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Changes in Cognitive Function and Risk Factors for Cognitive Impairment of the Elderly in China: 2005–2014
Background: The cognitive function of the elderly has become a focus of public health research. Little is known about the changes of cognitive function and the risk factors for cognitive impairment in the Chinese elderly; thus, the purposes of this study are as follows: (1) to describe changes in co...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719934/ https://www.ncbi.nlm.nih.gov/pubmed/31404951 http://dx.doi.org/10.3390/ijerph16162847 |
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author | Zhang, Qilin Wu, Yanli Han, Tiankuo Liu, Erpeng |
author_facet | Zhang, Qilin Wu, Yanli Han, Tiankuo Liu, Erpeng |
author_sort | Zhang, Qilin |
collection | PubMed |
description | Background: The cognitive function of the elderly has become a focus of public health research. Little is known about the changes of cognitive function and the risk factors for cognitive impairment in the Chinese elderly; thus, the purposes of this study are as follows: (1) to describe changes in cognitive function in the Chinese elderly from 2005–2014 and (2) to explore risk factors for cognitive impairment of the Chinese elderly. Design and setting: A total of 2603 participants aged 64 years and above participated in the Chinese Longitudinal Healthy Longevity Survey (CLHLS) and were followed up from 2005 to 2014. Cognitive function and cognitive impairment were assessed using the Chinese version of the Mini-Mental State Examination (MMSE). Binary logistic regression analysis was used to estimate the odds ratio (OR) and 95% confidence intervals (CI) of cognitive impairment. Results: Results revealed that the cognitive function of the Chinese elderly shows diversified changes: deterioration (55.09%), unchanged (17.21%) and improvement (27.70%). In addition, there are significant demographic differences in gender, age, education, marriage and other aspects when it comes to the changes of cognitive function in Chinese elderly. In the binary logistic regression analysis, female, increased age, lower education level, no spouse, less income, worse PWB (psychological well-being), less fresh fruit and vegetable intake, more activities of daily living (ADL) limitations, lower social engagement were significantly associated with higher odds for cognitive impairment. Conclusions: Various interventions should be implemented to maintain cognitive function in Chinese elderly. |
format | Online Article Text |
id | pubmed-6719934 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67199342019-09-10 Changes in Cognitive Function and Risk Factors for Cognitive Impairment of the Elderly in China: 2005–2014 Zhang, Qilin Wu, Yanli Han, Tiankuo Liu, Erpeng Int J Environ Res Public Health Article Background: The cognitive function of the elderly has become a focus of public health research. Little is known about the changes of cognitive function and the risk factors for cognitive impairment in the Chinese elderly; thus, the purposes of this study are as follows: (1) to describe changes in cognitive function in the Chinese elderly from 2005–2014 and (2) to explore risk factors for cognitive impairment of the Chinese elderly. Design and setting: A total of 2603 participants aged 64 years and above participated in the Chinese Longitudinal Healthy Longevity Survey (CLHLS) and were followed up from 2005 to 2014. Cognitive function and cognitive impairment were assessed using the Chinese version of the Mini-Mental State Examination (MMSE). Binary logistic regression analysis was used to estimate the odds ratio (OR) and 95% confidence intervals (CI) of cognitive impairment. Results: Results revealed that the cognitive function of the Chinese elderly shows diversified changes: deterioration (55.09%), unchanged (17.21%) and improvement (27.70%). In addition, there are significant demographic differences in gender, age, education, marriage and other aspects when it comes to the changes of cognitive function in Chinese elderly. In the binary logistic regression analysis, female, increased age, lower education level, no spouse, less income, worse PWB (psychological well-being), less fresh fruit and vegetable intake, more activities of daily living (ADL) limitations, lower social engagement were significantly associated with higher odds for cognitive impairment. Conclusions: Various interventions should be implemented to maintain cognitive function in Chinese elderly. MDPI 2019-08-09 2019-08 /pmc/articles/PMC6719934/ /pubmed/31404951 http://dx.doi.org/10.3390/ijerph16162847 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Qilin Wu, Yanli Han, Tiankuo Liu, Erpeng Changes in Cognitive Function and Risk Factors for Cognitive Impairment of the Elderly in China: 2005–2014 |
title | Changes in Cognitive Function and Risk Factors for Cognitive Impairment of the Elderly in China: 2005–2014 |
title_full | Changes in Cognitive Function and Risk Factors for Cognitive Impairment of the Elderly in China: 2005–2014 |
title_fullStr | Changes in Cognitive Function and Risk Factors for Cognitive Impairment of the Elderly in China: 2005–2014 |
title_full_unstemmed | Changes in Cognitive Function and Risk Factors for Cognitive Impairment of the Elderly in China: 2005–2014 |
title_short | Changes in Cognitive Function and Risk Factors for Cognitive Impairment of the Elderly in China: 2005–2014 |
title_sort | changes in cognitive function and risk factors for cognitive impairment of the elderly in china: 2005–2014 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719934/ https://www.ncbi.nlm.nih.gov/pubmed/31404951 http://dx.doi.org/10.3390/ijerph16162847 |
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