Markus Naumann; Christine Meisinger
Journal:  Front Neurol       Date:  2022-03-14       Impact factor: 4.003

8.  Determinants of fatigue after first-ever ischemic stroke during acute phase.

Authors:  Shan-Shan Wang; Jia-Ji Wang; Pei-Xi Wang; Ruoling Chen
Journal:  PLoS One       Date:  2014-10-10       Impact factor: 3.240

  8 in total

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