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      Depression as a modifiable factor to decrease the risk of dementia

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          Abstract

          Depression is an accepted risk factor for dementia, but it is unclear if this relationship is causal. This study investigated whether dementia associated with depression decreases with antidepressant use and is independent of the time between exposure to depression and the onset of dementia. We completed a 14-year longitudinal study of 4922 cognitively healthy men aged 71–89 years, and collected information about history of past depression, current depression and severity of depressive symptoms. Other measures included use of antidepressants, age, education, smoking and history of diabetes, hypertension, coronary heart disease, and stroke. The onset of dementia and death during follow-up was ascertained via the Western Australian Data Linkage System. A total of 682 men had past ( n=388) or current ( n=294) depression. During 8.9 years follow-up, 903 (18.3%) developed dementia and 1884 (38.3%) died free of dementia. The sub-hazard ratios (SHRs) of dementia for men with past and current depression were 1.3 (95% confidence interval (CI)=1.0, 1.6) and 1.5 (95% CI=1.2, 2.0). The use of antidepressants did not decrease this risk. Compared to men with no symptoms, the SHRs of dementia associated with questionable, mild-to-moderate and severe depressive symptoms were 1.2 (95% CI=1.0, 1.4), 1.7 (95% CI=1.4, 2.2) and 2.1 (95% CI=1.4, 3.2), respectively. The association between depression and dementia was only apparent during the initial 5 years of follow-up. Older men with history of depression are at increased risk of developing dementia, but depression is more likely to be a marker of incipient dementia than a truly modifiable risk factor.

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          Population-based norms for the Mini-Mental State Examination by age and educational level.

          To report the distribution of Mini-Mental State Examination (MMSE) scores by age and educational level. National Institute of Mental Health Epidemiologic Catchment Area Program surveys conducted between 1980 and 1984. Community populations in New Haven, Conn; Baltimore, Md; St Louis, Mo; Durham, NC; and Los Angeles, Calif. A total of 18,056 adult participants selected by probability sampling within census tracts and households. Summary scores for the MMSE are given in the form of mean, median, and percentile distributions specific for age and educational level. The MMSE scores were related to both age and educational level. There was an inverse relationship between MMSE scores and age, ranging from a median of 29 for those 18 to 24 years of age, to 25 for individuals 80 years of age and older. The median MMSE score was 29 for individuals with at least 9 years of schooling, 26 for those with 5 to 8 years of schooling, and 22 for those with 0 to 4 years of schooling. Cognitive performance as measured by the MMSE varies within the population by age and education. The cause of this variation has yet to be determined. Mini-Mental State Examination scores should be used to identify current cognitive difficulties and not to make formal diagnoses. The results presented should prove to be useful to clinicians who wish to compare an individual patient's MMSE scores with a population reference group and to researchers making plans for new studies in which cognitive status is a variable of interest.
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            A decade of data linkage in Western Australia: strategic design, applications and benefits of the WA data linkage system.

            The report describes the strategic design, steps to full implementation and outcomes achieved by the Western Australian Data Linkage System (WADLS), instigated in 1995 to link up to 40 years of data from over 30 collections for an historical population of 3.7 million. Staged development has seen its expansion, initially from a linkage key to local health data sets, to encompass links to national and local health and welfare data sets, genealogical links and spatial references for mapping applications. The WADLS has supported over 400 studies with over 250 journal publications and 35 graduate research degrees. Applications have occurred in health services utilisation and outcomes, aetiologic research, disease surveillance and needs analysis, and in methodologic research. Longitudinal studies have become cheaper and more complete; deletion of duplicate records and correction of data artifacts have enhanced the quality of information assets; data linkage has conserved patient privacy; community machinery necessary for organised responses to health and social problems has been exercised; and the commercial return on research infrastructure investment has exceeded 1000%. Most importantly, there have been unbiased contributions to medical knowledge and identifiable advances in population health arising from the research.
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              Trajectories of Depressive Symptoms in Older Adults and Risk of Dementia

              IMPORTANCE Depression has been identified as a risk factor for dementia. However, most studies have measured depressive symptoms at only one time point, and older adults may show different patterns of depressive symptoms over time. OBJECTIVE To investigate the association between trajectories of depressive symptoms and risk of dementia in older adults. DESIGN, SETTING, AND PARTICIPANTS This was a prospective cohort investigation of black and white community-dwelling older adults in the Health, Aging, and Body Composition study. Participants were enrolled between May 1997 and June 1998 and followed up through 2001–2002. The dates of this analysis were September 2014 to December 2015. The setting was community research centers in Memphis, Tennessee, and Pittsburgh, Pennsylvania. Trajectories of depressive symptoms were assessed from baseline to year 5. Symptoms were measured with the Center for Epidemiologic Studies Depression Scale Short Form, and trajectories were calculated using latent class growth curve analysis. MAIN OUTCOMES AND MEASURES Incident dementia through year 11, determined by dementia medication use, hospital records, or significant cognitive decline (≥1.5 SD race-specific decline on the Modified Mini-Mental State Examination). We examined the association between depressive symptom trajectories and dementia incidence using Cox proportional hazards regression models adjusted for demographics, health factors that differed between groups, and cognition during the depressive symptom assessment period (baseline to year 5). RESULTS The analytic cohort included 2488 black and white older adults with repeated depressive symptom assessments from baseline to year 5 who were free of dementia throughout that period. Their mean (SD) age at baseline was 74.0 (2.8) years, and 53.1% (n = 1322) were female. The following 3 depressive symptom trajectories were identified: consistently minimal symptoms (62.0% [n = 1542] of participants), moderate and increasing symptoms (32.2%[n = 801] of participants), and high and increasing symptoms (5.8% [n = 145] of participants). Compared with the consistently minimal trajectory, having a high and increasing depressive symptom trajectory was associated with significantly increased risk of dementia (fully adjusted hazard ratio, 1.94; 95% CI, 1.30–2.90), while the moderate and increasing trajectory was not associated with risk of dementia after full adjustment. Sensitivity analyses indicated that the high and increasing trajectory was associated with dementia incidence, while depressive symptoms at individual time points were not. CONCLUSIONS AND RELEVANCE Older adults with a longitudinal pattern of high and increasing depressive symptoms are at high risk for dementia. Individuals’ trajectory of depressive symptoms may inform dementia risk more accurately than one-time assessment of depressive symptoms.
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                Author and article information

                Journal
                Transl Psychiatry
                Transl Psychiatry
                Translational Psychiatry
                Nature Publishing Group
                2158-3188
                May 2017
                02 May 2017
                1 May 2017
                : 7
                : 5
                : e1117
                Affiliations
                [1 ]School of Psychiatry and Clinical Neurosciences, University of Western Australia , Perth, WA, Australia
                [2 ]WA Centre for Health & Ageing of Centre for Medical Research, Harry Perkins Institute of Medical Research , Perth, WA, Australia
                [3 ]Department of Psychiatry, Royal Perth Hospital and Bentley Hospital , Perth, WA, Australia
                [4 ]School of Medicine and Pharmacology, University of Western Australia , Perth, WA, Australia
                [5 ]Department of Neurology, Sir Charles Gairdner Hospital , Perth, WA, Australia
                [6 ]Department of Endocrinology, Fiona Stanley Hospital , Perth, WA, Australia
                [7 ]Queensland Research Centre for Peripheral Vascular Disease, College of Medicine and Dentistry, James Cook University , Townsville, QLD, Australia
                [8 ]Department of Vascular and Endovascular Surgery, The Townsville Hospital , Townsville, QLD, Australia
                [9 ]Department of Geriatric Medicine, Royal Perth Hospital , Perth, WA, Australia
                Author notes
                [* ]School of Psychiatry and Clinical Neurosciences (M573), University of Western Australia , 35 Stirling Highway, Crawley, Perth, WA 6009, Australia. E-mail: osvaldo.almeida@ 123456uwa.edu.au
                Article
                tp201790
                10.1038/tp.2017.90
                5534958
                28463236
                eacddbd7-ca46-4a4b-8f84-a8d10d7a24ac
                Copyright © 2017 The Author(s)

                This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/

                History
                : 21 December 2016
                : 13 February 2017
                : 16 March 2017
                Categories
                Original Article

                Clinical Psychology & Psychiatry
                Clinical Psychology & Psychiatry

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