Relationship between the chemical properties of drinking water and the prevalence of dental fluorosis based on the principal component regression model in Bijie City, Guizhou Province
10.3760/cma.j.cn231583-20220406-00106
- VernacularTitle:基于主成分回归模型分析贵州省毕节市饮用水化学性质与氟斑牙流行程度的关系
- Author:
Jianying WANG
1
;
Xiaoyun DING
;
Zhongyuan GU
;
Jie YAO
;
Xia LIU
;
Na YANG
;
Chenglong TU
Author Information
1. 贵州医科大学公共卫生与健康学院 环境污染与疾病监控教育部重点实验室，贵阳 550025
- Keywords:
Fluorosis, dental;
Principal component regression analysis;
Drinking water;
Chemical element
- From:
Chinese Journal of Endemiology
2022;41(10):793-800
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To study the relationship between the relevant chemical elements in the original surface drinking water sources and the prevalence of dental fluorosis in Bijie City, Guizhou Province, and to provide a scientific basis for further studying the distribution of dental fluorosis patients, clarifying the mechanism of endemic fluorosis, and scientifically adjusting relevant prevention and treatment policies.Methods:From August 2021 to March 2022, based on the local census data of endemic fluorosis in Guizhou Province, 385 samples of original surface drinking water sources were collected in 214 townships (towns) of Bijie City. The pH value, and contents of fluorine (F), calcium (Ca), magnesium (Mg), aluminum (Al), titanium (Ti), manganese (Mn), copper (Cu), zinc (Zn), nickel (Ni), arsenic (As), molybdenum (Mo), cadmium (Cd), barium (Ba), lead (Pb), chromium (Cr), iron (Fe), and selenium (Se) in the drinking water were determined. Taking the dental fluorosis index representing the prevalence of dental fluorosis as the dependent variable, a principal component multiple regression model was constructed based on the above chemical elements of drinking water to study the related factors affecting the prevalence of dental fluorosis, and its contribution rate was calculated.Results:The median of dental fluorosis index in 214 townships (towns) of Bijie City was 1.460. The average of pH values and contents of F, Ca, Mg, Al, Ti, Cr, Mn, Fe, Ni, Cu, Zn, As, Se, Mo, Cd, Ba and Pb of 385 drinking water samples were 6.369, and 0.209, 179.706, 16.198, 0.163, 0.987, 0.015, 0.073, 0.176, 0.027, 0.014, 0.191, 0.007, 0.005, 0.003, 0.001, 0.155, 0.005 mg/L, respectively. Six principal components ( F1 - F6) were extracted by principal component regression analysis, and the cumulative contribution rate was 72.05%. After multiple linear regression analysis, the chemical elements in drinking water were positively correlated with the prevalence of dental fluorosis in the order of Se, Fe, Cr, Mn, Ni, Cd and Cu, and negatively correlated with the prevalence of dental fluorosis in the order of Ba, F, Ti, Mo, Zn, Al, Pb, Ca, As and Mg. Conclusions:The chemical properties in drinking water of endemic fluorosis areas in Bijie City have obvious synergistic or antagonistic effects on the occurrence and prevalence of dental fluorosis in this area. The F in the drinking water may not play a decisive role in the occurrence and prevalence of local dental fluorosis.
