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Chinese Journal of Stomatology ; (12): 27-31, 2014.
Article in Chinese | WPRIM | ID: wpr-274149

ABSTRACT

<p><b>OBJECTIVE</b>To investigate the prediction effect of the self-reported periodontal health on moderate and severe chronic periodontitis and its feasibility.</p><p><b>METHODS</b>A 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.</p><p><b>RESULTS</b>Self-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%.</p><p><b>CONCLUSIONS</b>Self-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.</p>


Subject(s)
Humans , Chronic Periodontitis , Data Collection , Logistic Models , Periodontitis , Epidemiology , ROC Curve , Risk Factors , Self Report , Sensitivity and Specificity , Smoking
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