中年男性红细胞压积正常参考值与地理因素的因子分析

目的:为制定中国中年男性红细胞压积正常参考值的统一标准提供科学依据．方法:收集了中国380个地区用温氏法(Wintrobe)测定的32475例健康中年男性红细胞压积正常参考值,运用偏相关分析和因子分析对其与海拔高度(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)的关系进行了研究．结果: 5个地理影响因素值与中年男性红细胞压积正常参考值的偏相关系数分别为: r1,2345=0.651,r2,1345= -0．039,r3,1245=-0．040,r4,1235=-0．281,r5,1234=0．125．运用因子分析将5个地理影响因素综合成两个公共因子F1,F2,并用其得分值代替原始数据推导出一个回归方程: y=48 464 0．1738F1-0.4125F2±4 5％结论:海拔高度是影响中年男性红细胞压积正常参考值的最主要因素．随着海拔高度逐渐增大,中年男性红细胞压积正常参考值也逐渐增大,相关性很显著．如果知道中国某地的地理因素值,可以用公因子的回归方程来估算中国某地的中年男性红细胞压积正常参考值．依据中年男性红细胞压积正常参考值与地理因素的依赖关系把中国分为青藏区,西南区,西北区,东南区,华北区,东北区六个区．     

中年女性红细胞计数正常参考值与地理因素的相关分析

目的：为制定中国中年女性红细胞计数正常参考值的统一标准提供科学依据.方法：收集了中国331个单位用显微镜计数法测定的41003例中年女性红细胞计数正常参考值,运用相关分析和回归分析的方法,研究了其与八个地理因素的关系.结果：发现中年女性红细胞计数正常参考值与中国地理因素之间有很显著的相关关系（F=364.76,P=0.000）.用逐步回归分析的方法推导出了一个回归方程：Y^=4.184＋0.0002421X1-0.02921X4＋0.0002582X7＋0.08144X8±0.47.结论：如果知道了中国某地的地理因素,就可以用回归方程计算这个地区的红细胞计数正常参考值.依据红细胞计数正常参考值与地理因素的依赖关系,把中国分为八个区.     

老年前期人红细胞压积参考值与中国地理因素的关系

运用相关分析和回归分析的方法,研究了老年前期人红细胞压积参考值与地理因素的关系,结果表明海拔高度是影响红细胞压积参考值最主要的因素。     

中国健康老年前期人全血比粘度参考值与地理因素的关系

目的为制定中国健康老年前期人全血比粘度参考值的统一标准提供科学依据。方法收集了全国各地用毛细管法测定的健康老年前期人全血比粘度参考值,并对其与地理因素的关系进行了研究。结果发现海拔高度是影响健康老年前期人全血比粘度参考值最主要的因素,随着海拔高度的逐渐增大,健康老年前期人全血比粘度参考值也在逐渐的增大,相关性很显著。用逐步回归分析的方法推导出了二个回归方程。结论如果知道了中国某地的地理因素,就可以用这二个回归方程估算这个地区的健康老年前期人全血比粘度参考值。依据健康老年前期人全血比粘度参考值与地理因素的依赖关系把中国分为青藏区,西南区,西北区,东南区,华北区,东北区等六个区。     

中国青年人全血比粘度参考值与地理因素的关系

为制定中国青年人全血比粘度参考值的标准提供科学依据,收集了中国各地用毛细管法测定的健康青年人全血比粘度参考值,并对其与地理因素的关系进行了研究,发现海拔高度是影响青年人全血比粘度参考值最主要的因素,随着海拔高度的逐渐增大,青年人全血比粘度参考值也在逐渐的增大,相关性很显著。用逐步回归分析的方法推导出了２个回归方程。如果知道了中国某地的地理因素,就可以用这２回归方程估算这个地区的青年人全血比粘度参考     

男性新生儿血红蛋白正常参考值与中国地理因素

目的:为制定中国男性新生儿血红蛋白正常参考值的统一标准提供科学依据。方法:收集了中国78个单位用氰化高铁血红蛋白(HiCN)法测定的5169例男性新生儿血红蛋白正常参考值,运用相关分析和回归分析的方法,研究了其与地理因素的关系。结果:发现男性新生儿血红蛋白正常参考值与中国地理因素之间有很显著的相关关系(F=17.93)。用逐步回归分析的方法推导出了一个回归方程:Y=156.8+0.01670X1+0.4140X3-0.008596X5±25.1。结论:如果知道了中国某地的地理因素,就可以用回归方程估算这个地区的血红蛋白正常参考值。依据血红蛋白正常参考值与地理因素的依赖关系把中国分为青藏区、西南区、西北区、东南区、华北区、东北区等六个区。     

基于偏最小二乘回归的中国青春期男性肺活量参考值与地理因素的关系

目的：为制定中国青春期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法测定72个单位的213881例健康青春期男性肺活量参考值.运用相关分析的方法研究了其与海拔高度（X_1）,年日照时数（X_2）,年平均相对湿度（X_3）,年平均气温（X_4）,年降水量（X_5）,气温年较差（X_6）,年平均风速（X_7）的关系.结果：发现青春期男性肺活量参考值与地理因素之间有显著的相关关系.用偏最小二乘回归分析的方法建立了青春期男性肺活量参考值与地理因素的回归模型：Y=3024.77-0.131640X_1＋0.022388X_2＋2.381548X_3-1.344117X_4-0.030850X_5＋7.881706X_6＋39.820870X_7±557.93,并用Arcgis软件中的空间差值内插出中国青春期男性肺活量参考值的空间趋势分布图.结论：知道中国某地的地理因素,就可用此模型估算该地区青春期男性肺活量参考值,同时也可用空间趋势图直观的得到中国任何地方的青春期男性肺活量参考值.     

中国中年男性红细胞压积参考值与海拔高度的关系

红细胞压积是血液流变学的一个重要指标,目前,国内外缺乏血液流变学指标参考值的统一标准,严重影响了临床和科研成果的准确性和可比性,为制定中国中年男性红细胞压积参考值的统一标准提供科学依据,很多人测定了本地区的中年男性红细胞压积参考值,对中年男性红细胞压...     

基于地理因素的健康中老年(40-65)P_aO_2参考值预测研究

动脉血氧分压(P_aO_2)参考值是医学诊治的重要指标,并随地理因素的变化而变化.鉴于各地参考值的不同,本文从地理因素角度出发,利用各地的各项地理因素指标,与各地的健康中老年动脉血氧分压参考值建立相关分析和回归分析,以此建立较为精确的预测模型,用以验证已知地区和预测未知地区的参考值.其建立的预测模型为医学参考值的制定提供了新的方法,并促进了地理资源的实践发展.     

中国健康中年男性全血比粘度参考值与海拔高度的关系

为制定中国健康中年男性全血比粘度参考值的统一标准提供科学依据,本文收集了中国各地用毛细管法测定的健康中年男性全血比粘度参考值,并对其与海拔高度的关系进行了研究,发现随着海拔高度的逐渐增高,健康中年男性全血比粘度参考值也在逐渐的增大,相关性很显著,用一元回归分析的方法推导出了一个回归方程,如果知道了中国某地的海拔高度,就可以用回归方程估算这个地区的健康中年男性全血比粘度参考值。     

Normal Reference Value of Hemoglobin of Older Boys and Geographical Factors

In order to supply a scientific basis for uniting the normal reference value standard of hemoglobin of Chinese older boys. METHODS: A research is made about the relationship between the normal reference value of 14751 examples of hemoglobin of older boys and five geographical factors in 92 areas in China, which are determined by the hemoglobincyanide method. RESULTS: It is found that the correlation of geographical factors and the normal reference value of hemoglobin of older boys are quite significant (F = 9.68). By using the method of multiple linear regression analysis, one regression equation is inferred: Y = 108.0 + 0.003633X1 + 0.003945X2 + 0.1680X3 - 0.6310X4 + 0.005518X5 +/- 8.3. CONCLUSION: If geographical values are obtained in some areas, the normal reference value of hemoglobin of older boys of this area can be reckoned by using the regression equation. Furthermore, the depending on the geographical factors, China can be divided into six districts: Qingzang, Southwest. Northwest, Southeast, North and Northeast district.     

The Relationship Between the Reference Value of Erythrocyte Sedimentation Rate and Geographical Factors

In order to provide a scientific basis for a unified standard of the reference value of erythrocyte sedimentation rate (ESR) in China, the reference value of healthy people's ESR has been collected. The relationship between the reference value of ESR and geographical factors is examined in this paper. Altitude is the most important factor affecting the reference value of ESR, which decreases with increasing altitude; the relationship is quite significant. The method of stepwise regression analysis was used to deduce two regression equations: ₁=12.08-0.00222X₁+0.00114X₅ ± 2.95, ₂=18.81-0.00323X₁+0.239X₄ ± 4.70. If the geographical factor value of a particular area in China is known, the reference value of ESR of Chinese people can be calculated by means of the regression equations. Furthermore, the dependence on geographical factors in China can be classified as six districts: Qingzang, Southwest, Northwest, Southeast, North and Northeast.     

Reference values for erythrocyte sedimentation rate of middlescent people as a function of altitude

The purpose of this paper is to provide a scientific basic for a unified standard for the reference value of middlescent people's erythrocyte sedimentation rate (ESR) in China. ESR measurements for healthy middlescent people were collected according to the Wintrobe method and the relationship between the reference value of middlescent people's ESR and altitude was tested in this paper It was found that the reference value of middlescent people's ESR decreases when the altitude gradually increases, and the relationship is quite significant. Univariate regression analysis was used to deduce two regression equations: Y1 = 13.14-0.00245X +/- 2.98 (males) and: Y2 = 22.00-0.00397X +/- 4.85 (females). If the altitude value of a particular area of China is known, the reference value of middlescent people's ESR can be calculated by means of these regression equations. Furthermore, depending on the altitude, China can be divided into three biogeographic districts: Qingzang District, Central District, and Eastern District.     

Predictive models and spatial variations of vital capacity in healthy people from 6 to 84 years old in China based on geographical factors

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 (X ₁), annual duration of sunshine (X ₂), annual mean air temperature (X ₃), annual mean relative humidity (X ₄), annual precipitation amount (X ₅), annual air temperature range (X ₆) and annual mean wind speed (X ₇). 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.