目的探讨健康中老年高峰充盈率(PFR)参考值与地理因素的关系。方法收集全国22个省、市、自治区32个城市66个单位测定的2 770例健康中老年PFR参考值,应用SPSS19.0软件,综合运用相关分析的方法,研究其与9项地理指标的关系,再进行多元线性回归及因子分析模拟出最优预测模型,最终绘制健康中老年的PFR空间分布图。结果发现健康中老年PFR参考值与地理指标间有显著的相关关系。通过对比分析多元线性回归及因子预测模型,得出健康中老年PFR参考值的预测模型为线性回归预测模型。结论通过中国某地的地理环境指标值,运用该模型就可以计算出该地健康中老年PFR预测参考值,也可以从地理分布图中得到我国某地健康中老年PFR参考值。
Objective To reveal the geographical distribution of reference value of peak filling rate ( PFR) of healthy middle-aged and the old in China .Methods The reference values of PFR of 2 770 healthy middle-aged and the old were collected from 66 units in 32 cit-ies of 22 provinces in China .And the correlation analysis was used to find the correlation between nine geographical factors and the PFR refer -ence value of healthy middle-aged and the old.Then,multiple linear regression and factors analysis were used to simulate the optimal predic-tion models.Results There was significant relationship between the geographical factors and PFR reference value .And the best prediction model was multiple linear regression analysis equation .Conclusions If the geographical factors in some area in China are known ,the normal reference values of peak filling rate in this area could be reckoned by regression equation .The PFR reference value of healthy middle-aged and the old could be obtained anywhere from the geographical distribution .