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. 2022 Aug;130(8):87002.
doi: 10.1289/EHP9985. Epub 2022 Aug 1.

Estimating National Exposures and Potential Bladder Cancer Cases Associated with Chlorination DBPs in U.S. Drinking Water

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Estimating National Exposures and Potential Bladder Cancer Cases Associated with Chlorination DBPs in U.S. Drinking Water

Richard J Weisman et al. Environ Health Perspect. 2022 Aug.

Abstract

Background: Disinfection byproducts (DBPs) in public water systems (PWS) are an unintended consequence resulting from reactions between mostly chlorine-based disinfectants and organic and inorganic compounds in source waters. Epidemiology studies have shown that exposure to DBP (specifically trihalomethanes) was associated with an increased risk of bladder cancer.

Objective: Our goal was to characterize the relative differences in exposures and estimated potential bladder cancer risks for people served by different strata of PWS in the United States and to evaluate uncertainties associated with these estimates.

Methods: We stratified PWS by source water type (surface vs. groundwater) and population served (large, medium, and small) and calculated population-weighted mean trihalomethane-4 (THM4) concentrations for each stratum. For each stratum, we calculated a population attributable risk (PAR) for bladder cancer using odds ratios derived from published pooled epidemiology estimates as a function of the mean THM4 concentration and the fraction of the total U.S. population served by each stratum of systems. We then applied the stratum-specific PARs to the total annual number of new bladder cancer cases in the U.S. population to estimate bladder cancer incidence in each stratum.

Results: Our results show that approximately 8,000 of the 79,000 annual bladder cancer cases in the United States were potentially attributable to DBPs in drinking water systems. The estimated attributable cases vary based on source water type and system size. Approximately 74% of the estimated attributable cases were from surface water systems serving populations of >10,000 people. We also identified several uncertainties that may affect the results from this study, primarily related to the use of THM4 as a surrogate measure for DBPs relevant to bladder cancer.

Discussion: Despite significant reductions in exposure over the past several decades, our study suggests that 10% of the bladder cancer cases in the United States may still be attributed to exposure to DBPs found in drinking water systems. https://doi.org/10.1289/EHP9985.

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Figures

Figure 1 is a flowchart showing the methodology used to estimate bladder cancer cases for each stratum with four steps. Step 1: The calculated population weighted mean trihalomethane-4 concentration was based on the third six-year review national compliance monitoring data sets. Step 2: The calculated odds ratio (O R) is equal to the exposure of a mean trihalomethane-4 concentration times 0.00427 with reference to Regli and others, 2015. Step 3: The calculated population attributable risk (P A R) is equal to the population fraction times odds ratio minus 1 per 1 plus population fraction times odds ratio minus 1 based on national population data (S D W I S and U S G S). Step 4: Applying the P A R annual number of bladder cancer cases based on national cancer institute data.
Figure 1.
Overview of methodology used to estimate U.S. national exposures and potential bladder cancer cases for each stratum. This illustrates information sources and actions applied for each stratum.
Figure 2 is a map of United States, marking states and tribal lands that submitted trihalomethane-4 compliance monitoring data. The states are Washington, Oregon, Idaho, Montana, North Dakota, Minnesota, Wyoming, South Dakota, California, Nevada, Utah, Arizona, New Mexico, Nebraska, Kansas, Oklahoma, Texas, Missouri, Iowa, Illinois, Indiana, Ohio, Arkansas, Kentucky, Tennessee, Pennsylvania, Virginia, North Carolina, Louisiana, Florida, New York, Vermont, Maine, Rhode Island, Connecticut, New Jersey, West Virginia, and Alaska.
Figure 2.
States and tribal lands that submitted THM4 compliance monitoring data for calendar year 2011 and comprising Six-Year Review 3 data set (shown with shading). Data for 20,760 disinfecting systems serving a total of nearly 198 million people. See Supplemental Material Table S1 for information about number of THM4 records by system size and source water type. Map was created in R (version 4.0.0; R Development Core Team). Note: THM4, trihalomethane-4.
Figure 3 is a line graph, plotting odds ratio, ranging from 1.0 to 2.0 in increments of 0.2 (y-axis) across trihalomethane-4 (microgram per liter), ranging from 0 to 120 in increments of 20 (x-axis) for upper curve, central curve, lower curve, and odds ratio.
Figure 3.
Comparison of THM4 and bladder cancer epidemiological dose–response information. The slope shows the odds ratio plot from Regli et al.; also shown is the central, upper, and lower curves from the Villanueva et al. pooled analysis; the shaded region is based on the lower and upper confidence intervals for the four exposure category results (males) from Costet et al. See Supplemental Material, “R Script of Data and Equations,” for Figure 3.
Figure 4 is a graph, plotting Bromine Incorporation Factor, mean plus standard error, ranging from 0.00 to 1.60 in increments of 0.20 (y-axis) across trihalomethane-4, microgram per liter, midpoint for group, ranging from 0 to 100 in increments of 20 (x-axis) for 542 surface water systems, 361 ground water systems, and linear models for surface water based on 542 systems and ground water based on 361 systems.
Figure 4.
Bromine Incorporation Factor (BIF) vs. THM4 for 903 free chlorine systems serving 10,000 people stratified by water source. BIF was calculated for each annual system-level average THM4 sample based on the molar concentration and number of bromine atoms for each THM specie. Systems were grouped in 10μg/L increments based on system average THM4 concentrations. For each group, standard error was estimated as the standard deviation divided by the square root. See Excel Table S8 for underlying data. Note: THM4, trihalomethane-4.
Figure 5 is a dot graph, plotting mass-based ratio, ranging from 0 to 1 in increments of 0.1 (y-axis) across the mass ratio of the three brominated species of trihalomethane-4 to trihalomethane 4, ranging from 0.0 to 1.0 in increments of 0.1 (x-axis) for 1998 and 2011.
Figure 5.
Cumulative distribution for the mass-based ratio of THM3 (i.e., brominated THMs) to THM4 for common systems between 1998 and 2011 data sets (n=127). Researchers calculated mass-based ratio for each system from the 1997–1998 Information Collection Rule data set that provided both THM3 and THM4 concentrations and compared to matching ratio from 2011 Six-Year Review 3 data set. Statistical testing performed using R (version 4.1.2; R Development Core Team) for the hypothesis that the means and variances were not different. See Excel Table S9 for underlying data. Note: THM3, three brominated species of THM4; THM4, trihalomethane-4.
Figure 6 is dot graph, plotting mass-based ratio, ranging from 0 to 1 in increments of 0.1 (y-axis) across five haloacetic acids-trihalomethane-4 mass ratio, ranging from 0 to 3 in increments of 0.5 (x-axis) for 1998 and 2011.
Figure 6.
Cumulative distribution for the ratio of HAA5 to THM4 for common systems between 1998 and 2011 data sets (n=153). Researchers calculated mass-based ratio for each system from the 1997–1998 Information Collection Rule data set that provided both HAA5 and THM4 concentrations and compared to matching ratio from 2011 Six-Year Review 3 data set. Statistical testing performed using R (version 4.1.2; R Development Core Team) for the hypothesis that the means and variances were not different. See Excel Table S10 for underlying data. Note: HAA5, haloacetic acid-5; THM4, trihalomethane-4.

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