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Association between total ingested arsenic and toenail arsenic concentrations

机译:总摄入砷和趾甲砷浓度之间的关联

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The association between arsenic exposure from drinking water and toenail arsenic concentrations appears to be non-linear at low exposure levels. To investigate whether this observation is a result exposure misclassification, a dietary exposure assessment was conducted in a cohort of 47 women concurrently enrolled in a prospective longitudinal biomonitoring study in Pabna, Bangladesh. Arsenic intake was evaluated using a duplicate diet study design which collected food and water samples for a total of 6 days. Total inorganic arsenic was measured in 24-hour composite food samples (N = 282) using inductively coupled plasma-mass spectrometry coupled with a dynamic reaction cell (ICP-DRC-MS). Average annual tubewell arsenic concentrations and toenail arsenic concentrations were computed for each participant using biomonitoring data from the prospective study. Separate multivariate regression models evaluated the association between drinking water, total dietary intake, and total dietary dose with toenail arsenic, a biomarker of internal dose. In these models, dietary intakes were adjusted using the residual method to provide estimate that was independent of water arsenic concentrations. Median daily arsenic intake from food and drinking water was 48.3 μg/day and 4.2 μg/day. Taking into consideration participant's body weight, the median daily arsenic dose was 1.0 μg/kg-day from food and 0.1 μg/kg-day from drinking water although drinking water exposure was highly skewed and was the dominant exposure route for the upper 25th percentile of the distribution. The regression model that used total daily arsenic intake from food (β = 0.46; 95%CI: 0.18-0.73) and drinking water (95%CI: 0.26-0.38) explained the most variability in toenail arsenic concentrations (R_a~2 = 0.71). The effect estimates for food and drinking water are similar suggesting that both sources have a similar contribution to internal dose.
机译:在低暴露水平下,饮用水中砷暴露与趾甲砷浓度之间的关系似乎是非线性的。为了调查该观察结果是否是暴露暴露分类错误的结果,在孟加拉国帕布纳市进行的一项前瞻性纵向生物监测研究中,同时纳入了47名妇女,进行了饮食暴露评估。使用重复饮食研究设计评估砷摄入量,该设计收集食物和水样本共6天。使用电感耦合等离子体质谱法和动态反应池(ICP-DRC-MS)对24小时复合食品样品(N = 282)中的总无机砷进行了测量。使用前瞻性研究的生物监测数据,计算了每个参与者的年平均试管内砷浓度和趾甲砷浓度。单独的多元回归模型评估了饮用水,总饮食摄入量和总饮食剂量与趾甲砷(内部剂量的生物标志物)之间的关联。在这些模型中,使用残差法调整饮食摄入量,以提供独立于水砷浓度的估计值。从食物和饮用水中每天摄入的砷的中位数分别为48.3μg/天和4.2μg/天。考虑到参与者的体重,尽管每天的砷摄入量高度偏斜,并且是该食物摄入量最高的25%人群的主要接触途径,但每日食物中砷的中位数为1.0μg/ kg-day,饮用水中为0.1μg/ kg-day。分布。使用食物中每日总砷摄入量(β= 0.46; 95%CI:0.18-0.73)和饮用水(95%CI:0.26-0.38)的回归模型解释了趾甲砷浓度的最大变化(R_a〜2 = 0.71) )。食物和饮用水的效果估计相似,表明这两种来源对内部剂量的贡献相似。

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