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目的建立沈阳市健康儿童肺功能预测方程。方法采用整群随机抽样法在沈阳市5个行政区各抽取1所小学和1所初中,将10所学校三年级到九年级所有儿童作为研究对象。身高、体质量和肺功能指标按照标准化程序由经过培训的调查员进行测量。应用线性回归模型建立不同性别的肺功能预测方程。结果在调查的1 087例儿童中,除年龄外其他指标[身高、体质量、用力肺活量(FVC)、一秒用力呼气容积(FEV1)、最大呼气中期流量(MMEF)和最大呼气流速峰值(PEF)]在不同性别组间均具有统计学差异(P<0.05)。不同性别的FVC、FEV1、MMEF和PEF(因变量)等肺功能指标与年龄、身高和体质量(自变量)之间的回归预测方程具有较好的拟合优度。结论本研究建立了沈阳市城区9~15岁儿童肺功能预测方程。
Objective To establish the lung function prediction equation of healthy children in Shenyang City. Methods A cluster random sampling method was used to select 1 primary school and 1 junior high school from 5 districts in Shenyang City. All children from the third grade to the ninth grade in 10 schools were studied. Height, body mass, and lung function were measured by trained investigators following standardized procedures. The linear regression model was used to establish the lung function prediction equation of different genders. Results Among the 1,087 children surveyed, other indicators of age (height, body mass, forced vital capacity (FVC), forced expiratory volume in one second (FEV1), mean maximal expiratory flow (MMEF) and maximum expiratory flow Peak (PEF)] were statistically significant between different sex groups (P <0.05). The regression equations between age, height, and body mass (independent variable) such as FVC, FEV1, MMEF and PEF (dependent variable) of different genders have better fitting goodness of fit. Conclusion This study established the pulmonary function prediction equation for children aged 9-15 in Shenyang city.