WANG Xiao-xia, SHEN Tie-mei, CUI Hong, PENG Min, HUANG Qiao, HUANG Fang, LI Yun, YANG Man-qing. Status and Influencing Factors of Cognitive Function Among the Urban Elderly in Guangdong Province[J]. Journal of Evidence-Based Medicine, 2023, 23(5): 282-290. DOI: 10.12019/j.issn.1671-5144.2023.05.006
    Citation: WANG Xiao-xia, SHEN Tie-mei, CUI Hong, PENG Min, HUANG Qiao, HUANG Fang, LI Yun, YANG Man-qing. Status and Influencing Factors of Cognitive Function Among the Urban Elderly in Guangdong Province[J]. Journal of Evidence-Based Medicine, 2023, 23(5): 282-290. DOI: 10.12019/j.issn.1671-5144.2023.05.006

    Status and Influencing Factors of Cognitive Function Among the Urban Elderly in Guangdong Province

    • Background The permanent elderly population in Guangdong Province accounts for 12.35% of the province's population. With the deepening of aging in our country, the problem of cognitive dysfunction among the elderly has become increasingly prominent. Therefore, a multi-center survey with a large sample to understand the current situation of cognitive function of the urban elderly in Guangdong Province was conducive to establishing a barrier for the maintenance of cognitive function in elderly patients during early prevention and treatment measures. Provide reference to meet the service needs of urban elderly people in different regions and at different levels in Guangdong Province.
      Objective To investigate and analyze the cognitive function of urban elderly in Guangdong Province.
      Methods With WeChat Mini Program, survey from four districts of Guangdong Province, among six major cities of 1 619 elderly people, using chi-square test, t test, rank and inspection analysis of different demographic characteristics of elderly differences of cognitive dysfunction, using multivariable logistic regression model to analyze the influence factors of cognitive dysfunction in the elderly.
      Results 13.4% of the urban elderly in Guangdong Province had cognitive dysfunction, and the rate of cognitive dysfunction was higher in the elderly, non-home, long-term drug use of 4 or more types, less weekly exercise, less weekly social activities (P < 0.05). Multivariate analysis showed the risk of cognitive impairment was higher in older people, those who were not at home, those who did less weekly exercise, and those who did less weekly social activities(P < 0.05).
      Conclusions The cognitive function of the elderly in urban areas needs to be improved, attention should be paid to cognitive function of older people who are elderly, living in hospitals and community health service centers, and in poor mobility, and early screening should be carried out. Eventually treatment procedure for the older people with different degrees and different dimensions of dysfunction can be developed, so as to meet the differentiated and multi-level long-term care service needs.
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