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Journal of Nursing ›› 2021, Vol. 28 ›› Issue (13): 74-78.doi: 10.16460/j.issn1008-9969.2021.13.074

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Current Status of Mild Cognitive Impairment in Elderly People in Jinwan District of Zhuhai and Its Influence Factors

LIU Min-li1a, ZHOU Chun-lan2, LONG Yan-juan3, XIAO Xiu-ying1b, HUANG Yu-lou1c, HUANG Xiao-na1d, LI Xiao-zhen1c, GONG Xiu-qun1e, LI Su-cheng1f, HUANG Jin-hang1g, PENG Xiao-ping1h, GENG Li1i, LIANG Mei-yan1i   

  1. 1a. Dept. of Gynecology and Obstetrics; 1b. Dept. of Nursing Administration; 1C. Dept. of Physical Examination; 1d. Dept. of General Surgery; 1e. Dept. of Rehabilitation; 1f. Dept. of Emergency; 1g. Dept. of Critical Care Medicine; 1h. Operating Room; 1i. Care and Rehabilitation Center for the Elderly of Pingsha Town, the Fifth People's Hospital of Zhuhai, Zhuhai 519055, China;
    2. Dept. of Nursing Administration, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China;
    3. Operating Room, Zhuhai People's Hospital Affiliated to Jinan University, Zhuhai 519000, China
  • Received:2021-02-24 Published:2021-08-06

Abstract: Objective To investigate the prevalence and risk factors of mild cognitive impairment (MCI) in the elderly in Jinwan District, Zhuhai and to provide a theoretical basis for the development of early intervention measures. Methods We enrolled 300 elderly people in Jinwan District, Zhuhai and questionnaire survey was conducted, from August 2019 to January 2020. The Montreal Cognitive Assessment-Basic (MoCA-B) scale was used to evaluate cognitive function to estimate the prevalence of MCI among older people (≥65 years) in the area. A total of 287 valid questionnaires were retrieved. Furthermore, univariate analysis and binary logistic regression were performed to clarify the factors affecting the presence of MCI. Results The prevalence of MCI among 287 study subjects was 22.3% (64/287). Univariable analysis indicated that there were significant differences in education background, lifestyle, exercise time per day, sleep time per day, and personal history of disease(P<0.05). Binary logistic regression analysis showed that a high level of education, appropriate length of physical exercise and length of sleep were the protect factors affecting the prevalence of MCI (P<0.05). Bad habits and personal disease history were the independent risk factors for MCI in the elderly (P<0.05). Conclusion The prevalence of MCI is high in the elderly in Zhuhai and its incidence is associated with several risk factors. Measures should be taken for early detection and intervention to delay and reduce the occurrence of MCI.

Key words: mild cognitive impairment, elderly population, prevalence, influence factor

CLC Number: 

  • R473.5
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