Spatial correlation between the prevalence of dental fluorosis and the chemical elemental composition of drinking water sources in a typical coal-fired pollution fluorosis area.
10.3760/cma.j.cn112338-20221206-01042
- Author:
Jian Ying WANG
1
;
Jian Zhong CHENG
2
;
Na YANG
1
;
Jiang Hui ZHANG
1
;
Cheng Long TU
3
Author Information
1. Key Laboratory of Environmental Pollution and Disease Surveillance/Ministry of Education, School of Public Health and Health, Guizhou Medical University, Guiyang 550025, China.
2. State Key Laboratory of Environmental Geochemistry/Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China.
3. Key Laboratory of Environmental Pollution and Disease Surveillance/Ministry of Education, School of Public Health and Health, Guizhou Medical University, Guiyang 550025, China Toxicity Testing Center, Guizhou Medical University, Guiyang 550025, China.
- Publication Type:Journal Article
- MeSH:
Humans;
Drinking Water;
Prevalence;
Coal;
Fluorides/adverse effects*;
Cadmium;
Fluorosis, Dental/epidemiology*;
Lead;
Selenium;
Arsenic
- From:
Chinese Journal of Epidemiology
2023;44(6):891-898
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To investigate the spatial distribution characteristics and correlation between the prevalence of dental fluorosis and the chemical elemental composition of drinking water sources in coal-fired fluorosis areas. Methods: Based on the survey data on the prevalence of dental fluorosis at CDC in Guizhou Province in 2022, 274 original surface drinking water sources were collected in typical coal-fired fluorosis areas, and fluoride (F), calcium (Ca), magnesium (Mg), aluminum (Al), titanium (Ti), chromium (Cr), manganese (Mn), iron (Fe), nickel (Ni), copper (Cu), zinc (Zn), arsenic (As), selenium (Se), molybdenum (Mo), cadmium (Cd), barium (Ba), lead (Pb) 17 elements; apply Moran's I index, Getis-Ord Gi* hotspot analysis of the global spatial autocorrelation of chemical elements in drinking water and the degree of aggregation of each element on the local area, and correlation analysis with the prevalence of dental fluorosis in the region. Results: Except for Cu, Zn, and Cd, global spatial autocorrelation Moran's I was negative, and all other elements were positive. F, Ca, Al, Ti, As, Mo, Cd, and Cu elements showed high values of aggregation in the southeastern low-altitude area; Mg, Ba, Pb, Cr, Mn, and Fe elements were mainly aggregated in the central altitude terrain transition area, Zn and Se elements in water sources are significantly positively correlated with the prevalence of dental fluorosis (P<0.05). In contrast, F, Mg, Al, Ti, As, Mo, Cd, Ba, and Pb elements negatively correlate (P<0.05). Elements in the central region were high-high aggregation, as a hot spot aggregation area with high disease incidence, while F, Al, Mn, Mo, Cd, and Ba elements in the western region were low-low aggregation, as a cold spot aggregation area with a low incidence of fluorosis. Conclusions: The risk of population fluoride exposure in surface drinking water sources is shallow. However, the chemical element content of drinking water sources in coal-fired polluted endemic fluorosis areas has prominent spatial geographical distribution characteristics. There is a significant spatial aggregation effect with the prevalence of dental fluorosis, which may play a synergistic or antagonistic effect on the occurrence and prevalence of dental fluorosis.
