Schoenberg J B, Beck G J, Bouhuys A
Respir Physiol. 1978 Jun;33(3):367-93. doi: 10.1016/0034-5687(78)90063-4.
We recorded maximum expiratory flow-volume curves in 3046 healthy persons, blacks and whites, age 7 and over--a representative population of lifetime nonsmokers except for some black adult males, who were healthy smokers or ex-smokers. We computed regression equations for lung function measurements (FVC, FEV1.0, FEV10/FVC, PEF, MEF 50% and MEF 25%) as a function of age, height and weight terms for eight subgroups (by sex and race, and for children or adults). Objective statistical criteria were used to select the optimal equations. Simple linear regressions on age and height are inaccurate, in particular for young adults and for the elderly. Weight affects most function measurements: lung function first increases with weight ('muscularity effect') and decreases with further increases in weight ('obesity effect'). The regression equations allow more accurate prediction of normal lung function. In addition, the lower 95% confidence limits are closer to the predicted values and are valid regardless of height, weight and age within each subgroup.
我们记录了3046名7岁及以上的健康人群(包括黑人和白人)的最大呼气流量-容积曲线,这些人代表了终生不吸烟者的群体,但部分成年黑人男性除外,他们为健康吸烟者或已戒烟者。我们针对八个亚组(按性别、种族以及儿童或成人划分),计算了肺功能测量值(用力肺活量(FVC)、第1秒用力呼气容积(FEV1.0)、FEV1.0/FVC、呼气峰值流速(PEF)、50%最大呼气流量(MEF 50%)和25%最大呼气流量(MEF 25%))与年龄、身高和体重之间的回归方程。采用客观统计标准来选择最优方程。仅对年龄和身高进行简单线性回归并不准确,尤其是对于年轻人和老年人。体重会影响大多数肺功能测量值:肺功能首先会随着体重增加而升高(“肌肉量效应”),而随着体重进一步增加则会下降(“肥胖效应”)。这些回归方程能够更准确地预测正常肺功能。此外,95%置信区间下限更接近预测值,并且在每个亚组内无论身高、体重和年龄如何均有效。