Objective: To study the characteristic of body composition, and analyze the relationship between body composition and Lnins, to provide an easy and convenient method to estimate insulin in blood. Methods: (1) A total of 205 subjects taken part in a routine health check were investigated in the hospital.After overnight fasting, they were checked for body composition, serum glucose(FGB), triglyceride(TG), total cholesterol(TC), high-density lipoprotein cholesterol(HDL-C), low-density lipoprotein cholesterol(LDL-C), insulin.Because of insulin data's seriously skewed distribution, their natural logarithm, which named Lnlep and Lnins were chose in analysis;(2) The differences of the above-mentioned indexes and the rate of central obesity were compared between different age groups, different genders, and the multiple linear regression equation was set up with Lnins as the dependent variable. Results: (1) In all age groups, height, weight, waist circumstance, BMI, LDL-C and TG were significantly higher in male than in their female counterparts,(all P<0.05); but HDL-C was lower.With the increasing of age, both genders showed decreased mean height, waist circumstance, BMI, and FBG and overweight rate.(2) In the 20~and 30~age groups, overweight rates for men's were higher then women's.(3)The influential factors of Lnins in the population were BMI and age.Y=0.036+0.084×BMI-0.007×age, R2=0.262,P<0.01. Conclusions: In all age groups, the male subjects have higher risk to have obesity and metabolic disorders.Along with the increase of age, all of the selected parameters tend to be abnormal in both genders, especially the females; Lnins has significantly positive correlation with BMI, and has negative correlation with age. |
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