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      Potentially modifiable lifestyle factors, cognitive reserve, and cognitive function in later life: A cross-sectional study

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          Abstract

          Background

          Potentially modifiable lifestyle factors may influence cognitive health in later life and offer potential to reduce the risk of cognitive decline and dementia. The concept of cognitive reserve has been proposed as a mechanism to explain individual differences in rates of cognitive decline, but its potential role as a mediating pathway has seldom been explored using data from large epidemiological studies. We explored the mediating effect of cognitive reserve on the cross-sectional association between lifestyle factors and cognitive function in later life using data from a population-based cohort of healthy older people.

          Methods and findings

          We analysed data from 2,315 cognitively healthy participants aged 65 y and over in the Cognitive Function and Ageing Study Wales (CFAS-Wales) cohort collected in 2011–2013. Linear regression modelling was used to investigate the overall associations between five lifestyle factors—cognitive and social activity, physical activity, diet, alcohol consumption, and smoking—and cognition, adjusting for demographic factors and chronic conditions. Mediation analysis tested for indirect effects of the lifestyle factors on cognition via cognitive reserve. After controlling for age, gender, and the presence of chronic conditions, cognitive and social activity, physical activity, healthy diet, and light-to-moderate alcohol consumption were positively associated with cognitive function, together accounting for 20% (95% CI 17%–23%) of variance in cognitive test scores. Cognitive reserve was an important mediator of this association, with indirect effects via cognitive reserve contributing 21% (95% CI 15%–27%) of the overall effect on cognition. The main limitations of the study derive from the cross-sectional nature of the data and the challenges of accurately measuring the latent construct of cognitive reserve.

          Conclusions

          Cross-sectional associations support the view that enhancing cognitive reserve may benefit cognition, and maintenance of cognitive health may be supported by a healthy and active lifestyle, in later life.

          Abstract

          In a cross-sectional study, Linda Clare and colleagues investigate whether healthy lifestyle choices are associated with better cognitive function later in life.

          Author summary

          Why was this study done?
          • Individual differences in lifestyle factors such as physical activity or diet may be related to differences in mental fitness in later life.

          • Differences in the extent to which mental fitness declines in later life are thought to arise because some people’s earlier experiences (for example, staying on for further education or playing a leadership role in a job) make their brains more resilient to changes resulting from age or illness—they have higher “cognitive reserve.”

          • We wanted to find out whether the concept of cognitive reserve explains how lifestyle influences mental fitness.

          What did the researchers do and find?
          • We used data from 2,315 mentally fit participants aged over 65 y who took part in the first wave of interviews for the Cognitive Function and Ageing Study Wales (CFAS-Wales).

          • Our statistical analyses examined whether a healthy lifestyle (a healthy diet, more physical activity, more social and mentally stimulating activity, moderate alcohol consumption, and refraining from smoking), adjusted to take account of age, gender, and whether people had long-term health conditions, was associated with performance on a test of mental ability.

          • When we found an association, we then investigated whether this association was explained by the level of cognitive reserve.

          • We found that people with a healthier lifestyle had better mental fitness, and this was partly accounted for by their level of cognitive reserve.

          What do these findings mean?
          • These results highlight the importance of policies and interventions that encourage older people to make changes in their diet, exercise more, and engage in more socially oriented and mentally stimulating activities.

          • Earlier life experiences build cognitive reserve, which helps to maintain mental fitness in later life, so access to education and opportunities to develop skills in the workplace are important in developing this resilience.

          • The main limitation of this study is that we used data collected at only one time point, which means that we cannot draw any conclusions about causes or trajectories—we can only say for sure that lifestyle and mental fitness are related.

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          Most cited references46

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          Reconsidering Baron and Kenny: Myths and Truths about Mediation Analysis

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            SPSS and SAS procedures for estimating indirect effects in simple mediation models

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              Potential for primary prevention of Alzheimer's disease: an analysis of population-based data.

              Recent estimates suggesting that over half of Alzheimer's disease burden worldwide might be attributed to potentially modifiable risk factors do not take into account risk-factor non-independence. We aimed to provide specific estimates of preventive potential by accounting for the association between risk factors. Using relative risks from existing meta-analyses, we estimated the population-attributable risk (PAR) of Alzheimer's disease worldwide and in the USA, Europe, and the UK for seven potentially modifiable risk factors that have consistent evidence of an association with the disease (diabetes, midlife hypertension, midlife obesity, physical inactivity, depression, smoking, and low educational attainment). The combined PAR associated with the risk factors was calculated using data from the Health Survey for England 2006 to estimate and adjust for the association between risk factors. The potential of risk factor reduction was assessed by examining the combined effect of relative reductions of 10% and 20% per decade for each of the seven risk factors on projections for Alzheimer's disease cases to 2050. Worldwide, the highest estimated PAR was for low educational attainment (19·1%, 95% CI 12·3-25·6). The highest estimated PAR was for physical inactivity in the USA (21·0%, 95% CI 5·8-36·6), Europe (20·3%, 5·6-35·6), and the UK (21·8%, 6·1-37·7). Assuming independence, the combined worldwide PAR for the seven risk factors was 49·4% (95% CI 25·7-68·4), which equates to 16·8 million attributable cases (95% CI 8·7-23·2 million) of 33·9 million cases. However, after adjustment for the association between the risk factors, the estimate reduced to 28·2% (95% CI 14·2-41·5), which equates to 9·6 million attributable cases (95% CI 4·8-14·1 million) of 33·9 million cases. Combined PAR estimates were about 30% for the USA, Europe, and the UK. Assuming a causal relation and intervention at the correct age for prevention, relative reductions of 10% per decade in the prevalence of each of the seven risk factors could reduce the prevalence of Alzheimer's disease in 2050 by 8·3% worldwide. After accounting for non-independence between risk factors, around a third of Alzheimer's diseases cases worldwide might be attributable to potentially modifiable risk factors. Alzheimer's disease incidence might be reduced through improved access to education and use of effective methods targeted at reducing the prevalence of vascular risk factors (eg, physical inactivity, smoking, midlife hypertension, midlife obesity, and diabetes) and depression. National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care for Cambridgeshire and Peterborough. Copyright © 2014 Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                21 March 2017
                March 2017
                : 14
                : 3
                : e1002259
                Affiliations
                [1 ]Centre for Research in Ageing and Cognitive Health (REACH), School of Psychology, University of Exeter, Exeter, United Kingdom
                [2 ]PenCLAHRC, Institute of Health Research, University of Exeter Medical School, Exeter, United Kingdom
                [3 ]Centre for Research Excellence in Promoting Cognitive Health, Australian National University, Canberra, Australia
                [4 ]Dementia Services Development Centre Wales, School of Healthcare Sciences, Bangor University, Bangor, United Kingdom
                [5 ]Institute of Health and Society, Faculty of Medicine, Newcastle University, Newcastle, United Kingdom
                [6 ]MRC Biostatistics Unit, Institute of Public Health, University of Cambridge, Cambridge, United Kingdom
                [7 ]Institute of Public Health, University of Cambridge, Cambridge, United Kingdom
                University of California San Francisco Memory and Aging Center, UNITED STATES
                Author notes

                CB is a member of the Editorial Board of PLOS Medicine and served as guest editor on PLOS Medicine’s Special Issue on Dementia. FM is a paid statistical advisor for PLOS Medicine and serves on the journal's editorial board.

                • Conceptualization: LC BW FM CB CM YTW JCT.

                • Data curation: FM YTW.

                • Formal analysis: YTW.

                • Funding acquisition: BW CB FM.

                • Investigation: BW CM CB FM LC JCT.

                • Methodology: YTW FM CB BW LC.

                • Project administration: BW CB.

                • Resources: BW.

                • Supervision: BW CB LC.

                • Validation: FM YTW.

                • Visualization: YTW JCT LC.

                • Writing – original draft: LC YTW JCT.

                • Writing – review & editing: LC YTW JCT CM FM CB BW.

                ¶ Membership of the CFAS-Wales study team is listed in the Acknowledgments

                Author information
                http://orcid.org/0000-0003-3989-5318
                http://orcid.org/0000-0003-1403-6779
                http://orcid.org/0000-0002-9314-7380
                http://orcid.org/0000-0002-1728-2388
                http://orcid.org/0000-0001-5307-663X
                http://orcid.org/0000-0002-6781-651X
                Article
                PMEDICINE-D-16-02977
                10.1371/journal.pmed.1002259
                5360216
                28323829
                a584ba99-3b0c-4cfa-b603-38724f5e9300
                © 2017 Clare et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 15 September 2016
                : 10 February 2017
                Page count
                Figures: 2, Tables: 3, Pages: 14
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100000269, Economic and Social Research Council;
                Award ID: RES-060-25-0060
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000265, Medical Research Council;
                Award ID: U105292687
                Award Recipient :
                The CFAS-Wales study was supported by Economic and Social Research Council grant RES-060-25-0060 to BW (principal investigator), CB, LC, and colleagues K. Bennett, V. Burholt, C. McCracken, J. Phillips, and G. Windle. FM is supported by Medical Research Council grant U105292687. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognitive Neuroscience
                Cognitive Neurology
                Cognitive Impairment
                Biology and Life Sciences
                Neuroscience
                Cognitive Neuroscience
                Cognitive Neurology
                Cognitive Impairment
                Medicine and Health Sciences
                Neurology
                Cognitive Neurology
                Cognitive Impairment
                Biology and Life Sciences
                Nutrition
                Diet
                Alcohol Consumption
                Medicine and Health Sciences
                Nutrition
                Diet
                Alcohol Consumption
                Biology and Life Sciences
                Nutrition
                Diet
                Medicine and Health Sciences
                Nutrition
                Diet
                Medicine and Health Sciences
                Public and Occupational Health
                Physical Activity
                Medicine and Health Sciences
                Public and Occupational Health
                Behavioral and Social Aspects of Health
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognition
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Dementia
                Medicine and Health Sciences
                Neurology
                Dementia
                People and Places
                Population Groupings
                Age Groups
                Elderly
                Custom metadata
                The data from CFAS Wales are deposited with, and available from, the CFAS Collaboration Data Archive, Institute of Public Health, Forvie Site, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge CB2 0SR. 01223 330312 Contact: Linda Barnes, National Co-ordinator, leb22@ 123456medschl.cam.ac.uk .

                Medicine
                Medicine

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