1990/92年德国环境调查(GerES II):成人血液镉水平的主要预测因子

K. Hoffmann, C. Krause, B. Seifert
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引用次数: 25

摘要

作为1990-1992年德国代表性环境调查的一部分,研究人员确定了3965名25-69岁受试者血液中的镉水平。研究人员考虑了大约150个变量(即人口统计学、家庭和职业特征、环境暴露、吸烟习惯、食物消费频率和其他生活方式特征)作为多变量回归分析的潜在预测因素。在多元回归分析结果的基础上,作者推导了两个略有不同的模型来预测西德和东德人群的血液镉水平。两个模型都包括3个主要的血液镉水平预测因子。这两个模型分别解释了西德和东德血液中镉含量差异的51.3%和61.2%。最重要的预测指标是吸烟习惯的具体指标,这是由一个单独的数学模型确定的。该模型考虑了吸烟的影响,并考虑了血液中镉的生物半衰期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The German Environmental Survey 1990/92 (GerES II): Primary Predictors of Blood Cadmium Levels in Adults
Abstract As part of the representative Environmental Survey in Germany in 1990–1992, investigators determined cadmium levels in blood provided by 3,965 subjects aged 25–69 yr. The investigators considered approximately 150 variables (i.e., demographics, household and occupational characteristics, environmental exposures, smoking habits, frequency of food consumption, and additional life-style features) as potential predictors in multivariate regression analysis. On the basis of the results of multivariate regression analysis, the authors derived 2 slightly different models for the prediction of blood cadmium levels in populations from West and East Germany. Both models included 3 primary predictors of blood cadmium levels. The 2 models explained 51.3% and 61.2% of the observed variance in blood cadmium levels in West and East Germany, respectively. The most important predictor was a specific indicator for smoking habits, which was determined from a separate mathematical model. In this model, the effect of smoking was considered, and the model accounted for the biological half-life of cadmium in blood.
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