贾小芳,王志宏,黄绯绯,杜文雯,姜红如,苏畅,张晓帆,白晶,张兵,王惠君.中国4省份55岁及以上中老年人空腹血糖与轻度认知功能障碍的关联研究[J].Chinese journal of Epidemiology,2022,43(10):1590-1595 |
中国4省份55岁及以上中老年人空腹血糖与轻度认知功能障碍的关联研究 |
Association between fasting plasma glucose and mild cognitive impairment in Chinese 55 and older population from four provinces |
Received:December 23, 2021 |
DOI:10.3760/cma.j.cn112338-20211223-01012 |
KeyWord: 空腹血糖 轻度认知功能障碍 中老年人 关联 |
English Key Word: Fasting plasma glucose Mild cognitive impairment Middle-aged and elderly population Association |
FundProject:神经系统疾病专病社区队列研究(2017YFC0907701) |
Author Name | Affiliation | E-mail | Jia Xiaofang | National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention/Key Laboratory of Trace Element Nutrition, National Health Commission of the People's Republic of China, Beijing 100050, China | | Wang Zhihong | National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention/Key Laboratory of Trace Element Nutrition, National Health Commission of the People's Republic of China, Beijing 100050, China | | Huang Feifei | National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention/Key Laboratory of Trace Element Nutrition, National Health Commission of the People's Republic of China, Beijing 100050, China | | Du Wenwen | National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention/Key Laboratory of Trace Element Nutrition, National Health Commission of the People's Republic of China, Beijing 100050, China | | Jiang Hongru | National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention/Key Laboratory of Trace Element Nutrition, National Health Commission of the People's Republic of China, Beijing 100050, China | | Su Chang | National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention/Key Laboratory of Trace Element Nutrition, National Health Commission of the People's Republic of China, Beijing 100050, China | | Zhang Xiaofan | National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention/Key Laboratory of Trace Element Nutrition, National Health Commission of the People's Republic of China, Beijing 100050, China | | Bai Jing | National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention/Key Laboratory of Trace Element Nutrition, National Health Commission of the People's Republic of China, Beijing 100050, China | | Zhang Bing | National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention/Key Laboratory of Trace Element Nutrition, National Health Commission of the People's Republic of China, Beijing 100050, China | | Wang Huijun | National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention/Key Laboratory of Trace Element Nutrition, National Health Commission of the People's Republic of China, Beijing 100050, China | wanghj@ninh.chinacdc.cn |
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Abstract: |
目的 分析我国4省份中老年人FPG与轻度认知功能障碍(MCI)的关联性。方法 利用神经系统疾病专病社区队列研究2018-2019年基线调查数据,选择有完整人口统计学、生活方式、疾病史、认知功能和心理评估及血生化检测数据、有基本日常生活能力且未患阿尔茨海默病的3 272名≥55岁中老年人作为研究对象,采用多因素logistic回归模型分析FPG和MCI的关联性。结果 研究人群FPG中位水平为5.5 mmol/L,MCI患病率为24.8%。FPG五等分组的MCI患病率分别为19.4%、22.2%、29.2%、26.6%和26.1%,差异有统计学意义且呈上升趋势(P=0.002)。调整混杂因素后,多因素logistic回归分析结果显示,FPG的Q3、Q4和Q5组中老年人MCI患病风险分别是Q1组的1.641(95%CI:1.226~2.131)、1.373(95%CI:1.036~1.825)和1.402(95%CI:1.054~1.871)倍。结论 较高的FPG可能是中老年人MCI的危险因素,提示中老年人即使未患糖尿病,仍应注意监测和控制血糖水平。 |
English Abstract: |
Objective To analyze the association of fasting plasma glucose (FPG) with mild cognitive impairment (MCI) in the Chinese middle-aged and elderly population from four provinces.Methods Data were drawn from the baseline data of the Community-based Cohort Study on Nervous System Disease 2018-2019. We selected 3 272 subjects aged 55 and above with completed information on demographics, lifestyle, disease history, cognitive test, psychological assessment, and bio-chemistries measurement, and who were capable of performing basic activities of daily living but without Alzheimer's disease during recruitment. A multivariate logistic regression model was employed to analyze the association between FPG and MCI.Results Median level of FPG in the study population was 5.5 mmol/L. The prevalence of MCI was 24.8%, and those in groups of the FPG quintile were 19.4%, 22.2%, 29.2%, 26.6%, and 26.1%, respectively, which significantly increased the trend (P=0.002). After adjustment of confounders, multivariate logistic regression analysis found that the MCI risk of subjects in the Q3, Q4 and Q5 groups was 1.641 (95%CI:1.226-2.131), 1.373 (95%CI:1.036-1.825), 1.402 (95%CI:1.054-1.871) times as high as that in the Q1 group, respectively.Conclusion High FPG level might serve as a risk factor for MCI in the middle-aged and elderly population, suggesting the importance of monitoring and controlling plasma glucose even without diabetes. |
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