Research On The Correlation Between Body Composition Analysis Indicators And Metabolic Syndrome In The Physical Examination Population

Objective: To observe the prevalence of Metabolic syndrome(Met S)in the physical examination population,analyze the characteristics of the Met S body composition analysis indicators;to explore the physical composition analysis of the Met S patients in the physical examination population The correlation of indicators with anthropometric indicators and hematological indicators will not only provide a more objective,systematic and comprehensive evaluation basis for the evaluation of the risk factors of Met S patients in the physical examination population,but also provide a reference basis for the screening and intervention of Met S patients in the physical examination population.Methods: A cluster sampling method was adopted,and the population who participated in the physical examination in the Health Management Department of the First Affiliated Hospital of Guangxi Medical University from June 2020 to December 2020 were included as the research objects.A questionnaire survey is used to collect demographic information indicators,including demographic data,past medical history,family history,and drug use.Physical examination of the research subjects,collecting anthropometric indicators,hematology indicators,and body composition analysis indicators.Anthropometric indicators include height,weight,waist circumference(WC),hip circumference(Hip Circumference,HC),blood pressure,and calculation of waist circumference and hip circumference ratio(WHR).Hematological indicators include serum total cholesterol(Total Cholesterol,TC),triglyceride(Triglyceride,TG),low density lipoprotein cholesterol(Low Density Lipoprotein Cholesterol,LDL-C),high density lipoprotein cholesterol(High Density Lipoprotein Cholesterol,HDL-C),fasting blood glucose(FBG).Use the Inbody770 body composition analyzer for body composition detection.The body composition analysis indicators include skeletal muscle mass(SMM),body fat mass(BFM),visceral fat area(Viscera lfat area,VFA),and Fat free mass(FFM)and soft lean mass(SLM),calculate SMM%,SMI,BFM%,SMM/BFM and SMM/VFA.According to the Met S diagnostic criteria of the Chinese Diabetes Society(CDS),the overall prevalence of Met S and the incidence of various risk factors in the physical examination population were calculated;the physical examination population was divided into two groups according to the above diagnostic criteria,namely the Met S group and the non-Met S group group.The two groups of demographic indicators,anthropometric indicators,hematology indicators,and body composition analysis related indicators were sequentially included for single-factor analysis,and then the indicators with differences in single-factor analysis were included in the Logistic model for multi-factor analysis,and the physical examination population Met S was screened out.The independent influencing factors of patient demographic information index,anthropometric index,hematology index,and body composition analysis related index.Spearman correlation analysis was used to analyze the correlation between the body composition analysis indexes of Met S patients in the physical examination population and the anthropometric indexes and hematology indexes in the Met S diagnostic criteria.Results:1.A total of 1071 eligible subjects were finally included in this study,with an average age of 41.66 ± 14.36(20-78)years old,654 males,accounting for61.1%,417 females,accounting for 38.9%,and the medical examination population Met S The overall prevalence rate was 19.98%(214/1071),including176(26.9%)males and 38(9.1%)females.The detection rate of central obesity was 11.23%,the detection rate of overweight or obesity was 37.48%,the detection rate of hypertension was 27.78%,the detection rate of hyper TGemia was 19.31%,the detection rate of hyperglycemia was 17.56%,and the detection rate of low HDL-Cemia detection rate is 9.83%;2.The univariate analysis indicators of the research subjects include(1)Demographic indicators: age,gender;(2)Anthropometric indicators: SBP,DBP,height,weight,BMI,WC,HC,WHR;(3)Hematology indicators: TC,TG,HDL-C,LDL-C,FBG;(4)Body composition analysis indicators: SMM,SMM%,SMI,BFM,BFM%,VFA,SLM,FFM,SMM/VAF,SMM/BFM.Comparing the above indicators between the Met S group and the non-Met S group of the physical examination population,the results showed that,except for LDL-C,there was no statistical difference(P=0.546),and the other indicators were statistically different(P<0.053.Multi-factor analysis indicators of the research objects include(1)demographic indicators: age;(2)anthropometric indicators: SBP,DBP,height,weight,BMI,WC,HC,WHR;(3)hematology indicators: TC,TG,HDL-C,FBG;(4)Body composition analysis indicators: SMM,SMM%,SMI,BFM,BFM%,VFA,SLM,FFM,SMM/VAF,SMM/BFM.Import the above independent variables into the Logistic regression model for multivariate analysis.The regression results showed that SBP,BMI,WC,WHR,TG,FBG,and VFA were independent risk factors for Met S in the physical examination population,and HDL-C,SMI and SLM were independent protective factors for Met S in the physical examination population.4.Correlation analysis of the risk factors of SMI,VFA,SLM and Met S in the body composition analysis indicators of the physical examination population.The results show:(1)Correlation analysis of the skeletal muscle index(SMI)and the risk factors of Met S: SMI and SBP,DBP,LDL-C,TC,TG,WC were negatively correlated(all P<0.05),positively correlated with HDL-C(P<0.05),and had no clear correlation with FBG(P>0.05);(2)visceral fat area(Correlation analysis between VFA and Met S risk factors: VFA was positively correlated with SBP,DBP,LDL-C,FBG,TC,TG,WC(all P<0.05),and negatively correlated with HDL-C(P<0.05).(3)Correlation analysis between fat-free soft tissue body weight(SLM)and various risk factors of Met S.SLM is negatively correlated with SBP,DBP,LDL-C,TC,TG,FBG,WC(all P<0.05),and is negatively correlated with HDL-C It was positively correlated(P<0.05).Conclusion:Met S is prevalent in the physical examination population to a certain extent.The body composition analysis indicators SMI,VFA and SLM are independent influencing factors of Met S patients in the physical examination population,and are different from the anthropometric indicators and hematological indicators in the Met S diagnostic criteria.Related.It has certain clinical application reference value,and provides a new perspective for the screening and early intervention of Met S patients in the physical examination population.