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CN 34-1304/RISSN 1674-3679

Volume 23 Issue 3
Mar.  2019
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JIANG Hu, WANG Xiao-min, HUANG Kai-yong, ZUO Yu-kun, WU Xiang-min, GAO Yong-fen, S Abdullah, YANG Li. Study on prevalence of and influencing factors of mild cognitive impairment among elderly people in communities of Nanning[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2019, 23(3): 313-317. doi: 10.16462/j.cnki.zhjbkz.2019.03.014
Citation: JIANG Hu, WANG Xiao-min, HUANG Kai-yong, ZUO Yu-kun, WU Xiang-min, GAO Yong-fen, S Abdullah, YANG Li. Study on prevalence of and influencing factors of mild cognitive impairment among elderly people in communities of Nanning[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2019, 23(3): 313-317. doi: 10.16462/j.cnki.zhjbkz.2019.03.014

Study on prevalence of and influencing factors of mild cognitive impairment among elderly people in communities of Nanning

doi: 10.16462/j.cnki.zhjbkz.2019.03.014
  • Received Date: 2018-09-03
  • Rev Recd Date: 2018-11-26
  • Publish Date: 2019-03-10
  •   Objective  To investigate the prevalence and influencing factors of mild cognitive impairment (MCI) among elderly people in communities of Nanning, so as to provide scientific basis for the formulation of MCI early intervention measures.  Methods  A total of sample of 3 000 elderly people aged 60 or above living in Nanning area were sampled out using the method of cluster random sampling from three communities in Nanning. The Beijing version of the montreal cognitive assessment (MOCA-BJ) was administered by face to face interview.  Results  833 MCI patients were detected. The standardized prevalence rate of MCI was 27.27% by the age composition of the population in Nanning in 2010. Single factor analysis showed that there were significant differences(all P<0.05)in the prevalence of MCI in different groups by age, education, occupation, exercise time, sleep time, number of reading, community activities and housework. Multivariate analysis showed that old age, primary education level, occupation of farmer/migrant worker and enterprise personnel/worker were the risk factors of MCI, adequate sleep time, moderate exercise time and reading times were the protective factors of MCI (all P<0.05).  Conclusions  The prevalence rate of MCI is high among the elderly in Nanning. The elderly with advanced age, primary school education, occupation as farmer/peasant-worker and enterprise personnel/workerare at high risk of developing MCI. Effective measures should be taken as soon as possible to prevent the occurrence and development of MCI.
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