Prevalence of coal-burning-fluorosis by factor analysis in Guizhou Province / 中华地方病学杂志

ABSTRACT

Objective To investigate the epidemic situation of coal-burning-fluorosis,and to explore key areas for implementing prevention and control measures in Guizhou Province.Methods Survey data of dental fluorosis of children aged 8-10,anti-fluoride knowledge and health-related behaviors of target students and their families before implementing the comprehensive disease control measures in 2010,were analyzed and evaluated using the method of factor analysis in 23 diseased districts.Results ①The three main factors (F) related to the endemic of coal-burning-fluorosis were economic factor (F 1),knowledge factor (F2) and behavior factor (F3)F1 included the detection rate of 8 to 12 years old children's dental fluorosis,iron stove ownership,corn correct drying rate and chili correct drying rate; F2 included stove correct utilization rate,students awareness and head of the household awareness; F3 included corn food washing rate before cooking and chili food washing rate.②In the economic factor score arrangement,the first three were Zunyi,Xiuwen and Qingzhen.In the F2 score arrangement,the first three were Zunyi,Xishui and Xixiu.In the F3 score arrangement,the first three was Liuzhi,Bijie and Xixiu.③After comprehensive score,Zunyi,Qingzhen,Xishui,Xixiu,Puding and Liuzhi Counties were found to be relatively stronger in control of the epidemic of coal-burning-fluorosis; Xiuwen,Renhuai,Guanling and so on 13 counties were found to be relatively moderate,and Tongzi,Hezhang,Shuicheng and Nayong Counties were found to be relatively weak.Conclusions ①The endemic of coal-burning-fluorosis is related with many factors,and the indexes we selected in this study have a strong correlation and sensitivity,which may be used in evaluating the prevention effect of control measures to coal-buming-fluorosis.②The endemic of coal-burning-fluorosis in Guizhou Province is quite different,and key prevention and control measures can be applied according to a comprehensive factor analysis.