Abstract: Methods　300 middle-aged and elderly people（122 males,178 females） were selected from 4 districts and counties（Jianxi District,Xigong District,Mengjin County and Yanshi County） by using multistage stratified cluster sampling method from March to July 2014. The functional indexes of pulmonary ventilation such as forced vital capacity（FVC） and forced expiratory volume at the first second（FEV1） and FEV1/FVC were measured by using Japan PM-81 chest scanning apparatus,and each actual index was analyzed by multiple linear stepwise regression method to get the predicted value equation. Results　There were significant differences in FVC and FEV1 among the middle-aged and elderly people of different genders（P<0.05）;but there was no significant difference in FEV1/FVC（P>0.05）. There were significant differences between FVC and FEV1 among the male middle-aged and elderly people of different ages（P<0.05）;but there was no significant difference in FEV1/FVC（P>0.05）. There were significant differences in FVC and FEV1 among the female middle-aged and elderly people of different ages（P<0.05）;but there was no significant difference in FEV1/FVC（P>0.05）. With FVC as the dependent variable,the results of multiple linear stepwise regression analysis showed that age and stature ultimately entered the regression equation,FVC=-2.369-0.019 age+3.488 stature in terms of male middle-aged and elderly people（R2=0.203,F=15.121,P<0.001）;for female middle-aged and elderly people,age,stature,and body mass ultimately entered the regression equation,FVC=-0.941-0.021 age+2.842 stature-0.008 body mass（R2=0.222,F=16.542,P<0.001）. With FEV1 as the dependent variable,the results of multiple linear stepwise regression analysis showed that age and stature ultimately entered the regression equation,FEV1=-0.203-0.022 age+2.012 stature in terms of male middle-aged and elderly people（R2=0.220,F=16.761,P<0.001）;for female middle-aged and elderly people,age and stature ultimately entered the regression equation,FEV1=1.340-0.025 age+0.986 stature（R2=0.213,F=23.638,P<0.001）. Conclusion　Age and stature are the main factors that affect pulmonary ventilation function;and body mass has less effects on pulmonary ventilation function. The predicted value equation of pulmonary ventilation function that originates from Luoyang area in 300 middle-aged and elderly people is established,and this equation is suitable for the middle-aged and elderly people in Luoyang area.

Key words: Middle aged, Aged, Pulmonary ventilation, Predictive value equations

摘要： 目的　建立中老年人肺通气功能的预计值方程式，并探讨中老年人肺功能的特点。方法　于2014年3—7月，采用多阶段分层整群抽样法，在涧西区、西工区、孟津县和偃师县4个区县抽取中老年人群300例，其中男122例，女178例。采用日本PM-81型胸描仪测定用力肺活量（FVC）、第1秒用力呼气末容积（FEV1）、FEV1/FVC等肺通气功能指标，并对各实测指标进行多元线性逐步回归分析，得出预计值方程式。结果　不同性别中老年人FVC、FEV1间差异有统计学意义（P<0.05）；而FEV1/FVC间差异无统计学意义（P>0.05）。不同年龄的中老年男性FVC、FEV1间差异有统计学意义（P<0.05）；而FEV1/FVC间差异无统计学意义（P>0.05）。不同年龄的中老年女性FVC、FEV1间差异有统计学意义（P<0.05）；而FEV1/FVC间差异无统计学意义（P>0.05）。以FVC为因变量的多元线性逐步回归分析结果显示，对于中老年男性而言，年龄、身高最终进入回归方程，FVC=-2.369-0.019年龄+3.488身高（R2=0.203，F=15.121，P<0.001）；对于中老年女性而言，年龄、身高、体质量最终进入回归方程，FVC=-0.941-0.021年龄+2.842身高-0.008体质量（R2=0.222，F=16.542，P<0.001）。以FEV1为因变量的多元线性逐步回归分析结果显示，对于中老年男性而言，年龄、身高最终进入回归方程，FEV1=-0.203-0.022年龄+2.012身高（R2=0.220，F=16.761，P<0.001）；对于中老年女性而言，年龄、身高亦最终进入回归方程，FEV1=1.340-0.025年龄+0.986身高（R2=0.213，F=23.638，P<0.001）。结论　年龄和身高是影响肺通气功能的主要因素，体质量对肺通气功能影响较小。建立了源自洛阳地区300例中老年人的肺通气功能预计值方程式，该方程式更适合应用于洛阳地区中老年人。

关键词: 中年人, 老年人, 肺通气, 预计值方程式