Library Portal | UWC Portal | National ETDs | Global ETDs
    • Login
    Contact Us | About Us | FAQs | Login
    View Item 
    •   DSpace Home
    • Faculty of Community and Health Sciences
    • School of Nursing
    • Research Articles (Nursing)
    • View Item
    •   DSpace Home
    • Faculty of Community and Health Sciences
    • School of Nursing
    • Research Articles (Nursing)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Depressive symptoms in community-dwelling persons aged≥60 years in Inanda, Ntuzuma and KwaMashu in eThekwini, KwaZulu-Natal

    Thumbnail
    View/Open
    Narainsamy_Depressivesymptomsin_2015.pdf (118.0Kb)
    Date
    2015
    Author
    Chipps, Jennifer
    Narainsamy, Jayalakshmi
    Cassim, Bilkish
    Metadata
    Show full item record
    Abstract
    BACKGROUND. Physical and psychological ailments increase with age; while the physical ailments are well documented, mental health issues have received less attention. OBJECTIVE. To determine the prevalence of depressive symptoms and associated risk factors in individuals aged ≥60 years living in a lowresource peri-urban area in South Africa. METHODS. Secondary analysis was performed on data obtained from a primary study conducted to determine the influence of socioeconomic and environmental factors on the health status and quality of life in older persons living in the Inanda, Ntuzuma and KwaMashu (INK) area. The Center for Epidemiologic Studies Short Depression Scale (CES-D 10) was used to screen for depressive symptoms in the week preceding the interview, and respondents were categorised as having no (score <10), mild (10 - 14), or severe (>14) depressive symptoms. Risk factor associations were tested using Pearson’s χ2 tests and logistic regression. RESULTS. There were 1 008 respondents (mean (standard deviation) age 68.9 (7.4) years), of whom 503 (49.1%) did not meet criteria for depressive symptoms. Of the 505 (50.1%) respondents who met the CES-D 10 criteria for depressive symptoms, 422 (41.9%) had mild and 83 (8.2%) had severe depressive symptoms. In the univariate analysis, significant associations were found with age (p=0.011), household size (p=0.007), income (p=0.033), disability (p=0.001), nutritional status (p≤0.001), the inability to count on family (p=0.008) and lack of mastery (p≤0.001). In direct binary logistic regression, there were significant associations with lack of mastery (p≤0.001), inability to count on family (p=0.027), malnutrition (p≤0.001) and household size (p=0.024). CONCLUSION. This study highlights the high prevalence of depressive symptoms in the elderly in the INK area, and the need to promote successful ageing of the elderly population in this area.
    URI
    http://hdl.handle.net/10566/2834
    Collections
    • Research Articles (Nursing)

    DSpace 6.3 | Ubuntu | Copyright © University of the Western Cape
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    Statistics

    View Usage Statistics

    DSpace 6.3 | Ubuntu | Copyright © University of the Western Cape
    Contact Us | Send Feedback
    Theme by 
    Atmire NV