To examine the interaction of socio-environmental background, race'and anthropometry on spirometry.
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.
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.
Mots-clés Pascal : Maladie professionnelle, Médecine travail, Exploration, Fonction respiratoire, Spirométrie, Facteur milieu, Impact social, Race, Mesure, Homme, République Sud Africaine, Afrique
Mots-clés Pascal anglais : Occupational disease, Occupational medicine, Exploration, Lung function, Spirometry, Environmental factor, Social impact, Race, Measurement, Human, South Africa, Africa
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 96-0376605
Code Inist : 002B24H. Création : 10/04/1997.