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    Patterns of Association between Depressive Symptoms and Chronic Medical Morbidities in Older Adults

    Access Status
    Fulltext not available
    Authors
    Agustini, B.
    Lotfaliany, M.
    Woods, R.L.
    McNeil, J.J.
    Nelson, M.R.
    Shah, R.C.
    Murray, A.M.
    Ernst, M.E.
    Reid, Christopher
    Tonkin, A.
    Lockery, J.E.
    Williams, L.J.
    Berk, M.
    Mohebbi, M.
    Date
    2020
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Agustini, B. and Lotfaliany, M. and Woods, R.L. and McNeil, J.J. and Nelson, M.R. and Shah, R.C. and Murray, A.M. et al. 2020. Patterns of Association between Depressive Symptoms and Chronic Medical Morbidities in Older Adults. Journal of the American Geriatrics Society.
    Source Title
    Journal of the American Geriatrics Society
    DOI
    10.1111/jgs.16468
    ISSN
    0002-8614
    Faculty
    Faculty of Health Sciences
    School
    School of Public Health
    Funding and Sponsorship
    http://purl.org/au-research/grants/nhmrc/1064272
    http://purl.org/au-research/grants/nhmrc/1059660
    http://purl.org/au-research/grants/nhmrc/1045862
    http://purl.org/au-research/grants/nhmrc/334047
    http://purl.org/au-research/grants/nhmrc/1127060
    URI
    http://hdl.handle.net/20.500.11937/80048
    Collection
    • Curtin Research Publications
    Abstract

    © 2020 The American Geriatrics Society

    OBJECTIVES: To investigate the association between depressive symptoms and several medical morbidities, and their combination, in a large older population.

    DESIGN: Cross-sectional study of baseline data from the ASPirin in Reducing Events in the Elderly (ASPREE) trial.

    SETTING: Multicentric study conducted in Australia and the United States. PARTICIPANTS: A total of 19,110 older adults (mean age = 75 years [standard deviation = ±4.5]).

    MEASUREMENTS: Depressive symptoms were measured using the Center for Epidemiological Studies Depression (CES-D 10) scale. Medical morbidities were defined according to condition-specific methods. Logistic regression was used to calculate odds ratios (ORs) with 95% confidence intervals (CIs) to test associations before and after accounting for possible confounders.

    RESULTS: Depressive symptoms were significantly associated with obesity (OR = 1.19; 95% CI = 1.07-1.32), diabetes (OR = 1.22; 95% CI = 1.05-1.42), gastroesophageal reflux disease (GERD) (OR = 1.41; 95% CI = 1.28-1.57), metabolic syndrome (OR = 1.16; 95% CI = 1.03-1.29), osteoarthritis (OR = 1.41; 95% CI = 1.27-1.57), respiratory conditions (OR = 1.25; 95% CI = 1.10-1.42), history of cancer (OR = 1.19; 95% CI = 1.05-1.34), Parkinson’s disease (OR = 2.56; 95% CI = 1.83-3.56), polypharmacy (OR = 1.60; 95% CI = 1.44-1.79), and multimorbidity (OR = 1.29; 95% CI = 1.12-1.49). No significant association was observed between depressive symptoms and hypertension, chronic kidney disease, dyslipidemia, and gout (P >.05). A significant dose-response relationship was evident between the number of medical comorbidities and the prevalence of depression (OR = 1.18; 95% CI = 1.13-1.22).

    CONCLUSION: Late-life depressive symptoms are significantly associated with several medical morbidities, and there appears to be a cumulative effect of the number of somatic diseases on the prevalence of depression. These findings augment the evidence for a complex relationship between mental and physical health in an otherwise healthy older population and might guide clinicians toward early recognition of high-risk individuals.

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