• Login
    Search 
    •   UMB Digital Archive
    • School, Graduate
    • Theses and Dissertations All Schools
    • Search
    •   UMB Digital Archive
    • School, Graduate
    • Theses and Dissertations All Schools
    • Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UMB Digital ArchiveCommunitiesPublication DateAuthorsTitlesSubjectsThis CollectionPublication DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Filter by Category

    AuthorAdler, Efrat (1)
    Resnick, Barbara (1)
    Subject
    Nursing Homes (1)
    psychosocial (1)
    Quality of Life (1)
    View MoreDate Issued2010 (1)

    Statistics

    Display statistics
     

    Search

    Show Advanced FiltersHide Advanced Filters

    Filters

    Now showing items 1-1 of 1

    • List view
    • Grid view
    • Sort Options:
    • Relevance
    • Title Asc
    • Title Desc
    • Issue Date Asc
    • Issue Date Desc
    • Results Per Page:
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100

    • 1CSV
    • 1RefMan
    • 1EndNote
    • 1BibTex
    • Selective Export
    • Select All
    • Help
    Thumbnail

    Exploring the Factors that Influence Quality of Life Among Nursing Home Residents

    Adler, Efrat (2010)
    Background: Optimal quality of life is a universally desired outcome for nursing home residents, their families, and policy makers. To comprehensively evaluate the factors that influence quality of life among NH residents the biopsychosocial ecological (BPSE) model was used. Design: A secondary analysis using baseline data from the Restorative-Care Study was performed. Sample: The sample included 391 NH residents from 12 different NHs. Participants had a mean age of 83.7 years (SD=8.4) and the majority was female (80.3%), white (65.5%), and unmarried (83%). Measures: Measurement included socio-demographic variables (age, race, gender, marital status, length of stay), physical factors (pain, anemia, cognitive status), psychosocial factors (self-efficacy, outcome expectations) , and functional performance (activities of daily living, grip strength, gait and balance and falls). The dependent variable, quality of life, was measured using the Dementia Quality of Life Measure (total score and subscales: positive affect, negative affect, self- esteem, feeling of belonging, sense of aesthetics) and a single item individualized quality of life measure. Data analysis: Model testing was done using structural equation modeling and the Amos statistical program. Seven empirical based hypothesized models were tested (total quality of life score, each subscale, and the individualized single item measure). Results: None of the data fit the models, with each having 𝒳2 /df ratios greater than 3. However, education, gender, efficacy expectations, falls, cognitive status, pain and length of stay were all directly related to at least one of the subscales or total quality of life. The total variance in QOL explained by any of the hypothesized models was less than 10% indicating that additional factors not included in the hypothesized models are needed to optimally explain QOL of nursing home residents. Conclusion: The hypothesized models, developed based on the BPSE model and empirical research did not comprehensively explain the variance in QOL among NH residents. Further research is needed to test factors not included in this study (e.g., other comorbities, nutritional status, interpersonal relationships with staff, and social support) and thereby more comprehensively explain and intervene to optimize quality of life among these individuals.
    DSpace software (copyright © 2002 - 2019)  DuraSpace
    Quick Guide | Policies | 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.