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The Relationship Between Serum Bilirubin And Metabolic Syndrome In Jinchang Cohort: A Prospective Cohort Study

Posted on:2019-07-05Degree:MasterType:Thesis
Country:ChinaCandidate:Y M RongFull Text:PDF
GTID:2334330566464799Subject:Epidemiology and Health Statistics
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Objectives To understand the incidence of Metabolic Syndrome(MetS)in Jinchang cohort and to explore the relationship between serum bilirubin concentration and the risk of MetS in order to provide scientific basis for prevention and treatment of the population.Methods This study included 7440 participants(4,150 males and 3,290 females)without MetS in the baseline survey of Jinchang Cohort.The epidemiological survey data(general demographic characteristics,lifestyles,occupation history,disease history,etc.)and the physiological and biochemical indexes(height,weight,waist circumference,blood pressure and blood biochemical indexes,etc.)were collected in the cohort.High risk populations were identified by revealing the incidence of MetS and its components stratified by different indicators.The effects of serum bilirubin on MetS and its components were analyzed by cohort studies and Logistic regression analysis was used to estimate the odds ratio(OR)and 95% confidence interval of three types of serum bilirubin.Restricted cubic spline method(RCS)was used to further analyze the doseresponse relationship between serum bilirubin concentrations and abnormalities in MetS components.Results 1.The incidence of MetS in Jinchang cohort was 24.0% overall with 24.5% in males,and 23.3% in females and was increasing in a younger population.Under 30 years of age,the incidence in participants was 14.2% overall with 17.5% in males and 7.8% in females.Furthermore,the incidence of MetS in both genders rose with increasing age(P tend <0.05),and remained at a higher level after 40 years of age.The incidence of MetS in males was higher than females before 50 years of age and lower after(P <0.01),and rose rapidly in females after 40 years of age.2.There was a high rate of abnormalities in MetS components in baseline participants without MetS and there were gender differences.The proportion of normality of 5 MetS components was 25.9%(1929/7440)and the proportion of abnormality of one or two components reached 74.1%(5511/7440).The abnormality rate of each component in the baseline from high to low was: WC(40.3%,3002/7440),BP(27.2%,2023/7440),TG(26.0%,1936/7440),HDL-C(9.9%,733/7440)and FPG(8.6%,640/7440).In participants with one abnormal component,the abnormality of WC has the highest proportion in both genders,and the abnormalities of TG and BP were followed in males,and BP and HDL-C were followed in females.In participants with two abnormal components,the highest proportion of WC+TG abnormalities was found in males and WC+BP in females.3.There was no association between serum total bilirubin(TBIL),indirect bilirubin(IBIL)and the risk of MetS and its components.Serum direct bilirubin(DBIL)is a protective factor for the incidence of MetS.The adjusted ORs(95% CI)of MetS for the upper quartiles(Q2~Q4)of serum direct bilirubin compared with the lowest quartile(Q1)were 0.90(0.77-1.06),0.79(0.68-0.93),0.72(0.61-0.85)and P for trend <0.05.4.The risk of TG was decreasing with the increase of DBIL(P for trend <0.05).Compared with the lowest quartile(Q1),the risk of TG in the upper quartiles(Q2~Q4)of DBIL decreased by 24%,23% and 37% in males and 6%,32% and 47% respectively in females.Restricted cubic spline analysis showed that there was a negative linear dose-response relationship between DBIL concentration and TG(P overall = 0.009,P non-linearity = 0.730).Conclusions 1.There was a high rate of abnormalities in MetS components in Jinchang Cohort and the incidence of MetS was at a high level with the trend being the younger are at greater risk.2.No associations were observed between TBIL,IBIL and the risk of MetS and its components.3.DBIL was negatively associated with the risk of MetS and there was a negative linear doseresponse relationship with TG.
Keywords/Search Tags:Jinchang Cohort, Serum Bilirubin, Metabolic Syndrome, Risk Factor, Dose-Response Relationship
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