Sydney Evans · International Journal of Environmental Research and Public Health 2020 · Environmental risk assessment and exposure modeling study · n=?

Analysis of Cumulative Cancer Risk Associated with Disinfection Byproducts in United States Drinking Water

Cited 43 times in the scientific literature.

Level 5 - mechanism / opinion, no new human data

Quantitative risk modeling and secondary data analysis (non-clinical study graded by design analogy)

OpenAlex W3013625816 · doi:10.3390/ijerph17062149 · record verified 2026-08-26

What was done

Conducted a comparative cumulative cancer risk assessment for drinking water disinfection byproducts, specifically trihalomethanes and both regulated and unregulated haloacetic acids. The authors evaluated occurrence data from the U.S. EPA fourth Unregulated Contaminant Monitoring Rule (UCMR4) dataset and compared toxicological risk modeling (using standard default parameters and age sensitivity factors) against epidemiological risk estimates for community water systems.

What was found

Toxicological assessment showed haloacetic acids, particularly brominated forms, posed higher carcinogenicity than trihalomethanes. The toxicologically modeled cumulative lifetime cancer risk from trihalomethanes and haloacetic acids was 7.0 × 10⁻⁵ (3.5 × 10⁻⁵–1.3 × 10⁻⁴) using standard parameters, and 2.9 × 10⁻⁴ (1.7 × 10⁻⁴–6.2 × 10⁻⁴) when including age sensitivity factors. Epidemiological data yielded an estimated lifetime cancer risk of 3.0 × 10⁻³ (2.1 × 10⁻⁴–5.7 × 10⁻³), corresponding to approximately 3 cases per 1,000 individuals.

Why it matters

This study provides comparative risk estimates indicating that toxicological modeling may underestimate total cancer burden compared to epidemiological observations, highlighting the importance of monitoring unregulated brominated haloacetic acids in public water supplies.

Limits

The study is an exposure and risk modeling exercise dependent on default intake parameters and assumed toxicity factors rather than directly measured individual exposures or clinical outcomes. Specific sample sizes, individual water system characteristics, and potential unmeasured confounding from underlying epidemiological datasets are not reported in the abstract.

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