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北卡罗来纳大学龋齿风险评估研究:高风险预测、任何风险预测和任何风险病因模型的比较

University of North Carolina Caries Risk Assessment Study: comparisons of high risk prediction, any risk prediction, and any risk etiologic models.

作者信息

Beck J D, Weintraub J A, Disney J A, Graves R C, Stamm J W, Kaste L M, Bohannan H M

机构信息

Department of Dental Ecology, School of Dentistry, University of North Carolina, Chapel Hill 27599.

出版信息

Community Dent Oral Epidemiol. 1992 Dec;20(6):313-21. doi: 10.1111/j.1600-0528.1992.tb00690.x.

DOI:10.1111/j.1600-0528.1992.tb00690.x
PMID:1464224
Abstract

The purpose of this analysis is to compare three different statistical models for predicting children likely to be at risk of developing dental caries over a 3-yr period. Data are based on 4117 children who participated in the University of North Carolina Caries Risk Assessment Study, a longitudinal study conducted in the Aiken, South Carolina, and Portland, Maine areas. The three models differed with respect to either the types of variables included or the definition of disease outcome. The two "Prediction" models included both risk factor variables thought to cause dental caries and indicator variables that are associated with dental caries, but are not thought to be causal for the disease. The "Etiologic" model included only etiologic factors as variables. A dichotomous outcome measure--none or any 3-yr increment, was used in the "Any Risk Etiologic model" and the "Any Risk Prediction Model". Another outcome, based on a gradient measure of disease, was used in the "High Risk Prediction Model". The variables that are significant in these models vary across grades and sites, but are more consistent among the Etiologic model than the Predictor models. However, among the three sets of models, the Any Risk Prediction Models have the highest sensitivity and positive predictive values, whereas the High Risk Prediction Models have the highest specificity and negative predictive values. Considerations in determining model preference are discussed.

摘要

本分析的目的是比较三种不同的统计模型,以预测在3年期间可能有患龋齿风险的儿童。数据基于4117名参与北卡罗来纳大学龋齿风险评估研究的儿童,该研究是在南卡罗来纳州艾肯市和缅因州波特兰市进行的一项纵向研究。这三种模型在纳入的变量类型或疾病结局的定义方面存在差异。两种“预测”模型既包括被认为会导致龋齿的风险因素变量,也包括与龋齿相关但不被认为是该疾病病因的指标变量。“病因”模型仅将病因因素作为变量。在“任何风险病因模型”和“任何风险预测模型”中使用了二分结局指标——无或任何3年的增量。在“高风险预测模型”中使用了基于疾病梯度测量的另一种结局。这些模型中具有显著性的变量在不同年级和地点有所不同,但在病因模型中比在预测模型中更一致。然而,在这三组模型中,任何风险预测模型具有最高的敏感性和阳性预测值,而高风险预测模型具有最高的特异性和阴性预测值。文中讨论了确定模型偏好时的考虑因素。

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