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      Modifiable Risk Factors Explain Socioeconomic Inequalities in Dementia Risk: Evidence from a Population-Based Prospective Cohort Study

      research-article
      a , * , b , a , a , b , c , a
      Journal of Alzheimer's Disease
      IOS Press
      Aging, cohort study, dementia, epidemiology, health inequalities, lifestyle, mediation, prevention, public health, risk factors, socioeconomic status

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          Abstract

          Background:

          Differences in dementia risk across the gradient of socioeconomic status (SES) exist, but their determinants are not well understood.

          Objective:

          This study investigates whether health conditions and lifestyle-related risk factors explain the SES inequalities in dementia risk.

          Methods:

          6,346 participants from the English Longitudinal Study of Ageing were followed up from 2008/2009 until 2014/2015. We used Cox regression adjusted for age, gender, wealth/education, and clustering at the household level to examine the association between SES markers (wealth, education) and time to dementia in a structural equation model including potential mediation or effect modification by a weighted compound score of twelve modifiable risk and protective factors for dementia (‘LIfestyle for BRAin health’ (LIBRA) score).

          Results:

          During a median follow-up of 6 years, 192 individuals (3.0%) developed dementia. LIBRA scores decreased with increasing wealth and higher educational level. A one-point increase in the LIBRA score was associated with a 13% increase in dementia risk (hazard ratio (HR) = 1.13, 95% confidence interval 1.07–1.19). Higher wealth was associated with a decreased dementia risk (HR = 0.58, 0.39–0.85). Mediation analysis showed that 52% of the risk difference between the highest and lowest wealth tertile was mediated by differences in LIBRA (indirect effect: HR = 0.75, 0.66–0.85). Education was not directly associated with dementia (HR = 1.05, 0.69–1.59), but was a distal risk factor for dementia by explaining differences in wealth and LIBRA scores (indirect effect high education: HR = 0.92, 0.88–0.95).

          Conclusion:

          Socioeconomic differences in dementia risk can be partly explained by differences in modifiable health conditions and lifestyle factors.

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          Most cited references54

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          Dementia prevention, intervention, and care

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            Multiple imputation using chained equations: Issues and guidance for practice

            Multiple imputation by chained equations is a flexible and practical approach to handling missing data. We describe the principles of the method and show how to impute categorical and quantitative variables, including skewed variables. We give guidance on how to specify the imputation model and how many imputations are needed. We describe the practical analysis of multiply imputed data, including model building and model checking. We stress the limitations of the method and discuss the possible pitfalls. We illustrate the ideas using a data set in mental health, giving Stata code fragments. 2010 John Wiley & Sons, Ltd.
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              Low health literacy and health outcomes: an updated systematic review.

              Approximately 80 million Americans have limited health literacy, which puts them at greater risk for poorer access to care and poorer health outcomes. To update a 2004 systematic review and determine whether low health literacy is related to poorer use of health care, outcomes, costs, and disparities in health outcomes among persons of all ages. English-language articles identified through MEDLINE, CINAHL, PsycINFO, ERIC, and Cochrane Library databases and hand-searching (search dates for articles on health literacy, 2003 to 22 February 2011; for articles on numeracy, 1966 to 22 February 2011). Two reviewers independently selected studies that compared outcomes by differences in directly measured health literacy or numeracy levels. One reviewer abstracted article information into evidence tables; a second reviewer checked information for accuracy. Two reviewers independently rated study quality by using predefined criteria, and the investigative team jointly graded the overall strength of evidence. 96 relevant good- or fair-quality studies in 111 articles were identified: 98 articles on health literacy, 22 on numeracy, and 9 on both. Low health literacy was consistently associated with more hospitalizations; greater use of emergency care; lower receipt of mammography screening and influenza vaccine; poorer ability to demonstrate taking medications appropriately; poorer ability to interpret labels and health messages; and, among elderly persons, poorer overall health status and higher mortality rates. Poor health literacy partially explains racial disparities in some outcomes. Reviewers could not reach firm conclusions about the relationship between numeracy and health outcomes because of few studies or inconsistent results among studies. Searches were limited to articles published in English. No Medical Subject Heading terms exist for identifying relevant studies. No evidence concerning oral health literacy (speaking and listening skills) and outcomes was found. Low health literacy is associated with poorer health outcomes and poorer use of health care services. Agency for Healthcare Research and Quality.
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                Author and article information

                Journal
                J Alzheimers Dis
                J. Alzheimers Dis
                JAD
                Journal of Alzheimer's Disease
                IOS Press (Nieuwe Hemweg 6B, 1013 BG Amsterdam, The Netherlands )
                1387-2877
                1875-8908
                14 August 2019
                17 September 2019
                2019
                : 71
                : 2
                : 549-557
                Affiliations
                [a ]Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University , Maastricht, the Netherlands
                [b ] Department of Behavioural Science and Health, University College London , London, UK
                [c ] Department of Epidemiology and Public Health, University College London , London, UK
                Author notes
                [* ]Correspondence to: Kay Deckers, PhD, Alzheimer Centrum Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, P.O. Box 616, 6200 MD Maastricht, the Netherlands. Tel.: +31 43 3884104; Fax: +31 43 3884092; E-mail: kay.deckers@ 123456maastrichtuniversity.nl
                Article
                JAD190541
                10.3233/JAD-190541
                6839472
                31424404
                92336fb6-8abb-4ff4-8298-6e970d77f863
                © 2019 – IOS Press and the authors. All rights reserved

                This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 9 July 2019
                Categories
                Research Article

                aging,cohort study,dementia,epidemiology,health inequalities,lifestyle,mediation,prevention,public health,risk factors,socioeconomic status

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