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Original Contribution

Psychological Associations of Poststroke Fatigue

A Systematic Review and Meta-Analysis

Simiao Wu, Amanda Barugh, Malcolm Macleod, Gillian Mead
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https://doi.org/10.1161/STROKEAHA.113.004584
Stroke. 2014;45:1778-1783
Originally published April 29, 2014
Simiao Wu
From the Centre for Clinical Brain Sciences (S.W., M.M., G.M.) and Department of Geriatric Medicine (A.B., G.M.), University of Edinburgh, Edinburgh, United Kingdom; and Department of Neurology, West China Hospital, Sichuan University, Chengdu, China (S.W.).
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Amanda Barugh
From the Centre for Clinical Brain Sciences (S.W., M.M., G.M.) and Department of Geriatric Medicine (A.B., G.M.), University of Edinburgh, Edinburgh, United Kingdom; and Department of Neurology, West China Hospital, Sichuan University, Chengdu, China (S.W.).
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Malcolm Macleod
From the Centre for Clinical Brain Sciences (S.W., M.M., G.M.) and Department of Geriatric Medicine (A.B., G.M.), University of Edinburgh, Edinburgh, United Kingdom; and Department of Neurology, West China Hospital, Sichuan University, Chengdu, China (S.W.).
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Gillian Mead
From the Centre for Clinical Brain Sciences (S.W., M.M., G.M.) and Department of Geriatric Medicine (A.B., G.M.), University of Edinburgh, Edinburgh, United Kingdom; and Department of Neurology, West China Hospital, Sichuan University, Chengdu, China (S.W.).
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Abstract

Background and Purpose—Fatigue is common after stroke but has no effective treatments. Psychological interventions improve fatigue in other conditions by targeting psychological factors such as mood. If psychological factors correlate with fatigue in stroke, this would justify the development of similar interventions for poststroke fatigue (PSF). We used systematic review and meta-analysis to determine psychological associations of PSF.

Methods—We systematically searched for studies that reported psychological associations of PSF. We used odds ratios (ORs) to estimate the strength of associations and random-effects modeling to calculate summary estimates of ORs. We used stratified meta-analysis to investigate the impact of study design and conducted sensitivity analyses limited to studies that excluded patients with clinical depression and to studies that used depression scales without fatigue items.

Results—Thirty-five studies (n=9268) reported the association between PSF and ≥1 psychological factor. For PSF and depressive symptoms, we identified 19 studies (n=6712; pooled OR=4.14; 95% confidence interval, 2.73–6.27); this association existed in patients without clinical depression (pooled OR=1.39; 95% confidence interval, 1.27–1.53) and in studies using depression scales without fatigue items (pooled OR=5.41; 95% confidence interval, 1.54–18.93). For PSF and anxiety, we identified 4 studies (n=3884; pooled OR=2.34; 95% confidence interval, 0.98–5.58). Two studies (n=123) found an association with poor coping styles and 1 study (n=167) with loss of control. Six studies (n=1978) reported other emotional or behavioral associations.

Conclusions—PSF is associated with depressive symptoms, anxiety, poor coping, loss of control, emotional, and behavioral symptoms. These factors are potential targets for treatment of PSF.

  • behavior
  • fatigue
  • rehabilitation
  • stroke
  • Received December 20, 2013.
  • Revision received March 18, 2014.
  • Accepted March 27, 2014.
  • © 2014 American Heart Association, Inc.
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June 2014, Volume 45, Issue 6
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    Psychological Associations of Poststroke Fatigue
    Simiao Wu, Amanda Barugh, Malcolm Macleod and Gillian Mead
    Stroke. 2014;45:1778-1783, originally published April 29, 2014
    https://doi.org/10.1161/STROKEAHA.113.004584

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    Psychological Associations of Poststroke Fatigue
    Simiao Wu, Amanda Barugh, Malcolm Macleod and Gillian Mead
    Stroke. 2014;45:1778-1783, originally published April 29, 2014
    https://doi.org/10.1161/STROKEAHA.113.004584
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