Predictors of Urinary Arsenic Levels among Postmenopausal Danish Women.

Predictors of Urinary Arsenic Levels among Postmenopausal Danish Women.
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绝经后丹麦妇女尿砷水平的预测因子。

DOI:
10.3390/ijerph15071340
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发表时间:
2018-06-26
影响因子:
--
通讯作者:
Raaschou-Nielsen O
Raaschou-Nielsen O
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Roswall N;Hvidtfeldt UA;Harrington J;Levine KE;Sørensen M;Tjønneland A;Meliker JR;Raaschou-Nielsen O

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砷是几种非传染性疾病的风险因素,即使剂量很低。尿砷(UAS)浓度是体内剂量的良好生物标志物,人口统计、饮食和生活方式因素被认为是非职业暴露人群的预测因素。然而,大多数预测因素研究在预测因素的大小和数量方面都是有限的。我们调查了744名绝经后丹麦妇女的人口学、饮食和生活方式对UAS浓度的决定因素,她们进行了UAS测量,并对潜在预测因素进行了问卷调查。用电感耦合等离子体质谱(ICPMS)测定尿酸浓度,并用单变量和多变量回归模型分析影响UAS浓度的因素。我们使用了正向选择程序来进行模型优化。在所有模型中,鱼、酒精和家禽的摄入量与较高的UAS浓度有关,而自来水、水果、土豆和乳制品的摄入量较低。前向回归模型解释了浓度变化的35%(R2)。年龄、吸烟、教育程度和居住地并不能预测注意力。在敏感性分析中,结果是相对稳健的。这项研究表明,绝经后女性体内的UAS浓度主要由饮食因素决定,其中鱼的摄入量显示出最强的直接相关性。然而,该研究人群中UAS浓度的大部分变化仍然无法解释。
Arsenic is a risk factor for several noncommunicable diseases, even at low doses. Urinary arsenic (UAs) concentration is a good biomarker for internal dose, and demographic, dietary, and lifestyle factors are proposed predictors in nonoccupationally exposed populations. However, most predictor studies are limited in terms of size and number of predictors. We investigated demographic, dietary, and lifestyle determinants of UAs concentrations in 744 postmenopausal Danish women who had UAs measurements and questionnaire data on potential predictors. UAs concentrations were determined using mass spectrometry (ICP-MS), and determinants of the concentration were investigated using univariate and multivariate regression models. We used a forward selection procedure for model optimization. In all models, fish, alcohol, and poultry intake were associated with higher UAs concentration, and tap water, fruit, potato, and dairy intake with lower concentration. A forward regression model explained 35% (R2) of the variation in concentrations. Age, smoking, education, and area of residence did not predict concentration. The results were relatively robust across sensitivity analyses. The study suggested that UAs concentration in postmenopausal women was primarily determined by dietary factors, with fish consumption showing the strongest direct association. However, the majority of variation in UAs concentration in this study population is still unexplained.
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