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Survey and water quality dataset.

Title: Survey and water quality dataset.
Authors: Courtney L. Sexton; Janice O’Brien; Justin Lytle; Sam Rodgers; Amber Keyser; Mandy Kauffman; Matthew D. Dunbar; Marc Edwards; Leigh Anne Krometis; Audrey Ruple
Publication Year: 2025
Collection: Erasmus University Rotterdam (EUR): Figshare
Subject Terms: Medicine; Ecology; Sociology; Science Policy; Environmental Sciences not elsewhere classified; Biological Sciences not elsewhere classified; Chemical Sciences not elsewhere classified; using regression models; maximum contaminant levels; localized environmental factors; identified potential association; environmental protection agency; dog aging project; 10 selected states; water source variables; municipal water supply; health guidance level; found detectable levels; drinking water composition; drinking water collected; human health outcomes; dogs &# 8217; known health condition; dap dogs located; drinking water; term health; wellness outcomes; commonly found; utilizing dogs; dogs participating
Description: Heavy metals are commonly found in groundwater and can affect the quality of drinking water. In this pilot study, we analyzed the quality of drinking water for dogs participating in the Dog Aging Project (DAP) who lived in homes not served by a municipal water supply. In order to capture both diverse and localized environmental factors that may affect drinking water, 200 owners of DAP dogs located in one of 10 selected states were invited to participate. We tested for the presence of 28 metals in dogs’ drinking water, including eight (8) heavy metals that have maximum contaminant levels (MCLs) designated by the Environmental Protection Agency (EPA) and five (5) heavy metals that have EPA health guidance levels. The eight metals with MCLs are known to cause chronic health issues in humans after long-term ingestion. Our aim in this pilot was to determine whether such elements could be detected by at-home sampling of dogs’ drinking water, and, using regression models, to examine associations between water source variables, metal values, and developed disease. We found detectable levels of all metals tested. There were 126 instances when an analyte (arsenic, lead, copper, sodium, strontium, nickel, or vanadium) was above the EPA MCL or health guidance level. We further identified potential association between the presence of titanium and chromium, and occurrence of a known health condition in dogs. This prompts further investigation with a larger, stratified sample analyzing dogs’ drinking water composition and long-term health and wellness outcomes in dogs living in diverse geographies. These results may impact veterinary care decisions and husbandry, and underscore the validity and importance of utilizing dogs as sentinels of human health outcomes in the context of drinking water contamination.
Document Type: dataset
Language: unknown
Relation: https://figshare.com/articles/dataset/Survey_and_water_quality_dataset_/29844913
DOI: 10.1371/journal.pwat.0000296.s001
Availability: https://doi.org/10.1371/journal.pwat.0000296.s001; https://figshare.com/articles/dataset/Survey_and_water_quality_dataset_/29844913
Rights: CC BY 4.0
Accession Number: edsbas.70CB76EB
Database: BASE