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Analysis On Bidirectional Association Of Dyslipidemia And Abnormal Glucose Metabolism Based On A Cohort Study

Posted on:2022-01-31Degree:MasterType:Thesis
Country:ChinaCandidate:L HuangFull Text:PDF
GTID:2504306329480694Subject:Epidemiology and Health Statistics
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Objective: To analyze the risk of dyslipidemia caused by dynamic changes of Blood Glucose and the risk of abnormal glucose metabolism caused by dynamic changes of blood lipids,and to explore the bidirectional correlation between dyslipidemia and abnormal glucose metabolism.Methods: Selected People over 40 years old in Shahekou Dalian in 2011 as the subject.the subjects’ age,sex,history of surgery and other conditions were collected.And height,weight,WC,systolic and diastolic blood pressure,FINS,FPG,2h PG,TG,TC,HDL-C,LDL-C,Hb A1 c were measured.BMIand HOMA-IR were calculated.Two cohorts were established according to inclusion criteria and exclusion criteria(cohorts A:Normal Lipids→Dyslipidemia;Cohorts B: Normal Glucose→Abnormal glucose metabolism)and were followed up for 3 years.Established database by Excel and analyzed by SPSS 25.0 software.Used χ2 test to compare the incidence rate of dyslipidemia or impaired glucose metabolism after 3 years.Used logistic regression model to analyze the risk of dyslipidemia/impaired glucose metabolism and the main affecting factors.Result:1.In the cohort with normal baseline lipid,cumulative incidence rate of dyslipidemia over 3 years was 22.8%,with TC elevated by 9.6%,TG elevated by 8.1%,HDL-C reduced by 8.3%,and LDL-C elevated by 5.7%.2.In the cohort with normal baseline lipid,the risk of dyslipidemia in subjects whose BMI change rate was between-1.5% and + 1.5% was 1.677 times(OR 95% CI:1.242~2.264)that in subjects whose BMI change rate was less than-1.5%,and the risk of dyslipidemia in subjects whose BMI change rate was great than 1.5% was 1.904times(OR 95% CI:1.421~2.551)that in subjects whose BMI change rate was less than-1.5%.The risk of dyslipidemia was 1.552 times(OR 95% CI:1.103~1.183)higher for one unit added to baseline Hb A1 c and 1.295 times(OR 95% CI:1.149~1.459)higher for one unit added to baseline HOMA-IR.3.In the cohort with normal baseline glucose,cumulative incidence rate of abnormal glucose metabolism over 3 years was 15.7%,with IGR by 14.3%,IFG by1.4%,IGT by12.9%,DM by1.4%.4.In the cohort with normal baseline glucose,the risk of abnormal glucose metabolism in subjects with mild central obesity and severe central obesity were1.559times(OR 95% CI:1.068~2.393)and 2.655 times(OR 95% CI:1.761~4.001)respectively,compared to those with normal waist circumferencenormal.The risk of abnormal glucose metabolism in subjects whose change rate of WC was between-4.0%and + 2.0% was 2.079 times(OR 95% CI:1.481~2.919)that in subjects whose change rate of WC was lower than-4.0%.The risk of abnormal glucose metabolism in subjects whose change rate of WC was≥2.0% was 1.865 times(OR 95% CI:1.301~2.674)that in subjects whose change rate of WC was lower than-4.0%.The risk of abnormal glucose metabolism was 1.194 times(OR 95% CI:1.048~1.360)higher for one unit added to baseline baseline TG.Conclusions:1.Obesity is not only risk factor for dyslipidemia but also a risk factor for abnormal glucose metabolism.The risk of dyslipidemia increased with the increase of BMI,while the risk of abnormal glucose metabolism increased with the increase of baseline WC and the increase of WC growth,and individuals with central obesity would have a higher risk of developing abnoraml glucose metabolism.Controlling the increase of BMI and WC could prevent the occurrence of dyslipidemia and abnormal glucose metabolism.2.The risk of dyslipidemia increased with the increase of baseline HBA1 C and baseline HOMA-IR levels.Controlling the level of Hb A1 c and HOMA-IR could prevent the occurrence of dyslipidemia.3.The risk of abnormal glucose metabolism increased with the increase of baseline TG level.Controlling TG level could be helpful to prevent the occurrence of abnormal glucose metabolism.
Keywords/Search Tags:Dyslipidemia, Abnormal glucose metabolism, Cohort study, Bidirectional analysis
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