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Cross-sectional and prospective inter-relationships between depressive symptoms, vascular disease and cognition in older adults

Published online by Cambridge University Press:  29 October 2018

Louise Mewton*
Affiliation:
Centre of Research Excellence in Mental Health and Substance Use, National Drug and Alcohol Research Centre, University of New South Wales, Sydney, Australia
Simone Reppermund
Affiliation:
Centre for Healthy Brain Ageing, School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, Australia Department of Developmental Disability Neuropsychiatry, UNSW Medicine, University of New South Wales, Sydney
John Crawford
Affiliation:
Centre for Healthy Brain Ageing, School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, Australia
David Bunce
Affiliation:
Centre for Healthy Brain Ageing, School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, Australia Faculty of Medicine and Health, School of Psychology, University of Leeds, Leeds, UK
Wei Wen
Affiliation:
Centre for Healthy Brain Ageing, School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, Australia Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, Australia
Perminder Sachdev
Affiliation:
Centre for Healthy Brain Ageing, School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, Australia Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, Australia
*
Author for correspondence: Louise Mewton, E-mail: [email protected], [email protected]

Abstract

Background

It has been proposed that vascular disease is the mechanism linking depression and cognition, but prospective studies have not supported this hypothesis. This study aims to investigate the inter-relationships between depressive symptoms, cognition and cerebrovascular disease using a well-characterised prospective cohort.

Method

Data came from waves 1 (2005–2007) and 2 (2007–2009) of the Sydney Memory and Ageing Study (n = 462; mean age = 78.3 years).

Results

At wave 1, there was an association between depressive symptoms and white matter hyperintensity (WMH) volume [b = 0.016, t(414) = 2.34, p = 0.020]. Both depressive symptoms [b = −0.058, t(413) = −2.64, p = 0.009] and WMH volume [b = −0.011, t(413) = −3.77, p < 0.001], but not stroke/transient ischaemic attack (TIA) [b = −0.328, t(413) = −1.90, p = 0.058], were independently associated with lower cognition. Prospectively, cerebrovascular disease was not found to predict increasing depressive symptoms [stroke/TIA: b = −0.349, t(374.7) = −0.76, p = 0.448; WMH volume: b = 0.007, t(376.3) = 0.875, p = 0.382]. Depressive symptoms predicted increasing WMH severity [b = 0.012, t(265.9) = −3.291, p = 0.001], but not incident stroke/TIA (odds ratio = 0.995; CI 0.949–1.043; p = 0.820). When examined in separate models, depressive symptoms [b = −0.027, t(373.5) = −2.16, p = 0.032] and a history of stroke/TIA [b = −0.460, t(361.2) = −4.45, p < 0.001], but not WMH volume [b = 0.001, t(362.3) = −0.520, p = 0.603], predicted declines in cognition. When investigated in a combined model, a history of stroke/TIA remained a predictor of cognitive decline [b = −0.443, t(360.6) = −4.28, p < 0.001], whilst depressive symptoms did not [b = −0.012, t(359.7) = −0.96, p = 0.336].

Conclusions

This study is contrasted with previous prospective studies which indicate that depressive symptoms predict cognitive decline independently of vascular disease. Future research should focus on further exploring the vascular mechanisms underpinning the relationship between depressive symptoms and cognition.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2018 

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