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

© 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...

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Main 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.
Format: Journal Article
Language:English
Published: WILEY 2020
Subjects:
Online Access:http://purl.org/au-research/grants/nhmrc/1064272
http://hdl.handle.net/20.500.11937/80048
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author 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.
author_facet 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.
author_sort Agustini, B.
building Curtin Institutional Repository
collection Online Access
description © 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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spelling curtin-20.500.11937-800482020-08-12T05:32:18Z Patterns of Association between Depressive Symptoms and Chronic Medical Morbidities in Older Adults 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. Science & Technology Life Sciences & Biomedicine Geriatrics & Gerontology Gerontology depression late-life depression medical comorbidity somatic conditions polypharmacy LATE-LIFE DEPRESSION PRIMARY-CARE PATIENTS PRACTICAL APPROACH REDUCING EVENTS SHORT-FORM METAANALYSIS PREVALENCE DISEASE MULTIMORBIDITY PARTICIPANTS © 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. 2020 Journal Article http://hdl.handle.net/20.500.11937/80048 10.1111/jgs.16468 English 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 WILEY restricted
spellingShingle Science & Technology
Life Sciences & Biomedicine
Geriatrics & Gerontology
Gerontology
depression
late-life depression
medical comorbidity
somatic conditions
polypharmacy
LATE-LIFE DEPRESSION
PRIMARY-CARE PATIENTS
PRACTICAL APPROACH
REDUCING EVENTS
SHORT-FORM
METAANALYSIS
PREVALENCE
DISEASE
MULTIMORBIDITY
PARTICIPANTS
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.
Patterns of Association between Depressive Symptoms and Chronic Medical Morbidities in Older Adults
title Patterns of Association between Depressive Symptoms and Chronic Medical Morbidities in Older Adults
title_full Patterns of Association between Depressive Symptoms and Chronic Medical Morbidities in Older Adults
title_fullStr Patterns of Association between Depressive Symptoms and Chronic Medical Morbidities in Older Adults
title_full_unstemmed Patterns of Association between Depressive Symptoms and Chronic Medical Morbidities in Older Adults
title_short Patterns of Association between Depressive Symptoms and Chronic Medical Morbidities in Older Adults
title_sort patterns of association between depressive symptoms and chronic medical morbidities in older adults
topic Science & Technology
Life Sciences & Biomedicine
Geriatrics & Gerontology
Gerontology
depression
late-life depression
medical comorbidity
somatic conditions
polypharmacy
LATE-LIFE DEPRESSION
PRIMARY-CARE PATIENTS
PRACTICAL APPROACH
REDUCING EVENTS
SHORT-FORM
METAANALYSIS
PREVALENCE
DISEASE
MULTIMORBIDITY
PARTICIPANTS
url http://purl.org/au-research/grants/nhmrc/1064272
http://purl.org/au-research/grants/nhmrc/1064272
http://purl.org/au-research/grants/nhmrc/1064272
http://purl.org/au-research/grants/nhmrc/1064272
http://purl.org/au-research/grants/nhmrc/1064272
http://hdl.handle.net/20.500.11937/80048