OBJECTIVETo investigate the prediction effect of the self-reported periodontal health on moderate and severe chronic periodontitis and its feasibility.

METHODSA total of 330 subjects from five districts of Shenyang city attended the survey.Each subject answered questions about self-reported periodontal health and risk factors of periodontitis and was given a periodontal examination. The predictiveness was assessed by logistic regression modeling measuring receiver operator characteristic (ROC) curve and area under curve (AUC), sensitivity and specificity.

RESULTSSelf-reported periodontal health for the prediction of moderate and severe chronic periodontitis was moderately effective, with AUC of 0.837, sensitivity of 74.8%, specificity of 71.3%.Self-reported periodontal health combined with risk factors of periodontitis was highly effective in prediction of moderate and severe chronic periodontitis, with AUC of 0.912, sensitivity of 82.1%, specificity of 85.4%.

CONCLUSIONSSelf-reported periodontal health can be used for epidemiological investigation of moderate and severe chronic periodontitis.Self-reported periodontal health combined with risk factors of periodontitis can improve the accuracy of the results of the survey.

Chronic Periodontitis ; Data Collection ; Humans ; Logistic Models ; Periodontitis ; epidemiology ; ROC Curve ; Risk Factors ; Self Report ; Sensitivity and Specificity ; Smoking