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박희정 ( Park Hee-Jung ) - 고려대학교 대학원 보건과학과
이준협 ( Lee Jun-Hyup ) - 고려대학교 보건과학대학 보건행정학과
김태일 ( Kim Tai-Il ) - 서울대학교 치의학대학원 치주과학교실
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Abstract
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Objectives: The purpose of this study was to evaluate self-reported symptoms of periodontal diseases. We performed a comprehensive analysis of periodontal health related factors.
Methods: 581 volunteers representing a broad range of age from 20 to 65 were recruited from Seoul and Gyeonggi provinces. They participated in a self-administered survey of which the results were analyzed through the decision tree analysis using the data mining program.
Results: 67% of the participants reported ’bad breath,’ whereas 13.9% of participants reported ’toothache’. The decision analysis revealed that age was the most determining factor of adult periodontal health. Participants in 20s with a profound understanding of their periodontal health status exhibited a low vulnerability to periodontal diseases, whereas those lacking the awareness were more susceptible to the diseases. However, other participants in 30s and older showed a higher vulnerability to periodontal illness than those in 20s, whether or not they had suffered from chronic diseases.
Conclusions: In order to effectively prevent periodontal diseases, an age-appropriate clinical approach will be necessary. For the younger age group it will be crucial to enhance the self-awareness of their current oral health status. On the other hand, those in 30s and older will need to pay a close attention to the prevention of chronic periodontal disease.
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KeyWords
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Data mining, Decision trees, Periodontal health
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원문 및 링크아웃 정보
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등재저널 정보
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