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- W2372181903 abstract "[Objective] This essay aims to find out decrepit indices of humeral immunity and biochemical indices and utilize discriminatory analysis and regression analysis to set up biological age regression equation and observe its forecasting value.[Methods] Experimental subjects are healthy people from medical examination center,including 67 males and 62 females.Chronological age composition is from 30 to 98 years old.The whole experimental subjects were divided into 13 groups,each group of 5-year-old age segment.The indices,such as serum immune globulin IGG,IGA,IGM,complement C3,C4 and routine biological indices were detected.The correlation between the above indices and age were analyzed and regression equation was set up with decrepit indices.[Results] The following indices have positive correlation with age by Pearson correlate analysis: IGG,IGA,CRE,UA,GLU,globulin;The indices of ALB and A/G ratio have negative correlation with age(P0.05).Every group's discriminatory analytic function was obtained through discriminatory analysis by using decrepit indices.At the same time,biological age regression equation was worked out: YBA=0.553×age+0.003×IGG+0.015×IGA+0.570×GLU-3.434×A/G-0.862×ALB+60.578.[Conclusions] Biological age regression equation with decrepit indices may provide reference data for evaluating health or determining the degree of decrepitude." @default.
- W2372181903 created "2016-06-24" @default.
- W2372181903 creator A5071478076 @default.
- W2372181903 date "2012-01-01" @default.
- W2372181903 modified "2023-09-27" @default.
- W2372181903 title "Forecasting value of biological age regression equation set up with humeral immunity and biochemical indices" @default.
- W2372181903 hasPublicationYear "2012" @default.
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