Volume 20 Issue 2
Feb.  2022
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LI Xiu-ying, YANG Xiang-ying, WU Qing-qing, KONG Li-ping, ZHU Qun-ying. Analysis of related factors of cognitive decline in elderly patients with type 2 diabetes in Hangzhou community[J]. Chinese Journal of General Practice, 2022, 20(2): 274-277. doi: 10.16766/j.cnki.issn.1674-4152.002331
Citation: LI Xiu-ying, YANG Xiang-ying, WU Qing-qing, KONG Li-ping, ZHU Qun-ying. Analysis of related factors of cognitive decline in elderly patients with type 2 diabetes in Hangzhou community[J]. Chinese Journal of General Practice, 2022, 20(2): 274-277. doi: 10.16766/j.cnki.issn.1674-4152.002331

Analysis of related factors of cognitive decline in elderly patients with type 2 diabetes in Hangzhou community

doi: 10.16766/j.cnki.issn.1674-4152.002331
Funds:

 2019KY491

 杭卫发[2021]21号

  • Received Date: 2021-07-29
    Available Online: 2022-03-04
  •   Objective  To understand the prevalence of cognitive decline in elderly patients with type 2 diabetes in Hangzhou community and analyze the related factors in order to provide reference for prevention and intervention of cognitive decline in elderly diabetic patients.  Methods  From August to December 2020, 252 elderly patients with type 2 diabetes mellitus (over 60 years old) in 3 communities in Hangzhou were selected by convenience sampling method. The general data inventory, the fatigue, resistance, ambulation, illness, and loss of weight scale (FRAIL scale), mini mental state examination scale (MMSE), simplified version of the Depression Scale (GDS-15) and mini nutritional assessment (MNA-SF) were used for the investigation. Univariate and multivariate logistic regression models were used to analyze the related factors of cognitive decline in elderly patients with type 2 diabetes.  Results  Among the 252 elderly patients with type 2 diabetes, there were 22 cases of cognitive impairment, accounting for 8.73%. Univariate analysis showed that age, family income per month, living style, educational level, marital status, regular exercise, sleep duration, hearing impairment, combined chronic type, nutritional status, and depression were associated with cognitive decline in elderly diabetic patients (P < 0.05). Logistic regression analysis showed that education level (high school: OR=0.191; college and above: OR=0.287), regular exercise (OR=0.325), malnutrition (OR=4.081) and depression (OR=2.754) were the influencing factors of cognitive decline in elderly patients with type 2 diabetes (P < 0.05).  Conclusion  The incidence of cognitive decline in elderly patients with type 2 diabetes mellitus is relatively high. Health care workers should pay close attention to the screening and intervention of cognitive decline in elderly diabetic patients with low cultural level, no exercise habits, lack of nutrition and depressive symptoms.

     

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