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基于因子分析的老年男性肺活量与地理因素 被引量:3

The geography distributing rule of Chinese old men′s vital capacity based on factor analysis
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摘要 目的为制定中国老年男性肺活量参考值的统一标准提供科学依据。方法搜集了中国用肺量计测定的85个单匣的12405例健康老年男性肺活量参考值。运用相关分析的方法研究了其与海拔高度(X1),年日照时数(X2),年平均相对湿度(X3),年平均气温(X4),年降水量(X5)和气温年较差(X6)的关系。结果发现年平均相对湿度是影响老年男性肺活量最主要的因素(r3=-0.414),随着年平均相对湿度的增加而老年男性肺活量参考值在减小。运用因子分析将6个地理因素综合为2个公共因子F1,F2,用其得分值代替推导出的回归方程:=3.247+0.000749F1±0.103,用该方程计算出中国4383个观测点的参考值,应用GIS空间分析精确内插出中国老年男性肺活量参考值地理分布图。结论若已知中国某地的海拔高度(X1),年日照时数(X2),年平均气温(X3),年平均相对湿度(X4),年降水量(X5)和气温年较差(X6),可用该方程计算出该地肺一氧化碳弥散量参考值,从空间趋势分布图也可得到中国任何地方的肺一氧化碳弥散量参考值。 Objective To supply a basis for uniting the reference value of Chinese old men′s vital capacity (VC). Methods Factor analysis was made about the relationship between the reference values of 12 405 cases of Chinese old health men′s VC and six geographical factors in Chinese areas, which were determined by spirometer. Results Annual mean relative humidity was the main factor affecting the reference value of Chinese old men′s VC(r3=-0.414). As the annual mean relative humidity was increased gradually, the reference value of VC was decreased gradually. Six geographical factors had been changed into public factor F1 and F2 by factor analysis, a regression equation had been referred with its′ values instead of the original data points: =3.247+0.000 749F1±0.103. The normal reference values of Chinese old men′s VC at 4 383 observation points had been calculated in China by this equation, and the distribution map which based on these normal reference values had been made by spatial analysis of GIS.Conclusions If geographical values are obtained in some areas, the reference value of Chinese old men′s VC of this area can be reckoned using the regression equation, the distribution map also shows the reference value of Chinese old men′s diffusion capacity for carbon monoxide of lung in China.
出处 《中国老年学杂志》 CAS CSCD 北大核心 2009年第9期1123-1126,共4页 Chinese Journal of Gerontology
基金 国家自然科学基金资助项目(40671005) 陕西师范大学研究生培养创新基金资助项目(2008CXS016)
关键词 肺活量 地理因素 因子分析 空间分析 Vital capacity Geographical factors Factor analysis Spatial analysis
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