Abstract
OBJECTIVE: Self-reported questionnaire is an efficient method for early detection of periodontal disease and epidemiological surveys. The objective of this study was to develop a self-reported questionnaire for periodontal disease risk assessment.
MATERIALS AND METHODS: We conducted a cross-sectional study of 50 patients with and 51 patients without periodontal disease. Both patient groups completed the same questionnaire that contained items pertaining to the symptoms of periodontal disease. Multiple logistic regression analysis was performed to identify factors associated with periodontal disease risk and to develop a risk score based on the identified items. Receiver-operating-characteristic curve analysis was conducted to determine the predictive accuracy of the score.
RESULTS: A total of 50 patients with and 50 patients without periodontal disease (one of the 51 registered patients without periodontal disease dropped out of the study) were included in this analysis. The results of multiple logistic regression analysis, considered together with the clinical perspectives in periodontology, identified the age, presence/absence of swelling, tooth mobility, plaque and dental calculus, halitosis, and itchy gums as useful barometers for the prediction of periodontal disease. In the receiver operating characteristic curve analysis, the cutoff score was determined to be 7 and the area under the curve was 0.90 for determining the periodontal disease risk.
CONCLUSION: A novel self-reported questionnaire for estimation of the periodontal disease risk in the Japanese population was developed, and its reliability, internal consistency and the predictive accuracy were examined among 40- to 83-year-old Japanese subjects with or without periodontal disease visiting auniversity dental clinic.
