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目的调查辽宁省农村20～<70岁氟牙症人群牙本质敏感的患病状况及其相关危险因素,为牙本质敏感的预防和治疗提供依据。方法 2009—2010年在辽宁省新民市氟牙症病区采用随机区组抽样的方法,对800名20～<70岁居民进行牙本质敏感的临床检查和问卷调查,应用氟离子选择电极法检测居民饮水氟质量浓度,采用Logistic回归分析牙本质敏感的危险因素。结果当地居民饮水氟质量浓度为1.15～1.50mg/L,氟牙症患病率为95.0%;800名20～<70岁成人完成了牙本质敏感的临床检查和问卷调查,79人被检出牙本质敏感,患病率为9.9%,男女之间差异无统计学意义(P>0.05)。敏感最好发牙位为下前牙,其次是第一磨牙;敏感好发牙面为唇颊侧牙颈部根面暴露处。牙刷使用时间过长是本次调查人群牙本质敏感的危险因素(OR=2.210)。在敏感人群中无人采取治疗措施或去医院、诊所咨询。结论农村人群在饮水氟质量浓度为1.15～1.50mg/L时,氟牙症发病率高,但牙本质敏感患病率较低,此时牙刷使用时间是危险因素。
Objective To investigate the prevalence and related risk factors of dentin hypersensitivity in rural population of 20 ~ 70 years old in Liaoning province and provide basis for the prevention and treatment of dentin sensitivity. Methods From 2009 to 2010, randomized block sampling method was used in the dental fluorosis area of Xinmin City, Liaoning Province to evaluate the dentine sensitivity of 800 residents aged from 20 to 70 years and questionnaires. Fluoride ion-selective electrode method Residents drinking water fluoride concentration, the use of Logistic regression analysis of dentin-sensitive risk factors. Results The fluoride content of drinking water in local residents was 1.15-1.50 mg / L and the prevalence of dental fluorosis was 95.0%. Eighty dentin-sensitive clinical tests and questionnaires were completed in 800 adults aged 20-70 years and 79 were detected Dentin is sensitive, the prevalence rate was 9.9%, there was no significant difference between men and women (P> 0.05). Sensitive hair best for the next lower teeth, followed by the first molars; sensitive to the tooth surface for the lip and the buccal side of the root exposed. Toothbrush use of time is too long for this survey population dentin-sensitive risk factors (OR = 2.210). No one in the sensitive population to take treatment or go to the hospital, the clinic consultation. Conclusion In rural areas, the incidence of dental fluorosis is high when the fluorine concentration in drinking water is 1.15-1.50 mg / L, but the prevalence of dentin is low. At this time, the time of toothbrush use is a risk factor.