Predictors of urinary heavy metal concentrations among pregnant women in Jinan, China

IF 3.6 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Jiayi Song , Xiang Wang , Qichen Huang , Chuanling Wei , Dongxia Yang , Cuilan Wang , Kefeng Fan , Shuang Cheng , Xiaohui Guo , Ju Wang
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Abstract

Background

Toxic heavy metal exposure and insufficiency or excess of essential heavy metals may have negative effects on pregnant women’s health and fetal growth. To date, the predictors of pregnant women’s heavy metal exposure levels remain unclear and vary with different regions. The study intended to explore potential predictors of exposure to heavy metals individually and high co-exposure to heavy metal mixtures.

Methods

We recruited 298 pregnant women in first trimester from prenatal clinics in Jinan, Shandong Province, China, and collected spot urine samples and questionnaire data on their demographic characteristics, lifestyle habits, consumption of food and dietary supplement, and residential environment. All urine samples were analyzed for seven heavy metals: cobalt (Co), molybdenum (Mo), strontium (Sr), arsenic (As), cadmium (Cd), lead (Pb) and mercury (Hg).

Results

Factors associated with single heavy metal concentration were as follows: a) urinary As, Sr and Cd increased with women’s age respectively; b) pregnant women with higher monthly household income per capita had lower Sr and Mo levels; c) pregnant women with intermittent folic acid supplementation and those not taking tap water as domestic drinking water had lower Sr concentrations; d) Cd was positively linked with consumption frequency of rice; e) Hg was adversely related to consumption frequency of egg and the women who took purified water as domestic drinking water had lower Hg exposure. In addition, pregnant women’s age was positively associated with odds of high co-exposure to Co, As, Sr, Mo, Cd and Pb; while those with an educational level of college had lower odds of high exposure to such a metal mixture compared with those whose educational levels were lower than high school.

Conclusion

Predictors of single urinary heavy metal concentration included pregnant women’s age (As, Sr and Cd), monthly household income per capita (Sr and Mo), folic acid supplementation (Sr), rice consumption frequency (Cd), egg consumption frequency (Hg) and the type of domestic drinking water (Sr and Hg). Pregnant women with older age, lower educational level tended to have high co-exposure to Co, As, Sr, Mo, Cd and Pb.

中国济南孕妇尿液中重金属浓度的预测因素
背景有毒重金属暴露和必需重金属不足或过量可能会对孕妇健康和胎儿发育产生负面影响。迄今为止,孕妇重金属暴露水平的预测因素仍不明确,且因地区而异。方法 我们在山东省济南市的产前检查诊所招募了 298 名怀孕三个月的孕妇,收集了她们的尿液样本,并对她们的人口统计学特征、生活习惯、食物和膳食补充剂的摄入量以及居住环境进行了问卷调查。对所有尿样进行了七种重金属分析:钴(Co)、钼(Mo)、锶(Sr)、砷(As)、镉(Cd)、铅(Pb)和汞(Hg)。结果与单一重金属浓度相关的因素如下:a)尿液中的砷、锶和镉分别随妇女年龄的增长而增加;b)家庭人均月收入较高的孕妇的锶和钼含量较低;c)间歇性补充叶酸的孕妇和不使用自来水作为家庭饮用水的孕妇的锶浓度较低;d)镉与食用大米的频率呈正相关;e)汞与食用鸡蛋的频率呈负相关,使用纯净水作为家庭饮用水的妇女的汞暴露量较低。此外,孕妇的年龄与同时暴露于钴、砷、锶、钼、镉和铅的几率呈正相关;而与学历低于高中的孕妇相比,学历为大学的孕妇暴露于此类金属混合物的几率较低。结论单一尿液重金属浓度的预测因素包括孕妇的年龄(砷、锶和镉)、家庭人均月收入(锶和钼)、叶酸补充情况(锶)、大米食用频率(镉)、鸡蛋食用频率(汞)和家庭饮用水类型(锶和汞)。年龄较大、教育程度较低的孕妇往往同时暴露于钴、砷、锶、钼、镉和铅。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.60
自引率
2.90%
发文量
202
审稿时长
85 days
期刊介绍: The journal provides the reader with a thorough description of theoretical and applied aspects of trace elements in medicine and biology and is devoted to the advancement of scientific knowledge about trace elements and trace element species. Trace elements play essential roles in the maintenance of physiological processes. During the last decades there has been a great deal of scientific investigation about the function and binding of trace elements. The Journal of Trace Elements in Medicine and Biology focuses on the description and dissemination of scientific results concerning the role of trace elements with respect to their mode of action in health and disease and nutritional importance. Progress in the knowledge of the biological role of trace elements depends, however, on advances in trace elements chemistry. Thus the Journal of Trace Elements in Medicine and Biology will include only those papers that base their results on proven analytical methods. Also, we only publish those articles in which the quality assurance regarding the execution of experiments and achievement of results is guaranteed.
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