Wietlisbach V, Rickenbach M, Berode M, Guillemin M
Institut universitaire de médecine Sociale et préventive, Bugnon, Lausanne, Switzerland.
Environ Res. 1995 Feb;68(2):82-90. doi: 10.1006/enrs.1995.1011.
This study analyzes the trend and determinants of blood lead levels in a Swiss region (population 770,000) over the 10-year period following the introduction of unleaded gasoline in 1985. The consumption of unleaded fuel increased rapidly, accounting in 1988 for 36% and in 1992 for 65% of all gasoline sales. Blood lead levels were measured in three representative samples (n = 1700) of the adult population within the framework of a health examination survey carried out in 1984/1985, 1988/1989, and 1992/1993. The geometric mean blood lead levels were, respectively, 0.59, 0.42, and 0.33 mumole/liter in men, 0.41, 0.29, and 0.25 mumole/liter in women. Similar trends have been observed across all age groups, occupational classes, and categories based on smoking, drinking, and dietary habits. The overexposure of city residents, in comparison to village residents, fades out over the observation period. These findings suggest that the changeover from leaded to unleaded gasoline has been the major cause of the blood lead decline. Wine drinking, cigarette smoking, and age appear to be significant determinants of blood lead for both sexes in all three surveys. In contrast, the association is inverse for milk consumption. The multivariate regression analysis shows that wine drinking remains the most important predictor of blood lead, whereas the influence of age increases with time and overcomes the effect of smoking in the third survey.
本研究分析了1985年无铅汽油引入后,瑞士某地区(人口77万)在10年期间血铅水平的趋势及决定因素。无铅燃料的消费量迅速增加,1988年占所有汽油销售量的36%,1992年占65%。在1984/1985年、1988/1989年和1992/1993年进行的健康检查调查框架内,对成年人口的三个代表性样本(n = 1700)进行了血铅水平测量。男性的几何平均血铅水平分别为0.59、0.42和0.33微摩尔/升,女性分别为0.41、0.29和0.25微摩尔/升。在所有年龄组、职业类别以及基于吸烟、饮酒和饮食习惯的类别中都观察到了类似趋势。与农村居民相比,城市居民的过度暴露在观察期内逐渐消失。这些发现表明,从含铅汽油转换为无铅汽油是血铅下降的主要原因。在所有三项调查中,饮酒、吸烟和年龄似乎是男女血铅水平的重要决定因素。相比之下,牛奶消费与血铅水平呈负相关。多元回归分析表明,饮酒仍然是血铅最重要的预测因素,而年龄的影响随着时间增加,并在第三次调查中超过了吸烟的影响。