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      Joint effect of cognitive decline and walking ability on incidence of wandering behavior in older adults with dementia: A cohort study

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          Abstract

          Objectives

          Wandering behavior is one of the most troublesome behavioral disturbances in dementia. Inconsistent associations between physical function and wandering behavior were reported, and the effect of cognitive decline may be different according to walking ability. The purposes of this study are to investigate whether high walking ability is a risk factor for wandering behavior and to investigate the interaction of walking ability and cognitive function with wandering behavior in older adults with dementia.

          Methods

          This retrospective cohort study included 3979 elderly adults with dementia. The association of cognitive function and walking ability with incidence of wandering behavior during a 5‐year follow‐up period were examined using a generalized linear model, and relative excess risk due to interaction (RERI) was calculated.

          Results

          Severe cognitive decline and high walking ability were associated with a higher risk for wandering behavior. Additionally, some joint effects of cognitive decline and walking ability decline were higher than the sum of its individual effects (RERI [95% confidence interval], severe cognitive decline × ‘walk with help’: 1.58 [0.35, 2.81]; severe cognitive decline × ‘independent’: 3.09 [1.05, 5.14]).

          Conclusions

          Effects of cognitive decline and walking ability on incidence of wandering behavior were observed, and the effects varied depending on their combination.

          Key points

          • Previous studies reported inconsistent results of associations between physical function and wandering behavior, and the effect of cognitive decline may be different according to walking ability.

          • This study investigated whether high walking ability is a risk factor for wandering behavior and whether there is an interaction of walking ability and cognitive function with wandering behavior in older adults with dementia.

          • Our results clearly showed patients with high physical function are likely to develop wandering behavior.

          • Our results showed that additive interaction between high walking ability and severe cognitive decline on risk for wandering behavior.

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          Most cited references30

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          The global prevalence of dementia: a systematic review and metaanalysis.

          The evidence base on the prevalence of dementia is expanding rapidly, particularly in countries with low and middle incomes. A reappraisal of global prevalence and numbers is due, given the significant implications for social and public policy and planning. In this study we provide a systematic review of the global literature on the prevalence of dementia (1980-2009) and metaanalysis to estimate the prevalence and numbers of those affected, aged ≥60 years in 21 Global Burden of Disease regions. Age-standardized prevalence for those aged ≥60 years varied in a narrow band, 5%-7% in most world regions, with a higher prevalence in Latin America (8.5%), and a distinctively lower prevalence in the four sub-Saharan African regions (2%-4%). It was estimated that 35.6 million people lived with dementia worldwide in 2010, with numbers expected to almost double every 20 years, to 65.7 million in 2030 and 115.4 million in 2050. In 2010, 58% of all people with dementia lived in countries with low or middle incomes, with this proportion anticipated to rise to 63% in 2030 and 71% in 2050. The detailed estimates in this study constitute the best current basis for policymaking, planning, and allocation of health and welfare resources in dementia care. The age-specific prevalence of dementia varies little between world regions, and may converge further. Future projections of numbers of people with dementia may be modified substantially by preventive interventions (lowering incidence), improvements in treatment and care (prolonging survival), and disease-modifying interventions (preventing or slowing progression). All countries need to commission nationally representative surveys that are repeated regularly to monitor trends. Copyright © 2013 The Alzheimer's Association. Published by Elsevier Inc. All rights reserved.
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            Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement.

            Prediction models are developed to aid health care providers in estimating the probability or risk that a specific disease or condition is present (diagnostic models) or that a specific event will occur in the future (prognostic models), to inform their decision making. However, the overwhelming evidence shows that the quality of reporting of prediction model studies is poor. Only with full and clear reporting of information on all aspects of a prediction model can risk of bias and potential usefulness of prediction models be adequately assessed. The Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) Initiative developed a set of recommendations for the reporting of studies developing, validating, or updating a prediction model, whether for diagnostic or prognostic purposes. This article describes how the TRIPOD Statement was developed. An extensive list of items based on a review of the literature was created, which was reduced after a Web-based survey and revised during a 3-day meeting in June 2011 with methodologists, health care professionals, and journal editors. The list was refined during several meetings of the steering group and in e-mail discussions with the wider group of TRIPOD contributors. The resulting TRIPOD Statement is a checklist of 22 items, deemed essential for transparent reporting of a prediction model study. The TRIPOD Statement aims to improve the transparency of the reporting of a prediction model study regardless of the study methods used. The TRIPOD Statement is best used in conjunction with the TRIPOD explanation and elaboration document. To aid the editorial process and readers of prediction model studies, it is recommended that authors include a completed checklist in their submission (also available at www.tripod-statement.org).
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              mice: Multivariate imputation by chained equations in R

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                International Journal of Geriatric Psychiatry
                Int J Geriat Psychiatry
                Wiley
                0885-6230
                1099-1166
                May 2022
                April 22 2022
                May 2022
                : 37
                : 5
                Affiliations
                [1 ] Department of Preventive Medicine and Epidemiology National Cerebral and Cardiovascular Center Research Institute Suita Osaka Japan
                [2 ] Department of Public Health Kobe University Graduate School of Health Sciences Kobe Hyogo Japan
                [3 ] Japan Society for the Promotion of Science Chiyoda Tokyo Japan
                [4 ] Director General National Cerebral and Cardiovascular Center Hospital Suita Osaka Japan
                Article
                10.1002/gps.5714
                b5560bbe-80b5-45b5-a940-1fe0d5b664d7
                © 2022

                http://onlinelibrary.wiley.com/termsAndConditions#vor

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