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学龄儿童龋齿的风险指标和风险预测因素。

Risk indicators and risk predictors of dental caries in schoolchildren.

作者信息

Tagliaferro Elaine Pereira da Silva, Ambrosano Gláucia Maria Bovi, Meneghim Marcelo de Castro, Pereira Antonio Carlos

机构信息

Department of Community Dentistry, Faculty of Dentistry of Piracicaba, State University of Campinas, Piracicaba, SP, Brazil.

出版信息

J Appl Oral Sci. 2008 Nov-Dec;16(6):408-13. doi: 10.1590/s1678-77572008000600010.

Abstract

The purpose of this study was to identify risk indicators of high caries level at baseline (HCLB) based on cross-sectional data and predictors of high caries increment (HCI) based on a 7-year-follow-up examination in 6-8-year-old schoolchildren. Two hundred and six schoolchildren were examined in 1997 and in 2004 by the same two calibrated dentists, in Piracicaba, Brazil. At baseline, dental caries, presence of sealants, fluorosis, and oral hygiene status were recorded. The children's parents completed a questionnaire concerning socioeconomic level, fluoride use, dental service utilization, dietary and oral hygiene habits. HCLB and HCI were defined considering the upper quartile of the total caries experience distribution (dmfs+DMFS) and caries increment distribution, respectively. Logistic regression models were adjusted estimating the Odds Ratio (OR), 95% confidence intervals and p-values. Having white spot lesions (OR=5.25) was found to be a risk indicator of HCLB. Schoolchildren with dental fluorosis (OR=0.17) or those who brushed the teeth more than two times a day (OR=0.37) presented less probability of HCLB. The predictors of HCI were: dmfs>0 (OR=2.68) and mothers' educational level up to 8 years of schooling (OR=2.87). Clinical and socioeconomic variables were found to be risk indicators and/or predictors of dental caries in schoolchildren.

摘要

本研究的目的是基于横断面数据确定6-8岁学童基线时高龋水平(HCLB)的风险指标,并基于7年随访检查确定高龋增量(HCI)的预测因素。1997年和2004年,在巴西皮拉西卡巴,由同两位经过校准的牙医对206名学童进行了检查。在基线时,记录龋齿、窝沟封闭剂的存在情况、氟斑牙和口腔卫生状况。孩子们的父母完成了一份关于社会经济水平、氟化物使用、牙科服务利用、饮食和口腔卫生习惯的问卷。HCLB和HCI分别根据龋病总经历分布(dmfs+DMFS)和龋病增量分布的上四分位数来定义。调整逻辑回归模型以估计比值比(OR)、95%置信区间和p值。发现有白斑病变(OR=5.25)是HCLB的一个风险指标。患有氟斑牙的学童(OR=0.17)或每天刷牙超过两次的学童(OR=0.37)发生HCLB的可能性较小。HCI的预测因素为:dmfs>0(OR=2.68)和母亲受教育年限达8年(OR=2.87)。临床和社会经济变量被发现是学童龋齿的风险指标和/或预测因素。

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