The Research Of The Relationship Between Body Composition And Metabolic Syndrome

Objective: To investigate the correlation between blood pressure and islet function condition in obese women with the same body composition.Methods: First 88 obese women(BMI≥25.0 Kg/m2) were divided into 3 groups according to their blood pressure: normal blood pressure group, prehypertension group, and hypertension group. Then, dual energy X-ray absorptiometry(DEXA) was used to measure their fat and lean mass, and calculate indexes of body composition(the fat and lean content of the whole body, trunk and four limbs). Next we calculated the area under the curve of insulin (AUCins) and acute insulin response (AIR) phase by intravenous glucose tolerance test(IVGTT). HOMA was used to calculate Homeostasis modelβ-cell function index(HOMA2-%B), homeastasis model insulin sensitivity index (HOMA2-%S)and homeostasis model insulin resistance index (HOMA2-IR). Next, we built data models of hypertension and prehypertension,and used Binary Logistic regression to analyse risk factors.Results: There was no significant difference either among age,FPG,BMI,WHR and indexes of body composition of these three groups or among the HOMA2-%B,AUCins, and AIR. When increasing of blood pressure, 2 h PG,IVGTT ins0,TG,HOMA2-IR increased(P<0.05), but HOMA2-%S decreased (P<0.05), SBP showed a positive correlation with 2 h PG,TC,TG,IVGGT ins0,and HOMA2-IR, but a negative correlation with HOMA2-%S. DBP showed a positive correlation with 2 h PG,TG,and negative correlation with HOMA2-%S. Results of Logistic regression analysis showed that 2 h PG,HOMA2-IR,TG were in the equation in both models.Conclusion: Insulin resistance is an important related risk factors for hypertension and even prehypertension in obese women with the same body composition. Objective: To investigate the relationship between fat and lean tissue and metabolic syndrome in obese women.Methods: First, 136 obese women(BMI≥25.0Kg/m2)are divided into 4 groups according to trunk fat content (%TF),leg muscle content(%LM )and the ratio of trunk fat to leg muscle area(TMR).Then, dual energy x-ray absorptiometry(DEXA)is used to measure their fat and muscle mass, and calculate %TF, %LM, TMR. Then, we compare the relevance ratio of hypertension,glucose metabolic abnormalities,Lipid metabolic disorder and metabolic syndrome by chi-square test,and compare the influence they have on metabolic syndrome by Logistic regression analysis.Results: (1)the relevance ratios of hypertension increase with% TF and TMR increasing(both P<0.05),while glucose metabolic abnormalities and lipid metabolic disorder make no difference(P>0.05), and all of them make no difference with %LM increasing(P>0.05).(2)All the accumulated relevance ratios of metabolic syndrome components are unchanged with % TF and %LM increasing. %TF gradually increases and %LM decreases with TMR increasing(both P<0.05),and the accumulated relevance ratios of the three components obviously increase with TMR increasing(P<0.05). (3) TMR enters all the models of hypertension,glucose metabolic abnormalities,Lipid metabolic disorder and metabolic syndrome,the odd ratios are 1. 629(95%CI: 1.143～2.320), 1. 492(95%CI: 1.086～2.050), 1. 460(95%CI: 1.067～1.999)and 1.791(95%CI: 1.282～2.502)respectively. %TF enters all the models except glucose metabolic abnormalities,the odd ratios are 1. 480(95%CI: 1.047～2.092), 1. 388(95%CI: 1.017～1.895)and 1. 475(95%CI: 1.072～2.030)respectively . %LM fails to enter all the models.(4)Results of Logistic regression analysis show that only TMR is in the equation in all models,but both %TF and %LM fail to enter the models.Conclusion: Compared with single increase of trunk fat or single decrease of leg muscle,the coexistence of both may be a more important related factors for metabolic syndrome in obese women.