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1.
Journal of Jilin University(Medicine Edition) ; (6): 600-606, 2017.
Article in Chinese | WPRIM | ID: wpr-610117

ABSTRACT

Objective:To discuss the relationship between the geographic environment and blood urea nitrogen(BUN) reference values of the healthy people,and to explore the distributional rule of BUN reference values of the healthy people,and to provide the scientific foundation for establishing the BUN reference value standards of different areas.Methods:A total of 23 geographic factors and 33 521 BUN reference values of healthy adults measured by 403 medical facilities from 23 provinces,4 municipalities and 5 autonomous regions were collected.The spatial autocorrelation analysis was used to determine the spatial autocorrelation of the sample data;the correlation analysis was used to detect the factors which correlated significantly with the BUN reference values;the multiple linear regression,principle component analysis and ridge regression analysis were respectively used to construct the predicted models;the paired-sample t test was used to choose the optimal model;the distribution map of BUN reference values was built by geostatistic analysis.Results:There were 5 geographic factors,latitude(X2),altitude(X3),annual mean temperature(X5),annual mean relative humidity(X6) and annual precipitation(X7),correlated significantly with the BUN reference values.The regression equation of optimal model was Y

2.
Journal of Sun Yat-sen University(Medical Sciences) ; (6): 459-467, 2017.
Article in Chinese | WPRIM | ID: wpr-609888

ABSTRACT

[Objective] To refer a geographical distribution rule of alpha-L-fucosidase (AFU) reference values for the health adults in China via exploring its spatial distribution trend and its correlation with geographical factors.[Methods] A total of 6564 samples of AFU reference values from 66 administrative units in the years 2004-2015 were collected,male and female of which were 3701 cases (56.4%) and 2863 cases (46.3%).A research concerning AFU reference values in whole country were calculated using methods of information content and ridge regression.[Results] AFU reference values for Chinese healthy adults were influenced by geographical factors and presented autocorrelation,and it showed eastern and northern areas were highery than western and southern areas.[Conclusions] AFU reference values have a spatial variation and the regional disparities should be considered in practice.

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