| ObjectiveTo explore risk factors of cognitive dysfunction on patients with type 2 diabetes and cognitive dysfunction in type 2 diabetes prevention strategies and measures, for the prevention and intervention in cognitive dysfunction in type 2 diabetes provided the scientific basis and the maximum possible control the progress of the disease, improve the quality of life of patients with diabetes.MethodsUsing cross-sectional study method, choose from September 2014 to March 2015 in jilin province people's hospital endocrine 2 families, diagnosed and receiving hospital treatment of 192 patients with type 2 diabetes patients as the research object.According to the diagnostic criteria formulated in 2010, the American Diabetes Association and exclusion criteria, through the questionnaire, the mini mental state examination(MMSE) for the diagnosis of cognitive impairment, activities of daily living(ADL) scale to assess patients with activities of daily living, Montreal cognitive assessment(Mo CA) as the main cognitive assessment tool the function, were collected and the volume of drinking, smoking, blood pressure, blood lipids, liver and kidney function etc.Using SPSS19.0 software for data analysis.Multivariate analysis of Logistic regression model was used to analyze the variables of P<0.10 in single factor analysis. The value of P<0.05 as a statistically significant value.The correlation analysis was used to analyze the MMSE scale and Mo CA scale cognitive function of each module.Results1.In 192 subjects was statistically significant different MMSE scale cognitive function age, educational level, family income, family history of diabetes, diabetes, age, fasting blood glucose, postprandial blood glucose for 60 minutes, 120 minutes postprandial blood glucose and glycosylated hemoglobin, 120 minutes postprandial C peptide, serum alanine transaminase, BUN difference(P<0.10).Logistic multi factor analysis showed that: low education level, low serum alanine aminotransferase levels, high BUN levels were risk factors for cognitive dysfunction(P<0.05).2.According to the criteria for cognitive impairment in Mo CA scale, 154 of the 192 subjects had cognitive impairment, and the prevalence was 80.21%(154/192).Different Mo CA scale cognitive state nation, age, cultural degree, family income, marital status, diabetic peripheral neuropathy, diabetes, age 120 minutes postprandial blood glucose, postprandial 120 minutes of serum C peptide, alanine aminotransferase, albumin, fasting serum C peptide had significant difference(P<0.010).Logistic multi factor analysis showed that: low family income per capita is a risk factor for cognitive dysfunction(P<0.05).3.MMSE scale cognitive function evaluation of the various modules and factors related to the analysis of the results show that the level of culture and language ability is the strongest correlation, positive correlation, r=0.207, P<0.01; The strongest correlation was showed between the levels of alanine aminotransferase and the recall, and was positively correlated with r=0.140, P>0.05; BUN content was the strongest correlation with memory, and was negatively correlated with r=-0.318, P<0.01;Family income per capita and attention and computing power of the strongest correlation, positive correlation, r=0.266, P<0.01; Fasting blood glucose and the recall of the strongest correlation, was negatively correlated, r=-0.196, P<0.01; The relationship between glycosylated hemoglobin content and memory ability was the strongest, which was negatively correlated with r=-0.145, P<0.05.4.Mo CA scale cognitive function evaluation of the various modules and factors related to the analysis of the results show that the degree of culture and the attention of the strongest correlation, positive correlation, r=0.396, P<0.01; The correlation between alanine aminotransferase content and delayed recall was the highest, and was positively correlated with r=0.138, P>0.05; The content of BUN was the most strongly correlated with attention, and was negatively correlated with r=-0.323,P?; Family per capita income and visual space and the executive ability of the strongest correlation, positive correlation, r=0.322, P<0.01; Fasting blood glucose and the orientation of the strongest correlation, was negatively correlated, r=-0.109, P>0.05; he relationship between glycosylated hemoglobin content and naming ability was the strongest, which was negatively correlated with r=-0.121, P>0.05.Conclusion:1. According to the MMSE criteria of cognitive dysfunction, the prevalence of cognitive impairment was 60.94% in 192 subjects.According to the criteria for cognitive impairment in Mo CA scale, the prevalence of cognitive impairment was 80.21%(154/192);2. Low family income per capita is a risk factor for cognitive dysfunction(P<0.05). Low educational level, low serum alanine aminotransferase levels, high BUN levels were risk factors for cognitive dysfunction(P<0.05);3. Cultural level, alanine aminotransferase, BUN, family income per capita, fasting blood glucose, glycosylated hemoglobin and MMSE scale in the language ability, memory ability, memory, attention and computing power correlation;4. Cultural level,, alt, BUN, family income per capita, fasting blood glucose, glycosylated hemoglobin and Mo CA scale of attention, memory, visuospatial and executive ability, orientation, naming ability strong correlation. |
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