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

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. Th...

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Autores principales: Su, Xiangni, Shang, Lei, Xu, Qiaoling, Li, Nannan, Chen, Jianhua, Zhang, Liping, Zhang, Lei, Hua, Qianzhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3885430/
https://www.ncbi.nlm.nih.gov/pubmed/24421876
http://dx.doi.org/10.1371/journal.pone.0083217
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author Su, Xiangni
Shang, Lei
Xu, Qiaoling
Li, Nannan
Chen, Jianhua
Zhang, Liping
Zhang, Lei
Hua, Qianzhen
author_facet Su, Xiangni
Shang, Lei
Xu, Qiaoling
Li, Nannan
Chen, Jianhua
Zhang, Liping
Zhang, Lei
Hua, Qianzhen
author_sort Su, Xiangni
collection PubMed
description 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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spelling pubmed-38854302014-01-13 Prevalence and Predictors of Mild Cognitive Impairment in Xi’an: A Community-Based Study among the Elders Su, Xiangni Shang, Lei Xu, Qiaoling Li, Nannan Chen, Jianhua Zhang, Liping Zhang, Lei Hua, Qianzhen PLoS One Research Article 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. Public Library of Science 2014-01-08 /pmc/articles/PMC3885430/ /pubmed/24421876 http://dx.doi.org/10.1371/journal.pone.0083217 Text en © 2014 Su et al http://creativecommons.org/licenses/by/4.0/ 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 properly credited.
spellingShingle Research Article
Su, Xiangni
Shang, Lei
Xu, Qiaoling
Li, Nannan
Chen, Jianhua
Zhang, Liping
Zhang, Lei
Hua, Qianzhen
Prevalence and Predictors of Mild Cognitive Impairment in Xi’an: A Community-Based Study among the Elders
title Prevalence and Predictors of Mild Cognitive Impairment in Xi’an: A Community-Based Study among the Elders
title_full Prevalence and Predictors of Mild Cognitive Impairment in Xi’an: A Community-Based Study among the Elders
title_fullStr Prevalence and Predictors of Mild Cognitive Impairment in Xi’an: A Community-Based Study among the Elders
title_full_unstemmed Prevalence and Predictors of Mild Cognitive Impairment in Xi’an: A Community-Based Study among the Elders
title_short Prevalence and Predictors of Mild Cognitive Impairment in Xi’an: A Community-Based Study among the Elders
title_sort prevalence and predictors of mild cognitive impairment in xi’an: a community-based study among the elders
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3885430/
https://www.ncbi.nlm.nih.gov/pubmed/24421876
http://dx.doi.org/10.1371/journal.pone.0083217
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