A Study On The Influencing Factors Of Cognitive Dysfunction In Old And Young And Its Relationship With Blood Uric Acid

Objectives1.To understand the status of cognitive function in old and young patients with cognitive impairment(MCI),and to look for the influencing factors of MCI.2.To study the relationship between MCI and its subtypes and blood uric acid(BUA)levels.3.To construct a risk assessment model of cognitive function in MCI patients.Methods:This study includes three parts:cross-sectional survey,case-control study,and construction of risk assessment model.1.research objectsA total of 392 elderly patients over the age of 60 were enrolled in two Grade A general hospitals in Yangzhou from January to December 2016.They included 169 patients with MCI and 223 admitted patients Knowledge of normal function.There were 73 aMCI patients and 96 naMCI patients.2.research methods(1)The baseline assessmentPatients who met the inclusion criteria and volunteered to participate in this investigation were asked to face-to-face inquiries.The MCI diagnostic criteria are based on the 2011 MCI diagnostic criteria developed by the European Alzheimer's Association,combined with the diagnostic criteria proposed by Peterson et al.,using the Mini Mental State Examination(MMSE),the Montreal Cognitive Rating Scale(MoCA)and the overall decline.In the table(GDS),subjects were assessed for cognitive function status and 169 patients with MCI were screened.General investigations and routine physical examinations were performed on all subjects.The data was analyzed with SPSS 19.0.(2)The case control studyA case-control study was conducted between the selected MCI patients and the normal cognitive group.The control group was the elderly with normal cognitive function matched with age,gender,and geographic area who were admitted to the hospital during the same period.Two groups of cognitive function status and BUA levels were compared and grouped according to the quartiles of BUA levels.Multivariate analysis of variance was used to compare differences in cognitive function between groups.Types of MCI patients were diagnosed,and the differences in BUA levels between MCI subtypes were compared.The MCI subtypes were also divided into four groups according to the quartiles of BUA levels,with low quartiles and high scores.The group was used as a reference group and multivariate analysis of variance was used to evaluate differences between groups.(3)Construction of risk assessment modelThe influencing factors of the MCI selected in the first two parts were processed using exploratory factor analysis and confirmatory factor analysis,and the relevant factors for constructing the risk assessment model were obtained.The data was put into the initial hypothetical model of risk assessment and revised and simulated repeatedly.Together,complete the final risk assessment model.Results:1.Analysis of the cognitive function of MCI patients revealed that the overall cognitive function of this group of MCI patients was at a lower level,and the overall cognitive function score was 24.57±1.56.2.The results of univariate analysis of sociodemographic characteristics indicated that older MCI patients had lower education levels,higher smoking rates,fewer exercise times,lower BMI,and higher prevalence of hypertension and diabetes.3.In binomial multivariate logistic regression analysis,education level,smoking,exercise,BMI,hypertension,diabetes,and diastolic pressure were the factors affecting the onset of MCI,among which education level,exercise,and BMI were protective factors,smoking,hypertension,diabetes are risk factors.4.Comparison of cognitive function between MCI patients and controls showed that the scores of the overall cognitive function and all dimensions of the MCI group were lower than the control group,while the significant difference between the aMCI group and the naMCI group was only reflected in the overall recognition.Knowledge of function,orientation,memory.5.According to the quartiles of BUA levels,they were divided into low quartile and high quartile groups as reference groups.After adjusting for the influence of various factors,the differences between the groups were compared and the results were shown in the step.In I adjusted for demographic characteristics(educational age and BMI),the cognitive difference between the higher quartile group and the lo-west quartile group was statistically significant,and the same result was also reflected in step ?(adjusted population sociological characteristics,behavior and lifestyle)and Step ?(Adjust All Variables).The same result is seen when the highest quartile array is used as the reference group.The same results can be seen in the aMCI population.In the naMCI population,only the comparison between group 3 and the lowest quartile and highest quartile was statistically significant in step ?.The same result is also shown in Step ? and Step ?.6.MCI risk assessment step results show that BUA level can affect cognitive function indirectly through the level of lipids and blood pressure,obesity and activity factors,in addition to directly affect cognitive function,and the final total effect is 0.813.Conclusion:1.The overall cognitive function of elderly patients with MCI in the region is low,Low levels of education,smoking,fewer exercise times,lower BMI values,and hypertension and diabetes all affect cognitive function in MCI patients.Among the MCI influencing factors,education level,exercise,and BMI are protective factors.Smoking,hypertension,diabetes are risk factors.2.There was a statistically signifcant difference in cognitive function between the groups based on BUA levels in the MCI population.After MCI was typed,the same results were seen in the aMCI population,while there was no statistical significance in the naMCI population between the groups,indicating that in different MCI subtypes,the relationship between cognitive function and BUA levels different.3.Low BUA levels increase the risk of cognitive impairment,and in the risk assessment step,both direct and indirect effects can affect cognitive function changes.At the same time,the effect of various factors on cognitive function can be seen,so that a more targeted and practical intervention plan can be formulated.