Association and interaction between triglyceride-glucose index and obesity on risk of hypertension in middle-aged and elderly adults.

Aims: To investigate the association between triglyceride-glucose(TyG) index and the risk of hypertension.

Method: A cross-sectional study was conducted in Bengbu, China. The participants received relevant questionnaire survey, anthropometric tests, and laboratory examination.

[Multiple nonlinear statistical method of population genetic structure based on the allelic polymorphism data].

The distribution and structure of the allelic polymorphism data are analyzed and it is pointed out that the distribution of allelic polymorphism data reveals the characteristic of closed data (also named as compositional data or data of constant sum). It is interpreted that the correlation structure of the allelic polymorphism data contains null correlations introduced by "closure" and the statistical distribution of the data is not normal because of its constant row sum, which resulted in great difficulties in analyzing the data with traditional multiple linear statistical methods such as principal component analysis, factor analysis, cluster analysis and canonical correlation analysis. Based on the theory of compositional data analysis proposed by Aitchison in 1982, a multiple nonlinear statistical method originating from the "logratios" approach to the statistical analysis of compositional data is put forward in this paper.