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目的测定浙江省不同地区正常人群肺通气功能正常参考值及探讨不同生活环境、年龄、身高、体质量等因素与肺通气功能的关系。方法采用便携式肺功能仪对经过基础体格检查并确定为正常人的1432名不同年龄阶段的人群进行肺通气功能检测,取最能反映肺通气功能的4个指标:用力呼气肺活量(FVC)、用力呼气1秒量(FEV1)、最高呼气流速(PEF)、中段呼气流速(MMEF75/25)做多元逐步线性回归,分析地域、年龄、性别、身高、体质量等因素对肺通气功能的影响。结果部分肺通气功能指标(男性7项、女性8项)城乡之间差异有统计学意义(P<0.05,P<0.01),10～18岁是肺通气功能增长迅速期,每2岁的1个年龄段的变化大于或等于成人每10岁1个年龄段的变化;其中,深吸气量(IC)、1秒率(FEV1/FVC%)、75%呼气流速(FEF75%)18岁达到高峰,补呼气量(ERV)、肺活量(VC)、FEV1、FVC、每分最大通气量(MVV)、PEF、25%呼气流速(FEF25%)、50%呼气流速(FEF50%)、FEF75%、MMEF75/25则在26岁达到高峰然后均呈逐渐下降趋势。线性回归方程显示身高对VC的影响最为明显,而年龄、体质量的影响则因指标而异。结论浙江省部分地区正常人群肺通气功能生理预计值存在地域差异,多数肺通气功能指标随年龄的增长而发生变化,地域、身高、年龄、体质量对肺通气功能的影响不容忽视。
Objective To determine the normal reference value of pulmonary function in normal population in different areas of Zhejiang Province and to explore the relationship between pulmonary ventilation function and different living environment, age, height, body weight and other factors. Methods Pulmonary ventilation tests were performed in 1432 people of different ages who had undergone physical examination and were determined to be normal by portable lung function test. Four indexes that most reflect the function of lung ventilation were forced expiratory lung volume (FVC) (FEV1), maximum expiratory flow (PEF) and mid-expiratory flow (MMEF75 / 25) were used to perform multiple stepwise linear regression analysis of the effects of different factors on pulmonary ventilation, including regional, age, sex, height and body mass. Impact. Results Some indicators of pulmonary ventilation (7 males and 8 females) showed statistically significant differences between urban and rural areas (P <0.05, P <0.01). The range of 10 to 18 years old was the rapid increase of pulmonary function, The change of one age group is greater than or equal to the change of adult every 10 years of age. Among them, the deep inspiratory volume (IC), 1 second rate (FEV1 / FVC%) and 75% expiratory flow rate (FEF75%) are 18 ERV, VC, FEV1, FVC, MVV, PEF, 25% expiratory flow (FEF25%), 50% expiratory flow (FEF50%), peak expiratory volume, , FEF75%, MMEF75 / 25 peaked at the age of 26 and then showed a gradual downward trend. The linear regression equation shows that height has the most obvious effect on VC, while the influence of age and body mass varies with the index. Conclusions There are regional differences in the physiological predictive value of pulmonary ventilation between normal population in some areas of Zhejiang Province. Most of the pulmonary function indexes change with age. The influence of area, height, age and body mass on pulmonary function can not be ignored.