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A Systematic Review of Meta-Analyses that Evaluate Risk Factors for Dementia to Evaluate the Quantity, Quality, and Global Representativeness of Evidence

Lookup NU author(s): Emerita Professor Carol Jagger

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).


Abstract

© 2019-IOS Press and the authors. All rights reserved.Background: The translation of evidence on dementia risk factors into clinical advice requires careful evaluation of the methodology and scope of data from which risk estimates are obtained. Objective: To evaluate the quantity, quality, and representativeness of evidence, we conducted a review of reviews of risk factors for Alzheimer's disease (AD), Vascular dementia (VaD), and Any Dementia. Methods: PubMed, Cochrane library, and the Global Index Medicus were searched to identify meta-Analyses of observational studies of risk factors for AD, VaD, and Any Dementia. PROSPERO CRD42017053920. Results: Meta-Analysis data were available for 34 risk factors for AD, 26 risk factors for Any Dementia and eight for VaD. Quality of evidence varied greatly in terms of the number of contributing studies, whether data on midlife exposure was available, and consistency of measures. The most evidence was available for cardiovascular risk factors. The most geographically representative evidence (five of six global regions) was available for alcohol, physical activity, diabetes, high midlife BMI, antihypertensives, and motor function. Evidence from Australia/Oceana or Africa was limited. With the exception of diabetes, meta-Analysis data were unavailable from Latin America/Caribbean. Midlife specific data were only available for cholesterol and arthritis. Conclusion: There is a lack of midlife specific data, limited data on VaD, and a lack of geographical representation for many risk factors for dementia. The quality, quantity, and representativeness of evidence needs to be considered before recommendations are made about the relevance of risk factors in mid-or late-life or for dementia subtypes.


Publication metadata

Author(s): Anstey KJ, Ee N, Eramudugolla R, Jagger C, Peters R

Publication type: Review

Publication status: Published

Journal: Journal of Alzheimer's Disease

Year: 2019

Volume: 70

Issue: s1

Pages: S165-S186

Online publication date: 13/08/2019

Acceptance date: 20/05/2019

ISSN (print): 1387-2877

ISSN (electronic): 1875-8908

Publisher: IOS Press

URL: https://doi.org/10.3233/JAD-190181

DOI: 10.3233/JAD-190181

PubMed id: 31306123


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