IDEAS home Printed from https://ideas.repec.org/a/sae/clnure/v28y2019i7p886-904.html
   My bibliography  Save this article

Mental Health–Ill Health Differences in Disease Severity and Its Sociodemographic Biobehavioral Predictors Among Patients With Knee Osteoarthritis

Author

Listed:
  • Hamed Rezakhani Moghaddam
  • Haidar Nadrian
  • Nategh Abbagolizadeh
  • Towhid Babazadeh
  • Mehran Aghemiri
  • Asaad Fathipour

Abstract

Our aim in this cross-sectional study was to investigate mental health–ill health differences in disease severity and its sociodemographic biobehavioral predictors among patients with knee osteoarthritis (OA). Applying convenient sampling, 180 patients with knee OA in Tabriz, Iran, were recruited to participate in completing a three-section questionnaire (SF-12, Lequesne Algofunctional Index and Self-Management Behaviors Scale). Separate hierarchical multiple linear regressions were performed with OA severity as dependent variable: one for OA patients with positive mental health and other for OA patients with mental disorders symptoms . Among the patients with positive mental health, but not those with symptoms of mental disorder, pain management, duration of OA, physical activity management, living alone, and level of education were significant predictors of disease severity. Health care providers with a better understanding on the determinants of disease severity by mental health status may identify vulnerable patients and develop targeted interventions to foster disease management behaviors among OA patients.

Suggested Citation

  • Hamed Rezakhani Moghaddam & Haidar Nadrian & Nategh Abbagolizadeh & Towhid Babazadeh & Mehran Aghemiri & Asaad Fathipour, 2019. "Mental Health–Ill Health Differences in Disease Severity and Its Sociodemographic Biobehavioral Predictors Among Patients With Knee Osteoarthritis," Clinical Nursing Research, , vol. 28(7), pages 886-904, September.
    • Handle: RePEc:sae:clnure:v:28:y:2019:i:7:p:886-904
    DOI: 10.1177/1054773817751527
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1054773817751527
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1054773817751527?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
    ---><---

    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:28:y:2019:i:7:p:886-904. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.