Abstract
Background
Water arsenic (As) sources beyond a rural household’s primary well may be a significant source for certain individuals, including schoolchildren and men working elsewhere.
Objective
To improve exposure assessment by estimating the fraction of drinking water that comes from wells other than the household’s primary well in a densely populated area.
Methods
We use well water and urinary As data collected in 2000–2001 within a 25 km2 area of Araihazar upazila, Bangladesh, for 11,197 participants in the Health Effects of Arsenic Longitudinal Study (HEALS). We estimate the fraction of water that participants drink from different wells by imposing a long-term mass-balance constraint for both As and water.
Results
The mass-balance model suggest that, on average, HEALS participants obtain 60–75% of their drinking water from their primary household wells and 25–40% from other wells, in addition to water from food and cellular respiration. Because of this newly quantified contribution from other wells, As in drinking water rather than rice was identified as the largest source of As exposure at baseline for HEALS participants with a primary household well containing ≤50 µg/L As.
Significance
Dose-response relationships for As based on water As should take into account other wells. The mass-balance approach could be applied to study other toxicants.
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Acknowledgements
We thank the entire HEALS team in Araihazar and students of the Geology Department at Dhaka University for collecting the well water and urine samples.
Funding
This research was supported by the Abdul Latif Jameel Water and Food Systems Lab (J-WAFS) and by NIEHS grants P42 ES10349 and S10 OD 16384. LBH was supported by an NSF Graduate Research Fellowship.
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LBH, CFH and AvG conceived the study based on urine and well water data previously collected under a cohort study conducted by HA, JG, and AvG. VS was responsible for new rice arsenic measurements. YC, MA, and AN-A contributed to the interpretation of the results. LBH drafted the paper, which was then edited by AvG based on input from all authors.
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Huhmann, L.B., Harvey, C.F., Navas-Acien, A. et al. A mass-balance model to assess arsenic exposure from multiple wells in Bangladesh. J Expo Sci Environ Epidemiol 32, 442–450 (2022). https://doi.org/10.1038/s41370-021-00387-5
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DOI: https://doi.org/10.1038/s41370-021-00387-5