Cowie H, Lloyd M H, Soutar C A
Thorax. 1985 Jun;40(6):438-43. doi: 10.1136/thx.40.6.438.
As a rational approach to the many lung function tests available, we have subjected the results of a battery of six lung function measurements made in 458 coalminers to the statistical technique of principal components analysis. By this means the six test results were reduced to three principal components without important loss of information. The first component appeared to represent lung size and the second the degree of airflow obstruction, and the third detected impairment of gas transfer factor in excess of that explained by the first two components. The values of the first principal component, used to select men with abnormal lung function, identified more younger men with functional abnormalities than a method based on comparison of observed and predicted values of forced expiration volume in one second. The values of the second and third principal components were used to classify types of functional abnormality. It is concluded that this statistical technique provides a sensitive method of identifying men with unusual lung function, particularly younger men, in a population and can be used to define and quantify different aspects of lung function.
作为一种针对众多现有肺功能测试的合理方法，我们对458名煤矿工人进行的一组六项肺功能测量结果进行了主成分分析这一统计技术处理。通过这种方式，六项测试结果被缩减为三个主成分，且没有重要信息丢失。第一个成分似乎代表肺的大小，第二个代表气流阻塞程度，第三个检测出气体转移因子的损害超过了前两个成分所解释的程度。用于选择肺功能异常男性的第一个主成分的值，比基于一秒用力呼气量的观察值和预测值比较的方法识别出更多有功能异常的年轻男性。第二和第三个主成分的值被用于对功能异常类型进行分类。得出的结论是，这种统计技术提供了一种敏感的方法，可在人群中识别肺功能异常的男性，尤其是年轻男性，并且可用于定义和量化肺功能的不同方面。
