IDEAS home Printed from https://ideas.repec.org/a/sae/clnure/v30y2021i7p1030-1037.html
   My bibliography  Save this article

Illness Representation and Self-Efficacy: An Exploration of Fatigue Factors in Middle-Aged Stroke Survivors

Author

Listed:
  • Su-Ju Tsai
  • Chia-Chi Li
  • Shu-Mei Tsai
  • Shu-Chuan Kao
  • Hsiao-Mei Chen
  • Hsiang-Chu Pai

Abstract

The purpose of this study is twofold: to examine the relationship between illness representation and self-efficacy and to test the determinants and the effect of self-efficacy, resilience, and stroke impact on fatigue in middle-aged stroke survivors. This study used a cross-sectional and quantitative approach. The instruments included the Chronic Disease Self-Efficacy Scale, Stroke Impact Scale, Resilience Scale, and Fatigue Impact Scale. Structural equation modeling (SEM) was performed to analyze the data. A total of 63 patients with stroke (39 male and 24 female) were recruited form a medical university hospital. The results showed that patients’ illness representation had a significantly effect on self-efficacy for managing disease. In addition, SEM analysis demonstrated that self-efficacy, resilience and stroke impact influenced fatigue, explaining 20.6% of the variance in fatigue. It was concluded that to improve patient fatigue, we believe it is imperative to design interventions that improve patients’ self-efficacy, promote patients’ resilience, and better function.

Suggested Citation

  • Su-Ju Tsai & Chia-Chi Li & Shu-Mei Tsai & Shu-Chuan Kao & Hsiao-Mei Chen & Hsiang-Chu Pai, 2021. "Illness Representation and Self-Efficacy: An Exploration of Fatigue Factors in Middle-Aged Stroke Survivors," Clinical Nursing Research, , vol. 30(7), pages 1030-1037, September.
  • Handle: RePEc:sae:clnure:v:30:y:2021:i:7:p:1030-1037
    DOI: 10.1177/1054773821997134
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1054773821997134
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1054773821997134?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ming‐Hsiu Wu & Sheuan Lee & Hui‐Yi Su & Hsiang‐Chu Pai, 2015. "The effect of cognitive appraisal in middle‐aged women stroke survivors and the psychological health of their caregivers: a follow‐up study," Journal of Clinical Nursing, John Wiley & Sons, vol. 24(21-22), pages 3155-3164, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:clnure:v:30:y:2021:i:7:p:1030-1037. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.