目的探究并分析高氟高碘饮水对潍坊地区农村学龄儿童氟斑牙病的影响。方法按照潍坊地区水中氟碘含量,选取本地区abc三个村学龄儿童作为研究对象,每个村选取50例儿童,分别记为高氟高碘组、高氟适碘组、对照组(适氟适碘),测定并记录下三组儿童尿碘、氟含量以及氟斑牙发生情况,并对儿童氟斑牙的影响因素进行多因素逻辑回归分析,探究其与氟斑牙发生发展的关系。结果三组儿童尿氟、尿碘含量比较差异具有统计学意义(F=20.54,P=0.001;F=18.26,P=0.001)。其中高氟适碘组儿童尿氟和尿碘含量最高,其次是高氟高碘组,对照组儿童尿氟和尿碘含量最低。经秩和检验,三组儿童氟斑牙发生情况差异明显(u_(1-2)=2.53;u_(1-3)=2.62;u_(2-3)=3.82,P<0.05),具有统计学意义。三组儿童氟斑牙率差异明显(F=11.01,P=0.003),具有统计学意义。其中高氟适碘组氟斑牙发生率最高,其次为高氟高碘组儿童,对照组氟斑牙发生率最低。三组儿童氟斑牙指数分别为1.52、1.60、0.75,差异具有统计学意义(F=12.41,P<0.05)。经多因素逻辑回归分析,水氟含量与儿童氟斑牙发生情况具有统计学意义(Waldχ~2=7.769,P=0.012),随着水氟含量升高,儿童氟斑牙发生率明显升高。结论水氟含量与学龄儿童氟斑牙发生呈正相关,而在高氟情况下,适碘组的儿童氟斑牙发生率明显高于高碘组儿童,可能与碘离子氟离子交互作用有关,尚待进一步研究。 Objective To explore and analyze the influence of high fluorine and iodine drinking water on dental fluorosis in rural school-age children in Weifang. Methods According to the content of fluorine and iodine in Weifang area, 50 schoolchildren of three villages of abc in this area were selected as study objects, and were selected as high fluoride and high iodine group, high fluorine and iodine group, and control group Iodine, iodine, fluoride content and dental fluorosis in three groups of children were measured and recorded. Multivariate logistic regression analysis was performed on the influencing factors of dental fluorosis in children to explore their relationship with the occurrence and development of dental fluorosis. Results The urinary fluoride and urinary iodine content in three groups were statistically significant (F = 20.54, P = 0.001; F = 18.26, P = 0.001). Among them, children in high fluorine-iodine group had the highest levels of urinary fluoride and urinary iodine, followed by high-fluorine-iodine group, while children in the control group had the lowest urinary fluoride and urinary iodine. By rank sum test, the incidence of dental fluorosis in three groups was significantly different (u_ (1-2) = 2.53; u_ (1-3) = 2.62; u_ (2-3) = 3.82, P <0.05) Significance of learning. There was a significant difference in dental fluorosis rate among the three groups (F = 11.01, P = 0.003), with statistical significance. Among them, the incidence of dental fluorosis was the highest in high fluoride iodine group, followed by children in high fluoride iodine group, and the lowest in control group. The three groups of children dental fluorosis index were 1.52,1.60,0.75, the difference was statistically significant (F = 12.41, P <0.05). Logistic regression analysis showed that fluoride content in children was significantly higher than that in children (Waldχ ~ 2 = 7.769, P = 0.012). With the increase of fluoride in children, the incidence of dental fluorosis in children was significantly higher . Conclusions The fluoride content in water is positively correlated with dental fluorosis in school-age children. In the case of high fluoride, the incidence of dental fluorosis in children with iodine is significantly higher than that in children with high iodine, which may be related to the interaction between iodine and fluoride ions To be further studied.