肺顺应性和肺总量正常参考值的地理分布

发布时间：2018-06-01 08:07

本文选题：地理因素 + 主成分分析　；参考：《陕西师范大学》2009年硕士论文

【摘要】： 肺顺应性和肺总量监测都是肺功能监测的重要指标,肺顺应性和肺总量的正常参考值在临床上有着至关重要的作用,可以用来确切地反应不同年龄不同性别的人的呼吸功能状况。肺顺应性有助于深入了解肺内气体的传输和分布问题;定量研究肺顺应性的改变,对于研究慢性阻塞性肺疾病的发病机理非常重要,而且肺顺应性的测定在临床麻醉和复苏方面也起着重要的作用.肺总量测定是临床诊断和疾病防治的重要依据,是医学临床检验中重要的参考指标,对判断机体是否发生病变具有极其重要的意义。本论文的研究方法的创新之处在于对肺顺应性和肺总量的正常参考值与地理因素进行了定量化的研究,并以中国整个区域为研究对象,借助GIS空间分析的方法精确的绘制出正常参考值的趋势分布图。虽然也有少数医学工作者的研究涉及到肺功能某些指标的正常参考值与地理因素的关系,但也仅仅是定性描述或是简单的相关关系,逐步回归分析等。像本文这样对肺顺应性和肺总量的正常参考值与5项地理因素指标之间运用主成分分析方法进行定量化和专题化的研究,从整个地理环境着手,以中国整个大区域不同年龄和性别为研究对象,国内外还未见报道。本论文的主要研究成果是运用主成分分析将原来共线性很大的五个地理指标转化为五个无共线性的变量,选择主成分个数,进行回归分析,得出正常参考值与地理因素的数学模型。以此模型可以方便的估算和验证中国某一地区不同年龄段不同性别的肺顺应性和肺总量的正常参考值,运用GIS空间分析方法绘制出中国不同年龄不同性别肺顺应性和肺总量正常参考值的分布图。本论文的研究方法和研究成果将丰富临床医学,临床检验学,医学地理学,环境医学及生理学的内容。为了探讨肺顺应性和肺总量正常参考值与地理因素之间的关系,本论文通过大量检索文献,以及向有关单位求购的方法,收集了全国各地不同年龄不同性别的肺顺应性和肺总量正常参考值的医学指标,主要为中年人肺顺应性正常参考值、老年前期人肺顺应性正常参考值、青年男性肺总量正常参考值、中年女性肺总量正常参考值、老年前期男性肺总量正常参考值、老年前期女性肺总量正常参考值和老年人肺总量正常参考值。根据国家测绘局数据中心提供的共享资料,国家气象局数据中心提供的共享资料及有关地理著作、词典和相关文献,收集了五项地理因素指标:海拔高度(X_1)、年日照时数(X_2)、年平均气温(X_3)、年平均相对湿度(X_4)、年降水量(X_5)。对肺顺应性和肺总量的正常参考值与5项地理因素指标之间运用主成分分析方法进行定量化和专题化的研究,并且建立了主成分回归模型。其模型分别为: (1)中年人肺顺应性正常参考值与地理因素的主成分分析回归模型:(?)=0.0757-0.00000293X_1-0.0000256X_2-0.00205X_3+0.00122X_4-0.0000150X_5±0.0191 (2)老年前期人肺顺应性正常参考值与地理因素的主成分分析回归模型:(?)=0.0860-0.00000401X_1-0.0000341X_2-0.00231X_3+0.00147X_4-0.0000176X_5±0.0197 (3)青年男性肺总量正常参考值与地理因素的主成分分析回归模型:(?)=6.064+0.000114X1+0.0000489X2-0.0145X3-0.00527X4-0.000265X5±0.599 (4)中年女性肺总量正常参考值与地理因素的主成分分析回归模型:(?)=4.897+0.000305X1-0.0000702X2-0.00499X3-0.00393X4-0.0000272X5±0.630 (5)老年前期男性肺总量正常参考值与地理因素的主成分分析回归模型:(?)=5.771+0.000278X1+0.00000935X2-0.0162X3-0.00707X4-0.000373X5±0.412 (6)老年前期女性肺总量正常参考值与地理因素的主成分分析回归模型:(?)=4.797+0.000205X1-0.0000441X2-0.00238X3-0.00342X4-0.000247X5±0.089 (7)老年男性肺总量正常参考值与地理因素的主成分分析回归模型:(?)=5.732+0.000132X1-0.00000331X2-0.00983X3-0.00247X4-0.0000677X5±0.493 通过上面的回归模型,计算出各个地区不同年龄不同性别人的肺顺应性和肺总量参考值的预测值,运用成对样本T检验的方法,检测实测值与预测值之间的差别有无统计学意义。本文选取了全国4383个市县乡镇作为观测点,将各个观测点的地理指标带入以上的主成分分析回归模型中,计算出这4383个市县乡镇不同性别和不同年龄人肺顺应性和肺总量正常参考值的预测值,在已矢量化好的地图上准确定位这4383个市县乡镇,应用GIS软件中的地统计分析模块(Geostatistical Analyst)进行克里格(Kriging)插值。绘制出不同性别不同年龄人肺顺应性和肺总量正常参考值分布图。如果我们知道了某地的地理指标,就可以用以上模型估算出该地区不同年龄不同性别的肺顺应性和肺总量正常参考值,从地理分布图也可以得到中国任何地方的肺顺应性和肺总量正常参考值。
[Abstract]:Lung compliance and total lung volume monitoring are important indexes of lung function monitoring . The study of lung compliance and the normal reference value of total lung volume plays an important role in clinical diagnosis and recovery .

In order to study the relationship between the normal reference value of lung compliance and the normal reference value of the total lung volume and the geographical factors , this paper collects the normal reference value of the lung compliance and the normal reference value of the total lung volume in different ages of the whole country through a large number of literature searches , and the normal reference value of the total lung volume in the middle age , the average relative humidity in the middle age ( X _ 2 ) , the annual average temperature ( X _ 3 ) , the annual average relative humidity ( X _ 4 ) and the annual precipitation ( X _ 5 ) .

( 1 ) Regression model of main component analysis of normal reference value and geographical factors of lung compliance in middle - aged man : ( ? ) = 0.0757 - 0.00000293X _ 1 - 0.0000256X _ 2 - 0.00205X _ 3 + 0.00122X _ 4 - 0.0000150X _ 5 卤 0.0191

( 2 ) Regression model of main component analysis of normal reference value and geographical factors of lung compliance in the early stage : ( ? ) = 0.0860 - 0.00000401X _ 1 - 0.0000341X _ 2 - 0.00231X _ 3 + 0.00147 X _ 4 - 0.0000176X _ 5 卤 0.0197

( 3 ) The main component analysis and regression model of the normal reference value and geographical factors of the total lung volume in young men : ( ? ) = 6.064 + 0.0001X1 + 0.0000489X2 - 0.0145X3 - 0.00527X4 - 0.00000265X5 卤 0.599

( 4 ) Regression model of main component analysis of normal reference value and geographical factors of total lung volume in middle age : ( ? ) = 4.97 + 0.00000305X1 - 0.0000702X2 - 0.00499X3 - 0.00393X4 - 0.0000272X5 卤 0.630

( 5 ) The main component analysis and regression model of the normal reference value and geographical factors of the total lung volume in the early stage of the elderly : ( ? ) = 5.771 + 0.00000278X1 + 0.0000000935X2 - 0.0162X3 - 0.00707X4 - 0.00000373X5 卤 0.412

( 6 ) The main component analysis and regression model of the normal reference value and geographical factors of the total lung volume in the early stage of the elderly : ( ? ) = 4.797 + 0.0005X1 - 0.0000441X2 - 0.00238X3 - 0.00342X4 - 0.00000247X5 卤 0.089

( 7 ) Regression model of main component analysis of the normal reference value and geographical factors of total lung volume in elderly men : ( ? ) = 5.732 + 0.000132X1 - 0.00000331X2 - 0.00983X3 - 0.00247X4 - 0.0000983X3 - 0.00247X4 - 0.0000677X5 卤 0.493

Based on the above regression model , the prediction value of lung compliance and lung volume reference value of different ages in different regions was calculated , and the difference between the measured value and the predicted value was detected by using the method to test the sample T .

In this paper , 4383 counties and towns in the country are selected as observation points , and the geographical indexes of each observation point are brought into the main component analysis and regression model . The prediction values of the lung compliance and the normal reference value of the total lung volume in these 4383 counties and towns are calculated , and Kriging interpolation is performed on the vectorized map . Geostatistical Analyst is applied to interpolate Kriging .

If we know a certain geographical indicator , we can use the above model to estimate the lung compliance and the normal reference value of the lung volume in different ages in the region , and the lung compliance and the normal lung volume reference value can be obtained from the geographic distribution map .
【学位授予单位】：陕西师范大学
【学位级别】：硕士
【学位授予年份】：2009
【分类号】：R188

【引证文献】