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年轻成年黑人与白人男性及女性的肺功能与身体特征之间的关系。

Relationships between lung function and physical characteristics in young adult black and white males and females.

作者信息

McDonnell W F, Seal E

机构信息

Clinical Research Branch, US Environmental Protection Agency, Research Triangle Park, N.C.

出版信息

Eur Respir J. 1991 Mar;4(3):279-89.

PMID:1864343
Abstract

The relationships of lung function to physical characteristics in young adults have not been adequately described for different gender-race groups in the United States. As part of a study of the effects of ozone exposure upon Black and White men and women, we measured lung volumes, expiratory flow rates, and airways resistance on a sample of 314 healthy 18-35 yr old nonsmokers. Regression analysis indicated that lung function was adequately described as a linear function of either height or sitting height in each of the four groups, and that while not always significant, gender and race differences in the height and sitting height coefficients were consistently present with those of males and Whites larger than those of females and Blacks, respectively. Lung volumes were frequently observed to be associated with body mass index as measured by Quetelet Index (weight.height.2). The best fitting gender-race specific multiple regression models including these terms and occasional age terms are presented. Two additional models are presented, one of which simultaneously adjusts for both gender and race, and the other of which adjusts for gender for a given race. Comparison of predicted values from our study to those of other studies suggests that the population samples from this study may be similar to those of other American populations reported upon by others.

摘要

在美国,针对不同性别-种族群体,尚未充分描述年轻人肺功能与身体特征之间的关系。作为一项关于臭氧暴露对黑人和白人男性及女性影响研究的一部分,我们对314名年龄在18 - 35岁的健康非吸烟者样本测量了肺容量、呼气流量率和气道阻力。回归分析表明,在这四个组中的每一组中,肺功能都能充分地用身高或坐高的线性函数来描述,并且虽然并不总是显著,但身高和坐高系数中的性别和种族差异始终存在,男性和白人的系数分别大于女性和黑人的系数。经常观察到肺容量与通过克托莱指数(体重/身高²)测量的体重指数相关。本文给出了包含这些项以及偶尔的年龄项的最佳拟合性别-种族特定多元回归模型。还给出了另外两个模型,其中一个同时针对性别和种族进行调整,另一个针对给定种族的性别进行调整。将我们研究的预测值与其他研究的预测值进行比较表明,本研究的人群样本可能与其他研究报告的美国其他人群样本相似。

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