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南非成年健康男性的肺功能测定。第二部分。社会环境因素与作为肺功能测定决定因素的“种族”之间的相互关系。

Spirometry of healthy adult South African men. Part II. Interrelationship between socio-environmental factors and 'race' as determinants of spirometry.

作者信息

Goldin J G, Louw S J, Joubert G

机构信息

Department of Medicine, University of Cape Town.

出版信息

S Afr Med J. 1996 Jul;86(7):820-6.

PMID:8764908
Abstract

AIM

To examine the interaction of socio-environmental background, 'race' and anthropometry on spirometry.

METHODS

A study population of white and black bank workers with broadly comparable current socio-economic circumstances was identified. Detailed questionnaires regarding a number of indicators of socio-environmental status (SES) were administered in addition to anthropometric and spirometric measurements. Multiple linear regression analyses were performed. The Kappa statistic was used to determine the best predictors of SES.

RESULTS

'Race' was found to be the best predictor of SES. Within the black group a sub-classification of high and low SES was possible. In all respects the white SES indicators were higher than those of the black high SES group. Multiple regression analysis showed that sitting height was a better anthropometric predictor of spirometry than standing height. Replacing 'race' with other indicators of SES gave similar measures of prediction (by Mallow's CP statistic) of spirometry in the over-30-year age group.

CONCLUSION

The impact of 'race' on spirometry can be reduced substantially by incorporating sitting height and indicators of SES in the regression equations. This observation lends support to the hypothesis that 'race' is not a direct genetic predictor of lung size, but may have an influence because of SES and anthropometric features associated with 'race'.

摘要

目的

研究社会环境背景、“种族”和人体测量学指标对肺活量测定的相互作用。

方法

确定了一群当前社会经济状况大致相当的白人和黑人银行工作人员作为研究对象。除了进行人体测量和肺活量测定外,还发放了关于社会环境状况(SES)多项指标的详细问卷。进行了多元线性回归分析。使用卡帕统计量来确定SES的最佳预测指标。

结果

发现“种族”是SES的最佳预测指标。在黑人组中,可以进一步细分为高SES和低SES。在各个方面,白人的SES指标都高于黑人高SES组。多元回归分析表明,坐高比站高是肺活量测定更好的人体测量学预测指标。用其他SES指标替代“种族”,在30岁以上年龄组中对肺活量测定的预测效果(通过马洛斯CP统计量)相似。

结论

在回归方程中纳入坐高和SES指标,可以大幅降低“种族”对肺活量测定的影响。这一观察结果支持了以下假设:“种族”不是肺大小的直接遗传预测指标,但可能由于SES以及与“种族”相关的人体测量学特征而产生影响。

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