Factor analysis-based relationship analysis between geographical factors and value of FEV1. 0% in aged Chinese males / 第二军医大学学报

ABSTRACT

Objective: To provide a scientific basis for establishing a standard reference value of FEV1. 0% for aged Chinese males. Methods: The reference values of FEV1. 0% of 4 342 healthy aged Chinese males were collected from hospitals, research units, and higher institutions of 72 counties or cities. Correlation analysis, factor analysis and GIS software were used to investigate the relationship between the reference values of FEV1. 0% with six geographical factors. Results: It was found that the reference values of FEV1. 0% in aged Chinese males were significantly associated with geographical factors. Factor analysis and regression analysis yielded a regression equation as y = 79.279 8 + 0.000 901 5X1 -0. 001 931 4X2 + 0. 001 966 8X 3 - 0.002 615X4+0.001 293 4X5+0.001 650 3X 6 ±1.032 8. The fitting degree between the predicted and the measured values was high. With the aid of geostatistical analysis module of GIS spatial analysis and Kriging interpolation method, we interpolated the geographical distribution map of the reference value of FEV1. 0% in aged Chinese males. Conclusion: The regression equation can be used to accurately calculate the reference value of FEV1. 0% for aged Chinese males, if the geographical values for an area are available. The reference value of FEV1. 0% can also be obtained by the geography Trend-surface distribution map of an area.