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Cited by 171Stroke Rehabilitation and RecoveryAcute Ischemic Stroke ManagementCancer survivorship and care

The effects of fatigue, pain, and depression on quality of life in ischemic stroke patients: The Bergen Stroke Study

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Naess, Halvor, Lunde, Lene, Brogger, Jan·2012·Vascular Health and Risk Management
DOI 10.2147/vhrm.s32780PMC PMC3402053
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Abstract

BACKGROUND: Many patients with cerebral infarction suffer from symptoms such as pain, fatigue, and depression. The aim of this study was to evaluate these symptoms in relation to health-related quality of life (HRQoL) on long-term follow-up. MATERIALS AND METHODS: All surviving stroke patients admitted to the Stroke Unit, Haukeland University Hospital, Norway between February 2006 and November 2008 were sent a questionnaire, including a visual analog pain scale, Fatigue Severity Scale, Depression Subscale of Hospital Anxiety and Depression Scale, Barthel Index, and three measures of HRQoL--15D, EuroQol, and EuroQol Visual Analogue Scale--at least 6 months after stroke onset. Cox regression survival analysis, including EQ-5D, was performed by November 2009. RESULTS: The questionnaire was returned by 328 patients. All three symptoms were reported by 10.1% of the patients, and 26% reported two symptoms. There was a significant association between worse HRQoL scores and an increasing number of cooccurring symptoms for all three HRQoL scores. Fatigue, depression, pain, functional state, and sleeping disorder on follow-up accounted for 58%-83% of the variability in HRQoL, depending on which HRQoL scale was used. Cox regression analysis showed that mortality was associated with a low EuroQol score (P = 0.016). CONCLUSION: Pain, fatigue, and depression were common symptoms among these stroke patients and, to a large extent, they determined the patients' HRQoL. Low HRQoL was associated with increased mortality.

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  • Pain is a common symptom poststroke, affecting as many as 50% of patients on a daily basis.

    “Pain is a common symptom poststroke, affecting as many as 50% of patients on a daily basis.39”

    From Nursing Implications of Mindfulness-Informed Interventions for Stroke Survivors and Their Families. (2022) · cites this paper as [39]

    The Introduction reports pain in 20%–50% of patients with cerebral infarction at follow-up, supporting the approximate 50% figure. But the Materials and methods section asks whether patients suffer from pain, not whether they experience it daily; the daily-frequency qualifier is unsupported. (LLM, conf=0.88)

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Authors
Naess, H., Lunde, L., & Brogger, J.
Affiliations
University of Bergen (NO)
ORCID
Lunde, Lene
Venue
Vascular Health and Risk Management
Publisher
Informa UK Limited
Published
2012-06
Volume
8
Pages
407
ISSN
  • 1176-6344 (ISSN-L)
  • 1178-2048
DOI
10.2147/vhrm.s32780
PMC
PMC3402053
OpenAlex
W2095161487
Cited by
171
References
29
Citations by year
2026: 8 · 2025: 13 · 2024: 12 · 2023: 27 · 2022: 19 · 2021: 13 · 2020: 21 · 2019: 8 · 2018: 6 · 2017: 7 · 2016: 9 · 2015: 14 · 2014: 8 · 2013: 4 · 2012: 1
FWCI
9.14
Type
journal article
Language
en
Open access
Licence
Locations
  • Vascular Health and Risk Management (publishedVersion, cc-by-nc)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Dove Medical Press (Taylor and Francis Group) (submittedVersion, cc-by-nc)
Topics
  • Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
  • Health Sciences › Medicine › Epidemiology › Acute Ischemic Stroke Management
  • Health Sciences › Medicine › Oncology › Cancer survivorship and care
Keywords
ischemic stroke, health-related quality of life, fatigue, pain, depression, mortality, functional disability, sleep disorders, long-term follow-up, EuroQol, 15D, Barthel Index
MeSH terms
Aged, Brain Ischemia, Depression, Fatigue, Female, Humans, Male, Norway, Pain, Pain Measurement, Prognosis, Prospective Studies, Quality of Life, Surveys and Questionnaires, Registries, Risk Factors, Time Factors, Chi-Square Distribution, Linear Models, Logistic Models, Proportional Hazards Models, Survival Analysis, Risk Assessment, Stroke

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