The main targets of this were to screen the factors that may influence the distribution of cholinesterase (CHE) reference value in healthy people, and further explored the geographical distribution differences of CHE reference value in China. In this study, we collected the CHE data of 17,601 healthy people from 173 cities in China to analyse the correlation between CHE and 22 geography secondary indexes through spearman regression analysis. Six indexes with significant correlation were extracted, and a ridge regression model was built, and the country's urban CHE reference value of healthy Chinese was predicted. By using the disjunctive kriging method, we obtained the geographical distribution of CHE reference values for healthy people in China. The reference value of CHE for healthy Chinese was significantly correlated with the 6 secondary indexes, namely, latitude (°), altitude (m), annual average temperature (°C), annual average relative humidity (%) and annual precipitation (mm), and topsoil sand gravel percentage (% wt). The geographical distribution of CHE values of healthy Chinese showed a trend of being higher in southeast China and lower in northwest. This study lays a foundation for further research on the mechanism of different influencing factors on the reference value of CHE index. A ridge regression model composed of significant influencing factors has been established to provide the basis for formulating reference criteria for the treatment factors of the liver damage diseases and livercancer using CHE reference values in different regions.
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