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      Increased risk of dementia in the aftermath of the 2011 Great East Japan Earthquake and Tsunami

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          Recovery after major disaster poses potential risks of dementia for the elderly population. However, no previous studies have examined exposure to natural disaster and changes in risk factors as predictors of deterioration in cognitive function. We prospectively examined whether housing damage and loss of relatives or friends were associated with cognitive decline in the aftermath of the 2011 Great East Japan Earthquake and Tsunami. In this study, which included 3,566 survivors who are 65 y old or older, the severity of housing damage was significantly associated with cognitive decline after controlling changes of covariates and risk factors during the follow-up period. The cognitive decline should be listed as a health risk of older survivors in the aftermath of natural disasters.

          Abstract

          No previous study has been able to examine the association by taking account of risk factors for dementia before and after the disaster. We prospectively examined whether experiences of a disaster were associated with cognitive decline in the aftermath of the 2011 Great East Japan Earthquake and Tsunami. The baseline for our natural experiment was established in a survey of older community-dwelling adults who lived 80 km west of the epicenter 7 mo before the earthquake and tsunami. Approximately 2.5 y after the disaster, the follow-up survey gathered information about personal experiences of disaster as well as incidence of dementia from 3,594 survivors (82.1% follow-up rate). Our primary outcome was dementia diagnosis ascertained by in-home assessment during the follow-up period. Among our analytic sample ( n = 3,566), 38.0% reported losing relatives or friends in the disaster, and 58.9% reported property damage. Fixed-effects regression indicated that major housing damage and home destroyed were associated with cognitive decline: regression coefficient for levels of dementia symptoms = 0.12, 95% confidence interval (CI): 0.01 to 0.23 and coefficient = 0.29, 95% CI: 0.17 to 0.40, respectively. The effect size of destroyed home is comparable to the impact of incident stroke (coefficient = 0.24, 95% CI: 0.11 to 0.36). The association between housing damage and cognitive decline remained statistically significant in the instrumental variable analysis. Housing damage appears to be an important risk factor for cognitive decline among older survivors in natural disasters.

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          Population ageing and wellbeing: lessons from Japan's long-term care insurance policy.

          Japan's population is ageing rapidly because of long life expectancy and a low birth rate, while traditional supports for elderly people are eroding. In response, the Japanese Government initiated mandatory public long-term care insurance (LTCI) in 2000, to help older people to lead more independent lives and to relieve the burdens of family carers. LTCI operates on social insurance principles, with benefits provided irrespective of income or family situation; it is unusually generous in terms of both coverage and benefits. Only services are provided, not cash allowances, and recipients can choose their services and providers. Analysis of national survey data before and after the programme started shows increased use of formal care at lower cost to households, with mixed results for the wellbeing of carers. Challenges to the success of the system include dissatisfaction with home-based care, provision of necessary support for family carers, and fiscal sustainability. Japan's strategy for long-term care could offer lessons for other nations. Copyright © 2011 Elsevier Ltd. All rights reserved.
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            Current Developments in Dementia Risk Prediction Modelling: An Updated Systematic Review

            Background Accurate identification of individuals at high risk of dementia influences clinical care, inclusion criteria for clinical trials and development of preventative strategies. Numerous models have been developed for predicting dementia. To evaluate these models we undertook a systematic review in 2010 and updated this in 2014 due to the increase in research published in this area. Here we include a critique of the variables selected for inclusion and an assessment of model prognostic performance. Methods Our previous systematic review was updated with a search from January 2009 to March 2014 in electronic databases (MEDLINE, Embase, Scopus, Web of Science). Articles examining risk of dementia in non-demented individuals and including measures of sensitivity, specificity or the area under the curve (AUC) or c-statistic were included. Findings In total, 1,234 articles were identified from the search; 21 articles met inclusion criteria. New developments in dementia risk prediction include the testing of non-APOE genes, use of non-traditional dementia risk factors, incorporation of diet, physical function and ethnicity, and model development in specific subgroups of the population including individuals with diabetes and those with different educational levels. Four models have been externally validated. Three studies considered time or cost implications of computing the model. Interpretation There is no one model that is recommended for dementia risk prediction in population-based settings. Further, it is unlikely that one model will fit all. Consideration of the optimal features of new models should focus on methodology (setting/sample, model development and testing in a replication cohort) and the acceptability and cost of attaining the risk variables included in the prediction score. Further work is required to validate existing models or develop new ones in different populations as well as determine the ethical implications of dementia risk prediction, before applying the particular models in population or clinical settings.
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              A systematic review of the public's knowledge and understanding of Alzheimer's disease and dementia.

              This paper reports findings from a systematic review of the literature on the general public's knowledge and understanding of dementia/Alzheimer's disease. The key purpose of the review was to evaluate existing literature with specific attention paid to conceptual and methodological issues and to key findings. Over a 20-year period, 40 published articles satisfied the inclusion criteria. Only 4 of these were qualitative and 5 were cross-national. The review revealed a lack of consistency across studies regarding how knowledge was operationalized, approaches to sampling, response rates, and data collection instruments used including validated scales. A consistent finding across the vast majority of studies was the only fair to moderate knowledge and understanding the general public had. The most common misconception was that dementia was a normal part of aging and there was a lack of clarity about at which point normal age-related memory loss problems become severe enough to indicate dementia. Knowledge of dementia was found to be particularly poor among racial and ethnic minority groups where several myths about causes of dementia were found. Findings point to the need for more educational and advocacy programmes on dementia to be developed particularly in low-income to middle-income countries.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc. Natl. Acad. Sci. U.S.A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                8 November 2016
                24 October 2016
                : 113
                : 45
                : E6911-E6918
                Affiliations
                [1] aDepartment of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health , Boston, MA 02115;
                [2] bDepartment of International and Community Oral Health, Tohoku University Graduate School of Dentistry , Sendai, Miyagi 980-8575, Japan;
                [3] cCenter for Preventive Medical Sciences, Chiba University , Chiba-shi, Chiba 260-8670, Japan;
                [4] dCenter for Gerontology and Social Science, National Center for Geriatrics and Gerontology , Obu, Aichi 474-8511, Japan
                Author notes
                1To whom correspondence should be addressed. Email: hikichi@ 123456hsph.harvard.edu .

                Edited by Susan T. Fiske, Princeton University, Princeton, NJ, and approved September 16, 2016 (received for review May 15, 2016)

                Author contributions: H.H. and I.K. designed research; H.H., J.A., K.K., T.T., Y.M., S.V.S., and I.K. performed research; H.H. analyzed data; and H.H., J.A., K.K., T.T., Y.M., S.V.S., and I.K. wrote the paper.

                Author information
                http://orcid.org/0000-0002-7791-464X
                Article
                PMC5111665 PMC5111665 5111665 201607793
                10.1073/pnas.1607793113
                5111665
                27791093
                69650f7b-0872-452a-b66f-690c70f7d11d
                History
                Page count
                Pages: 8
                Funding
                Funded by: HHS | National Institutes of Health (NIH) 100000002
                Award ID: R01 AG042463
                Funded by: Japan Society for the Promotion of Science (JSPS) 501100001691
                Award ID: 23243070
                Funded by: Japan Society for the Promotion of Science (JSPS) 501100001691
                Award ID: 24390469
                Funded by: Japan Society for the Promotion of Science (JSPS) 501100001691
                Award ID: 22390400
                Categories
                PNAS Plus
                Social Sciences
                Psychological and Cognitive Sciences
                PNAS Plus

                natural experiment,dementia,disaster,Japan,instrumental variable analysis

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