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Correlation Study Of Cognitive Dysfunction And Nutrition Status In Elderly Hospitalized Patients

Posted on:2021-05-11Degree:MasterType:Thesis
Country:ChinaCandidate:S YaoFull Text:PDF
GTID:2404330632450477Subject:Master of Clinical Medicine
Abstract/Summary:PDF Full Text Request
Objective:Cognitive dysfunction has become a "killer" that seriously threatens the health and quality of life of the elderly.Studies have found that cognitive decline is related to multiple factors such as genetic factors,environmental factors,lifestyle,and chronic diseases.In recent years,it has been reported in the literature that nutrition plays an important role in cognitive function.Therefore,this article aims to study the correlation between nutritional status and cognitive dysfunction in elderly hospitalized patients,understand the impact of nutritional status on cognitive dysfunction,and explore its clinical significance.Methods:1.Research objects: This study is a cross-sectional observational study.The research objects are elderly patients who were hospitalized in the cadre ward of the First Hospital of Jilin University from January 1,2020 to June 30,2020 and aged ?65 years.2.Research method: According to the MMSE score,the research objects were divided into cognitive dysfunction group and normal cognitive function group.Collect the patient's general data,blood pressure,biochemical indicators,and simple nutritional assessment scale(MNA)questionnaires as observation indicators.3.Statistical method:Use SPSS 22.0 statistical software for data processing and statistical analysis.Measurement data conforming to normal distribution are expressed as meanąstandard deviation(ąS),independent sample t test is used for comparison between two groups;count data and grade data are expressed as percentage(%),and chi-square test is used for comparison between two groups Or rank sum test;subgroup analysis is carried out stratified by age,and rank sum test is used to compare the measurement data that does not conform to the normal distribution;the multivariate analysis of cognitive dysfunction uses binary Logistics regression analysis;the correlation between the factors Spearman correlation analysis was used;all statistical methods were statistically significant with P<0.05.Results:A total of 200 patients were enrolled in this study.According to the MMSE scale,36 cases were in the cognitive dysfunction group and 164 cases were normal in cognitive function.1.The age of the cognitive dysfunction group is higher than that of the normal cognitive function group,and the difference is statistically significant.As age increases,the prevalence of cognitive dysfunction also increases.2.The upper arm circumference(P<0.001)and albumin level(P<0.001)between the cognitive dysfunction group and the normal cognitive function group,the difference was statistically significant;BMI,blood pressure,waist circumference,hemoglobin,urea nitrogen,creatinine,cholesterol There was no statistically significant difference between the two groups in terms of triglyceride,high-density lipoprotein,low-density lipoprotein,and ability of daily living scale scores(P>0.05).3.Logistic regression analysis with cognitive dysfunction as the dependent variable,age,upper arm circumference,albumin level,and MNA scale score as independent variables showed that age(OR=1.062,P=0.037),MNA scale score(OR=5.894),P<0.001)is an independent risk factor for cognitive dysfunction in the elderly.Upper arm circumference(OR=0.737,P=0.025)and albumin level(OR=0.845,P=0.014)are independent risk factors for cognitive dysfunction in the elderly Protective factor.4.Spearman correlation analysis showed that the scores of MNA scale and MMSE scale were positively correlated(r=0.501 P<0.05).Conclusion:1.The incidence of cognitive dysfunction gradually increases with age.2.Elderly malnutrition is closely related to cognitive dysfunction and is an important and independent risk factor.
Keywords/Search Tags:Elderly hospitalized patients, nutritional status, cognitive function, simple intelligence assessment scale, simple nutrition assessment scale
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