BRADFORD SCHOLARS

    • Sign in
    View Item 
    •   Bradford Scholars
    • University of Bradford eTheses
    • Theses
    • View Item
    •   Bradford Scholars
    • University of Bradford eTheses
    • Theses
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of Bradford ScholarsCommunitiesAuthorsTitlesSubjectsPublication DateThis CollectionAuthorsTitlesSubjectsPublication Date

    My Account

    Sign in

    HELP

    Bradford Scholars FAQsCopyright Fact SheetPolicies Fact SheetDeposit Terms and ConditionsDigital Preservation Policy

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Psychosocial predictors of quality of life post myocardial Infarction: A prospective cohort study in Pakistan

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    View/Open
    PhD Thesis Vol.1 (3.156Mb)
    Download
    PhD Thesis Vol.2 (5.438Mb)
    Download
    Publication date
    2014
    Author
    Gul, Iram
    Supervisor
    Newell, Robert J.
    Plews, Caroline M.C.
    Small, Neil A.
    Hardy, Maryann L.
    Keyword
    Psychosocial predictors; Quality of life; Myocardial infarction (MI); Social support; Anxiety; Depression
    Rights
    Creative Commons License
    The University of Bradford theses are licenced under a Creative Commons Licence.
    Institution
    University of Bradford
    Department
    Faculty of Health Studies
    Awarded
    2014
    
    Metadata
    Show full item record
    Abstract
    Introduction: The current study examined the psychosocial predictors (Type D personality, anxiety, depression & social support) in patients following MI. It further assessed the influence of these psychosocial predictors on quality of life of MI patients. Methods: In this prospective cohort study, 300 patients with definite myocardial infarction were recruited and assessed at baseline (2 -8 weeks) post MI (time 1). Out of 300 participants 191 completed assessments at 9 months follow up (time 2). Type D personality was evaluated with Distress scale 14(DS-14). Depression and anxiety were assessed with Hospital anxiety and depression scale (HADS). Social support was measured with Social support scale (SSS), while quality of Life was assessed with WHO quality of life scale (WHOQOL-BREF) at time 1 and time 2. Results: Analysis revealed that a significantly high percentage of MI patients had Type D personality characteristics, high levels of anxiety, depression and low level of social support. Type D personality and depression emerged as most significant predictors of quality of life after controlling for sociodemographic and clinical variables at time 1 and time 2 assessments. Discussion & Conclusion: This research emphasized the importance of Type D personality, anxiety, depression, and lack of social support in risk stratification for adverse outcomes such as impaired quality of life. This research highlighted the need for a more personalized approach to therapeutic interventions along with medical treatment for the management and rehabilitation of MI patients.
    URI
    http://hdl.handle.net/10454/13680
    Type
    Thesis
    Qualification name
    PhD
    Collections
    Theses

    entitlement

     
    DSpace software (copyright © 2002 - 2022)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.