A Bayesian benchmark concentration analysis for urinary fluoride and intelligence in adults in Guizhou, China

HERO ID

12038616

Reference Type

Journal Article

Year

2024

Language

English

PMID

38460703

HERO ID 12038616
In Press No
Year 2024
Title A Bayesian benchmark concentration analysis for urinary fluoride and intelligence in adults in Guizhou, China
Authoring Organization State University of New York
Journal Science of the Total Environment
Volume 925
Page Numbers 171326
Abstract Environmental fluoride exposure has been linked to numerous cases of fluorosis worldwide. Previous studies have indicated that long-term exposure to fluoride can result in intellectual damage among children. However, a comprehensive health risk assessment of fluorosis-induced intellectual damage is still pending. In this research, we utilized the Bayesian Benchmark Dose Analysis System (BBMD) to investigate the dose-response relationship between urinary fluoride (U-F) concentration and Raven scores in adults from Nayong, Guizhou, China. Our research findings indecate a dose-response relationship between the concentration of U-F and intelligence scores in adults. As the benchmark response (BMR) increased, both the benchmark concentration (BMCs) and the lower bound of the credible interval (BMCLs) increased. Specifically, BMCs for the association between U-F and IQ score were determined to be 0.18 mg/L (BMCL(1) = 0.08 mg/L), 0.91 mg/L (BMCL(5) = 0.40 mg/L), 1.83 mg/L (BMCL(10) = 0.83 mg/L) when using BMRs of 1 %, 5 %, and 10 %. These results indicate that U-F can serve as an effective biomarker for monitoring the loss of IQ in population. We propose three interim targets for public policy in preventing interllectual harm from fluoride exposure.
Doi 10.1016/j.scitotenv.2024.171326
Pmid 38460703
Wosid WOS:001221911900001
Url https://www.ncbi.nlm.nih.gov/pubmed/38460703
Is Certified Translation No
Dupe Override No
Is Public Yes
Language Text English
Keyword Child Adult Humans *Fluorides/analysis *Fluorosis, Dental/epidemiology Benchmarking Bayes Theorem Intelligence China/epidemiology Bmc Bayesian estimation Health risk assessment Urinary fluoride concentration