Hongmin Lai1,2,3, Chiu-Wen Su4, Amy Ming-Fang Yen5,6, Sherry Yueh-Hsia Chiu7, Jean Ching-Yuan Fann8, Wendy Yi-Ying Wu4, Shu-Lin Chuang4, Hsing-Chih Liu5, Hsiu-Hsi Chen4, Li-Sheng Chen5,6. 1. QC Dental Clinic, Taipei, Taiwan. 2. Department of Dentistry, National Yang-Ming University, Taipei, Taiwan. 3. School of Dentistry, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan. 4. Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan. 5. School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan. 6. Oral Health Care Research Center, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan. 7. Department and Graduate Institute of Health Care Management, College of Management, Chang Gung University, Tao-Yuan, Taiwan. 8. Department of Health Industry Management, Kainan University, Tao-Yuan, Taiwan.
Abstract
AIMS: The aim of this study was to predict periodontal disease (PD) with demographical features, oral health behaviour, and clinical correlates based on a national survey of periodontal disease in Taiwan. MATERIALS AND METHODS: A total of 4061 subjects who were enrolled in a cross-sectional nationwide survey on periodontal conditions of residents aged 18 years or older in Taiwan between 2007 and 2008 were included. The community periodontal index (CPI) was used to measure the periodontal status at the subject and sextant levels. Information on demographical features and other relevant predictive factors for PD was collected using a questionnaire. RESULTS: In our study population, 56.2% of subjects had CPI grades ≥3. Periodontitis, as defined by CPI ≥3, was best predicted by a model including age, gender, education, brushing frequency, mobile teeth, gingival bleeding, smoking, and BMI. The area under the curve (AUC) for the final prediction model was 0.712 (0.690-0.734). The AUC was 0.702 (0.665-0.740) according to cross-validation. CONCLUSIONS: A prediction model for PD using information obtained from questionnaires was developed. The feasibility of its application to risk stratification of PD should be considered with regard to community-based screening for asymptomatic PD.
AIMS: The aim of this study was to predict periodontal disease (PD) with demographical features, oral health behaviour, and clinical correlates based on a national survey of periodontal disease in Taiwan. MATERIALS AND METHODS: A total of 4061 subjects who were enrolled in a cross-sectional nationwide survey on periodontal conditions of residents aged 18 years or older in Taiwan between 2007 and 2008 were included. The community periodontal index (CPI) was used to measure the periodontal status at the subject and sextant levels. Information on demographical features and other relevant predictive factors for PD was collected using a questionnaire. RESULTS: In our study population, 56.2% of subjects had CPI grades ≥3. Periodontitis, as defined by CPI ≥3, was best predicted by a model including age, gender, education, brushing frequency, mobile teeth, gingival bleeding, smoking, and BMI. The area under the curve (AUC) for the final prediction model was 0.712 (0.690-0.734). The AUC was 0.702 (0.665-0.740) according to cross-validation. CONCLUSIONS: A prediction model for PD using information obtained from questionnaires was developed. The feasibility of its application to risk stratification of PD should be considered with regard to community-based screening for asymptomatic PD.
Authors: Jia-Hong Lin; Che-Chang Tu; Yi-Wen Chen; Chen-Ying Wang; Cheing-Meei Liu; Mark Yen-Ping Kuo; Po-Chun Chang Journal: Int J Environ Res Public Health Date: 2019-11-07 Impact factor: 3.390
Authors: Hong Chen; Rui Zhang; Ran Cheng; Ting Xu; Tao Zhang; Xiao Hong; Xing Zhao; Yunyun Wu; Li Cheng; Tao Hu Journal: BMC Oral Health Date: 2020-05-19 Impact factor: 2.757