Abstract

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<18years old), and age group B (the subjects ≥18years 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.

Highlights

  • Major sources of human exposure to arsenic (As) are dusts in air, contaminated water or soil, or the food chain [1]

  • Objectives 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 median value of the sum of inorganic As and total As compounds was used for us to divide into two groups, such as the high and low iAs and high and low tAs groups

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Summary

Methods

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 C18 years old). A multivariate analysis was performed with the logistic regression model to adjust for potential confounding variables

Results
Introduction
Materials and methods
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