He Jinwei, Ge Miao, Wang Congxia, Jiang Naigui, Zhang Mingxin, Yun Pujun
Institute of Healthy Geography, College of Tourism and Environment, Shaanxi Normal University, 199 South Chang'an Road, Xi'an, 710062, Shaanxi, China,
Int J Biometeorol. 2014 Jul;58(5):769-79. doi: 10.1007/s00484-013-0658-7. Epub 2013 May 19.
The aim of this study was to provide a scientific basic for a unified standard of the reference value of vital capacity (VC) of healthy subjects from 6 and 84 years old in China. The normal reference value of VC was correlated to seven geographical factors, including altitude (X1), annual duration of sunshine (X2), annual mean air temperature (X3), annual mean relative humidity (X4), annual precipitation amount (X5), annual air temperature range (X6) and annual mean wind speed (X7). Predictive models were established by five different linear and nonlinear methods. The best models were selected by t-test. The geographical distribution map of VC in different age groups can be interpolated by Kriging's method using ArcGIS software. It was found that the correlation of VC and geographical factors in China was quite significant, especially for both males and females aged from 6 to 45. The best models were built for different age groups. The geographical distribution map shows the spatial variations of VC in China precisely. The VC of healthy subjects can be simulated by the best model or acquired from the geographical distribution map provided the geographical factors for that city or county of China are known.
本研究旨在为制定中国6至84岁健康人群肺活量（VC）参考值的统一标准提供科学依据。VC的正常参考值与七个地理因素相关，包括海拔（X1）、年日照时长（X2）、年平均气温（X3）、年平均相对湿度（X4）、年降水量（X5）、年气温极差（X6）和年平均风速（X7）。通过五种不同的线性和非线性方法建立预测模型。通过t检验选择最佳模型。使用ArcGIS软件通过克里金法插值不同年龄组VC的地理分布图。研究发现，中国VC与地理因素的相关性相当显著，尤其是6至45岁的男性和女性。为不同年龄组建立了最佳模型。地理分布图精确显示了中国VC的空间变化。如果已知中国某个城市或县的地理因素，健康人群的VC可以通过最佳模型模拟或从地理分布图中获取。
