White, J;
Kivimäki, M;
Jokela, M;
Batty, GD;
(2016)
Association of inflammation with specific symptoms of depression in a general population of older people: The English Longitudinal Study of Ageing.
Brain, Behavior, and Immunity
, 61
pp. 27-30.
10.1016/j.bbi.2016.08.012.
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Abstract
Elevated levels of inflammatory markers, such as C-reactive protein, are well documented in people with depression. Few studies have examined whether the association between inflammation and depression is symptom specific, and differs according to antidepressant treatment. Using data from the English Longitudinal Study of Ageing (N=5909), cross-sectional analyses revealed a significant dose-response association between C-reactive protein and the symptoms of fatigue (P<0.001), restless sleep (P=0.03), low energy (P=0.02) and feeling depressed (P=0.04), but not other symptoms. These associations were absent in users of anti-depressant medication. Our findings suggest the C-reactive protein-depression association is symptom-specific and modified by antidepressant treatment.
Type: | Article |
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Title: | Association of inflammation with specific symptoms of depression in a general population of older people: The English Longitudinal Study of Ageing |
Location: | Netherlands |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.bbi.2016.08.012 |
Publisher version: | http://dx.doi.org/10.1016/j.bbi.2016.08.012 |
Language: | English |
Additional information: | © 2016 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/). |
Keywords: | Antidepressants, C-reactive protein, Depression |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Epidemiology and Public Health |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/1516834 |
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