ASSESSING RISK FOR EARLY CHILDHOOD CARIES

虽然许多研究已经检查了儿童早期龋齿（ECC），但所显示的种族/民族差异背后的病因仍然未知。近二十年来，研究人员一直试图开发敏感且特定的龋齿风险评估工具来识别高危个体，但成功有限。这项研究将利用全州和当地的横截面数据源来开发，测试和完善ECC风险关联模型，该模型将采用多因素和多层次的方法来研究各种个体家庭和社区特征，包括人口统计学，社会经济学，文化适应，健康信念和行为，获得护理和生理学，使用计算密集型统计数据挖掘方法，如人工神经网络。目标是：利用1993- 1994年加州全州口腔健康需求评估中的个人和家庭水平数据以及社区水平数据，开发ECC风险关联模型;为了测试和改进上述ECC风险关联模型，并且为了测试和改进最终ECC风险关联模型作为风险预测模型，其使用来自在San弗朗西斯科的纵向氟化物清漆试验的对照组，和邻里层面的数据。将开发用于非牙科环境的风险评估模型和种族/民族特定模型。这项研究与三项已经资助的研究，以及其他项目和拟议中心的核心接口。该项目将为圣伊西德罗干预研究、圣弗朗西斯科焦点小组和凯撒医疗保健服务研究提供关于ECC相关因素的信息，并提供可以用其研究数据进行测试和改进的风险评估模型。这是第一个研究，同时检查个人，家庭和社区层面的特征与ECC数据挖掘技术。

Although many studies have examined Early Childhood Caries (ECC), the etiology behind demonstrated racial/ethnic differences remain unknown. For almost two decades, researchers have tried to develop sensitive and specific caries risk assessment tools to identify at-risk individuals, but with limited success. This study will utilize statewide and local cross-sectional data sources to develop, test and refine an ECC risk association model, which will multifactorial and multilevel approach looking at various individual family and community characteristics, including demographics, socioeconomics, acculturation, health beliefs and behaviors, access to care, and physiology, using computationally intensive statistical data mining methods such as artificial neural networks. Aims are: to develop an ECC risk association model with individual- and family-level data from the 1993-4 statewide California Oral Health Needs Assessment supplemented with neighborhood-level data; to test and refine the above ECC risk association model and to test and refine th final ECC risk association model as a risk prediction model with the control group from a longitudinal fluoride varnish trial in San Francisco using individual, family, and neighborhood-level data. Risk assessment models to be used in non-dental settings and race/ethnicity specific models will be developed. This study interfaces with three already funded studies, as well as the other projects and the cores of the proposed center. The project will provide input to the San Ysidro intervention study, the San Francisco focus group, and the Kaiser Permanente health services research study about factors associated with ECC and provide risk assessment models that can be tested and refined with their study data. This is the first study to simultaneously examine individual-, family- and community-level characteristics related to ECC with data mining techniques.