Journal
FRONTIERS IN BEHAVIORAL NEUROSCIENCE
Volume 16, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fnbeh.2022.988621
Keywords
depression; mild cognitive impairment; prevention; cognitive decline; epidemiology
Categories
Funding
- German Research Council (DFG)
- German Ministry of Education and Science (BMBF) [EI 969/2-3, ER 155/6-1, 6-2, HO 3314/2-1, 2-2, 2-3, 4-3, INST 58219/32-1, JO 170/8-1, KN 885/3-1, PE 2309/2-1, SI 236/8-1, 9-1, 10-1]
- Ministry of Innovation, Science, Research and Technology, North Rhine-Westphalia (MIWFT-NRW) [01EG0401, 01GI0856, 01GI0860, 01GS0820_WB2-C, 01ER1001D, 01GI0205]
- Else Kroener-Fresenius-Stiftung
- German Social Accident Insurance [2015_A119]
- Competence Network for HIV/AIDS [FF-FP295]
- IFORES of the University Duisburg-Essen
- European Union
- German Competence Network Heart Failure
- Kulturstiftung Essen
- Protein Research Unit within Europe (PURE)
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The study showed that depressive symptoms and fluctuations in depressive symptoms were associated with an increased risk of mild cognitive impairment (MCI) in cognitively unimpaired individuals, suggesting that proper treatment of depression could help maintain normal cognition and delay the onset of dementia.
BackgroundDepression might be an independent risk factor for cognitive decline, a prodromal dementia symptom or a reaction to cognitive/functional impairment. ObjectiveTo investigate the association between (1) depressive symptoms and (2) depressive symptom patterns over 13 years with incident mild cognitive impairment (MCI) 5 years later. Materials and methodsWe included 724/823 cognitively unimpaired men/women who participated in the population-based Heinz Nixdorf Recall study (t1: 2005-2008, o62.9 years; t2: 2010-2015, o68.1 years). Depressive symptoms were assessed in the study center and during six postal follow-ups using the short form of the Center for Epidemiologic Studies Depression Scale (CES-D). Relative risks (RR; 95% confidence intervals) for MCI at t2 (men/women: 71/76) were estimated for CES-D at t1 (linear and dichotomized at >= 17, cut-off for clinically relevant depressive symptoms) and CES-D fluctuations over 13 years (stable low, large fluctuations, stable high/stable around cut-off) using log-linear regression models with Poisson working likelihood adjusted for age, sex, education, diabetes mellitus, coronary heart disease, and stroke. ResultsFully adjusted risk for MCI at t2 (per CES-D point increase at t1) was elevated for the total cohort (1.053, 1.031-1.076), men (1.046, 1.012-1.081), and women (1.059, 1.029-1.090). Applying the dichotomized CES-D, risk for MCI was substantially increased for the total cohort [2.22 (1.38-3.58)] and in women [2.59 (1.46-4.58)]. Large CES-D fluctuations and stable high/stable around cut-off were associated with increased RR for MCI in the total cohort and in women compared to stable low symptoms. ConclusionDepressive symptoms predicted MCI in cognitively unimpaired participants of our population-based study. Adequate treatment of depression may therefore contribute to the maintenance of normal cognition and delay dementia onset.
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