Mori Mitsuru, Sato Tomoyo, Yoshida Hideki, Ohira Yuichi, Itou Yasushi, Shimizu Shouko
Department of Public Health, Sapporo Medical University School of Medicine, South1, West 17, Chuo-ku, Sapporo, Hokkaido, 060-8556, Japan.
Department of Civil Engineering and Architecture, Muroran Institute of Technology, 27-1, Mizumoto-cho, Muroran, Hokkaido, 050-8585, Japan.
Environ Health Prev Med. 2016 Sep;21(5):327-333. doi: 10.1007/s12199-016-0533-3. Epub 2016 Apr 22.
The first aim of this study was to evaluate the association between time spent living near a contaminated area and concentration of arsenic (As) compounds in the urine among study subjects. The second aim is to assess the association between consumption of various foods or beverages and As concentration in urine among them.
Urine sampling was performed on 177 persons who voluntarily participated in the survey in May 2014. The median value of the sum of inorganic As (iAs) and total As (tAs) compounds was used for us to divide into two groups, such as the high and low iAs and high and low tAs groups. We analyzed data separately in two-age strata of age group A (the subjects <18 years old), and age group B (the subjects ≥18 years old). A multivariate analysis was performed with the logistic regression model to adjust for potential confounding variables.
No link between time spent living near a contaminated area and urinary As concentration was observed in our study. For age group B, frequently drinking beer was significantly associated with risk of being in the high tAs group (p = 0.008). Compared to not drinking beer, odds ratios (95 % confidence intervals) of drinking beer <1 or 2 times per week, and drinking beer ≥3 or 4 times per week were 3.09 (1.32-7.24) and 3.00 (1.02-8.80), respectively, after adjusting for age, sex, and smoking index.
Frequent consumption of beer may be associated with high tAs in age group B.
本研究的首要目的是评估研究对象在受污染区域附近居住的时间与尿中砷(As)化合物浓度之间的关联。第二个目的是评估各类食物或饮料的摄入量与研究对象尿中砷浓度之间的关联。
对2014年5月自愿参与调查的177人进行了尿液采样。使用无机砷(iAs)和总砷(tAs)化合物总和的中位数将研究对象分为两组,即高iAs组和低iAs组、高tAs组和低tAs组。我们分别在A年龄组(年龄<18岁的研究对象)和B年龄组(年龄≥18岁的研究对象)这两个年龄层中对数据进行了分析。采用逻辑回归模型进行多变量分析,以调整潜在的混杂变量。
在我们的研究中,未观察到在受污染区域附近居住的时间与尿砷浓度之间存在关联。对于B年龄组,经常饮用啤酒与高tAs组的风险显著相关(p = 0.008)。在调整年龄、性别和吸烟指数后,与不饮用啤酒相比,每周饮用啤酒<1或2次以及每周饮用啤酒≥3或4次的优势比(95%置信区间)分别为3.09(1.32 - 7.24)和3.00(1.02 - 8.80)。
B年龄组中经常饮用啤酒可能与高tAs有关。