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      Prevalence and Predictors of Mild Cognitive Impairment in Xi’an: A Community-Based Study among the Elders

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          Abstract

          Mild cognitive impairment (MCI) is an intermediate stage between normal cognitive function and dementia among aging individuals. This study was designed to estimate the prevalence of MCI and explore the possible risk factors including gender disparities among community-dwelling older individuals. The study was conducted in Xi’an, China. This is a cross-sectional study. A total of 815 individuals, 60 years and older were selected by stratified random cluster sampling. Cognitive function was measured using the mini-mental status examination (MMSE), the Chinese version of the Dementia Rating Scales (CDRS) was used to apply the diagnostic of non-dementia, and activities of daily living (ADL) and instrumental activities of daily living (IADL) systems were used to functional status. The association between sociodemographic characteristics, lifestyle, history of chronic diseases and MCI were evaluated separately for men and women using the Pearson χ 2- test and binary logistic regression. Of the 815 community-dwelling individuals, 145 were found to have MCI. Overall, the prevalence of MCI was 18.5%, with a prevalence of 19.6% in women (105/535), and 15.3% (40/261) in men. The results of the binary logistical regression analysis indicated that age and history of stroke were associated with MCI in men. For women, the risk factors were lower level of educational and lack of religious attendance. Results suggested that the factors capable of influencing MCI differed profoundly between older men and older women. For this reason, different preventative measures should be adopted to delay or reverse cognitive impairment among community-dwelling older men and women.

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          Author and article information

          Contributors
          Role: Editor
          Journal
          PLoS One
          PLoS ONE
          plos
          plosone
          PLoS ONE
          Public Library of Science (San Francisco, USA )
          1932-6203
          2014
          8 January 2014
          : 9
          : 1
          : e83217
          Affiliations
          [1 ]Department of Nursing, the Fourth Military Medical University, Xi’an, China
          [2 ]Department of Health Statistics, the Fourth Military Medical University, Xi’an, China
          [3 ]Department of Nursing, the Health College, Xi’an, China
          [4 ]Department of Epidemiology, the Fourth Military Medical University, Xi’an, China
          Oregon Health & Science University, United States of America
          Author notes

          Competing Interests: The authors have declared that no competing interests exist.

          Conceived and designed the experiments: XS QZH. Performed the experiments: XS QLX NNL JHC LPZ. Analyzed the data: XS LS. Contributed reagents/materials/analysis tools: LS LZ. Wrote the paper: XS.

          Article
          PONE-D-13-32285
          10.1371/journal.pone.0083217
          3885430
          24421876
          be2e82a1-832f-4f0b-851e-4c49949cfada
          Copyright @ 2014

          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
          : 23 July 2013
          : 31 October 2013
          Page count
          Pages: 7
          Funding
          Financial support was provided by the Key Science and Technology Projects of Shaanxi Province (No:2011K15-04-02). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
          Categories
          Research Article
          Medicine
          Clinical Research Design
          Cross-Sectional Studies
          Geriatrics
          Mental Health
          Psychiatry
          Dementia
          Neurology
          Cognitive Neurology
          Dementia
          Non-Clinical Medicine
          Health Care Policy
          Health Risk Analysis
          Nursing Science
          Public Health
          Socioeconomic Aspects of Health

          Uncategorized
          Uncategorized

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