| 成年人左心室收缩末期内径参考值与地理环境因子的关系 |
| 投稿时间：2014-06-16 修订日期：2014-06-19 点此下载全文 |
| 引用本文：韩啸,董婕,葛淼,王子轩,何进伟.成年人左心室收缩末期内径参考值与地理环境因子的关系[J].医学研究杂志,2015,44(1):44-47 |
| DOI：
10.3969/j.issn.1673-548X.2015.01.013 |
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| 基金项目:国家自然科学基金资助项目(40971060) |
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| 中文摘要:目的 将地理环境因子对左心室收缩末期内径(LVDs)的影响纳入考量范围,综合生理和非生理因素确定参考值的地理分布,为临床检查提供科学依据。方法 搜集全国198个单位测定的10776例LVDs参考值,以空间自相关Moran指数确定LVDs与空间地理因素存在关系。选取11个地理环境指标与LVDs进行相关分析,经共线性诊断确定以主成分分析的方法建模,并选择构建径向基函数神经网络进行对比建模,并检测实测值与预测值的拟合度,最后利用克里格插值法内插出中国健康成年人LVDs参考值的地理分布并拟合出其三维空间趋势图。结果 健康成年人LVDs参考值与年日照时数等6项地理环境指标存在显著相关,参考值的总体趋势自西向东递减而后递增,自北向南递减。结论 通过一个地区的地理环境指标可以进行LVDs参考值的预测,将地统计分析与医学分析相结合,更加科学的预测人体环境的地区差异性。 |
| 中文关键词:左心室收缩末期内径 地理环境因子 莫兰指数 主成分分析 径向基函数网络 |
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| Relationship between Left Ventricular End Systolic Diameter of Healthy Adults and Geographical Factors |
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| Abstract:Objective Taking the consideration of the relationship between geographical environment factors and left ventricular end systolic diameter (LVDs) to make the unified standard of reference values for healthy adults. Methods We collected the LVDs reference values of 10776 healthy people from 198 different units in China.We choosed 11 geographical environment factors by using the Moran's I index to make sure the space relationship between LVDs data and geographic factors,and calculated the correlation index between LVDs and 11 geographical environment factors based on correlation analysis.Through collinearity diagnosis, we choosed the principal component analysis method to build the predicted model,selected the radial basis function neural network as the compared model, with the comparison of measured values.The principal component regression model was select to predict. And also we detected goodness for fit, finally by the method of paired sample t test, and made the distribution map through the Kriging interpolation method and fitted the three-dimensional trend of reference values. Results There was a significant correlation between 6 environment geographical factors and LVDs.The LVDs values which located in the same color was equal.The greater the color changes the faster the reference value varies.The overall trend of reference values were decreasing from north to south. Conclusion Integrated geographical and physiological factors can be more scientific to predict the reference values.It can help the clinical diagnosis accurately and prevention timely. |
| keywords:Left ventricular end systolic diameter (LVDs) Geographical environment factors Moran's index Principal component analysis Radial basis function neural network |
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